Search results for "Proposal Management"

Adyen

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition.  For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. The role The Head of Credit Risk is a pivotal global leadership position within Adyen’s Operations function. While our Second Line defines the boundaries and Product builds the tools, Merchant Risk owns the execution. You are responsible for the day-to-day management of Adyen’s counterparty exposure originating from credit risk and chargeback risk. As the chair of the Merchant Risk Committee (MRC) and a member of the Risk Committee (RC), you are the operational voice that bridges the gap between commercial ambition and financial prudence. What you’ll do  * Global Leadership: Lead and scale a high-performing global team across Amsterdam, Singapore and Chicago. You will ensure consistency in decision-making while accounting for regional market differences. * Operational Risk Ownership: Oversee the daily monitoring and manual review of high-exposure merchants within the MPL (Merchant Potential Liability) and Credit Risk (Adyen Capital/Charge Cards) frameworks. * High-Stakes Decisioning: Act as the final operational escalation point for "edge case" approvals. You will ensure your teams are prepared and ready to present formal proposals for high-risk merchant decisions to the Merchant Risk Committee (MRC). * Strategic Influence: While Product owns the models and Second Line owns the appetite, you are the primary feedback loop. You will use operational data to influence and propose changes to Credit Models, Risk Policies, and Risk Appetite. * Collections Strategy: Direct the global Collections function, ensuring that when risks materialize, recovery efforts are swift, professional, and effective. * Stakeholder Navigation: Maintain a tight partnership with Product to ensure risk tools are fit-for-purpose and with Second Line Risk to ensure operational alignment with corporate governance. Who you are * 8+ years in an operational risk or credit leadership role within Fintech or high-volume payments. * Experience managing global, multi-region teams is preferred but not essential. * Deep understanding of the merchant lifecycle, bankruptcy risk, and the mechanics of lending/charge cards. * Excellent Communication: Ability to translate complex operational risks into clear, concise proposals for executive committees. * You don't just follow the policy—you identify when the policy is outdated and have the data-backed confidence to propose a better way forward. Our Diversity, Equity and Inclusion commitments  Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen.  Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application! What’s next? Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility. Adyen is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status. All your information will be kept confidential according to EEO guidelines.   Additional Information This role is based out of our Amsterdam office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.

Stripe

WHO WE ARE About Stripe   Stripe is a financial infrastructure platform for businesses. Millions of companies — from the world's largest enterprises to the most ambitious startups — use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.   About the team   AI agents are starting to shop, buy, and pay on behalf of people and businesses. Agentic commerce is how Stripe makes that safe, reliable, and ubiquitous for both agents and sellers. We're building this from close to zero, and it's critical that we make our offerings globally available, including to many of our most strategic users in APAC.   This role anchors that work in the region, based in our Singapore office. As one of the first engineers on the ground, you will shape agentic commerce, broadly, and how it localizes to APAC, specifically. WHAT YOU'LL DO You'll set technical direction for agentic commerce in APAC and build it. This is a founding-engineer role in a new area: high ownership, ambiguous problems, and users who are inventing their businesses alongside us. Because you'll work many time zones from the core team, you'll operate with a high degree of autonomy. Stripe generally prizes clear writing, and this role is no exception: crisp documents are a particularly effective way to collaborate across time zones.   You'll also spend real time with users. Some of the most important agentic commerce partners in the world are in APAC, and you'll be in the room with them — understanding what they're trying to build, turning that into architecture, and shipping it back to them fast. RESPONSIBILITIES * Own the architecture and technical direction for agentic commerce in APAC, end to end — from early design through production and adoption. * Be the prime mover on large, ambiguous projects: break the problem down for parallel work, make fast product and architecture calls, and clear the blockers that would otherwise stall the team. * Operate with high autonomy across time zones. Make sound decisions independently, and know when and how to escalate. * Work directly with strategic users. Drive high-stakes conversations, understand what they need, and translate it into systems we can build. * Write crisp technical documents — proposals, design docs, decision records — that let people in other time zones align and act without a live meeting. * Represent Stripe in person with senior users and partners, explaining hard technical ideas clearly to technical and non-technical audiences alike. * Write and review code, and hold the quality bar. You own what you ship regardless of how it was produced, and you hold AI-assisted and hand-written code to the same standard. * Use AI tools as part of how you work day to day, and turn that leverage into reusable tooling and workflows that speed up everyone around you. * Partner with Engineering Management, Product, and go-to-market teams across regions on long-term vision and roadmap. * Teach and mentor engineers as the APAC team grows. WHO YOU ARE We're looking for someone with the experience and skills below. If you meet the minimum requirements, we'd love to hear from you — the preferred qualifications are a bonus, not a requirement. MINIMUM REQUIREMENTS * 10+ years of software engineering experience, still hands-on with architecture and code. * Track record as the technical lead on a complex, external-facing product or platform. * Deep software architecture experience, and sound judgment about tradeoffs under ambiguity. * Proven ability to work independently and drive projects to completion with little oversight — ideally across time zones or distributed teams. * Superb written communication. You write documents clear enough that decisions get made async, without you present. * Strong in-person and verbal communication, including in high-stakes conversations with senior, strategic users. * Comfort working directly with users: listening, earning trust, and turning their needs into technical direction. * Usage of AI tools as a standard part of daily delivery, holding their output to the same bar as your own, and getting more capable over time. * Ability to build alignment across teams and functions without direct authority. PREFERRED QUALIFICATIONS * Experience in payments, fintech, or commerce infrastructure. * Experience building for APAC markets, or fluency in the region's commerce landscape and languages. * Experience with AI agents, LLM-driven products, or the protocols that let software transact autonomously. * A history of taking early-stage products from zero to adoption. * Experience as a founding or early engineer on a new team or product.

