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Staff Security Field Engineer
RDQ327R181 While candidates in the listed location(s) are encouraged for this role, candidates in other US locations will be considered. The Security Field Engineering team helps data teams solve the world's toughest problems by empowering customers to understand the security of the Databricks platform and by helping account teams address questions that come up during security reviews. Reporting to the Head of Security Field Engineering, you will meet with customers to answer questions, train other Databricks team members, build customer-facing content such as slide decks, white papers, and maybe write code that customers can use. Our team prioritizes scale -- we'd rather spend an hour building a doc than be in ten hours of meetings, rather deliver agent skills and knowledge base articles than be the rock star answering all the questions. If you want high growth, autonomy, and to touch all elements of security, look no further. The impact you will have: - You will be viewed as a security expert as you work with field teams and customers to understand architectures, address concerns and handle compliance questions - Your contributions may come in multiple ways, including customer interactions, scalable slides or white paper creation, internal enablement, process improvement, automation, or technical leadership—no one excels in every area, but all are valuable - When you’re on the call, you will be directly appreciated. When you’re not, your impact will be felt across the company through the enablement, collateral, knowledge management, and systems you build - You might not come from an assurance team, but you’ll come up to speed with common security and compliance regimes to save customers hours of effort and months of uncertainty - You will identify customer pain points and work with product management and product marketing will improve our product and our messaging - You will contribute to internal-facing services and automation that make life easier for our field staff and our customers. - You are probably already great at AI productivity, but you’ll sit in a group focused on becoming legendary. What we look for: - 6 + years of technical pre-sales or post-sales experience where you're the person in the room explaining the hard concepts - Equal love of understanding complex security principles and architectures, and of communicating them simply - Real-world experience in multiple security domains such as IaaS+PaaS+SaaS, network and endpoint security, web applications, vulnerability management, identity management, and SIEM, though not all are needed - You've done some scripting or programming, and are excited to use AI relentlessly to scale our impact across many thousands of customers and employees. - Understanding of the Databricks platform is a strong plus. 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 $194,800 - $267,850 USD Zone 2 Pay Range $175,400 - $241,100 USD Zone 3 Pay Range $165,600 - $227,700 USD Zone 4 Pay Range $155,800 - $214,300 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . 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 Security Assurance Engineer
P-1528 As a Staff Security Assurance Engineer within the Security Assurance Team, you will help lead high-visibility security compliance implementation initiatives. Reporting directly to the Senior Director, you will serve as a strategic catalyst for these programs, ensuring seamless execution and alignment with Databricks’ global security objectives. You will navigate a complex, cloud-native landscape, collaborating with Security, IT, Engineering, Internal Audit, Corporate Operations, and other teams, to assure successful completion of highly cross-functional projects that enable the growth of our business and safeguard our customers. This role requires an active Top Secret Clearance, the ability to access and work within a SCIF environment, and residence within the Washington, DC metropolitan area. The impact you will have: - Drive Project Outcomes: Adopt an ownership mindset to manage the end-to-end delivery of work required for new security certifications, federal authorizations, and compliance initiatives that expand Databricks’ reach across regulated and government markets. - Accelerate Execution: Act as a force multiplier by proactively identifying and neutralizing project blockers, reducing friction, and maintaining high velocity in a cloud-native environment. - Orchestrate Cross-Functional Decision Making: Navigate complex technical and compliance trade-offs, driving consensus across Engineering, IT, Product, and Security teams to reach timely resolutions. - Optimize Delivery Methodologies: Continuously refine project frameworks to maximize effectiveness, ensuring that security initiatives are both rigorous and agile. - Precision Program Management: Masterfully oversee project lifecycles—including milestones, dependencies, and risk mitigation—while providing executive-level transparency through accurate status reporting. - Build Strategic Partnerships: Forge deep, collaborative relationships with Security Assurance Team subject matter experts and technical stakeholders to ensure seamless alignment on security goals. What we look for: We are looking for a professional with the following skills and practical