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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 AND ANALYTICS The Data Science & Analytics organization's mission is to increase our speed, frequency, and acumen in 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. In Data Science & Analytics, you will contribute to horizontal ML systems and infrastructure that enable us to understand the trajectory of users and creators as well as the overall business to inform investment opportunities and accelerate our growth. These systems inform experiment decision making, product roadmaps, and execution risk on our road to connecting one billion users. You Will: * Develop, build, and support large scale forecasting systems for business growth * Develop, build, and support modeling of long-term user outcomes * Design and implement batch prediction infrastructure that ensures high-levels of accuracy, provides explainability, and quantifies uncertainty * Collaborate with data science and product partners to unlock causal understanding of our business growth and to develop scalable solution for measuring ecosystem health * Model and promote a high bar for technical excellence in the broader data science and ML community. * Communicate strategic findings to influence company and team-level roadmaps * Partner with Data Engineering and Data Platform teams to ensure model development, reporting, and monitoring systems are built in a reliable and robust way. You Have: * 5+ years of industry experience in prototyping and building scalable machine learning solutions. * Experience building scalable and robust ETL data and ML pipelines with complex upstream dependencies and accountability for downstream consumers * Experience with time series modeling in practice and theory. Experience with foundational time series models (i.e. transformer based) and fine tuning frameworks. * Demonstrated ability to lead project areas from scratch, and break product requirements into iterative deliverable stages. * Strong communication skills to connect model outputs to company-level strategy and to integrate horizontal solutions into vertical team operations and systems. * An Advanced Degree (MSc or PhD) or equivalent degree in Statistics, Economics, Operations Research, Computer Science, Applied Math, Physics, Engineering, or other quantitative fields. 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 $263,670—$322,820 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.
About Zscaler Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate—we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership, and accountability. We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity. Role We are looking for an Analyst, Business Performance to join our team. This is a hybrid role, reporting to the Director, Business Performance in the Office of CEO Business Performance department. You will lead strategic initiatives and optimize operations across the organization, making your mark on the planning and product roadmap at the forefront of the world’s cloud security leader. You’ll champion innovation and help deliver a growing portfolio of capabilities in threat prevention, visibility, and business enablement. What you’ll do (Role Expectations) * Own and drive complex, cross-functional projects aimed at accelerating growth, optimizing operations, and improving profitability * Collaborate with leadership to design, execute, and track strategic initiatives focused on business growth and operational efficiency * Conduct market research, competitive analysis, and performance reviews to guide growth strategies effectively * Develop and implement data-driven strategies to enhance organizational processes and scalability * Develop and maintain core business models, forecasts, and dashboards to monitor KPIs and communicate findings to stakeholders Who You Are (Success Profile) * You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful. * You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution. * You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact. * You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust. * You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose. What We’re Looking for (Minimum Qualifications) * Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain * Educational Background in Business, Finance, Economics, Operations, or a related field * 3-5 years of experience in strategy, management consulting, or operational roles within dynamic industries * Exhibited expertise in financial modeling, KPI tracking, and performance evaluations alongside strong problem-solving and decision-making skills * Proficiency in analytical tools such as Excel, SQL, Tableau, Power BI, and other data visualization platforms What Will Make You Stand Out (Preferred Qualifications) * Experience leveraging predictive AI models or automated machine learning tools to enhance macroeconomic forecasting and corporate performance dashboards * Experience in industries like consulting, finance, or technology * Prior exposure to strategic planning or change management initiatives #LI-Hybrid #LI-NT1 At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: * Various health plans * Time off plans for vacation and sick time * Parental leave options * Retirement options * Education reimbursement * In-office perks, and more! Learn more about Zscaler's hybrid working model and benefits here. By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
About Agoda At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide. No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us. Get to Know our Team: The Performance Marketing Team of Agoda is a world leader in online marketing. This department is highly data-driven and focused on developing at-scale marketing programs that improve the lifetime value of Agoda customers through measurable marketing programs and channels. The team is a blend of the best analysts, marketing strategists, and data scientists in the world. The marketing leadership at Agoda have deep experience in data science, product, strategy, and other marketing fields and have built an organization that thrives on data, creative ideas, and technology. The Performance Marketing Team also fosters a great learning environment. You will be able to learn and grow by working closely with experts from a variety of backgrounds from all over the world. In this role you'll get to: * Experimentation and optimizing campaign performance: Experiment with pricing strategies on different traffic and segments. Adapt to new product features and roll out changes from successful tests. * Modeling: Analyze vast amounts of data generated by experiments, develop predictive models using data science techniques (eg. understanding demand elasticity from pricing optimization) and liaise with product teams on implementation roadmap * Reporting, analysis and insights: Building dashboards to track performance, derive insights, understand growth levers and communicate recommendations via presentations to stakeholders What you’ll Need to Succeed: * Bachelor’s Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, or science) * Ability to communicate fluently in English * 2+ years’ experience in top-tier management consulting, investment banking, private equity, or strategy/business operations for a fast-growing globally operating tech company * Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL * Good numerical reasoning skills * Proficiency in Excel * Intellectual curiosity It’s Great if you Have: * Experience in digital marketing * Academic research experience #STRA#ANLS#MRKT#3#LI-TR2 #SANFRANCISCO #SANJOSE #LOSANGELES #SANDIEGO #OAKLAND #DENVER #MIAMI #ORLANDO #ATLANTA #CHICAGO #BOSTON #DETROIT #NEWYORK #PORTLAND #PHILADELPHIA #DALLAS #HOUSTON #AUSTIN #SEATTLE #WASHDC #TIRANA #YEREVAN #SYDNEY #MELBOURNE #PERTH #VIENNA #GRAZ #LINZ #BAKU #MINSK #BRUSSELS #ANTWERP #GHENT #CHARLEROI #LIEGE #SAOPAOLO #SOFIA #TORONTO #VANCOUVER #MONTREAL #SHANGHAI #BEIJING #SHENZHEN #ZAGREB #CYPRUS #PRAGUE #BRNO #OSTRAVA #COPENHAGEN #CAIRO #ALEXANDRIA #GIZA #ESTONIA #HELSINKI #PARIS #NICE #MARSEILLE #ROUEN #LYON #TOULOUSE #TBILISI #BERLIN #MUNICH #HAMBURG #STUTTGART #COLOGNE #FRANKFURT #DUSSELDORF #DORTMUND #ESSEN #BREMEN #LEIPZIG #DRESDEN #HANOVER #NUREMBERG #ATHENS #HONGKONG #BUDAPEST #BANGALORE #NEWDELHI #JAKARTA #BALI #BANDUNG #DUBLIN #TELAVIV #MILAN #ROME #NAPLES #TURIN #PALERMO #VENICE #BOLOGNA #FLORENCE #TOKYO #OSAKA #YOKOHAMA #NAGOYA #OKINAWA #FUKUOKA #SAPPORO #AMMAN #IRBID #RIGA #BEIRUT #TRIPOLI #VILNIUS #LUXEMBOURG #KUALALUMPUR #MALTA #CHISINAU #AMSTERDAM #OSLO #JERUSALEM #MANILA #WARSAW #KRAKOW #SINTRA #LISBON #PORTO #BRAGA #CASCAIS #LOURES #AMADORA #ALMADA #DOHA #ALRAYYAN #BUCHAREST #MOSCOW #SAINTPETERSBURG #RIYADH #JEDDAH #MECCA #MEDINA #BELGRADE #SINGAPORE #BRATISLAVA #CAPETOWN #JOHANNESBURG #SEOUL #BARCELONA #MADRID #VALENCIA #SEVILLE #BILBAO #MALAGA #OVIEDO #ALICANTE #LASPALMAS #ZARAGOZBANGA #STOCKHOLM #ZURICH #GENEVA #BASEL #TAIPEI #TAINAN #TAICHUNG #KAOHSIUNG #PHUKET #BANGKOK #ISTANBUL #ANKARA #IZMIR #DUBAI #ABUDHABI #SHARJAH #LONDON #MANCHESTER #LIVERPOOL #EDINBURGH #KIEV #HCMC #HANOI #SANAA #TAIZ #ADEN #GIBRALTAR #MARRAKECH #LODZ #WROCLAW #POZNAN #GDANSK #SZCZECIN #BYDGOSZCZ #LUBLIN #KATOWICE #RIO #SALVADOR #FORTALEZA #BRASILIA #BELO #BELEM #MANAUS #CURITIBA #PORTOALEGRE #SAOLUIS DATA REPRESENTATION DATA ANALYSIS SQL DATA ANALYTICS ANALYTICS PYTHON (PROGRAMMING LANGUAGE) DATA MINING DATA SCIENCE R (PROGRAMMING LANGUAGE) TABLEAU ANALYTICAL SKILLS DATA VISUALIZATION DATABASES BUSINESS ANALYSIS BUSINESS INTELLIGENCE (BI) MICROSOFT SQL SERVER MACHINE LEARNING STATISTICS MICROSOFT POWER BI JAVA FINANCE SHOPEE TRAVELOKA GOOGLE FACEBOOK CTRIP TRIP.COM MAKEMYTRIP GRAB AMAZON PANDAS (SOFTWARE) ARTIFICIAL INTELLIGENCE (AI) INFORMATION TECHNOLOGY CAPITAL ONE ACCENTURE UPWORK DELOITTE MCKINSEY BAIN MICROSOFT UBER LYFT GOJEK LAZADA ALIBABA SHOPIFY EXPEDIA SKYSCANNER PLEASE REVIEW OUR HIRING PROCESS GUIDELINES BEFORE YOUR INTERVIEW — CLICK HERE TO LEARN HOW INTERVIEWING AT AGODA WORKS. DISCOVER MORE ABOUT WORKING AT AGODA * Agoda Careers https://careersatagoda.com * Facebook https://www.facebook.com/agodacareers/ * LinkedIn https://www.linkedin.com/company/agoda * YouTube https://www.youtube.com/agodalife Equal Opportunity Employer At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy. Disclaimer We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
CSQ126R22 As a Training & Operations Manager, you will build and scale a predictable, AI-enabled learning operations engine across APJ that transforms regional execution into disciplined, data-driven, revenue-aligned outcomes. As the operational backbone of the region, you will design systems, not just manage processes, ensuring APJ training operations scale with clarity, control, and commercial rigour. The impact you will have: * Architect and run a scalable, data-driven operating cadence across APJ, including forecasting, QBRs, capacity planning, and executive reporting. * Partner with Sales, Professional Services, and Learning & Enablement leaders to translate global strategy into executable regional plans. * Reduce operational friction by embedding automation, predictive analytics, and AI-first workflows into intake, scheduling, and performance tracking. * Improve forecast accuracy and operational predictability by identifying risks early and driving structured corrective action. * Lead high-priority escalations with discipline and composure, converting recurring issues into systemic improvements. * Increase stakeholder self-sufficiency by shifting standard operational requests into automated, AI-enabled pathways. * Standardize governance frameworks, decision rights, and ownership models to ensure consistent regional execution aligned with global standards. * Optimize regional utilization and fill rates while maintaining cost discipline and delivery quality. * Elevate operational maturity across APJ by driving adoption of data-driven practices and structured execution frameworks. What we look for: * 10+ years of experience in Consulting, Sales Operations, Business Operations, Enablement Operations, or Professional Services Operations within high-growth technology companies. * Proven experience owning regional operating cadence, forecasting frameworks, and large-scale execution models. * Strong commercial fluency, including understanding of utilization, forecast variance, and revenue discipline. * Experience implementing automation, analytics, or AI-driven workflows to improve efficiency and predictability. * Analytical rigor with the ability to translate data into executive-level insight and actionable recommendations. * Experience operating in matrixed, international environments with sensitivity to regional and cultural nuances. * A structured, systems-oriented mindset with the ability to balance speed, governance, and scalability. 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.
MKTQ327R31 The Director, Americas Field Marketing, will lead the transformation of field marketing from event-centric to pipeline-obsessed, driving measurable revenue impact across half of our Americas business for Digital Natives, Startups, Retail, Communications, Media and Gaming, LATAM, and Canada business units. This role reports to the VP of Americas Marketing and owns the pipeline-generation strategy and execution, driving the next evolution of field marketing through data-driven program optimization, innovative demand generation, and scalable growth systems and processes. You'll hire and lead a high-performing team that treats every dollar spent as an investment in a measurable pipeline, moving beyond traditional event metrics to focus on conversion rates, deal velocity, and revenue attribution. The impact you will have: * Pipeline Ownership: Deliver measurable pipeline targets with full accountability for lead-to-revenue conversion across regulated industries * Data-Driven Strategy: Help build Americas field marketing strategy based on rigorous ROI analysis, pipeline attribution, and predictive analytics * Program Evolution: Transform team from event-focused to full-funnel demand generation, creating integrated campaigns that drive pipeline at every stage * Conversion Optimization: Implement testing frameworks and optimization processes that continuously improve conversion rates from awareness to closed-won * Revenue Attribution: Use pipeline attribution and reporting to directly connect field marketing investments to revenue outcomes * Scalable Systems: Design repeatable, scalable programs and processes that generate predictable pipeline growth in a hyper-growth environment * Cross-Functional Excellence: Drive seamless handoffs between marketing and sales with SLA-driven lead management and pipeline acceleration programs * Team Development: Build and mentor a team of pipeline-focused field marketers who understand the full customer journey and revenue impact What we look for: * Pipeline Expertise: 10+ years managing field programs with direct pipeline accountability and proven track record of exceeding revenue targets * Data & Analytics: Advanced proficiency in pipeline attribution, conversion analysis, and ROI optimization using SFDC, Tableau, and marketing automation platforms * Hyper-Growth Experience: 7+ years scaling field marketing programs in fast-growing tech companies, with experience managing large budgets ($2M+) and demonstrating clear ROI * Team Leadership: 5+ years building and leading high-performing field marketing teams with pipeline accountability * Revenue Operations: Deep understanding of demand generation funnels, lead scoring, sales processes, and revenue operations in B2B environments * Innovation Mindset: Proven ability to create breakthrough programs beyond traditional events—digital experiences, account-based campaigns, and omnichannel strategies * Systems & Process: Experience implementing scalable marketing operations, lead management systems, and cross-functional workflows * Stakeholder Management: Strong partnership skills with sales leaders, with the ability to speak their language around pipeline, conversion, and revenue impact 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 $223,400—$307,100 USD Zone 2 Pay Range $201,000—$276,450 USD Zone 3 Pay Range $189,800—$261,050 USD Zone 4 Pay Range $178,700—$245,750 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.