Databricks

FEQ327R143 The Sr. Program Manager will lead the Accenture Databricks Business Group (ADBG) and build the operating model that powers one of Databricks’ most strategic global partnerships. In this role, you will own the governance, portfolio management, and execution cadence for the ADBG, while also overseeing a focused strategic investment program that accelerates joint innovation with Accenture. As the Sr. Program Manager of ADBG, your primary mission is to design, launch, and scale the global operating framework that ensures Databricks and Accenture execute consistently, predictably, and with clear accountability across all joint initiatives. As a key extension of this mission, you will also define and manage a targeted partner innovation investment program that is fully integrated into the governance, ensuring that all investments are strategically aligned, operationally sound, and measurable for impact. The impact you will have:  * Establish, operationalize, and programmatize the Accenture BG, including governance structures, operating cadence, and delivery standards for all joint Databricks–Accenture initiatives. * Maintain an end-to-end, integrated portfolio view covering pipeline, active programs, dependencies, financial performance, delivery health, and risks. * Lead executive and operational cadences (QBRs, steering committees, exec reviews) to drive decisions, resolve escalations, and ensure alignment across Databricks and Accenture stakeholders. * Develop and maintain KPI dashboards and reporting that provide clear visibility into revenue, utilization, program status, delivery quality, and customer outcomes. * Define and roll out standardized tools, templates, and best practices for planning, tracking, governance, and reporting, enabling consistent, scalable execution across regions and industries. * Work cross-functionally (C&SI, ISV Ecosystem, GTM Strategy & Ops, Business Strategy & Ops, Industry, Legal, Finance, Product) to define a clear strategic investment framework that dovetails with PMO governance, including pillars, guardrails, and decision criteria. * Ensure that all investments are: * * Aligned with Databricks’ evolving strategic goals and the broader Accenture BG portfolio. * Structured with clear milestones, owners, and success metrics that plug into PMO tracking and reporting. * Operationalized through existing PMO processes so execution, risk, and outcomes are managed consistently. * Fully auditable, with documented decisions and consolidated reporting via PMO dashboards. * Partner with Accenture leadership and field teams to source, qualify, and shape investment opportunities, using standardized proposal formats that enable apples-to-apples evaluation by Databricks leadership. What we look for: We look for an experienced program management leader who is also a strategic builder: someone who anchors on operational excellence but is energized by shaping new, high-impact investment mechanisms within that structure. You are comfortable leading through influence across Databricks and Accenture, and you are motivated by building a foundational, scalable operating engine for one of Databricks’ most important partnerships. * Strong PMO and portfolio management leadership skills, with a track record of establishing governance and operating models in complex, multi-stakeholder environments. * Highly effective at building and leading cross-functional virtual teams across GTM, Finance, Product, Legal, and Partner organizations. * Exceptional ability to design and orchestrate processes, drive consensus across organizations, and resolve impasses while keeping execution on track. * Skilled negotiator with experience structuring and closing binding partner agreements that align strategic goals, risk, and return. * Strategic, analytical mindset with a strong bias for action; able to move quickly while maintaining rigor, transparency, and auditability. * 15+ years of experience in program/portfolio management, partner operations, or strategic investments in hyper-growth or large-scale technology environments. * Demonstrated success standing up and leading PMO or portfolio functions for complex, global, multi-stakeholder initiatives. * Proven track record forming and leading cross-functional v-teams (GTM, Finance, Product, ISV/partner, Legal, Operations). * Experience negotiating and closing binding contracts with partners, including GSIs, RSIs, and ISVs. * Strong technical understanding of the Databricks product portfolio and modern cloud/data architectures.   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 $181,100—$249,050 USD Zone 2 Pay Range $163,000—$224,200 USD Zone 3 Pay Range $153,900—$211,650 USD Zone 4 Pay Range $144,900—$199,200 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.

