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GAQ327R163 OVERVIEW: Databricks is seeking a Senior Manager, Finance Commercialization, PMO, and Operations. You will be responsible for driving organization, transformation, innovation and operational efficiency at scale, as well as managing key programs across global Finance teams within the Controllership organization and with our cross-functional stakeholders. You will interface with leadership to ensure transparency and visibility into our programs and projects. You will partner with teams across the Controllership, including Order to Revenue (Revenue Operations, Billing, Revenue Accounting, Revenue Assurance), Accounting, Payroll, Tax, Treasury, and Commissions, and collaborate with cross-functional teams such as IT, Engineering, Go-to-Market, FP&A, Pricing, Sales Operations, and our Internal Audit team. You will own planning processes, project intake and prioritization and drive key trade-off decisions on behalf of the Controllership. Your passion should be planning, leading, and executing global, cross-functional, enterprise-wide projects that impact the Finance organization. The ability to plan and execute effectively while collaborating across teams and locations will be key to success in this role. In this role, you will remove friction for the Finance team by developing organization-wide standards, leading programs, including communications, reporting, and metrics, optimizing processes, and driving technology improvements. THE IMPACT YOU WILL HAVE: * Project and Program Management: * Streamline and own planning, intake, and prioritization processes across the Controllership, ensuring alignment with the Company and Finance team’s goals and strategy * Lead and manage multiple complex, cross-functional programs, including working with stakeholders from IT, Engineering, Sales, and other Finance teams * Provide leadership and expertise in planning, organizing, and executing high-impact projects that drive operational excellence and process standardization across the Finance team * Cross-Functional Collaboration: Drive cross-functional collaboration across teams and locations to ensure the seamless execution of global initiatives * Work with our Engineering and IT teams to ensure timelines are met and risks are addressed * Accounting Process Optimization & Improvement: * Ensure efficiency in our Accounting processes and close procedures * Identify and implement automation opportunities across the Controllership to reduce manual work and streamline processes * Develop a Global Business Services strategy for global coverage and efficient growth * Communication, Reporting & Metrics: * Lead executive communications and reporting, ensuring transparency and alignment on project progress, risks, and outcomes * Run QBRs with leadership to ensure OKRs and metrics are on track to meet goals and established timelines WHAT WE LOOK FOR: * Bachelor’s degree in Business, Finance, Accounting, or related field * 8+ years of experience working in Accounting groups * 8+ years of experience leading cross-functional projects and programs with demonstrated success in process optimization and automation * Expertise in program management, executive communications, reporting, and metrics * Expertise in planning, OKRs, and QBRs * Experience in implementing and managing SOX controls on both the business process and IT sides * Experience in process improvement and optimization * Proficiency with JIRA, project management tools, and reporting systems * SaaS industry experience is a plus * CPA certification is a plus * SQL or Python experience is a plus * Expert-level presentation skills, including the ability to develop impactful presentations using Google Slides Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range $178,900—$245,950 USD Zone 2 Pay Range $161,000—$221,300 USD Zone 3 Pay Range $152,100—$209,100 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.
GAQ227R117 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. Databricks is looking for an outstanding Finance Manager to join our FP&A team in our mission to help data teams solve the world's toughest problems. In this role, you will serve as the strategic finance partner to our Product Support organization, driving financial rigor and operational insights across our support offerings. You will own the Support P&L, build capacity-planning frameworks, and partner cross-functionally to shape the financial strategy behind both new and existing support investments. As a finance professional who has experienced hyper-growth, you will solve hard problems independently, have deep experience in financial analysis and operational modeling, and have strong executive presence to communicate with senior leadership. There will be new problems to solve, from standing up KPIs for emerging support offerings to assessing the financial impact of commercialization decisions, and you will approach them with first principles thinking to come up with a solution. Build and maintain a workforce management capacity model in partnership with Product, Support, Data Science, and StratOps teams to ensure optimal resource planning and allocation across support functions Own and operate the Support P&L, driving visibility into cost structure, margin dynamics, and financial performance across all support offerings Design and implement new KPIs and reporting frameworks for both new and existing Support offerings, enabling data-driven decision-making and real-time visibility into operational and financial health Partner with Commercialization on impact analysis for new Support offerings, assessing financial viability, pricing implications, and expected return to guide go-to-market readiness Analytically solve problems by gathering and synthesizing large datasets to deliver clear, actionable recommendations to senior leadership; lead the end-to-end recommendation process Nurture deep, trusted partnerships with Product, Support, Data Science, StratOps, Accounting, IT, and their respective technical teams to align on strategic priorities and drive cross-functional outcomes Guide process improvement, standardization, and reporting enhancements across Support finance workflows, installing proper controls and simplifying processes to scale with the business Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range $169,100—$232,550 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
GAQ426R223 While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations. Databricks is looking for an outstanding Finance Manager to join our FP&A team in our mission to help data teams solve the world's toughest problems. In this role, you will have the opportunity to strategically assess consumption growth drivers and partner with our GTM team to drive impact. As a finance professional who has experienced hyper-growth, you will solve hard problems independently, have deep experience in financial analysis, and have strong executive presence to communicate with senior leadership. There will be new problems to solve, and you will approach them with first principles thinking to come up with a solution. The impact you will have: * Analytically solve problems with the ability to gather and summarize large amounts of data to lead efficient executive decision-making; Lead the end-to-end recommendation process * Nurture deep, trusted partnerships with Sales, Finance, Commercialization, Data Science, Accounting, IT, Business Operations, and their respective technical teams * Find creative solutions for data challenges and be able to communicate with easy-to-understand narratives and presentations * Build and maintain financial and operational models, helping us understand real-time forecasts for key financial metrics * Propose and implement solutions to drive key financial metrics in partnership with the GTM team * Guide process improvement, standardization, simplification, install proper controls, and reporting enhancements What we look for: * Bachelor's Degree in Business, Finance, IT, or equivalent quantitative field * 6+ years or equivalent tenure from related positions in FP&A, corporate finance, accounting, or data analytics teams * Business Partnership: Proven ability to drive strong cross-functional relationships (especially with GTM organizations) to achieve business outcomes * Financial Modeling: Be able to understand and update financial models that follow industry best practices. Can maintain complex spreadsheets. Expertise in Google Sheets is a plus. * Data Analysis: Experience in understanding business questions and making data-driven insights. Excellent analytical skills. * Communication: Ability to present financial data using detailed reports, charts, and narratives. * Experience with GAAP and non-GAAP financial metrics Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range $169,100—$232,550 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