GAQ426R237 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. OVERVIEW: Databricks is seeking a Director of Operations and Strategy of FP&A to fundamentally re-imagine and evolve how our global Financial Planning & Analysis (FP&A) organization operates. Reporting directly to the Head of Finance Data, AI, and Strategy, this leader will serve as a strategic right-hand to FP&A leadership and interface directly with the CFO, the Head of Sales, and other executive stakeholders. This is not a traditional operations role; we are looking for a high-caliber strategist with a fresh perspective who can design the future state of FP&A and personally drive the execution to get us there. You will lead massive, cross-functional programs that embed Data, AI, and modern ways of working into our core financial processes. Crucially, you will champion "Databricks on Databricks"—leveraging our own unified data intelligence platform to eliminate friction, automate workflows, and deliver predictive insights that accelerate our growth. If you possess a blend of elite strategic thinking (e.g., top-tier management consulting) and a proven track record of in-house corporate transformation, this role offers a massive platform for impact. THE IMPACT YOU WILL HAVE * Strategic Advisor & Design Partner: Serve as a key sounding board and right-hand to senior FP&A leadership to design organizational strategies, optimize corporate ways of working, and align financial planning with company-wide growth goals. * Transform FP&A with Databricks: Lead the charge in changing how FP&A operates by embedding the Databricks platform, AI, and machine learning into core finance workflows—moving the team from descriptive reporting to scalable automation and predictive analytics. * Drive High-Stakes, Cross-Functional Execution: Design and execute against complex, large-scale initiatives across Finance, IT, Engineering, Product, and Go-to-Market (GTM). * Executive Visibility & Communication: Own the narrative. Run FP&A leadership forums, orchestrate the OKR and Quarterly Business Review (QBR) processes, and deliver high-impact executive communications to the CFO, Head of Sales, and other top-level leaders. * Commercialization & Scale: Provide a strategic lens on commercialization and scale, ensuring financial processes seamlessly support evolving product strategies, pricing models, and GTM motions. WHAT WE LOOK FOR * Experience: 12+ years of progressive experience, ideally combining elite management consulting with in-house leadership roles within high-growth corporate FP&A or Business Operations functions. * Strategic FP&A Expertise: Deep, foundational knowledge of FP&A architecture, combined with a distinct bias toward strategy and business transformation rather than purely routine operations. * Transformation Catalyst: Proven success leading large-scale corporate transformations, re-architecting legacy workflows, and successfully managing the organizational change that comes with new technologies. * Data & AI Tech Fluency: Experience implementing or managing AI, machine learning, or advanced automation tools within a finance org. Familiarity with SQL, Python, or data analytics platforms is highly desirable; a passion for leveraging the Databricks platform to solve financial complexity is required. * Elite Executive Presence: Exceptional communication and presentation skills (expert-level Google Slides). Ability to command a room, influence senior executives, and distill complex financial transformations into clear, actionable strategies. * Industry Context: Experience in the SaaS or high-tech enterprise software landscape. Exposure to corporate commercialization, pricing strategies, or product-led growth metrics is a strong plus. * Education: Bachelor’s degree in Business, Finance, Economics, or a highly analytical field; MBA or advanced degree preferred. 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. Zone 1 Pay Range $221,800—$305,050 USD 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. Zone 2 Pay Range $199,700—$274,550 USD 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. Zone 3 Pay Range $188,600—$259,250 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.
FEQ327R147 As the Digital Native Go-to-Market Leader, you will drive the global strategy for the world’s most innovative high-growth companies—from late-stage startups to "born-in-the-cloud" giants. You will play a pivotal role in accelerating revenue growth by helping these organizations build their next-generation Data and AI platforms on Databricks. You are not just a strategist; you are a technical authority. You have a strong POV on how Data Intelligence platforms transform digital business models, a deep understanding of the open-source ecosystem, and the ability to engage in "architect-to-architect" discussions with CTOs and VPs of Engineering. You will set the vision, build executive relationships, and develop the programmatic motions required to scale this function globally. The impact you will have: * Global Programmatic Scaling: Design and execute repeatable, global GTM motions that allow the field to effectively sell to Digital Natives at scale. * Strategic Sales Partnership: Work closely with sales and pre-sales teams to identify high-growth use cases, create account-level technical strategies, and build comprehensive sales programs. * Growth of Digital Native Business: Directly engage with priority accounts and influence key stakeholders in strategic deals. * Technical Advisory: Act as a hands-on trusted advisor to CTOs and Engineering leaders, guiding them on setting up modern Data and AI platforms. * Open Source Advocacy: Leverage your deep understanding of the open-source ecosystem (Spark, Delta, MLflow, etc.) to align Databricks’ value proposition with the "build vs. buy" mindset of Digital Natives. * Ecosystem Integration: Collaborate with the partnership, ISV, and Data Marketplace teams to drive adoption of a seamless, interconnected data-sharing ecosystem. * Thought Leadership: Establish yourself as a global technical thought leader by authoring deep-dive technical blogs, contributing to the community, and speaking at major industry events. * Internal Influence: Partner with Product and Engineering teams to influence the Databricks roadmap based on the unique requirements of high-scale Digital Native customers. What we look for: * Technical Chops: Deep, hands-on experience with Databricks and the broader Data/AI landscape. You should be comfortable discussing Spark optimization, LLM fine-tuning, and data lakehouse architecture. * AI Builder Experience: Proven track record of hands-on experience building AI systems (MLOps, GenAI apps, or large-scale predictive models). * Industry Credibility: 10+ years of experience, including significant time spent in leadership roles within a "Digital Native" environment (e.g., high-growth SaaS, FinTech, HealthTech, AdTech, or Marketplace companies). * Open Source Knowledge: A strong understanding of the open-source ecosystem and how it integrates with proprietary enterprise platforms. * Programmatic Vision: Experience developing global, scalable GTM motions—moving beyond "one-off" deals to create a structured engine for global growth. * Community Passion: A genuine desire to help other Digital Native companies avoid "big mistakes" by sharing architectural best practices and "hard-won" lessons. * Executive Presence: Ability to command a room of engineers while simultaneously influencing C-suite stakeholders and VPs of Engineering. * Entrepreneurial Spirit: A "doer" mindset with the ability to operate in a fast-paced, ambiguous environment and drive results across cross-functional teams. 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. Zone 1 Pay Range $308,700—$424,500 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.