Databricks

GAQ426R79 About the Team The mission of Databricks Legal is to apply legal resources and expertise to help Databricks achieve its growth and strategic objectives, while thoughtfully protecting Databricks with a reasonable balance of risk versus opportunity. What we look for Databricks is looking for an experienced Program Analyst, Legal Ops (Commercial) to support the Databricks Commercial Legal team’s AI and scaling initiatives, including working with the Commercial Legal Center of Excellence (CoE). The dedicated Program Analyst will work to align, program manage, and track the multiple high-priority initiatives. This role is essential to enable the Commercial Legal team to effectively achieve Databricks' long-term corporate goals.  The impact you will have * Driving Project Alignment and Execution: The Program Analyst will serve as the dedicated resource to help plan, administer, and track upcoming projects and initiatives; gather and organize information to inform leadership decisions on cross-functional projects; and help coordinate complex post-M&A integration tasks as needed and the implementation of post-signature strategic partnerships, alliances.  * Improving Cross-Functional Interlock: The role will provide a dedicated point of contact, enabling tighter and more efficient interlock with strategic alliances, partnerships, product legal, commercialization, and finance. * Lead the end-to-end implementation of AI tools to automate routine tasks and enhance productivity. How you will work: * You will demonstrate excellent project management, and an ability to coordinate efforts across multiple stakeholders, teams, and regions. * You are expected to manage multiple assignments simultaneously while maintaining a high standard of quality and meeting tight deadlines. * You routinely identify and recommend opportunities to change and improve ways of working. * You are a bar raiser, constantly looking to improve standards within the team and to streamline  process and quality across different regions. What we look for * Outstanding interpersonal and communication skills * Three or more years of experience working as paralegal, program manager, contracts specialist or contracts admin.  * Experience with leveraging AI or machine learning in a legal setting * Experience with pre-sales, sales operations, and/or deal desk; experience within a commercial team is a plus. * Bachelor's degree or equivalent. * Strong understanding of the tools used by in-house commercial legal teams to facilitate the contracting process for revenue, including tools used for contract generation and routing (e.g., SFDC, CPQ, and CLM), and signatures (e.g., DocuSign). * Strong project management skills. * Excellent written and verbal communication. * Ability to work effectively with cross-functional teams across diverse cultures. * Strategic thinking and problem-solving abilities. * Familiarity with relevant industry regulations and compliance requirements. * Proficiency with proposal management software.   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 $92,200—$126,700 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 $87,000—$119,700 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.

