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The worldwide data management software market is massive (According to IDC, the worldwide database software market, which it refers to as the database management systems software market, was forecasted to be approximately $82 billion in 2023 growing to approximately $137 billion in 2027. This represents a 14% compound annual growth rate). At MongoDB we are transforming industries and empowering developers to build amazing apps that people use every day. We are the leading developer data platform and the first database provider to IPO in over 20 years. Join our team and be at the forefront of innovation and creativity. We’re looking for a dynamic and empowering Sales Development Manager who will be responsible for building and leading a team of enterprise ADRs. The role focuses on leadership, development and a high performance culture to execute against our rapid sales goals. We are looking to speak to candidates who are based in Dublin for our hybrid working model. THE OPPORTUNITY In this role, you will have two core priorities: Talent Development & Revenue Development. We view our Account Development Representatives as the next wave of Account Executives at MongoDB. A Sales Development leader at MongoDB hires outstanding talent, maps out the gaps in that rep’s skillset, holds them accountable to reaching their potential, and takes pride in turning that ADR into an AE. You will also be a key asset to our Enterprise Sales organization, partnering with regional leaders across our sales organization, you will be a crucial part of uncovering new opportunities, determining how to unlock new territories, and driving revenue into our pipeline. DAY TO DAY * Attract, hire, retain, and develop talent * Provide strong coaching and mentoring through a deep understanding of sales, our business model, and our sales methodology. * Be involved in prospect qualification and discovery calls/meetings * Provide weekly team performance summary as well as timely and accurate forecast to senior management * Cross functional collaboration to establish scalable processes for incoming lead management and follow-up SLAs and conversions * Develop and own KPI’s, supervise the activity of the team, track the results and drive team execution based on those metrics * Work closely with Field Sales and Inside Sales management to drive increased performance and align pipeline production to our Sales team's needs * Invest in your self-development, focusing on the skills and attributes that will make you successful in your core role and get you set for future success WHAT YOU WILL BRING TO THE TABLE * 2+ years experience prospecting as an individual contributor and closing * 2+ years experience leading/managing with a track record in hiring, developing and promoting * Complex enterprise software experience in a comparable company (technical and multi level decision making) * Experience in open source software sales is a distinct advantage * Excellent verbal, written, listening, and presentation skills. You must be credible with direct reports, customers, recruitment candidates, and internally across the organization at all levels including senior management * Top performer, Results oriented, with a track record of overachievement (President’s Club, Rep of the Year, etc.) * Experience using and implementing a sales methodology THINGS WE LOVE * Familiarity with database, web server, and open source technology * Working experience with Salesforce.com WHY YOU SHOULD APPLY * Great Earning Potential * Welcoming and inclusive workplace - Meet MongoDB’s Employee Affinity Groups! * Continuous career development * Sales training in MEDDIC and Command of the Message * Benefits include Sales Bootcamp Internal mentor and buddy program cross-departmentally ABOUT MONGODB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer. Req ID: 426333
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Roblox is currently at a critical inflection point in its financial evolution. We recently achieved a significant payout milestone to our Creator community in 2025. To successfully build upon this momentum year over year while controlling our costs, a world-class payments and wallets ecosystem is essential to ensure frictionless transactions across the platform for our Users and Creators. This role offers the rare opportunity to lead a 0-to-1 buildout of a new payments division. If successful, you will transition Roblox from standard payment processing to a strategic orchestration model, utilizing AI-driven approach to optimize significant transaction cost. Beyond cost savings, you will spearhead the transformation of our creator payouts, building a product designed to empower the livelihood of millions of developers through instant, transparent, and global financial access. YOU WILL * Own Global Partnership Negotiation & Account Management: Lead RFPs and high-stakes contractual negotiations with major global payment processors (e.g., Stripe, PayPal, etc) and financial institutions. * Establish formal business relationships where none currently exist, securing advantageous commercial terms that are accretive to Roblox’s bottom line. * Build Payment Orchestration Strategy & Development: Lead the transition from current legacy systems to a multi-partner orchestration system. * Achieve optimal routing based on cost and conversion, potentially saving hundreds of millions of dollars in transaction fees in year one. * Transform Creator Payout : Drive the business strategy and partnerships required to modernize our existing infrastructure into a proprietary, end-to-end financial platform for creators to run their businesses on Roblox * Dramatically improve creator retention and satisfaction by reducing payout latency and fees, directly impacting "Time-on-Platform" and developer ecosystem growth. * Lead Cross-Functional Enterprise Deal Execution: Lead cross-functional deal teams comprising Legal, Finance, Privacy, and Engineering stakeholders. * Execute complex contracts that satisfy global regulatory compliance (KYB/KYC/AML) while ensuring speed-to-market for new financial features. * Expand into Emerging Markets: Develop a strategy for handling international currency exchange volatility and local payment methods in high-growth regions. * Unlock revenue in emerging markets by mitigating FX risk and reducing the barrier to entry for new developers. * Bridge Business & Engineering: Translate commercial opportunities into "second-level" technical requirements, such as ledger design and API integration standards. * Ensure the engineering roadmap is aligned with commercial viability, preventing technical debt and ensuring the infrastructure supports real-time global payments. * Optimize Performance : Implement a rigorous "Payment Excellence" framework to monitor authorization rates and fraud thresholds. * Deliver incremental revenue gains where even a 0.01% improvement in authorization rates translates to millions in retained bookings. * Future-Proofing for Agentic Commerce: Evaluate and integrate emerging technologies, including AI agents and blockchain rails, into the payments strategy. * Secure Roblox’s position as a leader in the future "agentic economy," where automated systems may negotiate and execute transactions on behalf of users. YOU HAVE * 10+ years of Business Development experience specifically within the Consumer Financial Services, Digital Payments, Fintech, or Digital Wallet sectors * Proven track record of a 0-to-1 buildout of a payments division or financial product line, demonstrating the ability to operate without established playbooks * Bilingual Fluency (Tech/Business): Ability to articulate complex technical concepts (API orchestration, tokenization, ledger systems) to engineers while simultaneously modeling multi-year economic impacts for C-suite executives. * Global Regulatory Acumen: Deep understanding of the global regulatory landscape, including PSD2, KYC/AML compliance, and card network rules, to navigate international expansion risks effectively. * Complex Negotiation Skills: Demonstrated success in negotiating and signing deals with payment networks, acquirers, and banks, effectively balancing unit economics with legal and privacy constraints. * Strategic Ecosystem Architecture: Ability to view payments not as a utility but as a strategic asset class, capable of designing partnerships that drive long-term ecosystem value rather than just transactional volume. * Analytical Rigor: Strong data processing and analytical skills to model ROI, forecasting, and "payment excellence" metrics (e.g., authorization rates, FX margins). * Leadership in Ambiguity: Experience thriving in unstructured, fast-moving environments where you must influence executive decision-making and manage multiple high-priority workstreams independently. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page. Annual Salary Range $276,310—$310,810 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. WHY DATA SCIENCE & ANALYTICS? The Data Science & Analytics organization's mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and partnering with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure impact on our community of players and developers. WHY ENGINE Systems? Engine Systems team builds the foundational systems for networking, servers, asset loading, and data management, all working in harmony to deliver stable and engaging experiences. This role will focus on the System foundation that provides low level technology to enable efficient development of Roblox itself and the games within it. We build profiling support, concurrency, memory management, scalability systems, and crash reporting. We manage the user experience in real-time and monitors device constraints (like a low-end phone vs. a high-end PC) and adjust graphics and performance on the fly. You Will: * Define Reliability & Stability Metrics – Work on system metrics telemetry logging and validation. Establish key performance indicators for Engine systems such as crash rates, runtime error codes, and quality metrics that directly impact creators and players. * Transform & Visualize Data for Actionable Insights – Access and process raw telemetry data, build robust analytics pipelines and deliver clear insights. Help develop solutions that allow the Engine to intelligently scale quality up or down, ensuring that every player—regardless of their hardware—has a smooth, interactive, and immersive experience. * Design Experiments & Apply Causal Inference – Lead A/B experiments and causal analyses to identify performance opportunities, understand the trade-offs between system stability and other quality factors, measure improvements and feature launches to ensure data-driven decision-making. * Drive Cross-Functional Collaboration – Partner closely with Engineering, Product, Technical Program Managers, and teams across Roblox (e.g., Creator Analytics, Growth, Infrastructure, and Economy) to explore new opportunities and navigate ambiguous problem spaces. * Shape the Future of Roblox’s Foundation – Influence how Engine systems evolve, help deliver a scalable, high-performance, and creator-empowering platform. You Have: * Advanced degree or equivalent experience in Computer Science, Statistics, Engineering, or a related field with a focus on large-scale system analysis. * 4+ years as a Data Scientist, with a proven track record of working on high-volume telemetry, product quality optimization. * Expertise in processing massive, noisy datasets (like crash logs or telemetry pings) and building scalable pipelines for reporting. * Experience using first-principles reasoning to debug complex, ambiguous system failures that don't always have a clear cause. * Experience presenting deep technical results to Engineering leaders and using data storytelling to prioritize work and future investment. * Direct experience with game engines or systems performance preferred * Experience in game development or working on real-time interactive systems preferred * A background or interest in memory management, or OS-level interactions preferred #LI-FO1 #LI-Onsite For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page. Annual Salary Range $221,380—$263,670 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Position Description: The Senior Manager, Customer First Operations, EMEA will play a pivotal role in shaping and scaling our rapidly growing EMEA Customer First organisation. Sitting within our EMEA GTM Operations team, working closely with the Global CX Operations team, this role acts as the primary operational partner for the EMEA VP of Customer First and other senior CX leadership. You will be responsible for establishing and implementing operations rigour and standards for the CX team, spanning Customer Success and Technical Account Management (TAM), while working closely with adjacent teams including Renewals, Support, and Professional Services. In this role, you will design, refine, and continuously optimize our Management Systems, bridging the gap between corporate strategy and regional execution to maximise Net Revenue Retention (NRR). We are looking for an experienced, highly collaborative candidate with a growth mindset, exceptional analytical skills, and an appetite for constant improvement. You will be tasked with integrating the customer journey from sales through to customer success, ensuring that global and local standards are consistently adhered to and operating in support of our aggressive growth targets. Job Duties and Responsibilities: * Be a trusted operational guardrail: Partner deeply with Global Operations to define and maintain strict consistency across processes, preventing regional drift or siloed operations while ensuring global standards support EMEA growth. * Establish and govern the Operating Rhythm: Maintain and govern the "operating rhythm" of the CX organisation. Ensure critical cadences (e.g. Get Well Plans, Account Reviews, Path to Green reviews, and Leader Cadences) run effectively with 100% execution and high data quality. * Drive Management System Optimisation: Act as the operational owner of the EMEA Customer First Management System. Working closely with the Global CX Operations team to translate strategy into predictable regional execution across three core pillars: KPIs, Standards, and Operating Cadences. * Enable Cross-Functional Handoffs: Actively drive Customer First execution by working with operations peers to improve critical intersections. Optimise the handoffs and alignment between Sales, Renewals, Support, Professional Services, and Customer Success. * Maintain Customer Lifecycle Visibility: Keep an uncompromised view of the broader customer lifecycle through every major phase: Purchase & Plan, Learn, Deploy & Adopt, Use & Grow, Renew & Expand, and Advocate. * Mitigate Risk via "Path to Green": Oversee the execution and accountability of regional "Get Well Plans", tracking Churn Dollars Saved against regional worst-case boundaries to proactively transition at-risk segments back to health. * Shift to Leading Metrics: Drive the regional shift from lagging performance indicators (Renewal & Expansion rates) to leading ones (Stakeholder Expansion, Outcome Attainment, Customer Health targets >80% Green, and Lead Pass generation). * Provide Operational Muscle for Scaling: Evaluate operational experiments (e.g. Key Account initiatives) to test new methodologies, optimise workflows, and scale the organisation efficiently. * Deliver Executive Read-outs: Prepare and lead comprehensive Monthly and Quarterly Business Reviews (MBR/QBR) for regional and global stakeholders, delivering a unified, metrics-driven narrative of EMEA performance. * Manage Documentation Lifecycle: Own the quality, freshness, and accuracy of the internal documentation repository, including playbooks, customer asset standards (SBRs, MBRs, QBRs), and operational frameworks. Capacity and Coverage Planning: Drive and support the resource planning process to ensure effective and efficient coverage of top priority accounts aligning with aligned coverage strategies and priorities Minimum REQUIRED Knowledge, Skills, and Abilities: * Demonstrated experience and success in GTM operations, customer success operations, or revenue operations, preferably within a SaaS and Enterprise business model. * Exceptional analytical and quantitative skills; good with numbers, highly logical in thinking, and capable of driving sound decision-making from complex data. * Deep understanding of the end-to-end customer journey, the enterprise software lifecycle, and business outcome attainment. * Strong proficiency in leveraging AI tools and applications to drive operational efficiency, pro * cess automation, and data analysis. * Outstanding collaboration and communication skills (both written and verbal), with a proven ability to partner with cross-functional teams, bridge gaps, and gain buy-in. * A strong growth mindset with an appetite for constant improvement, change management, and navigating high-growth, performance-focused environments. * Extreme attention to detail, specifically regarding data hygiene, governance, and operational rigour. * Deep experience with CRM and CS platforms (e.g. Salesforce.com, Gainsight) and data visualisation/reporting tools. * Proven track record of evaluating operational experiments and implementing successful learnings to optimise workflows. * True team player who is comfortable working with both global and local stakeholders to unify strategies. #LI-Onsite P25441 The Okta Experience * Supporting Your Well-Being * Driving Social Impact * Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one. Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
SLSQ327R469 While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations. As the Alliance Leader, you will own the partner management function for Boston Consulting Group (BCG). This includes strategic partnership planning, sponsor development, capability development, solution development, thought leadership, partnership promotion, business development, and relationship management. You will report to the VP, Partner Program. The impact you will have: * You will expand the mindshare for Databricks within the BCG partner organization, primarily by nurturing and developing multiple sponsors and stakeholders that have a vested interest in the Databricks partnership * You will build a healthy and sustainable services business by expanding the skills and assets, encouraging thought leadership, supporting the development of relevant offerings, promoting the relationship, building a network of stakeholders, and identifying and advancing the pipeline * You will demonstrate the impact of your partner on Databricks adoption (primarily via executive influence and thought leadership) What we look for: * Leadership: experience working with senior executives * Management Consulting: 10+ years of experience with management consulting providers * Relationship Management & Planning: balancing priorities within a relationship to optimize outcomes * Working as a Team: the ability to work across teams to drive outcomes, including account teams, sales management, solution architects, enablement leaders, cloud specialists, field marketing, and operations * Execution Readiness: support practice and skills development for C&SI Partners with a balanced approach to enablement programs, differentiated asset & offering development, internal promotion, marketing activities and delivery excellence * Good Governance: work with your partner to ensure the right governance is in place, including agreements, executive relationships and processes Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range $204,200—$280,775 USD Zone 2 Pay Range $204,200—$280,850 USD Zone 3 Pay Range $204,200—$280,850 USD Zone 4 Pay Range $204,200—$280,850 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