SLSQ327R620 The Consulting & Systems Integrator (C&SI) organization accelerates Databricks' growth by building and managing strategic relationships with the world's leading data, AI, and technology services companies. As the Ventures Partner Portfolio Lead, you will drive value, scale, and strategic go-to-market motions across Databricks' portfolio of newly invested partner organizations. You will oversee a model designed to deeply support and scale our highest-performing investment partners post-investment. You will define and execute a cohesive portfolio strategy for fifteen partners. In this role, you will focus on ensuring partners fulfill their obligations, accelerating joint product certifications, driving partner-sourced pipeline, and establishing repeatable joint business plans. You will work cross-functionally with Sales, Product, Engineering, and Marketing to surface scaling signals from the field, eliminate operational blockers, and maximize the long-term enterprise value of Databricks’ venture investments. This role reports to the Vice President of System Integrator Partners. The impact you will have: * Own Joint Business Plan Execution: Oversee the rigorous execution of joint business plans, measuring quarterly progress against named target accounts, consumption milestones, and marketing KPIs. * Accelerate Revenue & Pipeline: Drive partner-led growth by actively accelerating the partner-sourced pipeline and unlocking new market opportunities. * Drive Enablement & Certification: Establish and enforce product-specific certification targets to deepen the partner's technical capabilities and practice size. * Enforce Governance & Obligations: Ensure that newly invested portfolio partners are fully executing and fulfilling their contractual and strategic investment obligations. * Unblock Field Execution: Act as the primary escalation point to resolve partner blockers by collaborating directly with cross-functional leadership across Product, Engineering, and Sales. * Surface Predictive Scaling Signals: Capture and synthesize feedback from the field (e.g., new product traction, geographic expansions, executive talent moves) to feed back into quarterly portfolio scoring refreshes, ensuring the program remains predictive and agile. * Identify Next Generation of Partners: Proactively evaluate the ecosystem and identify the next generation of partners primed for strategic investment and hyper-scale growth. What we look for: * 10+ years of experience building, managing, and scaling strategic partnerships, ideally within venture-backed ecosystems, high-growth alliances, or strategic investment portfolios. * Demonstrated track record of managing a portfolio of strategic partners and delivering measurable business growth, pipeline acceleration, and consumption outcomes. * Deep understanding of alliance organizations, including partner lifecycle management, corporate governance, joint business planning, and cross-functional GTM execution. * Proven experience collaborating cross-functionally with Product, Engineering, Marketing, and Field Sales teams to unblock complex partner technical or commercial hurdles. * Deep domain expertise in enterprise Data, Analytics, AI, and cloud technologies. * Strong operational rigor with experience tracking quarterly performance metrics, compliance obligations, and utilizing field data to update predictive scoring models. * Exceptional executive presence with the ability to influence C-level stakeholders, manage partner obligations diplomatically, and align cross-functional teams around shared business objectives. * Strong strategic planning, operational execution, and people leadership skills with a demonstrated ability to build, coach, and scale a high-performing partner management team. 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 $143,700—$197,550 USD Zone 2 Pay Range $143,700—$197,550 USD Zone 3 Pay Range $143,700—$197,550 USD Zone 4 Pay Range $143,700—$197,550 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.
SLSQ127R420 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. As the GTM Digital Native Programs Leader, you will operate as the de facto COO and scale pipeline and consumption for the high-growth Databricks’ Digital Native vertical. You will partner in a "two-in-a-box" model with the Industry GTM Leader to translate strategy into durable, repeatable commercial execution across a rapidly scaling global field organization. You will work closely with sales and field engineering leaders to ideate, build, execute, and scale global programs. You will play a critical role in shaping Databricks’ growth trajectory. You will be part of a lean GTM leadership that powers sellers to deliver measurable business outcomes through scale & leverage. You will be the lead orchestrator for your industry vertical, at the center of a mandate to inspire executives, drive industry outcomes, and unleash Databricks’ partner ecosystem in the high-growth SaaS space. THE IMPACT YOU WILL HAVE Strategy & Operating Model * Operating Model Ownership: Own and implement end-to-end op-model (across Sales, FE, Product, Engineering, Developer Relations, Partners) in a consistent global approach. * Product-GTM Strategy: Inform the annual Digital Native strategy by synthesizing product telemetry and engineering roadmaps with field signals to identify Big Bets in the digital natives space. * Data-Driven Product Feedback: Synthesize learnings from internal (field, product, engineering, developer relations) & external (customer, partner, developers) stakeholders into durable best practices Market Presence & Influence * Internal Executive Influence: Wield two-way influence on Databricks’ Field (Sales, FE, Business Dev), Product & Engineering leadership: i.e., reflect industry signals in product roadmaps, as well as translate product activation goals into verticalized industry programs * Market Presence: Own and engage with technical & business customer and partner executives, build market presence to uncover signals on technical friction, business value and Databricks differentiators. * Industry Evangelism: Serve as a visible evangelist & thought leader (e.g., open source advocacy, scaling AI adoption), representing Databricks’ at key customer, partner, industry and developer forums Execution & Accountability * Full-Funnel Program Design: Select & design the industry’s programs across products (and verticalize product programs) across the full funnel: demand generation → pipe creation & progression → consumption * Asset Creation: Create high-quality and scalable program assets that will be used by the full field (Sales, FE, BD, Marketing, Ecosystem) at scale * Field Activation & Community: Drive continuous field adoption of program assets and outcomes by cross-pollinating best practices across product and field teams in high-impact community cadences. * Ecosystem Integration: Collaborate with the partnership, ISV, and Data Marketplace teams to drive adoption of a seamless, interconnected data-sharing ecosystem. * Outcome Measurement: Deliver commercial outcomes by establishing measurement and monitoring systems that track product telemetry, industry & partner program performance. * Executive Accountability: Drive cross-functional leadership accountability for program adoption and outcomes through continuous monitoring and executive influence. WHAT WE LOOK FOR Strategic & Operational Mindset * COO Mindset: Proven ability to act as the operational backbone of a business vertical, focusing on pipeline health, organizational efficiency, and execution. * Strategic Execution: A track record of defining and translating complex industry strategies into durable, "field-ready" commercial motions for large organizations. * Programmatic Vision: Experience developing global, scalable GTM frameworks - moving beyond "one-off" deals to create a scalable engine for growth. Technical & Domain Expertise * Technical Chops: Technical knowledge on Databricks critical for this market. Comfort with discussing AI & LLM, Lakehouse, Lakebase, governance * Industry POV: A strong point of view on macro trends in high-growth SaaS and key persona triggers, helping to shape our industry advantage against peers. * Open Source Knowledge: A strong understanding of the open-source ecosystem and how it integrates with proprietary enterprise platforms. * AI Builder Experience: Proven track record of hands-on experience building AI systems (MLOps, GenAI apps, or large-scale predictive models). Execution & Analytical Skills * Full-Funnel Expertise: Deep understanding of sales play mechanics, including lead generation, pipeline progression, and consumption drivers. * Scale Orientation: A "multiplier" mindset with a passion for activating large-scale field organizations and cross-pollinating best practices. * Entrepreneurial Spirit: A "doer" mindset with the ability to operate in a fast-paced, ambiguous environment and drive results across cross-functional teams. Leadership & Scale * Influence Without Hierarchy: Ability to influence & drive outcomes across senior executives & global teams via influence, clarity & presence versus direct reporting lines. * Cross-Functional Orchestration: Skill in collaborating with Product, Engineering, and BD leadership to align product roadmap shifts with commercial requirements specific to high-growth SaaS customers. 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 $269,800—$370,900 USD Zone 2 Pay Range $269,800—$370,900 USD Zone 3 Pay Range $269,800—$370,900 USD Zone 4 Pay Range $269,800—$370,900 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.