Databricks

Req: CSQ427R98 Location: Tokyo, Japan The Engagement Manager assures customer success by driving customer satisfaction throughout the customer success & services life-cycle for our customers, from orchestrating the engagement to successful delivery and beyond. As an Engagement Manager, you will ensure that our customers are making the most value of our products and services by positioning, preparing, managing the delivery and follow-up of our professional services and training engagements. This role is a strategic and cross-functional position that will partner closely with Sales, Field Engineering, Support and Product Teams on campaigns, programs, and content. You will report to the Director, Professional Services. The impact you will have: * Demonstrate a passion for the job and lead by example by putting Databricks and our customers first to achieve the sales and delivery mission * Collaborate with the sales counterpart and engage early in the sales process to seek to understand our customers' needs, their business, how success is defined, and ensure that we are exceeding expectations in delivery and developing valued solutions * Identify opportunities for new services by understanding and addressing potential new use cases and the ability to articulate the business value in the upsell, or extension of services * Performs as the Engagement Manager in the assigned area with full accountability for meeting/exceeding Professional Services and Training bookings and revenue targets * Ability to articulate relevant customer success stories, services offerings, and metrics that demonstrate value to the customer * Consult with clients to understand and analyze engagement scope, requirements, time, cost and benefits. Responsible for estimating, scoping and developing the statement of work documents as necessary * Drive resolution of delivery challenges, address resource contentions, scoping issues and manage expectations What we look for: * Strong fundamental knowledge around end-to-end data systems Implementation from both the technology, operations, and security/governance lenses. Production-level implementation experience as an engineer or as a project manager is preferred * Proven experience in the following * Selling services offerings at either implementation, advisory, education, and change management capacity.  * Senior customer-facing roles that require a mix of influencing, validating, negotiating, understanding and execution to both business and technology audiences * Consistent track record of identifying customer needs and successfully implementing solutions * Owning projects/programs in agile scrum/kanban delivery methodology as well as waterfall methodology * Strong problem solving skill about customer’s pain points by using modern technologies, particularly AI agents * Excellence in presentation skills, providing proposals that enforce good project governance and drive scalable delivery practices to both internal and external executives * High-level orchestration skills to align both internal and external stakeholders when proposing large initiatives * Strong service delivery and program management skills with the ability to synthesize customer success outcomes into well-structured program plans that deliver against such outcomes * Prior experience in project/program proposal to customers at Consulting, SI, Software/Cloud Vendor is highly preferred * Bachelor's degree in Computer Science or related educational background * Excellent verbal and written communication skills in Japanese * Excellent written communication skills in 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.

Databricks

CSQ327R216 As a Sr. Field Technical Program Manager (TPM) role in our Forward Deployed Engineering team, you will play a pivotal role in delivering complex technical projects that drive customer success and our business growth. Forward Deployed Engineering is part of the Field Engineering (FE) organization, the technical arm of Databricks’ customer-facing teams.  The TPM position understands our customers’ business goals and can steer technical projects from beginning to end with exceptional outcomes. You will start on projects after a statement of work is agreed (i.e. post-sales) and will leverage your technical expertise and project management skills to navigate customer challenges and deliver with excellence at every stage.This role serves as the essential link between the Field Engineering teams and internal groups, including Sales, Product, and Engineering. KEY RESPONSIBILITIES * Customer Outcomes: Own delivering customer outcomes for approximately five concurrent customer projects, ensuring high customer satisfaction * Project Planning: Develop detailed technical project plans from finalized proposals or statements of work setting specific milestones, objectives, and key results. * Project Execution & Risk Management: Drive measurable weekly progress with detailed tracking and by mitigating risks to project objectives, ensuring projects stay on track. * Stakeholder Management: Facilitate effective meetings across technical and non-technical stakeholders, from engineering standups to executive steering committees. * Leadership: Adapt to changing project requirements and priorities, proactively steering projects around challenges and collaborating across Professional Services, Engineering, and Sales teams. * Technical Knowledge: Leverage and expand your understanding of data platform technologies and processes, such as data lakes, data governance, data quality, ETLs, and migration best practices, to drive customer outcomes faster. * Process Improvement: Define and implement new processes and operational cadences to improve the efficiency and effectiveness of the Professional Services team. MINIMUM QUALIFICATIONS * Experience: 5+ years of experience in Technical Program Management, preferably in a B2B SaaS, cloud, or data engineering/analytics company. * Technical Background: A Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. Must be comfortable diving deep into technical topics with Solution Architects and Engineers. * Program Management Skills: Proven ability to manage complex, cross-functional technical programs and deliver results in a fast-paced environment. Strong understanding of Agile and other program management methodologies. * Communication: Exceptional verbal and written communication skills, with the ability to articulate complex technical concepts to diverse audiences (from engineers to executives) and build consensus. * Domain Knowledge: Foundational knowledge of the data and AI landscape (e.g., data warehousing, data lakes, ETL, streaming, data science, machine learning). PREFERRED QUALIFICATIONS * Certifications: PMP, CSM, or related program management certification. * Databricks/Spark: Hands-on experience with the Data Intelligence Platforms or Data frameworks like Apache Spark™. * Cloud Platforms: Experience with public cloud provider solutions (AWS, Azure, or GCP). * Customer-Facing Experience: Prior experience in a customer-facing implementation role (e.g., Technical Project Manager, Solutions Architect, Technical Account Manager, Professional Services, Product Manager). * GenAI/ML Experience: Experience delivering programs related to AI, Machine Learning, or Generative AI.   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 $156,000—$214,500 USD Zone 2 Pay Range $140,400—$193,050 USD Zone 3 Pay Range $132,600—$182,400 USD Zone 4 Pay Range $124,800—$171,600 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.