experience in: - Active Top Secret (TS) Clearance with the ability to access and work within a SCIF environment. - Location Requirement: Must be located in, or willing to relocate to, the Washington, DC metropolitan area. - Proven Expertise: 7+ years of experience (with Bachelor’s degree or 5+ years with advanced degree) in security and technical program/project management. Ideally, at a fast-paced, cloud-native organization. - Strategic Ownership: Demonstrated success in leading high-stakes security compliance initiatives (e.g., FedRAMP, DoD IL5/IL6, NIST 800-53, CMMC, PCI, HIPAA) from inception to authorization or market. - Complexity Management: Experience navigating projects with intricate technical dependencies, multiple stakeholders, and competing constraints with geo-distributed teams. - Executive Presence: Ability to influence and communicate effectively across the spectrum, from deep-dive technical discussions with engineers to high-level briefings for senior leadership and government stakeholders. - Agility & Continuous Learning: A proven track record of rapidly mastering new processes, methodologies, technologies, and security frameworks to meet evolving business needs. - Communication Excellence: Superb verbal and written skills, with a knack for translating complex project data into clear, actionable insights and documentation. - Educational Foundation: Bachelor’s degree in Computer Science, Information Systems, or a related technical field (or equivalent practical experience). - Federal Experience Preferred: Experience supporting U.S. Government, Defense, Intelligence Community, or other highly regulated environments is strongly preferred. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . 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 Research Engineer, Data Agents
About Databricks Databricks is the Data + AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 60% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics, and AI. Databricks is headquartered in San Francisco, with offices around the globe. About the Team The Databricks AI Research organization is pushing the frontier of next-generation enterprise AI. We believe a company's data is its greatest competitive advantage, and we're building the models and agents that unlock it. Our work spans the full stack, from model training to advanced multi-agent systems. The Data Agent team within AI Research is dedicated to pioneering frontier enterprise data agents. Our research focuses on developing agents capable of autonomous planning, code generation, and multi-step workflow execution within intricate enterprise settings. The team's primary technical pillars include post-training enhancements, harness design, agentic reinforcement learning (RL), and the construction of specialized RL environments. As a member of this team, you will bridge the gap between cutting-edge AI research and product development by shipping direct improvements to Genie, Databricks' agent product that provides significant value to our user base. The impact you will have - Develop the best post-training recipes to train enterprise Data agents, that are capable of autonomous planning, code generation, and multi-step workflow execution within intricate enterprise settings. - Partner closely with product teams to turn prototypes and research ideas into the best agentic experience for Databricks users. - Build systems that help the agent discover and use relevant lakehouse context, including tables, notebooks, code, and cell outputs, to produce more accurate and useful results. - Raise the technical bar for the team through strong design, execution, debugging, and mentorship, helping shape the long-term direction of agentic experiences at Databricks. What we look for - BS, MS, or PhD in Computer Science or a related field. - 2+ years of experience in an applied research environment, with a track record of shipping research prototypes to production. - Experience in LLMs, agents, reinforcement learning, post-training workflows. - Ability to work effectively in a fast-moving environment that blends research exploration with product and engineering rigor. - Clear communication and strong cross-functional collaboration with researchers, engineers, and product stakeholders. 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 $190,000 - $270,000 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . 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 Program Manager, People M&A
GAQ327R268 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. The Role Databricks continues to grow organically and through numerous strategic acquisitions. We’re looking to scale our M&A engine to handle high-volume and high-complexity deals. As the Staff Program Manager, you will oversee and lead the "engine room" of our People M&A team, transforming manual workflows, undocumented process, and numerous spreadsheets into a world-class, automated execution machine. You will bridge the gap between Corporate Development and our functional People teams to ensure every "Brickster" joins with a seamless, error-free experience. We are looking for a strategic builder who think from first principles. You don’t just follow a playbook; you engineer the platform that allows us to scale. You are someone who moves seamlessly between detailed strategy and deep-dive