Overview: The Sales Compensation Manager (L6) leads complex compensation operations workstreams that drive reliability, scalability, and risk reduction across the sales compensation function. You will own end-to-end commission administration for a large payee portfolio, ensuring flawless execution across payroll submissions, SOX compliance, exception management, and stakeholder delivery, operating at the frontier of what AI and modern tooling make possible so that automation is embedded by default, not bolted on. Operating with a 6–12 month horizon, you’ll independently scope and solve moderately complex problems, influence Directors and Sr. Directors, and raise the bar for the team through mentorship, enablement, and operational discipline with strong automation. The impact you will have: * Own end-to-end sales compensation administration for a large payee portfolio with full accountability for accuracy, timeliness, SOX compliance, and high-quality execution across participant setup, plan distribution, calculation, payment readiness, and payroll submission. * Lead payroll submission for one or more GEOs with 100% accuracy, timeliness, and SOX compliance, including zero-pay confirmations, audit checkpoints, and evidence completeness across controls. * Proactively detect anomalies and apply conservative holds to prevent overpayment; operationalise Exception Committee items with traceable implementation and reduced exception cycle time, leveraging AI-powered anomaly detection and predictive payment risk scoring to identify issues before they reach payroll. * Validate data across source-of-truth systems (Xactly, SFDC, HRIS, Anaplan, etc.), investigate issues such as incorrect credits, quota misalignments, and payout exceptions, and deliver actionable recommendations to leadership, deploying agentic validation workflows and LLM-based solutions to reduce manual reconciliation and improve decision quality. * Lead large or moderately ambiguous projects independently, balancing multiple priorities, defining clear ownership across contributors, and creating repeatable inspection mechanisms (dashboards, check-ins, trackers) that consistently deliver outcomes on time. * Influence business partners across Sales Ops, Rev Ops, Payroll, HR, Legal, Accounting, Finance, etc. by framing decisions in terms of field experience, risk, and audit compliance, acting as the trusted first point of contact in escalation paths. * Own and advance the team’s automation roadmap, driving adoption of AI across commission operations workflows, including intelligent anomaly detection, AI-assisted exception triage, automated evidence generation, and agentic validation of data across source systems, identifying where AI creates real leverage and building repeatable operating rhythms, standardized SOPs, and audit-ready documentation that improve quality, speed, and consistency while reducing execution risk. * Enable the team through templates, playbooks, evidence packs, and exception trackers, mentoring analysts (including offshore resources) to raise execution quality beyond individual scope. What we look for: * 10+ years of end-to-end sales compensation administration and commissions system operations, spanning payroll submissions, SOX control operations, exception modelling/recalcs, and stakeholder deliverables. * Advanced proficiency with Xactly (administration, configuration, reporting, troubleshooting) and Excel/Google Workspace for complex modelling, analysis, and insight generation. * Strong data validation skills across source-of-truth systems (SFDC, HRIS, Anaplan, etc.) with demonstrated ability to detect anomalies, perform complex commission modelling, and translate findings into clear recommendations. * Demonstrated program management experience across payroll and compliance/exception workflows, able to set and run cadences, produce audit evidence packs, define escalation paths, and maintain continuous audit readiness. * Understanding of SaaS go-to-market compensation models, including quotas, OTI, accelerators, overlays, SPIFFs, MBOs, and how plan mechanics influence seller behaviour. * Ability to influence cross-functional partners (Sales Ops, Rev Ops, Payroll, HR, Legal, Accounting, Finance, etc.) by proposing trade-offs, framing risk, and driving shared outcomes without direct authority. * Proven ability to bring structure to ambiguity, scoping complex problems, balancing speed with rigour, and delivering consistent, control-minded execution with minimal oversight. * Comfort prompting and evaluating LLMs as part of daily work, with a practical point of view on where AI creates real leverage in compensation operations versus where human judgment remains essential. Experience deploying AI or automation solutions, whether through vendor tooling, custom workflows, or agentic systems, to measurably improve speed, accuracy, or coverage. Partners with internal AI tooling teams to identify and deploy solutions that reduce manual work and scale the function. 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.
As an Account Executive your mission will be to help further build our India business, which is one of our fastest growing markets in APJ. The Databricks Sales Team is driving growth through strategic and innovative partnership with our customers, helping businesses thrive by solving the world's toughest problems with our solutions. You will be inspiring and guiding customers on their data journey, making organisations more collaborative and productive than ever before. You will play an important role in the business in India, with the opportunity to strategically build your territory in close partnership with the business leaders. Using your passion with technology and drive to build, you will help businesses all across India reach their full potential, through the power of Databricks Data Intelligence Platform. You know how to sell innovation and change and can guide deals forward to compress decision cycles. You love understanding a product in-depth and are passionate about communicating its value to customers and partners. Always prospecting for new opportunities, you will close new accounts while growing our business in existing accounts. The impact you will have: * Prospect for new customers * Assess your existing customers and develop a strategy to identify and engage all buying centres * Use a solution approach to selling and creating value for customers * Identify the most viable use cases in each account to maximise Databricks' impact * Orchestrate and work with teams to maximise the impact of the Databricks ecosystem on your territory * Build value with all engagements to promote successful negotiations and close * Promote the Databricks enterprise cloud data platform * Be customer-focused by delivering technical and business results using the Databricks Data Intelligence Platform * Promote Teamwork What we look for: * You have previously worked in an early-stage company and you know how to navigate and be successful in a fast-growing organisation * 5+ years of sales experience in SaaS/PaaS, or Big Data companies * Prior customer relationships with CIOs and important decision-makers * Simply articulate intricate cloud technologies and big data * 3+ years of experience exceeding sales quotas * Success closing new accounts while upselling existing accounts * Bachelor's Degree 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.