Databricks

REQ ID - CSQ427R11 Location: Vancouver, BC At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization.  The impact you will have: * Engage with Solutions Architects to understand the full use case demand plan for prioritised customers * Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts * Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks * Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations * Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise * Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals * Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs * Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams: * Main use cases moving from ‘win’ to production * Enablement / user growth plan * Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision) * Organic needs for current investment (e.g. cloud cost control, tuning & optimization) * Executive and operational governance * Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM What we look for: * 5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers * Programming experience in Python, SQL or Scala  * Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role * Understanding of solution architecture related distributed data systems * Understanding of how to attribute business value and outcomes to specific project deliverables * Technical program, or project management including account, stakeholder and resource management accountability * Experience resolving complex and important escalation with senior customer executives * Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects * Track record of overachievement against quota, Goals or similar objective targets * Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience * Can travel up to 30% when needed   Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range 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 anticpates 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.    Canada Pay Range $175,800—$241,800 CAD 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.

Databricks

Req ID: CSQ327R31 Location: Tokyo, Japan At Databricks we are on a mission to empower our customers to solve the world's toughest data problems by utilising the Intelligence platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. As a DSA, you will help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on invesment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a Field Engineering Director in Japan The impact you will have: * You will engage with the Solutions Architect to understand the full Use Case Demand Plan for prioritised customers. * Lead the Post-Technical Win technical account strategy and execution plan for the majority of Databricks Use Cases within our most strategic accounts. * Be the accountable technical leader assigned to specific Use Cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks.  * You will be the first contact for any technical issues or questions related to production/go live status of agreed upon Use Cases within an account, oftentimes services multiple use cases within the largest and most complex organizations.  * Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise.  * Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services resources on the delivery of PS Engagement proposals. * Navigate Databricks Product and Engineering teams for New Product Innovations, Private Previews and Upgrade needs.  * Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams: * Main use cases moving from ‘win’ to production * Enablement / user growth plan * Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision) * Organic needs for current investment Eg. Cloud Cost control, Tuning & Optimization * Executive and operational governance * Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM. What we look for: * 8+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with our customers. * Programming experience in Python, SQL or Scala  * Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role * Understanding of solution architecture related distributed data systems * A understanding of how to attribute business value and outcomes to specific project deliverables * Technical program, or project management including account, stakeholder and resource management accountability * Experience resolving complex and important escalation with senior customer executives * Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects * Track record of overachievement against quota, Goals or similar objective targets * Full professional proficiency in Japanese is mandatory; business-level English proficiency is preferred. 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.

Databricks

CSQ427R20 At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization.  The impact you will have: * Engage with Solutions Architects to understand the full use case demand plan for prioritised customers * Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts * Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks * Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations * Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise * Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals * Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs * Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams: * Main use cases moving from ‘win’ to production * Enablement / user growth plan * Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision) * Organic needs for current investment (e.g. cloud cost control, tuning & optimization) * Executive and operational governance * Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM What we look for: * 5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers * Programming experience in Python, SQL or Scala  * Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role * Understanding of solution architecture related distributed data systems * Understanding of how to attribute business value and outcomes to specific project deliverables * Technical program, or project management including account, stakeholder and resource management accountability * Experience resolving complex and important escalation with senior customer executives * Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects * Track record of overachievement against quota, Goals or similar objective targets * Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience * Can travel up to 30% when needed 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.

Databricks

CSQ327R30 At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization.  The impact you will have: * Engage with Solutions Architects to understand the full use case demand plan for prioritised customers * Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts * Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks * Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations * Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise * Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals * Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs * Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams: * Main use cases moving from ‘win’ to production * Enablement / user growth plan * Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision) * Organic needs for current investment (e.g. cloud cost control, tuning & optimization) * Executive and operational governance * Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM What we look for: * 5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers * Programming experience in Python, SQL or Scala  * Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role * Understanding of solution architecture related distributed data systems * Understanding of how to attribute business value and outcomes to specific project deliverables * Technical program, or project management including account, stakeholder and resource management accountability * Experience resolving complex and important escalation with senior customer executives * Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects * Track record of overachievement against quota, Goals or similar objective targets * Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience * Can travel up to 30% when needed 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.