SLSQ327R541 While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations. As the Alliance Leader, you will own the partner management function for McKinsey. This includes strategic partnership planning, sponsor development, capability development, solution development, thought leadership, partnership promotion, business development, and relationship management. You will report to the VP, Partner Program. The impact you will have: * You will expand the mindshare for Databricks within the McKinsey partner organization, primarily by nurturing and developing multiple sponsors and stakeholders that have a vested interest in the Databricks partnership * You will build a healthy and sustainable services business by expanding the skills and assets, encouraging thought leadership, supporting the development of relevant offerings, promoting the relationship, building a network of stakeholders, and identifying and advancing the pipeline * You will demonstrate the impact of your partner on Databricks adoption (primarily via executive influence and thought leadership) What we look for: * Leadership: experience working with senior executives * Management Consulting: 10+ years of experience with management consulting providers * Relationship Management & Planning: balancing priorities within a relationship to optimize outcomes * Working as a Team: the ability to work across teams to drive outcomes, including account teams, sales management, solution architects, enablement leaders, cloud specialists, field marketing, and operations * Execution Readiness: support practice and skills development for C&SI Partners with a balanced approach to enablement programs, differentiated asset & offering development, internal promotion, marketing activities and delivery excellence * Good Governance: work with your partner to ensure the right governance is in place, including agreements, executive relationships and processes Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range $204,200—$280,775 USD Zone 2 Pay Range $204,200—$280,850 USD Zone 3 Pay Range $204,200—$280,850 USD Zone 4 Pay Range $204,200—$280,850 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
CSQ327R104 You will build and lead a team of Delivery Solution Architects (DSAs) responsible for the post-sales success of Databricks' largest Financial Services customers. This is one of the most consequential delivery leadership roles in the company. The customers in your portfolio anchor a strategic vertical for Databricks, and your team's work directly determines how quickly Data and AI transforms how they do business. As a DSA Manager you set the technical strategy across your portfolio, decide where to invest your team's capacity, and partner with Sales, Pre-Sales, Professional Services, and our Systems Integrator ecosystem to move use cases from kickoff to production. You are a hands-on technical sponsor and trusted advisor to a select group of customers, including their C-suite. You build the systems, operating cadences, and playbooks that make your team and the broader DSA practice sharper over time. The DSAs you lead are senior technical talent, drawn from principal-level solution architecture, top-tier consulting, or senior engineering backgrounds. Hiring, coaching, and growing this team is the heart of the job. The impact you will have: * Hire, coach, and develop a high-performing DSA team. Own career growth, calibrated performance management, and individual development plans. * Own capacity planning and investment forecasting across the FINS portfolio. Defend investment decisions with data, alongside sales and field leadership. * Partner with Sales, Pre-Sales, Professional Services, and Systems Integrator partners to accelerate use case delivery and reduce customer risk. * Drive measurable customer outcomes: use-case throughput, time-to-production, consumption growth, and renewal rates. Forecast each across your portfolio. * Bring a programmatic approach to running the business. Build the systems, operating cadences, and playbooks that scale the DSA practice. * Shape and promote the value proposition of the DSA role with our internal partners and our customers. What we look for: * 5+ years of experience managing a customer-facing technical team (DSA, Solution Architect, Technical Account Manager, Customer Success Engineer, or equivalent). * Demonstrated leadership of a team of pre-sales or post-sales technical talent. * Track record of putting data and AI workloads into production at scale, e.g., as a delivery architect, project manager, DevOps engineer, or service or product owner. * Conversant with the business problems and Data and AI use cases in financial services (banking, capital markets, insurance, or asset management preferred). * A bias for building systems, not just running them. A bias for growing people, not just managing them. * Track record of overachievement against quota, Goals or similar objective targets * Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience * Can travel up to 30% when needed Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $197,100—$270,975 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
SLSQ327R173 Databricks is seeking a Lakebase Sales Specialist to help customers modernize their operational data foundation with Databricks Lakebase, our fully-managed Postgres offering for intelligent applications. This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams. Lakebase gives customers a unified, governed foundation for operational workloads and AI-native applications, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity. THE IMPACT YOU WILL HAVE * Drive new Lakebase revenue by identifying, qualifying, and closing Lakebase opportunities within a defined territory, in partnership with regional Account Executives and the broader account team. * Lead with outcomes for key Lakebase personas — including platform teams and developers, data teams, and central IT — articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency. * Sell the value of fully-managed Postgres for intelligent applications, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences. * Run complex, multi-threaded sales cycles from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders. * Orchestrate proof-of-value and POCs that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists. * Compete and win against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references. * Align to measurable business outcomes such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape. * Partner cross-functionally with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs. * Enable the field by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organization. WHAT SUCCESS LOOKS LIKE IN THIS ROLE This role requires the ability to operate across two key motions simultaneously: * Establish top strategic focus accounts by engaging application development teams to create net-new intelligent applications leveraging Lakebase. * Drive longer-term Postgres standardization and migration within Databricks' most strategic accounts. Candidates should demonstrate how they can act as a force multiplier across multiple dimensions of the business. Success in this role requires strength in four areas: 1. Business ownership – Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support. 2. Strategic account engagement – Partner with account teams to engage priority accounts across the global DB700, driving strategic opportunities from initial engagement through successful outcomes. 3. Field enablement – Build and execute enablement plans that empower AEs and SAs to confidently carry the Lakebase conversation even when the specialist is not present. 4. Market voice and thought leadership – Develop an internal and external presence by contributing to global AMAs and internal forums, and by representing Databricks at key first- and third-party events. The interview process is designed to evaluate candidates across all four of these dimensions. WHAT WE LOOK FOR * 7+ years of enterprise SaaS sales experience, consistently exceeding quota in complex, multi-stakeholder deals. * Proven success selling data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure to technical buyers and business leaders. * Strong understanding of modern data and application architectures, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies. * Ability to sell to both technical stakeholders (developers, architects, data engineers) and business stakeholders (product leaders, operations, line-of-business owners). * Demonstrated experience leading specialist or overlay motions, working jointly with core Account Executives to create and progress opportunities. * Executive presence with the ability to whiteboard architectures, lead C-level conversations, and build trust with senior decision makers. * Strong value selling skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes. * Excellent communication, storytelling, and negotiation skills, with comfort presenting to both large and small audiences. * Bachelor’s degree or equivalent practical experience. PREFERRED QUALIFICATIONS * Experience selling Postgres, operational databases, OLTP workloads, or transactional cloud database services, ideally within large or strategic accounts. * Familiarity with data platforms, lakehouse architectures, and cloud ecosystems (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies. * Understanding of reverse ETL, real-time decisioning, and operational analytics use cases, and how they drive value for customer-facing and internal applications. * Exposure to AI-native and agent-driven applications that depend on low-latency, highly scalable operational data services. * Prior experience in a high-growth, category-creating environment, helping shape new plays, messaging, and customer narratives. * Experience collaborating with partners and ISVs to drive joint pipeline and co-sell motions. This description is intended to outline the core responsibilities and qualifications for the Lakebase Account Executive role. Actual responsibilities may evolve as the Lakebase product and go-to-market motions continue to grow and mature. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