SLSQ427R100 Location: London (potential relocation to Dubai in 2027) Do you want to help solve the world’s toughest problems with Data and AI? That’s what we do every day at Databricks. Reporting to the Middle East and Africa sales leadership team, you’ll partner with a team of accomplished Data, AI and industry specialists. Your mission is to drive the adoption of Databricks across a select group of organisations. We’re looking for a proven Enterprise Account Executive to join our team in London (relocation to Dubai expected early 2027) to deliver net-new strategic business, bringing an informed point of view on Data and Advanced Analytics. Your insight will shape winning strategies and together with our teams and partners enable you to deliver exceptional value to customers. THE IMPACT YOU WILL HAVE: * Assess your accounts and develop a strategy to engage all buying centres, driving deals forward and shortening decision cycles * Use a solution-led approach to create meaningful value for new logo accounts * Identify and close quick wins while managing longer, complex sales cycles * Own a defined list of prospects and build strategies targeting all critical stakeholders * Support broader customer transformation goals through strategic partnerships, well-scoped services, training, and targeted Executive engagement * Build strong value throughout the sales process to guide successful negotiation * Orchestrate cross-functional teams to maximise impact across your ecosystem * Own the consumption narrative, using demand plans to surface high-value use cases in each account * Stay customer-centric by delivering both technical and business outcomes through the Databricks Intelligence Platform WHAT WE LOOK FOR: * Strong new business development background with a track record of closing and exceeding quota in consumption based business (SaaS, PaaS, IaaS). * Experience navigating procurement frameworks and mechanisms * Background in Cloud software, open source technology, or the Data and AI space * Experience driving adoption of usage-based SaaS services and co-selling with AWS, Azure or Google Cloud * Ability to identify key use cases and buying centres to expand Databricks’ value within an organisation * Methods for co-developing business cases and securing C-level sponsorship Experience building strong champions, collaborative teams and productive partnerships * Understanding of consumption-based land-and-expand sales models Familiarity with robust sales methodologies (e.g., account planning, MEDDPICC, Value Selling) and accurate forecasting * Demonstrated contributions and a consistent track record of success * Based in London (potential relocation to Dubai in 2027) with availability for travel. * Demonstrable experience working with integration partners * Fluent English, knowledge of Arabic is a plus. 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.
SLSQ327R89 Location: London (potential relocation to Dubai in 2027) Do you want to help solve the world’s toughest problems with Data and AI? That’s what we do every day at Databricks. Reporting to the Middle East and Africa sales leadership team, you’ll partner with a team of accomplished Data, AI and industry specialists. Your mission is to drive the adoption of Databricks across a select group of organisations. We’re looking for a proven Enterprise Account Executive to join our team in London (relocation to Dubai expected early 2027) to deliver net-new strategic business, bringing an informed point of view on Data and Advanced Analytics. Your insight will shape winning strategies and together with our teams and partners enable you to deliver exceptional value to customers. THE IMPACT YOU WILL HAVE: * Assess your accounts and develop a strategy to engage all buying centres, driving deals forward and shortening decision cycles * Use a solution-led approach to create meaningful value for new logo accounts * Identify and close quick wins while managing longer, complex sales cycles * Own a defined list of prospects and build strategies targeting all critical stakeholders * Support broader customer transformation goals through strategic partnerships, well-scoped services, training, and targeted Executive engagement * Build strong value throughout the sales process to guide successful negotiation * Orchestrate cross-functional teams to maximise impact across your ecosystem * Own the consumption narrative, using demand plans to surface high-value use cases in each account * Stay customer-centric by delivering both technical and business outcomes through the Databricks Intelligence Platform WHAT WE LOOK FOR: * Strong new business development background with a track record of closing and exceeding quota in consumption based business (SaaS, PaaS, IaaS). * Experience navigating procurement frameworks and mechanisms * Background in Cloud software, open source technology, or the Data and AI space * Experience driving adoption of usage-based SaaS services and co-selling with AWS, Azure or Google Cloud * Ability to identify key use cases and buying centres to expand Databricks’ value within an organisation * Methods for co-developing business cases and securing C-level sponsorship Experience building strong champions, collaborative teams and productive partnerships * Understanding of consumption-based land-and-expand sales models Familiarity with robust sales methodologies (e.g., account planning, MEDDPICC, Value Selling) and accurate forecasting * Demonstrated contributions and a consistent track record of success * Based in London (potential relocation to Dubai in 2027) with availability for travel. * Demonstrable experience working with integration partners * Fluent English 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.
SLSQ227R659 Databricks Administrative Assistants (AA) play an important role in driving efficiency and scaling our most senior leaders. As we expand our offices globally, we are looking for Executive Assistant in Korea to support our leadership team. These roles will work directly with our EA/AA in the United States to support the calendar scheduling, travel, expenses, and correspondences with internal and external stakeholders on behalf of our leaders. EA will support a Vice President based in Korea and a Director based in Korea, this role may be required to travel to support critical company events. The impact you will have: * The executive staff is efficient in their use of time, leading to a more productive team and company. * Manage complex calendars - organizes all meetings including but not limited to team meetings, customer, and internal business partner meetings across international time zones and makes travel arrangements. * Supported executives' calendars are accurate and forward-looking. * The calendar is effectively prioritized and meetings are scheduled in a timely manner. * Executive travel is planned and booked 30 days out; invoices and expenses are submitted within 2 weeks of cost occurring. * Act as a primary point of contact for any stakeholders for all meeting requests. * Builds and maintains records of all meeting requests and closes out all requests in a timely manner. Keeps to a strong SLA on responding to requests. * Ensures all meeting invites have the appropriate details to have an effective meeting outcome. * May be required to support other executive staff members if there's a gap in coverage due to PTO, sickness, maternity leave or other absence. * Manage confidential information with discretion and sensitivity. * Act as a liaison with other organizations while coordinating efforts to promote proper communication and collaboration. What we look for: * 6+ years of applicable executive administrative experience, from a global software organization * Attention to detail, organization and process abilities * Strong calendaring skills (Gmail and Google Calendar experience mandatory) * Language Proficiency: Native-level fluency in Korean and professional working proficiency in English (both written and verbal) * Excellent organizational, time-management and prioritization skills * Strong teamwork skills; ability to offer suggestions and improvements to process and work very collaboratively with others * Relationship management skills, and the ability to build a personal network throughout the company * Excellent verbal and written communication skills * Willing to adjust the schedule to the respective time zones of the supported. * Ability to communicate clearly and effectively with senior leaders and external partners * Ability to maintain confidentiality and handle sensitive information with discretion * Proactive and solution-oriented mindset 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.