execution, energized by the technical complexity of M&A and the fast-paced velocity of our growth. The impact you will have: - Standardize the Playbook: Operationalize tribal knowledge into a documented, E2E M&A Playbook and Knowledge Hub to eliminate dependency on a small group of experts. - Drive Automation: Partner with People Tech to design and execute the "Tech Efficiency Roadmap," utilizing automation and AI into our workflows/deal phases. - Execution Leadership: Lead the People M&A phases of the deal. Manage the complex orchestration of recruiting, IT onboarding, and HR operations from deal disclosure through Day 1. - Data Integrity: Design and establish "Single Source of Truth" protocols and data ownership matrices to ensure 100% accuracy in employee data across all systems. - Cross-Functional Partnership: Act as the primary POC of the People team (TA, Benefits, PeopleOps, People Partners, Global Mobility) to ensure the People M&A priorities are roadmapped, tracked and implemented. What we look for: - 8+ years of M&A experience - Speed matters, you don't wait for a playbook; you plan fast, drive alignment and execute - You’re a problem solver, with multiple successful M&A project and process transformations - Deep technical knowledge of People processes - Experience designing, scaling, transforming People workflows - Strategy & planning mindset, execution/delivery, influencing executive stakeholders Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 1 Pay Range $181,100 - $249,050 USD Zone 2 Pay Range $163,000 - $224,200 USD Zone 3 Pay Range $153,900 - $211,650 USD Zone 4 Pay Range $144,900 - $199,200 USD 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 $181,100 - $249,050 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 $163,000 - $224,200 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 $153,900 - $211,650 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 4 Pay Range $144,900 - $199,200 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . 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 Product Manager - Technical
As a Technical Product Manager , you will work closely with product managers, engineering teams, and technical field organizations to ensure the features we design and ship deliver outstanding user experiences. Depending on your background, you will focus on one of two critical product areas : OLTP Databases You will help shape our transactional database capabilities to meet the performance, reliability, and scalability requirements of modern applications and AI agents. Data Governance You will help ensure data assets are governed effectively, enabling controlled access, compliance, and visibility across the organization. This includes enabling governed access for AI-driven use cases (e.g. agent-based access via MCP or similar technologies). This role requires you to deeply understand both functional and non-functional requirements , such as performance, scalability, security, and compliance and how customers meet these requirements today. You will evaluate how these workloads are implemented on the Databricks Data Intelligence Platform and identify opportunities to improve the product experience. You will act as a bridge between technical field teams and product and engineering . Insights from customer PoCs, benchmarks, and real-world implementations will directly inform product decisions. You will also help ensure that product improvements are clearly communicated back to the field. The impact you will have - Identify and drive impactful product improvements in your domain of expertise - Define and run performance benchmarks (OLTP focus) or governance best practices and reference architectures (governance focus) - Shape and prioritize a meaningful product roadmap - Support go-to-market efforts and guide product adoption - For governance focus: define processes and mechanisms for how AI agents securely and compliantly access the Databricks Data Intelligence Platform What we look for - 5+ years of experience with a strong, hands-on technical background - Strong empathy for customers across full spectrum of Data Platform users - Deep domain expertise in one of the following: - Transactional databases (OLTP), cloud-native databases, or distributed systems - Data governance, data catalogs, lineage, and access management - Experience evaluating and comparing technologies across dimensions such as performance, reliability, governance, and compliance - Strong Python and SQL skills - Experience using AI-assisted development tools - Experience with systems design and architecture - Proven ability to work effectively across product, engineering, and technical field teams About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . 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 Product Manager, Serverless Workspaces