GAQ127R55 Location: We're looking to hire for this role in our Singapore, SG office. This will be a hybrid role with in-office expectations. About the Role: Databricks is looking for an experienced commercial attorney to join our growing commercial legal team focused on supporting our Asia field teams and providing ad hoc support to GTM and bespoke new-market entry support in the region (as needed). You will be a key player in reviewing and negotiating customer agreements and providing legal support for Databricks' revenue-generating and commercialization activities across Asia. You will report to the Sr. Director & AGC, Commercial Legal. You have 6+ years of relevant commercial legal transactional experience with a focus on complex technology transactions within the Asia market. You possess meaningful experience negotiating SaaS commercial transactions and strong knowledge of legal issues related to data privacy, information security, artificial intelligence, and intellectual property. The Impact You Will Have: * Revenue Enabler: Become a vital member of the commercial legal team responsible for negotiating enterprise-level cloud service agreements. You will ensure that risk oversight is effectively integrated and balanced with Databricks’ ambitious business objectives, in further enabling continued rapid revenue growth in the region. * Strategic Partner: Cultivate strong relationships with the field sales team by providing sound, strategic counsel to close complex sales transactions. * Policy Architect: Help maintain and update our legal templates to ensure compliance with evolving provincial and federal laws while supporting global consistency. * Subject Matter Expert: Serve as a pragmatic business partner, providing legal counsel on Databricks’ technology, product portfolio, and security/compliance architecture, especially as they relate to local compliance standards. * Cross-Functional Collaborator: Partner and work closely with Finance, Information Security, and Product teams to align and enforce global contracting processes and policies within the context of local business norms. What We Look For: * Experience: Minimum of four (6) years of technology transactions experience, either at a top-tier law firm and/or in an in-house role at a high-growth SaaS company. * Asia Market Expertise: Demonstrated experience drafting and negotiating cloud software sell-side transactions successfully with enterprise companies across Asia, including a deep understanding of data privacy, public sector, and data sovereignty requirements across the region. * Enterprise Software Business Model: Relevant experience with cloud-based software, consumption, and commit-based business models, and the nuances of the quarterly/fiscal year sales cadence. * Negotiation Skills: Proven ability to successfully navigate, objection handle complex legal issues involving information security, AI, and intellectual property (including open-source software). * Agility: Ability to prioritize competing demands and remain responsive in a fast-paced, high-pressure environment. * Communication: Outstanding written and verbal communication skills; foreign language fluency is considered a significant plus. * Education & Qualifications: LL.B. or J.D. from a recognized law school, qualified to practice law in SG. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
GAQ426R237 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. OVERVIEW: Databricks is seeking a Director of Operations and Strategy of FP&A to fundamentally re-imagine and evolve how our global Financial Planning & Analysis (FP&A) organization operates. Reporting directly to the Head of Finance Data, AI, and Strategy, this leader will serve as a strategic right-hand to FP&A leadership and interface directly with the CFO, the Head of Sales, and other executive stakeholders. This is not a traditional operations role; we are looking for a high-caliber strategist with a fresh perspective who can design the future state of FP&A and personally drive the execution to get us there. You will lead massive, cross-functional programs that embed Data, AI, and modern ways of working into our core financial processes. Crucially, you will champion "Databricks on Databricks"—leveraging our own unified data intelligence platform to eliminate friction, automate workflows, and deliver predictive insights that accelerate our growth. If you possess a blend of elite strategic thinking (e.g., top-tier management consulting) and a proven track record of in-house corporate transformation, this role offers a massive platform for impact. THE IMPACT YOU WILL HAVE * Strategic Advisor & Design Partner: Serve as a key sounding board and right-hand to senior FP&A leadership to design organizational strategies, optimize corporate ways of working, and align financial planning with company-wide growth goals. * Transform FP&A with Databricks: Lead the charge in changing how FP&A operates by embedding the Databricks platform, AI, and machine learning into core finance workflows—moving the team from descriptive reporting to scalable automation and predictive analytics. * Drive High-Stakes, Cross-Functional Execution: Design and execute against complex, large-scale initiatives across Finance, IT, Engineering, Product, and Go-to-Market (GTM). * Executive Visibility & Communication: Own the narrative. Run FP&A leadership forums, orchestrate the OKR and Quarterly Business Review (QBR) processes, and deliver high-impact executive communications to the CFO, Head of Sales, and other top-level leaders. * Commercialization & Scale: Provide a strategic lens on commercialization and scale, ensuring financial processes seamlessly support evolving product strategies, pricing models, and GTM motions. WHAT WE LOOK FOR * Experience: 12+ years of progressive experience, ideally combining elite management consulting with in-house leadership roles within high-growth corporate FP&A or Business Operations functions. * Strategic FP&A Expertise: Deep, foundational knowledge of FP&A architecture, combined with a distinct bias toward strategy and business transformation rather than purely routine operations. * Transformation Catalyst: Proven success leading large-scale corporate transformations, re-architecting legacy workflows, and successfully managing the organizational change that comes with new technologies. * Data & AI Tech Fluency: Experience implementing or managing AI, machine learning, or advanced automation tools within a finance org. Familiarity with SQL, Python, or data analytics platforms is highly desirable; a passion for leveraging the Databricks platform to solve financial complexity is required. * Elite Executive Presence: Exceptional communication and presentation skills (expert-level Google Slides). Ability to command a room, influence senior executives, and distill complex financial transformations into clear, actionable strategies. * Industry Context: Experience in the SaaS or high-tech enterprise software landscape. Exposure to corporate commercialization, pricing strategies, or product-led growth metrics is a strong plus. * Education: Bachelor’s degree in Business, Finance, Economics, or a highly analytical field; MBA or advanced degree preferred. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range $221,800—$305,050 USD Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 2 Pay Range $199,700—$274,550 USD Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 3 Pay Range $188,600—$259,250 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
CSQ126R20 ROLE SUMMARY The Global Learning Operations & Transformation Manager is an enterprise operations leader responsible for modernizing and scaling the operating foundation that powers ENGAGE (Training Operations) globally. This role will establish and lead a Global Center of Excellence (CoE), driving AI-enabled operational transformation across Learning & Enablement (L&E) through scalable workflows, governance, automation, analytics, and operational discipline. The role is focused on improving how global systems, teams, and processes work together enabling ENGAGE to operate with greater predictability, visibility, efficiency, and commercial alignment across regions and programs. WHY THIS ROLE MATTERS This is a transformation year for Learning & Enablement. As learner demand, partners, SKUs, and regional complexity continue to scale, traditional operating models are no longer sufficient. Success now requires scalable operating mechanisms, AI-enabled workflows, stronger governance, and clearer operational accountability across regions and programs. This role will help ENGAGE scale sustainably by: * Improving operational efficiency and consistency * Reducing manual dependency and operational friction * Increasing visibility into demand, risk, and capacity * Translating operational improvements into measurable business impact The role will help shape how Learning & Enablement operates in an increasingly AI-enabled environment. KEY RESPONSIBILITIES GLOBAL OPERATING MODEL & COE LEADERSHIP * Establish and lead the Global Center of Excellence (CoE) for ENGAGE operations, governance, tooling, and analytics. * Design and operationalize a scalable hub-and-spoke operating model balancing global consistency with strong regional execution. * Standardize planning cadences, operational playbooks, decision rights, and execution frameworks. * Embed accountability, operational rigor, and measurable outcomes into global reviews and operating rhythms. AI-ENABLED OPERATIONS & WORKFLOW TRANSFORMATION * Lead the evolution of ENGAGE’s AI-enabled operational workflows, automation strategy, and operational telemetry. * Operationalize real-time KPIs, dashboards, and exception monitoring to improve visibility into demand, risk, and operational health. * Drive automation and intelligent workflow design across scheduling, forecasting, certification, onboarding, and partner operations. * Establish governance principles for AI-enabled workflows, ensuring reliability, transparency, scalability, and measurable business value. COMMERCIAL OPERATIONS & REVENUE ALIGNMENT * Partner with Finance, Revenue Operations, and Commercialization teams to improve forecasting rigor, operational controls, utilization visibility, and scalable revenue-supporting processes globally. * Translate operational improvements into measurable business outcomes, including capacity unlock, reduced partner spend, improved utilization, and operational efficiency gains. * Support executive-grade reporting, operational visibility, and scalable governance mechanisms. * Embed operational controls aligned with long-term scalability and audit readiness. ENTERPRISE GOVERNANCE & RISK MANAGEMENT * Build globally consistent operational governance across planning, reporting, exception handling, workflow controls, and operational oversight. * Establish clear ownership models, escalation paths, and decision rights to reduce ambiguity and execution friction. * Ensure operational resilience, compliance readiness, and structured risk mitigation across regions and programs. CHANGE LEADERSHIP & GLOBAL ALIGNMENT * Lead global adoption of standardized workflows, governance frameworks, and AI-enabled operating practices. * Drive consistent operational maturity and execution standards across regions. * Act as a strategic advisor to L&E and operational leadership on scalability, operational health, and organizational effectiveness. * Influence across distributed, matrixed teams to drive alignment, accountability, and operational consistency. WHAT SUCCESS LOOKS LIKE * A predictable, scalable global operating model with clear ownership and operational accountability, while also supporting regional nuances. * Improved visibility into global demand, capacity, operational health, and execution risk. * Reduced operational friction, cycle times, and manual intervention across core ENGAGE workflows. * Demonstrable business impact through improved efficiency, utilization, scalability, and operational consistency. * Increased adoption of standardized workflows, automation, and AI-enabled tooling across regions. * A stronger governance and operational foundation supporting long-term L&E scale. REQUIRED QUALIFICATIONS * 10+ years of experience in GTM Operations, Revenue Operations, Enablement Operations, Program Leadership, or Operational Transformation within high-growth global technology companies. * Proven experience building and scaling enterprise operating models, governance frameworks, and cross-functional execution mechanisms. * Demonstrated success leading AI-enabled operational transformation initiatives, including automation, analytics, workflow modernization, and scalable process design. * Strong commercial and operational acumen, including forecasting, revenue operations, utilization economics, and business performance drivers. * Experience partnering closely with Finance, Legal, Strategy, Product, and Revenue leadership teams. * Exceptional analytical rigor, systems thinking, and executive-level communication skills. PREFERRED QUALIFICATIONS * Experience modernizing and scaling enablement operations through process, tooling, and operating model transformation. * Hands-on experience with analytics platforms, data workflows, or Databricks technologies. * Demonstrated success implementing AI and automation solutions within operational workflows at scale. * Exposure to audit processes, SOX readiness, or public-company operational and financial controls. * Experience operating in globally distributed, cross-functional environments with complex stakeholder alignment needs. WHY JOIN US You will help shape the operating foundation that enables ENGAGE and Learning & Enablement to scale with greater speed, consistency, and operational discipline in an AI-enabled environment. This is a high-visibility role with broad cross-functional influence, focused on improving how systems, workflows, governance, and automation come together to support customer and business outcomes globally. If you are energized by simplifying complexity, building scalable operating mechanisms, and driving meaningful operational transformation, this role offers the opportunity to create lasting impact across the organization. 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 $148,600—$204,250 USD Zone 2 Pay Range $133,700—$183,800 USD Zone 3 Pay Range $126,200—$173,600 USD Zone 4 Pay Range $118,900—$163,450 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.
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.
GAQ427R191 Databricks is seeking a Senior Product Counsel to help the Databricks legal team provide cutting-edge, practical legal advice to Databricks’ engineering and product management teams as we navigate rapidly evolving global laws and regulations in big data, including data privacy, data protection, and AI. This role will report to the Assistant General Counsel, Product. The impact you will have: * Demonstrate expertise in product counseling, data protection laws, marketing, and technology transactions, as well as the capacity to be a generalist and learn new areas of law and legal skills quickly. * Exercise keen business and legal judgment. You know when to say “yes”, “no, unless …”, and “no”, but you also know when to escalate concerns. * Contribute to developing processes to improve our product counseling function. * Provide end-to-end product counseling - from ideation to end of life. * Partner with teams across Databricks and close external partners that are building, deploying, and operating technology for external and internal users. * Work cross-functionally with the commercialization, product marketing, marketing, and communications teams to bring our transformative offerings to market. * Collaborate with other legal leaders in commercial, go-to-market, compliance, corporate, and public affairs with respect to product issues. * Deeply understand product and data risk issues to be able to hear and answer questions that aren’t asked and translate technical and security concerns into answers understandable to non-technical lawyers. * Assist your product stakeholders in developing process improvements. * Draft and update form agreements regarding products and services, and negotiate product and security-related changes to customer contracts, including those in DPAs and BAAs. * Provide general legal support on a flexible, as-needed basis with respect to other areas of the business. * Work with potential vendors to understand data flows to determine privacy and data protection risk, and coordinate with the privacy legal team as appropriate. * Advise on cybersecurity issues as a member of incident response teams. * Contribute as a team player to further the legal department's reputation as an effective, respected, and valued resource within the company. What we look for: * 6+ years of relevant legal experience at a top law firm and/or in-house (a combination of both is a plus), with a minimum of 2 years focused experience in product, privacy, and/or IP law * Experience with AI, FedRAMP requirements, or payments a plus * Experience working for a company offering platform services to business customers is a plus * Deep understanding of cloud and software technology, and a strong desire to work on legal issues in these areas * Technical background -- either an engineering or hard science academic background, demonstrated ability to acquire deep product understanding, or significant life experience as a general technology nerd * State bar membership required * Ability to prioritize and manage time, and client expectations, in the face of competing demands, often without direct guidance as we scale our rapidly expanding business * Comfortable working with distributed teams * Ability to exercise good judgment in raising issues and when collaborating with others * Outstanding written and verbal communication skills 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 $219,800—$302,300 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.