CSQ227R42 FIELD TECHNICAL PROGRAM MANAGER, FORWARD DEPLOYED ENGINEERING - LATAM At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! As a Field Technical Program Manager at Databricks, you will be a key driver in our Forward Deployed Engineering team's mission to accelerate and de-risk customer outcomes. Your role is central to achieving project goals and maintaining exceptional customer satisfaction, particularly within our LATAM customer base. While you are not expected to have hands-on coding experience, your technical acumen and strategic influence will be critical for guiding complex engagements to success. You will work closely with cross-functional teams to deliver excellence at every stage. THE IMPACT YOU WILL HAVE * Be responsible for the successful delivery of our most complex customer engagements by providing technical leadership and guidance to the implementation team. * Guide technical teams through key architectural decisions, helping them navigate trade-offs between established and innovative approaches. * Proactively identify and mitigate technical risks and dependencies that could impact project timelines and goals. * Individually deliver on commitments by producing high-quality deliverables, status reports, program plans, and customer responses that require minimal rework. * Effectively manage all aspects of a program, including scope, schedule, budget, risk, and resources, with a focus on technical complexity. * Act as the primary point of escalation for customers regarding technical delivery issues and, as needed, escalate to other parts of Databricks for rapid resolution. * Build trust and credibility with technical teams and stakeholders by clearly articulating Databricks’ vision and solutions and facilitating productive, goal-oriented meetings. WHAT WE LOOK FOR * Technical Acumen & Decision Making: A proven ability to stay current on technology trends and make sound technical decisions without being a hands-on coder. * Program & Project Management: Experience managing large, complex engagements and mitigating unexpected technical challenges. Familiarity with managing the trade-offs between scope, budget, and timeline. * Communication & Leadership: Excellent communication, negotiation, and conflict resolution skills. A track record of influencing technical teams and effectively tailoring messages for different audiences, from engineers to executives. * Experience with BI, data management, and big data technologies is preferred. * Proven ability to multitask and manage multiple engagements while delivering a high level of customer satisfaction. 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.
SLSQ427R156 Location: London (relocation to Dubai expected early 2027) Do you want to help solve the world’s toughest problems with Data and AI? That’s what we do every day at Databricks. Reporting to the Middle East and Africa sales leadership team, you’ll partner with a team of accomplished Data, AI and industry specialists. Your mission is to drive the adoption of Databricks across a select group of organisations. We’re looking for a proven Enterprise Account Executive to join our team in London (relocation to Dubai expected early 2027) to deliver net-new strategic business, bringing an informed point of view on Data and Advanced Analytics. Your insight will shape winning strategies and together with our teams and partners enable you to deliver exceptional value to customers. THE IMPACT YOU WILL HAVE: * Assess your accounts and develop a strategy to engage all buying centres, driving deals forward and shortening decision cycles * Use a solution-led approach to create meaningful value for new logo accounts * Identify and close quick wins while managing longer, complex sales cycles * Own a defined list of prospects and build strategies targeting all critical stakeholders * Support broader customer transformation goals through strategic partnerships, well-scoped services, training, and targeted Executive engagement * Build strong value throughout the sales process to guide successful negotiation * Orchestrate cross-functional teams to maximise impact across your ecosystem * Own the consumption narrative, using demand plans to surface high-value use cases in each account * Stay customer-centric by delivering both technical and business outcomes through the Databricks Intelligence Platform WHAT WE LOOK FOR: * Strong new business development background with a track record of closing and exceeding quota in consumption based business (SaaS, PaaS, IaaS). * Experience navigating procurement frameworks and mechanisms * Background in Cloud software, open source technology, or the Data and AI space * Experience driving adoption of usage-based SaaS services and co-selling with AWS, Azure or Google Cloud * Ability to identify key use cases and buying centres to expand Databricks’ value within an organisation * Methods for co-developing business cases and securing C-level sponsorship Experience building strong champions, collaborative teams and productive partnerships * Understanding of consumption-based land-and-expand sales models Familiarity with robust sales methodologies (e.g., account planning, MEDDPICC, Value Selling) and accurate forecasting * Demonstrated contributions and a consistent track record of success * Based in London (relocation to Dubai expected early 2027) with availability for travel. * Demonstrable experience working with integration partners * Fluent English, knowledge of Arabic is a plus. 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.
SLSQ327R621 Do you want to help solve the world's toughest business problems with Data and AI? This is what we do every day at Databricks. We are looking for a Senior Manager, Emerging Enterprise (DACH) to join our world-class, hyper-growth organisation. In this first line leadership position, you will define the go to market strategy, business plan and cohesive sales strategy for the DACH region, in order to meet annual business segment goals and KPIs. You will lead and grow a team of experienced Emerging Enterprise Account Executives in growing a productive and sustainable business in this pivotal territory. This role is based in Germany. The impact you will have: * You will build, own and implement revenue plans to exceed sales targets * You will lead your team team to effectively communicate the Databricks value proposition and understand how this relates to customer goals * You will manage alignment of Account Executives within their territories, ensuring adherence to Databricks sales processes and achievement of quota * You will drive efficiencies and productivity across your territory, guiding Account Executives on accurate forecasting, pipeline development and activity tracking * You will support strategically important accounts within your territory, providing leadership to the sales team * You will align with the leadership team on quota setting and territory carving * You will raise the bar with hiring and development objectives * You will create long-term trust-based relationships with employees, partners, and cross functions * You will calibrate and align performance expectations across your teams in a constructive, motivating manner What we look for: * Strong first line management experience * Strong sales experience in Data and AI or technology sales experience * In-depth knowledge of how software is positioned and sold to IT and/or Data executives * Strong written, verbal, presentation, and organizational skills, with the ability to articulate and evangelize the value of Databricks solutions * Passionate about coaching and developing talent * Extensive knowledge of sales methodologies ie MEDDICC, CoM, Challenger etc * Experience launching initiatives to create impact at scale * Ideally will have had exposure to the Startup, Emerging Enterprise and/or Digital Native space * Business fluency in English and German 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.
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. ABOUT THE ROLE Jobs Platform is Roblox's multi-tier orchestration system for microservices, powering AI Inference across Roblox. Through a simple developer API, we deliver a "deploy and forget" runtime, hiding the complexity of scheduling, scaling, and reliably running services across our on-prem and multi-cloud footprint at global scale. As Principal Product Manager, Jobs Platform, you'll take the helm at a defining moment - leading the charge as we scale the platform to become the default runtime for critical Roblox services worldwide. YOU WILL * Own Jobs Platform end-to-end - set the multi-year vision for how Roblox engineers deploy, run, and scale AI and other services across our Core and Edge Datacenters, and cloud. * Power Roblox's AI future - build the platform that brings frontier models and next-gen AI workloads to life, with the primitives, scheduling guarantees, and resource classes AI teams need to move fast. * Evolve the platform's technical core - define how Roblox prioritizes, isolates, and preempts workloads across shared fleet, and shape the entire system across global control plane, multi-region orchestration, distributed systems primitives, capacity/state management, DR/failover, and operator-based Kubernetes extensions. * Make developer experience the reason teams choose Jobs Platform - by delivering integrated tooling (CI/CD, telemetry, profiling, tracing) and managing robust SLOs via real-time fleet signals (health, queue depth, scheduling efficiency)—all while engineering a frictionless, effortless onboarding experience for teams. * Architect intelligent, predictive scaling - advance Multi-Cloud Bursting from reactive to proactive with AI-powered prediction, and partner with Data Science and Finance on demand forecasting, cost-to-serve analytics, and AI-driven resource optimization. * Own the trade-off calls across efficiency, latency, cost-to-serve and time-to-ship, while maintaining reliability. * Lead cross-functionally, acting as the connective tissue between Jobs Platform Users, and Jobs Platform, AI, and infrastructure engineers. YOU HAVE * 7+ years of product management experience building resource orchestration, workload management platforms or large-scale distributed systems * Track record of building developer-facing platforms that engineers genuinely love to use. You have a deep understanding of modern software development lifecycle and developer tooling with a history of abstracting complex infrastructure into clean, maintainable platform schemas. * Built and operated Kubernetes and enterprise-grade service mesh at scale, and you understand the developer pain points around control plane mechanics like etcd scaling and API server bottlenecks. You've shipped custom Operators, Controllers, and CRDs, going beyond vanilla Kubernetes. * Familiarity with GPU/accelerator architecture and the complex scheduling challenges that come with it. * Background in AI model development, training, inference * A builder mindset - you are passionate about prototyping, evolving products through rapid iteration, and leveraging AI for ideation and unlocking value for users. * Experience building workload management or resource orchestration platforms in AWS, Google Cloud Platform (GCP), Azure or other cloud providers. (preferred) * Kernel-level experience or familiarity with custom kernel drivers. (preferred) * Experience building agentic systems for workload management or infrastructure. (preferred) 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.