RDQ427R275 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 Serverless Workspaces team is the engine behind Databricks' shift from a "configure-first" to a "use-now" platform. We are redefining the customer onboarding experience by removing the heavy lifting of cloud infrastructure without complicated networking, storage, and cluster configuration, just instant access to data and AI. Our mission is to deliver "Workspaces in Seconds." We are building the invisible infrastructure that allows any use (not just infrastructure or IT teams) to spin up a fully governed, secure, and compliant Databricks environment instantly. You will own the strategy for this next-generation platform layer, balancing the simplicity of a SaaS experience with the control enterprise customers demand. The impact you will have: - Drive the transition to Serverless: You will lead the strategy to unify the journey to onboard to serverless and classic workspaces and drive 10X usage of serverless in the next year - Democratize Workspace Creation: You will design and ship flows that allow users to spin up workspaces instantly with little friction while maintaining strict governance guardrails and company policies - Redefine the "Getting Started" experience: You will lower the barrier to entry by removing the requirement for customers to manage detailed cloud infrastructure configurations before using Databricks but allowing them dial those in when they’re ready - Solve "Workspace Proliferation": As creating workspaces becomes easier, you will help define the tools and policies that allow Admins to confidently govern increased amounts of workspaces across the enterprise - Unify the Data Estate: You will work closely with the Unity Catalog and Identity teams to ensure that these new serverless environments seamlessly integrate with a customer’s existing data and security models. What we look for: - 7+ years of experience as a Product Manager working on cloud infrastructure, developer platforms, or SaaS foundations. - Technical depth in Cloud Infrastructure: Familiarity with AWS, Azure, or GCP resource management (e.g. networking, compute, identity) and how to abstract that complexity for end-users. - Passion for simplification: You have a track record of taking complex technical workflows (like configuring a VPC or peering) and turning them into "one-click" consumer-grade experiences. - Data-driven mindset: You are comfortable defining and tracking KPIs, such as "Time to First Workspace" or "Serverless Adoption Rate," to measure success. 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 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . 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 Product Manager, Serverless Workspaces
RDQ427R275 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 Serverless Workspaces team is the engine behind Databricks' shift from a "configure-first" to a "use-now" platform. We are redefining the customer onboarding experience by removing the heavy lifting of cloud infrastructure without complicated networking, storage, and cluster configuration, just instant access to data and AI. Our mission is to deliver "Workspaces in Seconds." We are building the invisible infrastructure that allows any use (not just infrastructure or IT teams) to spin up a fully governed, secure, and compliant Databricks environment instantly. You will own the strategy for this next-generation platform layer, balancing the simplicity of a SaaS experience with the control enterprise customers demand. The impact you will have: - Drive the transition to Serverless: You will lead the strategy to unify the journey to onboard to serverless and classic workspaces and drive 10X usage of serverless in the next year - Democratize Workspace Creation: You will design and ship flows that allow users to spin up workspaces instantly with little friction while maintaining strict governance guardrails and company policies - Redefine the "Getting Started" experience: You will lower the barrier to entry by removing the requirement for customers to manage detailed cloud infrastructure configurations before using Databricks but allowing them dial those in when they’re ready - Solve "Workspace Proliferation": As creating workspaces becomes easier, you will help define the tools and policies that allow Admins to confidently govern increased amounts of workspaces across the enterprise - Unify the Data Estate: You will work closely with the Unity Catalog and Identity teams to ensure that these new serverless environments seamlessly integrate with a customer’s existing data and security models. What we look for: - 7+ years of experience as a Product Manager working on cloud infrastructure, developer platforms, or SaaS foundations. - Technical depth in Cloud Infrastructure: Familiarity with AWS, Azure, or GCP resource management (e.g. networking, compute, identity) and how to abstract that complexity for end-users. - Passion for simplification: You have a track record of taking complex technical workflows (like configuring a VPC or peering) and turning them into "one-click" consumer-grade experiences. - Data-driven mindset: You are comfortable defining and tracking KPIs, such as "Time to First Workspace" or "Serverless Adoption Rate," to measure success. 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 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . 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 Product Manager, Security