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 Stripe’s Product Legal team is responsible for managing the legal and regulatory elements of the design, build and execution of our products and services. We work on some of the hardest technical, commercial, and regulatory problems around. In this role you will be a key advisor to Stripe’s product, engineering and partnerships teams, and will work on a diverse set of matters that straddle financial services, business, and technology. WHAT YOU’LL DO The ideal candidate is passionate about Stripe’s mission of helping businesses grow and thrives in solving complex legal, technology and business issues in collaboration with others. We’re looking for someone who is a team player and willing to jump in on tasks of any size. Experience in financial services, and in particular, with cryptocurrency and stablecoin products, will help you be successful in this role. RESPONSIBILITIES * Be part of a growing team of Product Counsel who are responsible for helping Stripe deliver products that are compliant with laws and contractual commitments to our users across the globe. The focus of this role will be on the development and commercialization of cryptocurrency and stablecoin products, particularly as part of our Bridge line of business. * Help Stripe product teams navigate the cutting edge intersection of technological innovation, e-commerce user experiences, and financial services compliance on a range of issues. * Actively collaborate with a wide variety of Stripe teams, including product, engineering, partnerships, compliance, risk and marketing, on a range of issues related to product development and commercialization, including advising on new and emerging legal and regulatory developments impacting products, including identifying trends and potential impacts on business activities and adapting existing laws to new technologies. * Work closely with colleagues across Stripe’s global legal team to support Stripe's regulatory structure, its customer agreements, and strategic financial partnerships. * Help scope and build scalable and effective processes for legal review and launch of new products. * Stay up-to-date, with the support of Stripe’s legal subject matter experts, on US and international laws and regulations pertaining to cryptocurrency, stablecoin, and traditional financial services products. * Participate as a proactive and strategic business partner to senior managers and be a trusted advisor. WHO YOU ARE We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. MINIMUM REQUIREMENTS * 7+ years of experience as a qualified lawyer in a top law firm, in-house legal team and/or government agency, with expertise in cryptocurrency and stablecoin product development, and related laws and regulations such as the GENIUS Act. * Someone who is familiar with counseling teams that solve issues through technology by translating complex legal requirements into clear and actionable advice that helps the business move forward. * Someone who works collaboratively with teammates and is always looking for opportunities to share knowledge and experience. * A qualified US lawyer. * A passion for technology and ability to understand complex business models and product use cases quickly. * An entrepreneurial spirit -- a self-starter who thrives in a fast paced environment, deals well with ambiguity and focuses on driving impact. * Excellent judgment and capable of making smart decisions with imperfect information. * Strong communication skills (both written and verbal). * Excellent project management skills and ability to work under tight deadlines.
About the Company At Avaron, you get the security of permanent employment combined with the variety of working at different customers. We place specialists across everything from tech, IT and industry to project management and business support – and whatever the assignment, you have a consultant manager who is there for you and your development. About the Role You will take a key role in shaping and scaling service contracts and connectivity-based services in a global marine and industrial environment. The assignment combines strategic service development with hands-on execution, with most of the focus on building a scalable and market-adapted service contract concept. You will work across business, service, and digital capabilities to strengthen the aftermarket offering, improve uptime, and create new customer value through connected services. This is a role for you if you enjoy moving from analysis to action, turning complex business needs into concrete offerings, processes, and go-to-market plans. What makes the role especially interesting is the opportunity to influence both commercial strategy and operational rollout in a business where digital services are becoming increasingly important. Job DescriptionYou will lead a pre-study for service contracts and create a clear decision basis for future direction. You will define service contract offerings, with focus on dealer-owned service contracts and segmented offers based on customer needs. You will develop business plans, business cases, revenue models, profitability analyses, and growth assumptions. You will evaluate alternative setups, risks, dependencies, and the impact on systems, data structures, and operational processes. You will define an MVP with focus on rapid time-to-market and stronger support for dealers. You will establish and improve operational processes for monitoring connected vessels across central teams and local market units. You will gather feedback from monitoring teams, identify improvement opportunities, and help transfer needs into development. You will support commercialization of connectivity services through go-to-market planning, launch preparation, and sales activation. You will develop sales and marketing material for pilots, scaling, and broader market launch. You will drive follow-up, define KPIs, establish feedback loops, and support continuous improvement. You will contribute to change management and stakeholder alignment across product, service, digital, and market functions. RequirementsStrong background in business development and strategy. Proven ability to develop business plans and business cases. Experience in process development, go-to-market, and commercialization. Understanding of digital services and data-driven offerings. 10 years or more relevant experience. Ability to work closely with multiple internal stakeholders and communicate effectively with leadership. Strong execution skills and the ability to turn strategy into tangible and implementable outcomes. Fluent English. Nice to haveExperience in aftermarket or service business. Experience from B2B and indirect sales models, such as dealer networks. Experience in change management. Comfort working iteratively with a test, learn, and adapt approach. Willingness to travel when needed. What We OfferPermanent employment at Avaron AB Occupational pension Wellness allowance of SEK 5,000 per year Application Selections are made on an ongoing basis – apply as soon as you can.