SLSQ327R348 Databricks is seeking a Lakebase Sales Specialist to help customers modernise their operational data foundation with Databricks Lakebase, our fully-managed Postgres offering for intelligent applications. This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams. Lakebase gives customers a unified, governed foundation for operational workloads and AI-native applications, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity. The impact you will have: * Drive new Lakebase revenue by identifying, qualifying, and driving Lakebase activations and consumption within a defined territory, in partnership with regional Account Executives and the broader account team * Lead with outcomes for key Lakebase personas, including platform teams and developers, data teams, and central IT, articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency * Sell the value of fully-managed Postgres for intelligent applications, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences * Run complex sales cycles from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders * Orchestrate proof-of-value and POCs that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists * Compete and win against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references * Align to measurable business outcomes such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape * Partner cross-functionally with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs * Enable the field by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organisation What success looks like in this role: This role requires the ability to operate across two key motions simultaneously: * Establish top strategic focus accounts by engaging application development teams to create net-new intelligent applications leveraging Lakebase * Drive longer-term Postgres standardisation and migration within Databricks' most strategic accounts Success in this role requires strength in four areas: 1. Business ownership: Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support. 2. Strategic account engagement: Partner with account teams to engage priority accounts, driving strategic opportunities from initial engagement through successful outcomes. 3. Field, account, & customer enablement: Align customers and the field on the value of Lakebase by equipping AEs and SAs with the messaging and execution motions needed to confidently own accounts without specialist intervention. 4. Market voice and thought leadership: Develop an internal and external presence, and by representing Databricks at key first- and third-party events. The interview process is designed to evaluate candidates across all four of these dimensions. What we look for: * Relevant enterprise sales experience, consistently exceeding quota in complex, multi-stakeholder deals * Proven success selling data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure to technical buyers and business leaders * Strong understanding of modern data and application architectures, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies * Ability to sell to both technical stakeholders (developers, architects, data engineers) and business stakeholders (product leaders, operations, line-of-business owners) * Demonstrated experience leading specialist or overlay motions, working jointly with core Account Executives to create and progress opportunities * Executive presence with the ability to whiteboard architectures, lead C-level conversations, and build trust with senior decision makers * Strong value selling skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes * Excellent communication, storytelling, and negotiation skills, with comfort presenting to both large and small audiences * Bachelor’s degree Preferred qualifications * Experience selling Postgres, operational databases, OLTP workloads, or transactional cloud database services, ideally within large or strategic accounts * Familiarity with data platforms, lakehouse architectures, and cloud ecosystems (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies * Understanding of reverse ETL, real-time decisioning, and operational analytics use cases, and how they drive value for customer-facing and internal applications * Exposure to AI-native and agent-driven applications that depend on low-latency, highly scalable operational data services * Prior experience in a high-growth, category-creating environment, helping shape new plays, messaging, and customer narratives * Experience collaborating with partners and ISVs to drive joint pipeline and co-sell motions This description is intended to outline the core responsibilities and qualifications for the Lakebase Sales Specialist role. Actual responsibilities may evolve as the Lakebase product and go-to-market motions continue to grow and mature. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
SLSQ327R383 Databricks is seeking a Lakebase Sales Specialist Account Executive in Korea to help customers modernize their operational data foundation with Databricks Lakebase, our fully-managed Postgres offering for intelligent applications. This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams. Lakebase gives customers a unified, governed foundation for operational workloads and AI-native applications, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity. THE IMPACT YOU WILL HAVE * Drive new Lakebase revenue by identifying, qualifying, and closing Lakebase opportunities within a defined territory, in partnership with regional Account Executives and the broader account team. * Lead with outcomes for key Lakebase personas — including platform teams and developers, data teams, and central IT — articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency. * Sell the value of fully-managed Postgres for intelligent applications, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences. * Run complex, multi-threaded sales cycles from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders. * Orchestrate proof-of-value and POCs that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists. * Compete and win against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references. * Align to measurable business outcomes such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape. * Partner cross-functionally with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs. * Enable the field by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organization. WHAT SUCCESS LOOKS LIKE IN THIS ROLE This role requires the ability to operate across two key motions simultaneously: * Establish top strategic focus accounts by engaging application development teams to create net-new intelligent applications leveraging Lakebase. * Drive longer-term Postgres standardization and migration within Databricks' most strategic accounts. Candidates should demonstrate how they can act as a force multiplier across multiple dimensions of the business. Success in this role requires strength in four areas: 1. Business ownership – Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support. 2. Strategic account engagement – Partner with account teams to engage priority accounts across the global DB700, driving strategic opportunities from initial engagement through successful outcomes. 3. Field enablement – Build and execute enablement plans that empower AEs and SAs to confidently carry the Lakebase conversation even when the specialist is not present. 4. Market voice and thought leadership – Develop an internal and external presence by contributing to global AMAs and internal forums, and by representing Databricks at key first- and third-party events. The interview process is designed to evaluate candidates across all four of these dimensions. WHAT WE LOOK FOR * 7+ years of enterprise SaaS sales experience, consistently exceeding quota in complex, multi-stakeholder deals. * Proven success selling data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure to technical buyers and business leaders. * Strong understanding of modern data and application architectures, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies. * Ability to sell to both technical stakeholders (developers, architects, data engineers) and business stakeholders (product leaders, operations, line-of-business owners). * Demonstrated experience leading specialist or overlay motions, working jointly with core Account Executives to create and progress opportunities. * Executive presence with the ability to whiteboard architectures, lead C-level conversations, and build trust with senior decision makers. * Strong value selling skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes. * Excellent communication, storytelling, and negotiation skills, with comfort presenting to both large and small audiences. * Bachelor’s degree or equivalent practical experience. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