P-1016 At Databricks, we are passionate about helping data teams 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. To achieve our mission, we strive to radically simplify the experience of our users as they undertake complex data management projects, while ensuring that we protect their data with the highest standards of security. In this role, you will lead all aspects of data security for the Databricks Lakehouse platform. You will drive the product strategy to identify, prioritize and deliver both the external and internal controls necessary for customers to meet their privacy, confidentiality, digital sovereignty and other regulatory obligations. You will create elegant yet simple policy models that enable customers to control access to their most important assets. Your work will help IT and security administrators feel at ease with increasing Databricks usage in their organization. Our data champions will benefit from the data security and operational simplicity you provide, to ensure that they can focus their time on creating most value for their users. You will report to a Senior Director of Product management. The impact you will have: - Make security a market differentiator that enables Databricks to succeed in enterprise and regulated industries. - Help Databricks gain the trust of CSO teams of security sensitive customers and qualify the Lakehouse platform for all data classes in the customer organization. - Build a vision for a best-in-class network and data security policy model that provides secure access to customer workloads and data while minimizing exposure to unauthorized access and risk of data loss. - Partner with privacy, legal, and security teams to deliver anonymization, retention, and residency for regulated data and sensitive assets such as AI models. - Deepen our understanding of evolving threats and corresponding technologies in data security. Use customer inputs to serve as an expert and propose new innovations or best practices from the industry. - Partner with cloud providers and support confidential compute - Rationalize and refine the differences in customer experience and data security technologies across multiple clouds including Azure, AWS and Google Cloud. What we look for: - 7+ years of product management experience with enterprise B2B or SaaS products, with experience delivering successful customer-facing products/features. - Domain expertise in data security, data privacy, and encryption - An accomplished senior product manager who can define and deliver on success metrics, summarize customer inputs into actionable requirements, and crisply communicate product value propositions to customers and sales teams. - Experience partnering with senior engineering leadership with an ability to deep-dive into complex technical concepts. - Experience driving business results through influential leadership across multiple partner teams including engineering, sales, marketing, solution architects and customer success. - Passion for designing products that simplify user experience of technically complex products. 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 $135,700 - $240,000 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . 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 Product Manager, Security
P-1016 At Databricks, we are passionate about helping data teams 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. To achieve our mission, we strive to radically simplify the experience of our users as they undertake complex data management projects, while ensuring that we protect their data with the highest standards of security. In this role, you will lead all aspects of data security for the Databricks Lakehouse platform. You will drive the product strategy to identify, prioritize and deliver both the external and internal controls necessary for customers to meet their privacy, confidentiality, digital sovereignty and other regulatory obligations. You will create elegant yet simple policy models that enable customers to control access to their most important assets. Your work will help IT and security administrators feel at ease with increasing Databricks usage in their organization. Our data champions will benefit from the data security and operational simplicity you provide, to ensure that they can focus their time on creating most value for their users. You will report to a Senior Director of Product management. The impact you will have: - Make security a market differentiator that enables Databricks to succeed in enterprise and regulated industries. - Help Databricks gain the trust of CSO teams of security sensitive customers and qualify the Lakehouse platform for all data classes in the customer organization. - Build a vision for a best-in-class network and data security policy model that provides secure access to customer workloads and data while minimizing exposure to unauthorized access and risk of data loss. - Partner with privacy, legal, and security teams to deliver anonymization, retention, and residency for regulated data and sensitive assets such as AI models. - Deepen our understanding of evolving threats and corresponding technologies in data security. Use customer inputs to serve as an expert and propose new innovations or best practices from the industry. - Partner with cloud providers and support confidential compute - Rationalize and refine the differences in customer experience and data security technologies across multiple clouds including Azure, AWS and Google Cloud. What we look for: - 7+ years of product management experience with enterprise B2B or SaaS products, with experience delivering successful customer-facing products/features. - Domain expertise in data security, data privacy, and encryption - An accomplished senior product manager who can define and deliver on success metrics, summarize customer inputs into actionable requirements, and crisply communicate product value propositions to customers and sales teams. - Experience partnering with senior engineering leadership with an ability to deep-dive into complex technical concepts. - Experience driving business results through influential leadership across multiple partner teams including engineering, sales, marketing, solution architects and customer success. - Passion for designing products that simplify user experience of technically complex products. 