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. Payment Partnerships Manager Adyen is looking for a Payment Partnerships Manager who will advance Adyen’s strategy and agenda with key payment methods in EMEA including card networks, local and alternative payment methods, and financial institutions. In this role you will drive high-impact partnerships for Adyen and use your influence and tenacity to build strong commercial collaborations across the region. You’ll work closely with a broad range of cross-functional stakeholders building strategic and successful relationships. This is a full-time position based in our Amsterdam or London office reporting into our Head of Payment Partnerships for EMEA. What you’ll do * Manage strategic partnerships: Build and nurture relationships with leading payment methods at local and continental levels. Define and execute a proactive, multi-year strategy across a multitude of payment methods (card-based, bank-based, alternative) * Negotiate complex agreements and drive alignment with partners’ senior counterparts and internal stakeholders to ensure Adyen remains at the forefront of payments innovation * Deliver high-impact projects: Coordinate high-caliber, complex projects to improve financial and operational performance. Think strategically and implement effectively key initiatives at scale, solving key trade-offs and navigating between commercial opportunities and product challenges * Cross-Functional collaboration: Partner with product, commercial and finance teams to define and execute go-to-market strategies. Provide market insights to accelerate our product roadmap and commercialization efforts. Who you are * 5+ years relevant experience in payments strategic partnerships * Deep knowledge of the payments landscape, with critical thinking skills to understand and interpret emerging trends * Proven success in negotiating multi-year agreements and partnerships * A strategic mindset paired with the ability to make data-driven decisions and execute operationally * Exceptional communication and negotiation skills, with the ability to influence both internal and external stakeholders across different functions and organizational levels * Comfortable operating in a fast-paced, high-growth environment * Full professional proficiency (written and verbal) in English. 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. This role is based out of our Amsterdam or London office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. ABOUT SNOWFLAKE At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset, who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. ABOUT THE TEAM Strategic Finance is the commercial and analytical engine behind Snowflake's product and revenue decisions. The team operates at the intersection of product strategy, pricing, and investment prioritization. Business Operations is the connective tissue across the cross-functional work Strategic Finance drives: commercial launches, strategic pursuit deals, and the scaled go-to-market motions that take new business models from incubation to mainstream. We orchestrate the alignment, sequencing, and communication that no single team owns end-to-end, and we operate AI-native by default. ABOUT THE ROLE We are hiring a Business Operations Lead to be the AI-native operator and quarterback for Snowflake's most important commercial launches and strategic pursuit deals. You will run the operating cadence that takes a launch from intake through go-live and supports qualifying deals from intake through close, ensuring every cross-functional team has the awareness, context, and lead time they need to execute against their own playbook. You will not define readiness for any one team; each team owns their domain. You will be the connective tissue that holds the launch and deals coalitions together. AI is not a tool you reach for occasionally. It is your default operating mode. You ship agents, build automated workflows, and use AI to extract leverage on every recurring process you touch. You will partner closely with leaders across Product, Engineering, Pricing, Legal, Revenue Accounting, Deal Desk, Sales Compensation, Sales Operations, Billing, Reporting, and Enablement. You will support the Strategic Pursuits team on qualifying deals, coordinating deal readiness, bid management, and cross-functional sequencing, and help build the operating motion for scaling new business models from Strategic Pursuits through graduation to standard go-to-market. You will take communication and coordination load off the Strategic Finance leads so they stay focused on substance. You will translate cross-functional complexity into clear executive narratives and decision-ready status. Your output is measured in shipped tools, time saved for the team, and launches and deals that close clean. IN THIS ROLE YOU WILL * Operate AI-Native by Default. Ship agents, automated workflows, and AI-assisted tools as the primary execution mode for the work, not as an enhancement layer over manual processes. Within the first 90 days, deliver at least two production AI-assisted workflows that demonstrably reduce coordination time for the Strategic Finance team. * Quarterback Launch Readiness. Serve as the central coordinator for every qualifying commercial launch. Track each cross-functional team's progress against their own playbook, surface gaps, and ensure dependencies are visible to the right owners with enough lead time to resolve. Use AI-driven tracking and signaling to scale your visibility across the launch portfolio. * Run Cross-Functional Coordination. Coordinate execution across Pricing, Legal, Revenue Accounting, Deal Desk, Sales Compensation, Sales Operations, Systems, Billing, Reporting, Enablement, Product, Engineering, and go-to-market stakeholders. Run the standing launch forums, drive decisions to closure, and keep every team aligned on timing, scope, and dependencies. * Scale Strategic Deal Alerts and the AI-Native OS. Scale and improve Strategic Deal Alerts, building on the recently launched motion that surfaces competitive and emerging deals to the right Product and GTM owners along with the context, win-rate intelligence, and actions they need to engage at the right time. Build the AI-assisted workflows, signals, and tooling that scale cross-functional coordination across the team. Make AI-native operations the default mode for how Strategic Finance works across functions. * Operate the Coordination Playbook. Maintain and improve the program management operating system: intake form, RACI, status reporting cadence, escalation paths, and communication templates that make launches repeatable. Each cross-functional team owns their domain checklist; this role owns the connective tissue between them. * Cover Strategic Launch Categories. Coordinate launches across pricing and monetization, new market entry, strategic partnerships, new business models and commercial model shifts, M&A commercialization, and non-standard commercial motions. Distinct from standard product launches that the existing go-to-market motion handles. * Support Strategic Pursuits. Provide program management support to the Strategic Pursuits team on qualifying deals: deal readiness, bid management, and cross-functional sequencing across Pricing, Legal, Revenue Accounting, and go-to-market partners. Help build out the operating motion that scales new business models from Strategic Pursuits incubation through graduation to standard go-to-market. * Run the Launch Portfolio. Maintain the active launch portfolio. Run a monthly portfolio review and a quarterly retrospective that surfaces patterns, calibrates coordination practices, and feeds lessons back into the playbook. Default to AI-driven portfolio analytics over manual status decks. * Take Load Off the Finance Leads. Carry the communication, status reporting, and meeting overhead that would otherwise fall on the Strategic Finance leads. Translate substance from the leads into the artifacts cross-functional partners and executives need. Use AI to draft, summarize, and distribute so the leads see leverage from day one. * Surface Risk Early. Surface execution risks that could lead to post-launch billing errors, revenue recognition issues, or commercial side-letter discoveries. Escalate to the right cross-functional owner with enough lead time to resolve. Quality outcomes are a shared metric across the launch coalition. * Partner With Steering Committees. Provide the materials, status, and recommendations for Snowflake's GTM Systems and GTM Prioritization steering committees. Translate launch operations status into executive decisions. * Communicate Up and Out. Produce launch and deal status reports, executive updates, and steering committee materials that connect launch operations to commercial outcomes, key risks, and decisions in flight. Survive senior leadership review on first submission. WHAT YOU WILL NEED REQUIRED * Demonstrated AI-native operating fluency. You have shipped production AI-assisted workflows or agents at a prior role: prompts, evaluations, integrations, deployment to real users. We are not hiring a coordinator who uses AI occasionally; we are hiring an operator whose default execution mode is AI. * 6+ years of experience in business operations, commercial operations, program management, product operations, revenue operations, deal desk, chief of staff, or equivalent cross-functional roles at a scaling technology