Databricks

CSQ427R31 At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization.  The impact you will have: * Engage with Solutions Architects to understand the full use case demand plan for prioritised customers * Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts * Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks * Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations * Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise * Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals * Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs * Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams: * Main use cases moving from ‘win’ to production * Enablement / user growth plan * Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision) * Organic needs for current investment (e.g. cloud cost control, tuning & optimization) * Executive and operational governance * Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM What we look for: * 5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers * Programming experience in Python or Spark * Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role * Understanding of solution architecture related distributed data systems * Understanding of how to attribute business value and outcomes to specific project deliverables * Technical program, or project management including account, stakeholder and resource management accountability * Experience resolving complex and important escalation with senior customer executives * Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects * Track record of overachievement against quota, Goals or similar objective targets * Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience * Can travel up to 30% when needed 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.

Databricks

CSQ427R103 At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability for our most complex customers who need guidance to accelerate usage of Databricks workloads they have already selected, helping them maximize the value they get from our platform and their return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with the expectation that you will become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate effectively with an organization at all levels. You will report directly to a DSA Manager within the Field Engineering organization.  The impact you will have: * Engage with Solutions Architects to understand the full use case demand plan for prioritized customers * Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts * Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live, and healthy consumption of the workloads where the customer has made the decision to consume Databricks * Be the first contact for any technical issues or questions related to the production/go-live status of agreed-upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations * Leverage both Shared Services, User Education, Onboarding/Technical Services, and Support resources, along with escalating to expert-level technical experts, to build the right tasks that are beyond your scope of activities or expertise * Create, own, and execute a point of view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals * Navigate Databricks Product and Engineering teams for new product Innovations, private previews, and upgrade needs * Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the following work streams: * Main use cases moving from ‘win’ to production * Enablement/user growth plan * Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision) * Organic needs for current investment (e.g. cloud cost control, tuning & optimization) * Executive and operational governance * Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM What we look for: * 5+ years of experience where you have been accountable for technical project/program delivery within the domain of Data and AI, and where you can contribute to technical debate and design choices with customers * Programming experience in Python, SQL, or Scala  * Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role * Understanding of solution architecture related to distributed data systems * Understanding of how to attribute business value and outcomes to specific project deliverables * Technical program, or project management, including account, stakeholder, and resource management accountability * Experience in resolving complex and important escalations with senior customer executives * Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis, and managing the delivery of complex programs/projects * Track record of overachievement against quota, goals, or similar objective targets * Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience * Ability to travel up to 30% when needed   Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected 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 $180,000—$247,500 USD Zone 2 Pay Range $180,000—$247,500 USD Zone 3 Pay Range $180,000—$247,500 USD Zone 4 Pay Range $180,000—$247,500 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Roblox

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. We are seeking a highly skilled and experienced Engineering Manager to join our Engine UI team. In this role, you will be responsible for leading the development of our state-of-the-art game engine, building out User Interface capabilities across all of Roblox.  No matter the platform, be it mobile, desktop or consoles, you will help enable our game developers to unlock, accelerate, and promote the creation of high quality, performant UI that empowers meaningful interaction. You Will: * Lead the development on our C++ engine code that powers the foundational UI features in the world’s most popular games, as well as the Roblox App and Roblox Studio * Take lead in authoring and reviewing API proposals to expose UI capability to Luau; our fast, Lua-derived scripting language that powers user-generated creation * Manage Senior Engineers and provide technical guidance  * Work closely with our game developer community to help achieve their creative vision * Have fun learning about what makes Roblox an amazing platform and place to work, while supplying to industry leading technologies YOU HAVE: * 8+ years of professional development experience and 5+ years of management experience * Fluent programming skills in C++ (Lua experience is a plus!) * Previous leadership experience or people management experience * Worked extensively in areas like Game Engines and UI * Designs solutions that can be intuitively understood by developers of varying fields, such as engineers, game designers, and UI designers * Systems level 3D math, pointers, templates, and raw blocks of memory are tools to write high-performance code, not your enemies * Experience with cross platform projects, including consoles or mobile devices is a plus * Detailed designs, rigorous in handling edge cases, and diligent in automated testing 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 $293,800—$343,340 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.