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 $129,000 - $228,000 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . 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 Product Manager, SAP
GAQ126R40 We're looking for a Product Manager to lead the strategy, implementation, and evolution of our SAP platform. In this role, you'll define the product vision for SAP as the foundation of Finance operations while building the intelligent automation layer that transforms manual, transaction-heavy processes into streamlined, AI-powered workflows. Working closely with Finance and Engineering, you'll shape the future of finance operations by combining the strength of SAP with agentic AI to deliver a simpler, more automated, and more intelligent experience for Finance users. The Opportunity SAP will serve as the foundation for Databricks' core finance processes, including Record-to-Report, Source-to-Pay, and Order-to-Cash. As the SAP Product Manager, you will shape how Finance users interact with these processes by building an intelligent, AI-powered agentic layer on top of SAP. Rather than navigating multiple systems and performing manual tasks, Finance teams will rely on AI-driven workflows that automate routine work, surface the right insights, and guide users through exceptions and approvals. Your mission is to combine the strength of SAP with the power of the Databricks AI to create a modern, highly automated finance experience that enables the business to scale. The impact you will have: - Own the SAP & Intelligent Automation Strategy: Lead the product strategy and roadmap for Databricks' SAP platform, ensuring it serves as the foundation for scalable, best-in-class finance operations. Drive SAP implementations, platform evolution, and business process transformation while defining the automation roadmap that leverages AI and agentic workflows to simplify user experiences, reduce manual effort, and improve operational efficiency. - Lead the AI & Agentic Layer: Design, build, and deploy intelligent agentic workflows on top of SAP, partnering with engineering and data teams on the orchestration, retrieval, and guardrail patterns that make agents safe to act on financial and procurement data. - Unify SAP Data in the Lakehouse: Own the product requirements for getting SAP data into Databricks, including ingestion, semantic and master data modeling, lineage, and governance, so that AI, analytics, and downstream applications work from one trusted definition of the business. - Serve as Product Owner in Delivery: Own the backlog and acceptance criteria, run prioritization and release planning with internal and partner engineering teams, and drive readiness, cutover, adoption, and change management for what you ship. - Domain Leadership: Act as the primary product leader for core SAP domain, and as the connective tissue across the SAP ecosystem, including BTP, Integration Suite, and the non-SAP systems around it. - Execute and Measure: Define success metrics (process cycle time, touchless transaction rate, automation accuracy, adoption, close efficiency, cost-to-serve) and use data-driven insights to guide rapid iteration. - Influence and Collaborate: Align Finance, Procurement, Enterprise Architecture, Security, and senior leadership around the automated product vision, and evangelize the roadmap in company-wide productivity and AI discussions. What we look for: - 7+ years of product management or product ownership experience , with a proven track record leading enterprise ERP initiatives at scale, including at least one large SAP implementation, S/4HANA migration, or major module rollout. - Specialist Domain Expertise: Deep functional background in SAP and the business processes it runs, with concrete experience in one or more of record-to-report, source-to-pay, or order-to-cash , and working fluency in the adjacent areas and in master data governance. - Agentic Automation & Advanced AI: Hands-on experience or a strong technical understanding of agentic automation , LLM orchestration, retrieval-augmented generation, and evaluation, with clear judgment about where AI belongs in a controlled, auditable ERP process and where it does not. - Data Fluency: Strong understanding of building on modern data platforms, including SAP data extraction and modeling, pipelines, semantic layers, and the practical work of making ERP data usable for analytics and AI. - Strategic & Product Thought Leadership: Demonstrated ability to own a product domain end-to-end, linking automation outcomes directly to finance and operations goals rather than to feature delivery. - Governance Rigor: Working knowledge of SAP authorizations, SoD, SOX and audit requirements, and modern enterprise governance practice, and the ability to design automation that satisfies them. - Ambiguity Champion: Highly comfortable leading through extreme ambiguity, managing complex stakeholder landscapes across business and IT, and collaborating directly with engineering pods to build applications from scratch. Preferred Qualifications - Experience developing custom applications or automation layers on data platforms (such as Databricks) that extend or sit alongside SAP. - Familiarity with the SAP AI and extension stack, including BTP, and AI Core, and a clear point of view on build-versus-adopt tradeoffs against a Databricks native approach. - Hands-on knowledge of SAP integration surfaces and their limitations, including OData and REST APIs, CDS views and Datasphere. 