SLSQ327R282 **We are hiring for multiple roles.** Databricks is seeking a Lakebase Sales Specialist to help customers modernize their operational data foundation with Databricks Lakebase, our fully-managed Postgres offering for intelligent applications. This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams. Lakebase gives customers a unified, governed foundation for operational workloads and AI-native applications, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity. THE IMPACT YOU WILL HAVE * Drive new Lakebase revenue by identifying, qualifying, and driving Lakebase activations and consumption within a defined territory, in partnership with regional Account Executives and the broader account team. * Lead with outcomes for key Lakebase personas — including platform teams and developers, data teams, and central IT — articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency. * Sell the value of fully-managed Postgres for intelligent applications, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences. * Run complex, multi-threaded sales cycles from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders. * Orchestrate proof-of-value and POCs that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists. * Compete and win against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references. * Align to measurable business outcomes such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape. * Partner cross-functionally with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs. * Enable the field by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organization. WHAT SUCCESS LOOKS LIKE IN THIS ROLE This role requires the ability to operate across two key motions simultaneously: * Establish top strategic focus accounts by engaging application development teams to create net-new intelligent applications leveraging Lakebase. * Drive longer-term Postgres standardization and migration within Databricks' most strategic accounts. Candidates should demonstrate how they can act as a force multiplier across multiple dimensions of the business. Success in this role requires strength in four areas: 1. Business ownership – Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support. 2. Strategic account engagement – Partner with account teams to engage priority accounts across the global DB700, driving strategic opportunities from initial engagement through successful outcomes. 3. Field, account, & customer enablement: Align customers and the field on the value of Lakebase by equipping AEs and SAs with the messaging and execution motions needed to confidently own accounts without specialist intervention. 4. Market voice and thought leadership – Develop an internal and external presence by contributing to global AMAs and internal forums, and by representing Databricks at key first- and third-party events. The interview process is designed to evaluate candidates across all four of these dimensions. WHAT WE LOOK FOR * 7+ years of enterprise SaaS sales experience, consistently exceeding quota in complex, multi-stakeholder deals. * Proven success selling data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure to technical buyers and business leaders. * Strong understanding of modern data and application architectures, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies. * Ability to sell to both technical stakeholders (developers, architects, data engineers) and business stakeholders (product leaders, operations, line-of-business owners). * Demonstrated experience leading specialist or overlay motions, working jointly with core Account Executives to create and progress opportunities. * Executive presence with the ability to whiteboard architectures, lead C-level conversations, and build trust with senior decision makers. * Strong value selling skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes. * Excellent communication, storytelling, and negotiation skills, with comfort presenting to both large and small audiences. * Bachelor’s degree or equivalent practical experience. PREFERRED QUALIFICATIONS * Experience selling Postgres, operational databases, OLTP workloads, or transactional cloud database services, ideally within large or strategic accounts. * Familiarity with data platforms, lakehouse architectures, and cloud ecosystems (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies. * Understanding of reverse ETL, real-time decisioning, and operational analytics use cases, and how they drive value for customer-facing and internal applications. * Exposure to AI-native and agent-driven applications that depend on low-latency, highly scalable operational data services. * Prior experience in a high-growth, category-creating environment, helping shape new plays, messaging, and customer narratives. * Experience collaborating with partners and ISVs to drive joint pipeline and co-sell motions. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
SLSQ327R347 Databricks is seeking a Lakebase Sales Specialist to help customers modernise their operational data foundation with Databricks Lakebase, our fully-managed Postgres offering for intelligent applications. This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams. Lakebase gives customers a unified, governed foundation for operational workloads and AI-native applications, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity. The impact you will have: * Drive new Lakebase revenue by identifying, qualifying, and driving Lakebase activations and consumption within a defined territory, in partnership with regional Account Executives and the broader account team * Lead with outcomes for key Lakebase personas, including platform teams and developers, data teams, and central IT, articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency * Sell the value of fully-managed Postgres for intelligent applications, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences * Run complex sales cycles from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders * Orchestrate proof-of-value and POCs that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists * Compete and win against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references * Align to measurable business outcomes such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape * Partner cross-functionally with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs * Enable the field by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organisation What success looks like in this role: This role requires the ability to operate across two key motions simultaneously: * Establish top strategic focus accounts by engaging application development teams to create net-new intelligent applications leveraging Lakebase * Drive longer-term Postgres standardisation and migration within Databricks' most strategic accounts Success in this role requires strength in four areas: 1. Business ownership: Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support. 2. Strategic account engagement: Partner with account teams to engage priority accounts, driving strategic opportunities from initial engagement through successful outcomes. 3. Field, account, & customer enablement: Align customers and the field on the value of Lakebase by equipping AEs and SAs with the messaging and execution motions needed to confidently own accounts without specialist intervention. 4. Market voice and thought leadership: Develop an internal and external presence, and by representing Databricks at key first- and third-party events. The interview process is designed to evaluate candidates across all four of these dimensions. What we look for: * Relevant enterprise sales experience, consistently exceeding quota in complex, multi-stakeholder deals * Proven success selling data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure to technical buyers and business leaders * Strong understanding of modern data and application architectures, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies * Ability to sell to both technical stakeholders (developers, architects, data engineers) and business stakeholders (product leaders, operations, line-of-business owners) * Demonstrated experience leading specialist or overlay motions, working jointly with core Account Executives to create and progress opportunities * Executive presence with the ability to whiteboard architectures, lead C-level conversations, and build trust with senior decision makers * Strong value selling skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes * Excellent communication, storytelling, and negotiation skills, with comfort presenting to both large and small audiences * Bachelor’s degree Preferred qualifications * Experience selling Postgres, operational databases, OLTP workloads, or transactional cloud database services, ideally within large or strategic accounts * Familiarity with data platforms, lakehouse architectures, and cloud ecosystems (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies * Understanding of reverse ETL, real-time decisioning, and operational analytics use cases, and how they drive value for customer-facing and internal applications * Exposure to AI-native and agent-driven applications that depend on low-latency, highly scalable operational data services * Prior experience in a high-growth, category-creating environment, helping shape new plays, messaging, and customer narratives * Experience collaborating with partners and ISVs to drive joint pipeline and co-sell motions This description is intended to outline the core responsibilities and qualifications for the Lakebase Sales Specialist role. Actual responsibilities may evolve as the Lakebase product and go-to-market motions continue to grow and mature. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