company. * Demonstrated track record running cross-functional programs across multiple stakeholder groups (e.g., Pricing, Legal, Revenue Accounting, Sales Operations, Product, Engineering, and go-to-market). Comfort driving decisions to closure without owning every domain yourself, and the credibility to hold peer leaders accountable to deadlines. * Strong program management instincts. Track record of building or operating intake, status, escalation, and communication systems that scale across teams. * Working understanding of cloud and software-as-a-service commercial models: pricing and packaging, billing and metering, revenue recognition, commercial contracting, deal cycles, and post-launch operations. You do not need to own these domains; you do need to understand them well enough to coordinate the people who do. * Strong communicator with executive presence. Capable of translating cross-functional complexity into clean executive narratives, running productive multi-stakeholder meetings, and driving alignment in writing. * Comfort with ambiguity. Willingness to operate without a fully defined playbook on launches and deals that are precedent-setting and not covered by existing process. * High-trust, low-ego working style. You earn the right to coordinate by serving the cross-functional teams you partner with, not by claiming authority you do not have. * Bachelor's degree in Business, Systems Research or Operations, Math or Statistics, or related discipline. MBA, PMP, or equivalent program management credential preferred. PREFERRED * Hands-on experience building agentic operating tools (alerts, dashboards, signals, workflow automation) for cross-functional coordination at a high-growth cloud, data, AI, or SaaS company. * Experience supporting strategic deal cycles: deal readiness, bid management, cross-functional sequencing on enterprise commercial agreements. * Experience commercializing M&A acquisitions or new business models in a multi-product portfolio. * Familiarity with consumption-based and usage-based pricing in cloud, data, or AI platforms. * Familiarity with revenue accounting (ASC 606), SOX controls, and audit-ready process design. * SQL fluency and comfort working directly with commercial data in a cloud data platform. LOCATION Menlo Park, CA. Snowflake HQ office. This role requires in-person attendance at least 3 days per week. Location is strict. COMPENSATION The estimated total compensation for this role is $225,000 to $310,000 in cash compensation, with competitive equity. The successful candidate's starting compensation will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible to participate in Snowflake's bonus plan. EQUAL OPPORTUNITY STATEMENT Snowflake is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
P-1346 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. Databricks Mosaic AI offers a unique data-centric approach to building enterprise-quality, Machine Learning and Generative AI solutions, enabling organizations to securely and cost-effectively own and host ML and Generative AI models, augmented or trained with their enterprise data. The Money team's mission at Databricks is to maximize the value that our customers derive from their investments in data projects. We accomplish this through innovative commercialization strategies, timely & accurate billing, cost optimization tools, intelligent resource usage controls, and cutting-edge engineering. We provide a seamless and consistent experience set of platforms for all Databricks products to reach customers. As one of the first engineers for Money at Databricks India, you will be key to building a base for one of Databricks’ most central engineering teams. You will own critical components that form the backbone of our products, starting with Databricks’ resource admission control and usage governance infrastructure. Your role is crucial in helping bring diverse business needs together, including abuse prevention, product commercialization motions, and reliable product availability at scale. You will work closely with infrastructure as well as product teams in bringing critical governance functionality to Databricks customers. THE IMPACT YOU WILL HAVE: * Own Money systems and services that govern usage of all Databricks products and offerings. * Enhance engineering and infrastructure efficiency, reliability, accuracy, and response times, including CI/CD processes, test frameworks, data quality assurance, end-to-end reconciliation, and anomaly detection. * Collaborate with platform and product teams to develop and implement innovative infrastructure that scales to meet evolving needs. * Contribute to long-term vision and requirements development for Databricks products, in partnership with our engineering teams. WHAT WE LOOK FOR: * BS (or higher) in Computer Science, or a related field * 7+ years of production level experience in one of: Java, Scala, C++, or similar language * Comfortable working towards a multi-quarter vision with incremental deliverables * Proven track record in architecting, developing, deploying, and operating components of large scale distributed systems * Experience with software security and systems that handle sensitive data * Demonstrated ability to lead engineering projects across functional and organizational boundaries * A proactive approach and a passion for delivering high-quality solutions * Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes 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.
P-1253 At Databricks, we are obsessed with Data + AI to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Founded in 2013 by the original creators of Apache Spark™, Databricks has grown from a tiny corner office in Berkeley, CA to a global organization with over 6500 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest-growing SaaS companies in the world. The Money team's mission at Databricks is to maximize the value that our customers derive from their investments in data projects. We accomplish this through innovative commercialization strategies and cutting-edge engineering. Our team ensures timely, accurate, and customizable billing and usage data, alongside budgeting, forecasting, and cost optimization tools. We provide a seamless and consistent billing experience for all our customers, whether they are large enterprises or individual developers, across different pricing plans and cloud providers (AWS, GCP & Azure). As a Sr. Software engineer on the Money team, you will be closely involved in the entire billing process, including usage ingestion, metering, pricing, credits, promotions, payments, usage reporting, and cost center and budgeting. Your role is crucial in democratizing data by bringing Databricks products to market. By collaborating with marketing, product teams, commercialization experts, data scientists, IT, and customer support, you will standardize billing experiences across major cloud providers, offering our customers a unified "sky computation" experience. This role involves utilizing the latest Databricks products and tools within the ecosystem. The impact you will have: * Design and manage the Money systems and services, commercializing all Databricks products and offerings. * Develop innovative primitives that enable and support various pricing strategies such as Pay-As-You-Go, commissions, credits, trials, and promotions. * Enhance engineering and infrastructure efficiency, reliability, accuracy, and response times, including CI/CD processes, test frameworks, data quality assurance, end-to-end reconciliation, and anomaly detection. * Collaborate with commercialization experts to develop and implement innovative pricing strategies and plans. * Use AI and LLMs to innovate in cost insight, prediction, and optimization across various cloud providers. * You will become an expert at using the Databricks Data + AI tools * Provide leadership in long-term vision and requirements development for Databricks products, in partnership with our engineering teams. * Represent Databricks at academic and industrial conferences & events. What we look for: * BS or higher degree in Computer Science or a related field. * Technical leadership experience in large projects similar to those described, including near real-time large data processing and distributed service infrastructure management. * Proven track record of building, shipping, and managing reliable, distributed services and data pipelines at scale. * Demonstrated leadership skills and the ability to lead across functional and organizational boundaries. * A proactive approach and a passion for delivering high-quality solutions Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $157,000—$225,900 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