Company Introduction: Coupang is reimagining the shopping experience with the goal of wowing each customer from the instant they open the Coupang app to the moment an order is delivered to their door. Our services in Taiwan include “Rocket Delivery” which offers next-day delivery for a wide selection of items at affordable prices, “Rocket Oversea” which offers free international delivery on millions of best-selling products from Korea, the U.S., and beyond. We are looking for talents to help us lead Coupang’s expansion in Taiwan. This is an exceptional opportunity to become a part of Coupang’s growth in Taiwan and create a world where our customers wonder, “How did I ever live without Coupang?” Role Overview: We're in search of a Staff Data Scientist to join our supply chain management technology team. This role is ideal for someone deeply passionate about applied research, AI/ML, and Operations Research, eager to collaborate across product, engineering, business, and operations to tackle the most complex challenges in supply chain management. The successful candidate will thrive in an interdisciplinary environment, adept at developing production solutions from scratch or enhancing existing ones, and will play a pivotal role in shaping and executing the vision for automating supply chain management. What You Will Do: * Collaborate closely with cross-functional teams, including product, engineering, and business, to identify opportunities for enhancing our technology products, translating ambiguous business requirements into practical solutions. * Conduct comprehensive research and analysis to inform model development, establishing metrics and success criteria for evaluating solution effectiveness * Deliver data-driven solutions to support automated decision-making at scale, leveraging advanced Statistics, Machine Learning, and Operations Research techniques to optimize business processes and make data-driven decisions/predictions * Analyze/solve complex data problems using innovative methods, such as deep learning, and communicate findings to technical and non-technical stakeholders through clear and concise reports and presentations * Provide analysis for launched solutions to quantify outcomes based on real-world results, identifying areas for improvement and opportunities for future development Basic Qualifications * Bachelor's/Master's degree in mathematics/statistics, computer science/engineering, industrial engineering, operations research, or any other quantitative disciplines, with 5+ years of relevant experience working in industry or academia * Hands-on experience in statistics/ML fundamentals and demonstrated experience in Python, SQL, and basic visualization tools (e.g., Tableau, Power BI) * Strong critical thinking skills and ability to solve ambiguous problems supported by solid knowledge of data science and machine learning fundamentals, with proven experience to formulate business problems to data science solutions * Ability to conduct analysis independently for a business problem through data manipulation, hypothesis formulation, experiment design, and statistical analysis * Excellent written and verbal communication skills to effectively engage with technical and business stakeholders at all levels, including presentation development and delivery Preferred Qualifications: * Strong ability to model ambiguous business and operational problems at the appropriate level of abstraction, with a focus on delivering practical solutions * Advanced proficiency with machine learning frameworks, tools, and languages such as Python, R, Java, TensorFlow, and PyTorch, with experience building ML/DL models to handle large-scale datasets * Proven experience in AI/ML-driven demand forecasting, lead time prediction, causal models, fulfillment rate prediction, with the ability to collaborate with ML Engineers and Data Analysts to optimize model development and deployment * Experience designing and implementing large-scale optimization solutions for complex business problems * Expertise in developing and deploying advanced algorithms, including decomposition methods, heuristics/metaheuristics, and hybrid methods * Familiarity with Big Data ecosystem (Spark, Hive, HBase) and SQL/NoSQL (Redis/MongoDB) for handling complex data transformations and analysis * A deep understanding of the e-commerce business domain and the ability to apply cutting-edge models into production environments, driving measurable results Recruitment Process * Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer * The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances. * Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage. Details to Consider * This job posting may be closed prior to the stated end date for application if all openings are filled. * Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process. * Coupang does not discriminate against disabled applicants or those with veteran status. * We are proud to offer equal opportunities for all applicants. Privacy Notice * Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice is located below. https://privacy.coupang.com/en/land/jobs/
P-1093 At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. The ManagedTables team at Databricks is responsible for the DataIntelligence initiatives that underpin the Unity Catalog ManagedTables offering. This encompasses products such as Predictive Optimization, Liquid Clustering, and control plane services facilitating Unity Catalog and Iceberg Rest Catalog API-based access to ManagedTables. The team is accountable for optimizing exabytes of data and saving millions of dollars annually for our customers through the Data Intelligence offerings. As part of this team, you will be working on realizing enterprise grade autonomous analytical datasystems - that ensure the best performance out-of-the-box. You will design and implement these next gen systems that leapfrog state-of-the-art: * Storage lifecycle and additional background optimizations for a knob-free experience via Predictive Optimization * Efficient storage structures and innovations to power storage layout solutions for the ML world * Influence the Data format and Catalog interface unification efforts and enable strong ecosystem interoperability for ManagedTables The Impact you will have: * Solve real business needs at large scale by applying your software engineering experience and by driving strong collaboration with Product partners * Deliver a highly scalable, available, and inter-operable architecture for Managed Tables. * Low level systems debugging, performance measurement & optimization on large production clusters. * Build architecture design, influence product roadmap, and take ownership and responsibility over new projects. * Introduce tools to allow greater automation and operability of services. * Use your deep experience to help prevent and investigate production issues. * Plan and lead complicated technical projects that work with several teams within the company. * Mentor and up-level engineers on the team What We’re Looking For: * 15+ years industry experience building and supporting large-scale distributed systems. * A passion for database systems, storage systems, distributed systems, language design, or performance optimization * Experience working towards a multi-year vision with incremental deliverables * Motivated by delivering customer value and impact. * Strong foundation in algorithms and data structures and their real-world use cases. * Experience driving company initiatives towards customer satisfaction. * BS/MS/PhD in Computer Science or related majors, or equivalent experience. 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 $228,600—$314,250 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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