SLSQ327R363 Databricks is seeking a Lakebase Sales Specialist to help customers modernize their operational data foundation with Databricks Lakebase, our fully-managed Postgres offering for intelligent applications. This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams. Lakebase gives customers a unified, governed foundation for operational workloads and AI-native applications, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity. THE IMPACT YOU WILL HAVE * Drive new Lakebase revenue by identifying, qualifying, and driving Lakebase activations and consumption within a defined territory, in partnership with regional Account Executives and the broader account team. * Lead with outcomes for key Lakebase personas — including platform teams and developers, data teams, and central IT — articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency. * Sell the value of fully-managed Postgres for intelligent applications, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences. * Run complex, multi-threaded sales cycles from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders. * Orchestrate proof-of-value and POCs that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists. * Compete and win against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references. * Align to measurable business outcomes such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape. * Partner cross-functionally with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs. * Enable the field by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organization. WHAT SUCCESS LOOKS LIKE IN THIS ROLE This role requires the ability to operate across two key motions simultaneously: * Establish top strategic focus accounts by engaging application development teams to create net-new intelligent applications leveraging Lakebase. * Drive longer-term Postgres standardization and migration within Databricks' most strategic accounts. Candidates should demonstrate how they can act as a force multiplier across multiple dimensions of the business. Success in this role requires strength in four areas: 1. Business ownership – Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support. 2. Strategic account engagement – Partner with account teams to engage priority accounts across the global DB700, driving strategic opportunities from initial engagement through successful outcomes. 3. Field, account, & customer enablement: Align customers and the field on the value of Lakebase by equipping AEs and SAs with the messaging and execution motions needed to confidently own accounts without specialist intervention. 4. Market voice and thought leadership – Develop an internal and external presence by contributing to global AMAs and internal forums, and by representing Databricks at key first- and third-party events. The interview process is designed to evaluate candidates across all four of these dimensions. WHAT WE LOOK FOR * Proven enterprise SaaS sales experience, consistently exceeding quota in complex, multi-stakeholder deals. * Proven success selling data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure to technical buyers and business leaders. * Strong understanding of modern data and application architectures, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies. * Ability to sell to both technical stakeholders (developers, architects, data engineers) and business stakeholders (product leaders, operations, line-of-business owners). * Demonstrated experience leading specialist or overlay motions, working jointly with core Account Executives to create and progress opportunities. * Executive presence with the ability to whiteboard architectures, lead C-level conversations, and build trust with senior decision makers. * Strong value selling skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes. * Excellent communication, storytelling, and negotiation skills, with comfort presenting to both large and small audiences. * Bachelor’s degree or equivalent practical experience. PREFERRED QUALIFICATIONS * Experience selling Postgres, operational databases, OLTP workloads, or transactional cloud database services, ideally within large or strategic accounts. * Familiarity with data platforms, lakehouse architectures, and cloud ecosystems (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies. * Understanding of reverse ETL, real-time decisioning, and operational analytics use cases, and how they drive value for customer-facing and internal applications. * Exposure to AI-native and agent-driven applications that depend on low-latency, highly scalable operational data services. * Prior experience in a high-growth, category-creating environment, helping shape new plays, messaging, and customer narratives. * Experience collaborating with partners and ISVs to drive joint pipeline and co-sell motions. This description is intended to outline the core responsibilities and qualifications for the Lakebase Sales Specialist role. Actual responsibilities may evolve as the Lakebase product and go-to-market motions continue to grow and mature. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
SLSQ327R373 Databricks is seeking a Lakebase Sales Specialist Account Executive in Japan to help customers modernize their operational data foundation with Databricks Lakebase, our fully-managed Postgres offering for intelligent applications. This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams. Lakebase gives customers a unified, governed foundation for operational workloads and AI-native applications, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity. THE IMPACT YOU WILL HAVE * Drive new Lakebase revenue by identifying, qualifying, and closing Lakebase opportunities within a defined territory, in partnership with regional Account Executives and the broader account team. * Lead with outcomes for key Lakebase personas — including platform teams and developers, data teams, and central IT — articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency. * Sell the value of fully-managed Postgres for intelligent applications, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences. * Run complex, multi-threaded sales cycles from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders. * Orchestrate proof-of-value and POCs that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists. * Compete and win against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references. * Align to measurable business outcomes such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape. * Partner cross-functionally with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs. * Enable the field by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organization. WHAT SUCCESS LOOKS LIKE IN THIS ROLE This role requires the ability to operate across two key motions simultaneously: * Establish top strategic focus accounts by engaging application development teams to create net-new intelligent applications leveraging Lakebase. * Drive longer-term Postgres standardization and migration within Databricks' most strategic accounts. Candidates should demonstrate how they can act as a force multiplier across multiple dimensions of the business. Success in this role requires strength in four areas: 1. Business ownership – Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support. 2. Strategic account engagement – Partner with account teams to engage priority accounts across the global DB700, driving strategic opportunities from initial engagement through successful outcomes. 3. Field enablement – Build and execute enablement plans that empower AEs and SAs to confidently carry the Lakebase conversation even when the specialist is not present. 4. Market voice and thought leadership – Develop an internal and external presence by contributing to global AMAs and internal forums, and by representing Databricks at key first- and third-party events. The interview process is designed to evaluate candidates across all four of these dimensions. WHAT WE LOOK FOR * 7+ years of enterprise SaaS sales experience, consistently exceeding quota in complex, multi-stakeholder deals. * Proven success selling data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure to technical buyers and business leaders. * Strong understanding of modern data and application architectures, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies. * Ability to sell to both technical stakeholders (developers, architects, data engineers) and business stakeholders (product leaders, operations, line-of-business owners). * Demonstrated experience leading specialist or overlay motions, working jointly with core Account Executives to create and progress opportunities. * Executive presence with the ability to whiteboard architectures, lead C-level conversations, and build trust with senior decision makers. * Strong value selling skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes. * Excellent communication, storytelling, and negotiation skills, with comfort presenting to both large and small audiences. * Bachelor’s degree or equivalent practical experience. PREFERRED QUALIFICATIONS * Experience selling Postgres, operational databases, OLTP workloads, or transactional cloud database services, ideally within large or strategic accounts. * Familiarity with data platforms, lakehouse architectures, and cloud ecosystems (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies. * Understanding of reverse ETL, real-time decisioning, and operational analytics use cases, and how they drive value for customer-facing and internal applications. * Exposure to AI-native and agent-driven applications that depend on low-latency, highly scalable operational data services. * Prior experience in a high-growth, category-creating environment, helping shape new plays, messaging, and customer narratives. * Experience collaborating with partners and ISVs to drive joint pipeline and co-sell motions. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