RDQ127R9 At Databricks, we are obsessed with Data + AI to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Founded in 2013 by the original creators of Apache Spark™, Databricks has grown from a tiny corner office in Berkeley, CA to a global organization with over 6500 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest-growing SaaS companies in the world. The Money team's mission at Databricks is to maximize the value that our customers derive from their investments in data projects. We accomplish this through innovative commercialization strategies and cutting-edge engineering. Our team ensures timely, accurate, and customizable billing and usage data, alongside budgeting, forecasting, and cost optimization tools. We provide a seamless and consistent billing experience for all our customers, whether they are large enterprises or individual developers, across different pricing plans and cloud providers (AWS, GCP & Azure). As a Sr. Staff Software Engineer on the Money team, you will be closely involved in the entire billing process, including usage ingestion, metering, pricing, credits, promotions, payments, usage reporting, and cost center and budgeting. Your role is crucial in democratizing data by bringing Databricks products to market. By collaborating with marketing, product teams, commercialization experts, data scientists, IT, and customer support, you will standardize billing experiences across major cloud providers, offering our customers a unified "sky computation" experience. This role involves utilizing the latest Databricks products and tools within the ecosystem. The impact you will have: * Design and manage the Money systems and services, commercializing all Databricks products and offerings. * Develop innovative primitives that enable and support various pricing strategies such as Pay-As-You-Go, commissions, credits, trials, and promotions. * Enhance engineering and infrastructure efficiency, reliability, accuracy, and response times, including CI/CD processes, test frameworks, data quality assurance, end-to-end reconciliation, and anomaly detection. * Collaborate with commercialization experts to develop and implement innovative pricing strategies and plans. * Use AI and LLMs to innovate in cost insight, prediction, and optimization across various cloud providers. * You will become an expert at using the Databricks Data + AI tools * Provide leadership in long-term vision and requirements development for Databricks products, in partnership with our engineering teams. * Represent Databricks at academic and industrial conferences & events. What we look for: * BS or higher degree in Computer Science or a related field. * 9+ years of experience building large projects similar to those described, including near real-time large data processing and distributed service infrastructure management. * Proven track record of building, shipping, and managing reliable, distributed services and data pipelines at scale. * Demonstrated leadership skills and the ability to lead across functional and organizational boundaries. * A proactive approach and a passion for delivering high-quality solutions 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 $217,100—$298,550 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Staff Software Engineer - Money Team P-940 At Databricks, we are obsessed with Data + AI to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Founded in 2013 by the original creators of Apache Spark™, Databricks has grown from a tiny corner office in Berkeley, CA to a global organization with over 6500 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest-growing SaaS companies in the world. The Money team's mission at Databricks is to maximize the value that our customers derive from their investments in data projects. We accomplish this through innovative commercialization strategies and cutting-edge engineering. Our team ensures timely, accurate, and customizable billing and usage data, alongside budgeting, forecasting, and cost optimization tools. We provide a seamless and consistent billing experience for all our customers, whether they are large enterprises or individual developers, across different pricing plans and cloud providers (AWS, GCP & Azure). As a software engineer on the Money team, you will be closely involved in the entire billing process, including usage ingestion, metering, pricing, credits, promotions, payments, usage reporting, and cost center and budgeting. Your role is crucial in democratizing data by bringing Databricks products to market. By collaborating with marketing, product teams, commercialization experts, data scientists, IT, and customer support, you will standardize billing experiences across major cloud providers, offering our customers a unified "sky computation" experience. This role involves utilizing the latest Databricks products and tools within the ecosystem. The impact you will have: * Design and manage the Money systems and services, commercializing all Databricks products and offerings. * Develop innovative primitives that enable and support various pricing strategies such as Pay-As-You-Go, commissions, credits, trials, and promotions. * Enhance engineering and infrastructure efficiency, reliability, accuracy, and response times, including CI/CD processes, test frameworks, data quality assurance, end-to-end reconciliation, and anomaly detection. * Collaborate with commercialization experts to develop and implement innovative pricing strategies and plans. * Use AI and LLMs to innovate in cost insight, prediction, and optimization across various cloud providers. * You will become an expert at using the Databricks Data + AI tools * Provide leadership in long-term vision and requirements development for Databricks products, in partnership with our engineering teams. * Represent Databricks at academic and industrial conferences & events. What we look for: * BS or higher degree in Computer Science or a related field. * Technical leadership experience in large projects similar to those described, including near real-time large data processing and distributed service infrastructure management. * Proven track record of building, shipping, and managing reliable, distributed services and data pipelines at scale. * Demonstrated leadership skills and the ability to lead across functional and organizational boundaries. * A proactive approach and a passion for delivering high-quality solutions Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $182,400—$247,000 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
RDQ427R276 Location: San Francisco or Seattle At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. More about the team: The AI Platform team builds the infrastructure that powers machine learning and AI at scale on Databricks. Our products span the full ML lifecycle — from feature engineering and model training to model serving and monitoring — enabling data and AI teams to build, deploy, and operate production ML systems with confidence. We work across some of the most technically demanding areas in the platform, including recommendation systems, real-time inference, large-scale distributed training, LLM infrastructure, vector search, and feature stores. Our mission is to make it radically easier for enterprises to put AI into production. We do this by providing a unified, governed, and performant AI platform that integrates deeply with the Databricks Data Intelligence Platform — connecting MLflow, Unity Catalog, Model Serving, Vector Search, Feature Engineering, LLM, and Agent infrastructure into a cohesive experience. You will join a team that ships products used by thousands of the world's most sophisticated data and AI organizations. You will drive the vision and roadmap for AI platform product areas and define how customers build, train, deploy, and monitor AI and ML systems on Databricks. You will collaborate across engineering teams to deliver an integrated and powerful path from experimentation to production. The impact you will have: * You will own the product roadmap for AI platform areas — defining what we build, why, and in what order — to accelerate customer adoption of AI and ML in production. * You will drive strategy for key AI platform capabilities, shaping how enterprises operationalize AI at scale. * You will partner closely with engineering teams to make deeply technical decisions about ML infrastructure — from distributed training architectures to real-time serving systems. * You will represent the voice of the customer by engaging directly with enterprise ML teams, translating their pain points and workflows into platform capabilities that simplify the path to production AI. * You will collaborate with GTM, Solutions Architecture, and Customer Success teams to drive enterprise adoption, shape field enablement, and inform competitive positioning. * You will define pricing, packaging, and commercialization strategy for AI platform features, working with business teams to maximize value capture. * You will grow end-user engagement with Databricks AI tools by identifying adoption bottlenecks and partnering cross-functionally to remove them. What we look for: * 5+ years of experience as a Product Manager working on platform or infrastructure products, ideally in ML/AI, data, or cloud services. * Deep technical background — CS, EE, or equivalent degree strongly preferred; former software engineer experience is a significant plus. You should be comfortable going deep on system architecture, writing technical specs, and engaging credibly with world-class ML engineers. * Experience with ML/AI infrastructure, data platforms, or cloud services (e.g., model training, model serving, feature stores, vector search, LLM infrastructure, ML pipelines, or similar systems). Familiarity with recommendation systems is a bonus. * Proven enterprise B2B product management experience with highly technical customers — you have shipped platform products, driven commercial outcomes, and worked with field teams to land enterprise deals. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Zone 1 Pay Range $181,700—$249,800 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.