Roblox

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. As a Strategic Sourcing Manager you will lead the contract and pricing negotiations of software and tools. In addition, you will work with cross-functional teams to ramp efficiently. You will demonstrate domain expertise in software licensing modeling and contract negotiations.   You Will: * Assist and support stakeholders with the vendor review process for BATNA purposes and articulating business justification. * Demonstrate ability to analyze and interpret spend and cost data, including understanding of Total Cost of Ownership * Work collaboratively across Roblox and particularly within the Roblox Corp Eng organization. * Work closely with stakeholder teams to forecast the Technology needs for our rapidly growing company * Showcase your strong contracting experience and understanding of business risks and address them on legal documents with potential suppliers. * Work with our Legal team to manage the review and approval of Master Service Agreements, Terms of Service, NDAs, and End User License Agreements with our vendors prior to business being initiated. * Drive price and term negotiation processes to ensure that Roblox’s pricing is best in class and with risks mitigated on contract * Drive continual cost reduction and avoidance initiatives through ad hoc price negotiations * Centralize planning and purchasing for CorpEng‑related end‑user hardware (laptops/desktops/peripherals), QA and test devices, event hardware, and device‑lab equipment, * Participate in essential activities including assisting in annual budgetary validations and trending of actuals.  * Monitor software maintenance renewal requirements while coordinating with software owners on operational requirements * Interpret software license agreements and identify rules, obligations, and product metrics to ensure compliance with all software licenses agreements and software usages  * Lead and manage RFx (e.g. Request for Proposal, Request for Information, Request for Quote) process, including project management, development of RFx, negotiations and award process. * Identify data inaccuracies preventing smooth workflow and implement scalable solutions * Build documentation and quick reference guides around Sourcing and Procurement, Contract Negotiation, OpEx > CapEx You Have: * A Bachelor's Degree or equivalent job experience * A minimum of 6 years of Strategic Sourcing & Negotiation related experience. * Conceptual knowledge of software licensing models * Software and Tools and Corporate Hardware (laptops, peripherals, etc)  procurement experience * Experience working with Saas, On-Prem Software, and major OEM vendors (Microsoft, Apple, Dell) * Advanced knowledge of Excel, Google sheets or other data analysis tools used to coordinate and combine large data sets into actionable results * Strong written and verbal communication skills * Extensive negotiation experience. 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 $159,850—$193,930 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.

Databricks

FEQ327R184 At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization.  The impact you will have: * Engage with Solutions Architects to understand the full use case demand plan for prioritised customers * Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts * Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks * Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations * Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise * Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals * Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs * Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams: * Main use cases moving from ‘win’ to production * Enablement / user growth plan * Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision) * Organic needs for current investment (e.g. cloud cost control, tuning & optimization) * Executive and operational governance * Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM What we look for: * 5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers * Programming experience in Python, Spark, Databricks or similar Data Platform  * Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role * Understanding of solution architecture related distributed data systems * Understanding of how to attribute business value and outcomes to specific project deliverables * Technical program, or project management including account, stakeholder and resource management accountability * Experience resolving complex and important escalation with senior customer executives * Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects * Track record of overachievement against quota, Goals or similar objective targets * Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience * Can travel up to 30% when needed 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.

Databricks

FEQ227R319 At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization.  The impact you will have: * Engage with Solutions Architects to understand the full use case demand plan for prioritised customers * Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts * Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks * Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations * Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise * Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals * Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs * Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams: * Main use cases moving from ‘win’ to production * Enablement / user growth plan * Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision) * Organic needs for current investment (e.g. cloud cost control, tuning & optimization) * Executive and operational governance * Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM What we look for: * 5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers * Programming experience in Python, SQL or Scala  * Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role * Understanding of solution architecture related distributed data systems * Understanding of how to attribute business value and outcomes to specific project deliverables * Technical program, or project management including account, stakeholder and resource management accountability * Experience resolving complex and important escalation with senior customer executives * Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects * Track record of overachievement against quota, Goals or similar objective targets * Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience * Can travel up to 30% when needed   Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.   Zone 2 Pay Range $180,000—$247,500 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.