JOIN US IN BUILDING THE FUTURE OF FINANCE. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the Team & Role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Prediction Markets team at Robinhood is dedicated to delivering a premier trading experience and establishing Robinhood as the leader in the event contracts space. Enabling our customers to trade on the outcome of real-world events aligns directly with our mission to democratize finance for all! We collaborate closely with product managers, designers, and operations specialists to build state-of-the-art trading experiences across a wide variety of real-world events. Our team culture values technical excellence, operational rigor, and a strong sense of collective accountability for our products. As the Engineering Manager for Prediction Markets, you will lead a team of software engineers focused on building the complete user experience for key US and global events. In this leadership position, you will serve as a key partner in growing this business, which represents the fastest-growing segment in Robinhood’s history! You will oversee the delivery of scalable UIs that enable customers to trade on diverse categories such as financials, crypto, sports, and politics. Additionally, you will guide technical architecture, mentor engineers, and help define how the event contracts space evolves across the industry. This role is based in our New York, NY office, with in-person attendance expected at least 5 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What You’ll Do * Lead and support a team of software engineers in owning all consumer-facing features for our prediction markets product. * Be a thought leader with product managers, designers, and operations partners to design and launch trading experiences for major global events. * Define technical roadmaps, establish coding standards, and maintain operational excellence for our prediction market systems. * Mentor and develop engineers on the team, helping them progress in their careers and achieve technical excellence. What You Bring * Experience managing and leading software engineering teams that deliver high-frequency or high-volume transactional systems. * 7+ years of software engineering experience with a strong front-end focus, including proficiency in modern frameworks and languages. * Strong communication skills and experience collaborating with product management and design partners to launch user-facing products. * A bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience. Leadership Expectations Our ambitious roadmap requires a great culture shaped by exceptional leaders. Here’s what we expect from them: * Drive high performance by setting clear, focused goals, giving real-time feedback, stretching top talent, and scaling impact through focus, innovation, and tech. * Hire and retain top talent by setting a high bar, hiring only those who raise it, investing in onboarding, and addressing talent issues quickly and fairly. * Create community by connecting work to purpose, removing friction while prioritizing safety, building trust and inclusion, and leading from the front with integrity. What We Offer * Challenging, high-impact work to grow your career * Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching * Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents * Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more * Employer-paid life & disability insurance, fertility benefits, and mental health benefits * Time off to recharge including company holidays, paid time off, sick time, parental leave, and more! * Exceptional office experience with catered meals, events, and comfortable workspaces. In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $230,000—$270,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $203,000—$238,000 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $180,000—$211,000 USD Click here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. The Content Platform team at Roblox powers the infrastructure behind every asset used across the Roblox ecosystem—enabling creators and developers to bring their visions to life at global scale. From 3D models and images to videos and audio, our platform manages the complete lifecycle of all assets essential for immersive experiences, supporting one of the largest services in the world at over 100+ million requests per second. Our mission is to deliver a seamless, reliable, and innovative content system that empowers creators, supports record-breaking games, and ensures the highest standards of performance and safety for our community. As the Technical Director for Content Platform, you will lead multidisciplinary engineering teams responsible for the technical and product vision of Roblox’s asset infrastructure. You will own the lifecycle of every asset—from creation and upload to storage, indexing, delivery, and rendering in the game client. Your leadership will be critical in scaling our systems, optimizing distributed infrastructure, and enabling new possibilities for creators and players alike. YOU WILL: * Define and drive the long-term strategy, architecture, and priorities for the Content Platform team, ensuring scalable, high-performance asset management * Lead engineering teams in building and maintaining robust, large-scale distributed systems to support the creation, upload, storage, indexing, and delivery of all asset types used on Roblox * Oversee the operation Roblox’s largest backend service, handling 100 million+ requests per second, and ensure reliability, scalability, and efficiency at global scale * Collaborate with cross-functional partners, including product, infrastructure, and developer platform teams, to align engineering initiatives with the needs of creators and the broader Roblox ecosystem * Guide ownership of roadmaps, projects, and outcomes, balancing innovation with operational excellence, security, and cost efficiency YOU HAVE: * 12+ years of experience building high-impact, consumer-facing applications at scale. BS in Computer Science or related experience is preferred * Deep expertise in backend engineering, distributed systems, and large-scale infrastructure, delivering high-performance, reliable platforms in high-traffic production environments * Strong experience working with cross-functional teams YOU ARE: * An innovative technical leader passionate about building world-class infrastructure that powers the creativity of millions * Product-minded, with a keen understanding of developer needs, asset workflows, and the impact of backend systems on user experience * Adaptable and curious, eager to tackle unique technical challenges and drive the future of content platforms at scale For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page. Annual Salary Range $399,420—$457,970 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Roblox is a rich ecosystem encompassing varied product categories across nearly all platforms (mobile, desktop, console, VR, etc.). Keeping our app performant, scalable, and reliable requires a robust technical architecture to empower thousands of engineers to build at scale. As the Senior Product Manager for this space, you’ll drive the creation of foundational systems like our multi-process architecture, resource management systems, and key observability frameworks that power the heart of the Roblox App. You will: * Define the capabilities and inner workings of critical systems like our process lifecycle manager, asset download orchestrator and critical observability frameworks like our sessionization system. * Drive a multi-year roadmap to modernize our App Architecture across key themes like modularization, network resiliency, and resource efficiency. Dive deep into problem spaces with Engineering to ideate new systems to scale our App. * Drive the roadmap for Observability & Logging Systems. Dive deep into monitoring & triage workflows, identifying gaps to create new features and systems that extend our capabilities * Empower our customers. Every feature team across Roblox builds on top of the foundation we build. Work closely with them to evangelize, integrate, and migrate teams to the latest standards. * Write product and technical specifications to communicate requirements & behaviors of the systems we build and unblock the team to relentlessly execute. * Understand, influence, and expand the company’s thinking on central themes like Performance, Reliability, and Maintainability, working together with partner teams on App Performance and Infra Reliability to accomplish shared goals. * Work closely with many passionate internal stakeholders, engineers, designers, data scientists, and product team members. * Present and debate nuanced and difficult decisions with our highly engaged and visionary leadership. * Dive into the technical nitty-gritty, helping make the right decisions on a complex app that is shipping across every major consumer platform. * Grow your career with a company that is growing rapidly. You have: * A degree or equivalent experience in a highly technical field like computer science, software engineering. * Experience as a PM building platforms or highly technical products. * Experience as an engineer or engineering manager building platform products, managing migrations and designing complex systems. * Experience owning and driving roadmaps for teams that span multiple feature areas You are: * A Product or Engineering Manager with a history of driving platforms with large and deeply technical scope. * Experienced, with 5-7 years of product management experience or equivalent and a history of building scalable and extensible platforms operating at mass scale. * Analytical, with experience digging deep into profiling or debugging complex problems. * Highly technical, comfortable with delving into individual features, the overall system, and implementation details. You’re capable of going beyond user needs to define the behavior of technical systems and integrate them to form a broader platform. * An excellent communicator and documenter, with fantastic listening, verbal, and written communication skills. You’re at home understanding and communicating overarching vision and architecture and diving into technical specifications, individual tradeoffs, and priorities * Entrepreneurial, having worked in a fast paced environment, with competing resources and priorities, through the product life cycle from planning, development, through to launch and continuing support. You love to get things done. * Organized, understanding that the best way to build something great is through the joint efforts of many people For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page. Annual Salary Range $280,540—$330,950 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