RDQ427R276 Location: San Francisco or Seattle At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. More about the team: The AI Platform team builds the infrastructure that powers machine learning and AI at scale on Databricks. Our products span the full ML lifecycle — from feature engineering and model training to model serving and monitoring — enabling data and AI teams to build, deploy, and operate production ML systems with confidence. We work across some of the most technically demanding areas in the platform, including recommendation systems, real-time inference, large-scale distributed training, LLM infrastructure, vector search, and feature stores. Our mission is to make it radically easier for enterprises to put AI into production. We do this by providing a unified, governed, and performant AI platform that integrates deeply with the Databricks Data Intelligence Platform — connecting MLflow, Unity Catalog, Model Serving, Vector Search, Feature Engineering, LLM, and Agent infrastructure into a cohesive experience. You will join a team that ships products used by thousands of the world's most sophisticated data and AI organizations. You will drive the vision and roadmap for AI platform product areas and define how customers build, train, deploy, and monitor AI and ML systems on Databricks. You will collaborate across engineering teams to deliver an integrated and powerful path from experimentation to production. The impact you will have: * You will own the product roadmap for AI platform areas — defining what we build, why, and in what order — to accelerate customer adoption of AI and ML in production. * You will drive strategy for key AI platform capabilities, shaping how enterprises operationalize AI at scale. * You will partner closely with engineering teams to make deeply technical decisions about ML infrastructure — from distributed training architectures to real-time serving systems. * You will represent the voice of the customer by engaging directly with enterprise ML teams, translating their pain points and workflows into platform capabilities that simplify the path to production AI. * You will collaborate with GTM, Solutions Architecture, and Customer Success teams to drive enterprise adoption, shape field enablement, and inform competitive positioning. * You will define pricing, packaging, and commercialization strategy for AI platform features, working with business teams to maximize value capture. * You will grow end-user engagement with Databricks AI tools by identifying adoption bottlenecks and partnering cross-functionally to remove them. What we look for: * 5+ years of experience as a Product Manager working on platform or infrastructure products, ideally in ML/AI, data, or cloud services. * Deep technical background — CS, EE, or equivalent degree strongly preferred; former software engineer experience is a significant plus. You should be comfortable going deep on system architecture, writing technical specs, and engaging credibly with world-class ML engineers. * Experience with ML/AI infrastructure, data platforms, or cloud services (e.g., model training, model serving, feature stores, vector search, LLM infrastructure, ML pipelines, or similar systems). Familiarity with recommendation systems is a bonus. * Proven enterprise B2B product management experience with highly technical customers — you have shipped platform products, driven commercial outcomes, and worked with field teams to land enterprise deals. 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 $172,600—$237,325 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.
P-1346 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. Databricks Mosaic AI offers a unique data-centric approach to building enterprise-quality, Machine Learning and Generative AI solutions, enabling organizations to securely and cost-effectively own and host ML and Generative AI models, augmented or trained with their enterprise data. The Money team's mission at Databricks is to maximize the value that our customers derive from their investments in data projects. We accomplish this through innovative commercialisation strategies, timely & accurate billing, cost optimisation tools, intelligent resource usage controls, and cutting-edge engineering. We provide a seamless and consistent experience set of platforms for all Databricks products to reach customers. As one of the first engineers for Money at Databricks India, you will be key to building a base for one of Databricks’ most central engineering teams. You will own critical components that form the backbone of our products, starting with Databricks’ resource admission control and usage governance infrastructure. Your role is crucial in helping bring diverse business needs together, including abuse prevention, product commercialisation motions, and reliable product availability at scale. You will work closely with infrastructure as well as product teams in bringing critical governance functionality to Databricks customers. THE IMPACT YOU WILL HAVE: * Own Money systems and services that govern usage of all Databricks products and offerings. * Enhance engineering and infrastructure efficiency, reliability, accuracy, and response times, including CI/CD processes, test frameworks, data quality assurance, end-to-end reconciliation, and anomaly detection. * Collaborate with platform and product teams to develop and implement innovative infrastructure that scales to meet evolving needs. * Provide leadership in long-term vision and requirements development for Databricks products, in partnership with our engineering teams. * Represent Databricks at academic and industrial conferences & events. WHAT WE LOOK FOR: * BS/MS/PhD in Computer Science, or a related field * 12+ years of production level experience in one of: Java, Scala, C++, or similar language. * Comfortable working towards a multi-year vision with incremental deliverables. * Proven track record in architecting, developing, deploying, and operating large scale distributed systems. * Experience with software security and systems that handle sensitive data. * Demonstrated leadership skills and the ability to lead across functional and organizational boundaries. * A proactive approach and a passion for delivering high-quality solutions * Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes. 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.
About Norvion Systems AB Norvion Systems AB, headquartered in Gothenburg, Sweden, is an innovative engineering company delivering advanced AI, robotics, embedded systems, and automotive engineering solutions across the Nordic region and Europe. We work closely with leading industrial partners to support the development and deployment of next-generation technologies. Our engineering teams combine deep industry experience with a practical Nordic engineering culture focused on innovation, quality, and real-world impact. To support one of our partners in Gothenburg, we are looking for an experienced Service Owner to join a consulting assignment with a global provider of propulsion systems and power solutions for marine and industrial applications. If you have experience in service development, business strategy, commercialization, and digital services, we would love to hear from you. About the Assignment As a Service Owner, you will play a key role in developing and managing scalable service offerings for connected products and services. You will work across business and technical functions to support service development, commercialization, and continuous improvement. You will collaborate with dealers, markets, product teams, IT, and business stakeholders to develop service concepts, optimize business value, and support successful market introduction. Key Responsibilities Develop service contract concepts, value propositions, and segmented service offerings Build business plans, business cases, pricing models, and profitability scenarios Support commercialization and go-to-market activities for digital and connected services Define and improve monitoring processes for connected vessels Work closely with dealers, markets, product teams, IT, and business stakeholders Establish KPIs, feedback loops, rollout plans, and continuous improvement processes We Are Looking For We are looking for professionals with experience in service development and business strategy. You should have experience in: Service Lifecycle Management Business Development and Strategy Service Contract Management Digital / Connected Services and IoT Aftermarket or service business B2B and dealer-based sales models Go-to-Market and Commercialization Process Development and Change Management Business Cases, Pricing, and Revenue Models Assignment Details 📍 Location: Gothenburg, Sweden (On-site) 📅 Start Date: 1 September 2026 📄 Duration: Until 30 April 2027 Application Deadline: 30 July 2026 Candidates already authorized to work in Sweden—through Swedish/EU citizenship, permanent residence, or a valid Swedish work permit—will be prioritized. Why Join Norvion? Engineering Beyond Boundaries At Norvion, professionals work on real industrial challenges involving advanced technologies, digital solutions, and connected services. Work With Experienced Professionals Join a team with strong European engineering experience and collaborate with experts from leading technology companies and industrial organizations. Nordic Engineering Culture We believe in: Flat communication Technical excellence Individual ownership Continuous learning Sustainable work-life balance Interested? Please send your English CV to: 📧 hr@norviontech.com
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