FEQ327R368 While candidates in the listed location(s) are encouraged to apply for this role, exceptionally well-qualified candidates in other East Coast locations will also be considered. Mission Solutions Architects at Databricks lead the growth of the Databricks Data Intelligence Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science, machine learning, and AI. As a member of our team, you will exercise and grow your expertise in those areas, using open source projects such as Apache Spark™, Delta Lake, and MLflow. This is a customer-facing role, where you will work with customers, your teammates, the product team, our post-sales team,s and partners, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish meaningful outcomes for their businesses. In this process, you will build relationships with our customers, identify and cultivate champions, and establish yourself as a trusted advisor. You will report to a Field Engineering Manager within the Financial Services team at Databricks. The impact you will have: * Partner with the sales team to help customers understand how Databricks can help solve their business problems * Provide technical leadership for customers to evaluate and adopt Databricks * Consult on big data architecture, execute proof of concepts for strategic customer projects, and validate integrations with cloud services and other 3rd party applications * Build and present reference architectures, how-tos, and demonstrate applications for customers * Become an expert in, and promote open source projects (Apache Spark™, Delta Lake, MLflow, and Unity Catalog) across developer communities through meetups, conferences, and webinars * Travel to meet with customers in your territory What we look for: * 7+ years in a customer-facing pre-sales role, or consulting role - preferably working with big-data technologies to solve data engineering and big-data analytical challenges * Experience designing and architecting distributed data systems * Comfortable programming in, and debugging, at least one of: Python, SQL, Scala, Java, or R * Experience working with global system integrators, consulting organizations, or financial services technology, or financial services data providers is a positive differentiator * Experience building solutions with public cloud providers such as AWS, Azure, or GCP * Experience with Data Engineering technologies (Ex: Spark, Hadoop, Kafka) * Experience with Data Warehousing technologies (Ex: SQL, OLTP/OLAP/DSS) * Undergraduate degree or higher in an engineering or mathematics discipline such as Computer Science, Applied Mathematics, Electrical Engineering, etc.) Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $180,000—$247,500 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Req ID: FEQ427R117 Location: Tokyo, Japan At Databricks, our core values are at the heart of everything we do; a culture of proactiveness and customer‑centricity guides us to build a unified platform that makes data and AI accessible to everyone. In Japan Financial Services, we help leading banks, insurers, securities firms, payment providers, and asset managers turn data into a strategic asset – improving customer experience, strengthening risk management, and driving profitable growth. You will be the senior technical leader for a set of strategic FSI accounts in Japan, using your executive‑level technical credibility and Financial Services expertise to shape and execute their data and AI strategy. Reporting to: Manager, Field Engineering – Financial Services, Japan THE IMPACT YOU WILL HAVE * Own technical strategy for key FSI customers in Japan, defining the target architecture and roadmap for their Databricks lakehouse and AI platform. * Lead high‑impact evaluations and designs for priority FSI use cases (e.g., fraud/AML, risk, regulatory reporting, SIEM, Hyper Personalization, trading and investment analytics). * Connect architecture to outcomes, showing how Databricks reduces risk, improves efficiency, and unlocks new revenue, then using those wins to drive broader expansion. * Shape the ecosystem, working closely with cloud providers, global/local SIs, and fintech partners to deliver end‑to‑end solutions on Databricks. * Raise the bar regionally, mentoring other Solutions Architects and contributing reusable reference architectures, patterns, and customer stories for Japan FSI. WHAT WE LOOK FOR * 10+ years in data platforms, analytics, or cloud architecture, including 6+ years working with large Financial Services institutions in Japan. * Proven ability to influence C‑level and director‑level stakeholders (CIO, CDO, CRO, heads of data/AI) and lead high‑stakes technical discussions in Japanese. * Deep hands‑on background in at least one area: Data Engineering, Data Warehousing/Analytics, AI/ML, or Cloud Architecture, with a strong architecture / platform focus. * Experience designing data and analytics solutions for FSI use cases (e.g., risk, fraud/AML, regulatory reporting, SIEM, customer analytics, or trading/investment). * Strong understanding of Japan FSI landscape, including typical organization structures, how decisions are made, and the role of SIs and cloud providers. * Outstanding communication and storytelling skills, able to explain complex architectures to both technical teams and senior business stakeholders. * Language: Native‑level Japanese and business‑level English. If you’re excited about helping Japan’s Financial Services use data and AI to deliver better outcomes – while setting the technical bar for our GTM in Japan – we’d love to hear from you. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
FEQ227R255 MISSION The Industry Lead Solutions Architect will serve as the connective tissue between GTM leadership, field teams, partners, and customers to deepen Databricks' Financial Services positioning by sub-industry. In this role, you will develop opinionated points of view (POVs), and be the primary technical owner of domain-specific messaging and tailored assets, that establish credibility with customer technical and business leadership. You will work with Databricks account and GTM teams to position Databricks as a strategic partner in solving customers' most critical business challenges across Financial Services sub-verticals. This is a high-visibility individual contributor role that will bridge the gap between product capabilities and industry-specific business outcomes, working closely with account teams, partners, and product engineering to drive growth and technical excellence across your assigned vertical. You will split your time across customer-facing engagements, internal collaboration on content strategy and thought leadership, and partner engagement on joint GTM motions. You will report directly to the FS Tech GM leadership within the Financial Services team at Databricks. THE IMPACT YOU WILL HAVE * Define and execute the Databricks Industry strategy — work with Industry GTM leaders to lead creation and curation of high-quality, sub-industry-specific assets (POVs, demos, reference architectures, customer references, evaluation templates, implementation plans) that showcase Databrick’s value for high-priority use cases across Financial Services sub-verticals (e.g., Capital Markets, Insurance, Banking, Payments, Professional Services, Alternative Investments, FinTech, Data Providers) * Create standardized frameworks for asset quality and prioritization — define what "good" looks like for industry assets, and determine prioritization of asset creation including build-vs-partner decisions * Drive joint GTM strategy with partners — collaborate with Global System Integrators (GSIs), Regional System Integrators (RSIs), and data partners to co-build assets, align partner solutions to Databricks sub-vertical POVs, and identify the right partners for specific use cases and implementations * Embed with strategic Financial Services customers — engage directly with customer technical and business leadership, and advise on how Databricks solves their most pressing domain-specific challenges. Aggregate shared pain points across similar customers to refine messaging and asset creation strategy * Guide customers through the full use case lifecycle — from establishing credibility and setting vision, through winning evaluations with "golden" POC templates and reference architectures, to realizing value with recommended implementation partners, sample SOWs, and value realization templates * Scale Industry Adoption: You will act as the field enablement lead, training Solutions Architects (SAs) and partners on how to leverage Databricks assets to accelerate customer success globally. WHAT WE LOOK FOR * Technical Expertise: 15+ years in a customer-facing pre-sales or consulting role, with deep experience in big data technologies (Spark, Delta Lake, MLflow) and cloud platforms (AWS, Azure, or GCP) * Deep domain expertise in Financial Services — strong understanding of sub-industry dynamics across one or more of: Capital Markets, Banking & Payments, Insurance, Asset & Wealth Management, Alternative Investments, FinTech, or Financial Data Providers. Ability to engage credibly with senior business and technology leaders (e.g., Heads of Markets Technology, Chief Data Officers, Heads of Quant Research) * Proven ability to develop and execute industry-specific GTM strategies — experience building outcome-focused content, POVs, and technical assets that resonate with both business and technical personas * Cross-Functional Partnerships: Experience working with global system integrators, consulting organizations, financial services technology, or financial services data providers is a positive differentiator * Leadership & Enablement: Strong communication skills with a track record of mentoring technical teams and enabling partner ecosystems (GSIs and regional boutiques). * Excellent communication and storytelling skills — ability to craft compelling narratives that connect Databricks platform capabilities to measurable business outcomes for Financial Services customers * Education: Undergraduate degree or higher in an engineering or mathematics discipline (Computer Science, Applied Mathematics, etc.) Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $264,000—$363,000 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
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