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 $172,200 - $236,850 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . 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 Product Manager, AI Platform
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 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . 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 Product Manager, AI Platform
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 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . 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 Product Manager, Agentic AI Applications
Location: San Francisco or Mountain View, California GAQ327R225 Databricks is building an Agentic Enterprise applications Platform a scalable, governed AI application platform built on Databricks that enables any internal team (GTM, Finance, HR, Legal, Product) to build production grade agentic applications in weeks, not months. The platform provides a managed agent runtime, standardized MCP connectors to enterprise systems of record, a shared UI component library with a design system, an intelligence data/context layer and a gold-standard promotion pipeline from prototype to production. As a Staff Product Manager , you will own the product strategy, roadmap, and execution for the Agentic Platform the foundational layer that every domain workspace depends on. You will work across agent runtime, MCP connectors, intelligence layer, evaluation framework, developer experience, and governance to deliver a platform that reduces time-to-production from months to weeks while maintaining enterprise grade quality, security, and reliability. You will partner closely with Application Engineering, the CIO organization, and domain teams across GTM, HR, Finance, and Product to ensure the platform serves real needs and scales with the organization. The impact you will have: - Own the Agentic Platform strategy and roadmap. Define what ships, in what order, and why. Translate organizational outcomes into concrete platform capabilities with measurable success criteria. - Define and drive the agent and runtime. Establish the managed agent runtime supporting multi step orchestration with durable execution, model gateway abstraction across all providers, governed tool invocation, and configurable per-agent guardrails (cost ceilings, timeouts, blast radius limits). - Build the MCP connector ecosystem. Own the strategy for standardized, bidirectional connectors various systems of record. Drive on behalf of identity propagation, idempotency, dry-run/preview mode, and a connector SDK that lets domain teams onboard new systems without platform changes. - Establish the intelligence layer. Define the three layer data architecture: knowledge graph (curated domain knowledge), context graph (live entity state from systems of record), and temporal memory (session, user preferences, and episodic history). Ensure unified retrieval across vector, structured, and graph sources with source traceability on every context element. - Ship the evaluation and quality framework. Own the AI-judge evaluation pipeline: offline eval with golden datasets, online LLM-as-judge scoring, domain-specific judges (Finance, HR, Legal, Sales), and mandatory evaluation gates in CI/CD. No agent reaches production without passing quality and safety thresholds. - Design the developer experience. Make the platform self-service by construction. Domain teams provision agent projects, promote across environments, and access connectors without platform-team tickets. SDK, CLI, sandbox environments, agent templates, and documentation — the paved road must be faster than building bespoke. Target: idea to production in Define the federation and adoption model. Establish the three tiers of adoption (platform built, domain built on platform, citizen developer edge apps) with governance checkpoints at each gate. Drive the gold-standard promotion pipeline from edge prototype to production hardened service. What we look for: - 8+ years of product management experience, with at least 3 years on internal platform, infrastructure, or developer-experience products. - Deep experience building platforms that other teams build on you understand the difference between a platform and an application, and you have opinions about API design, developer ergonomics, and self service. - Demonstrated experience with AI/ML platforms, agent frameworks, LLM-powered applications, or agentic systems. You know what an agent runtime is, what RAG means in practice, and why evaluation is the hardest part. - Strong technical foundation you can read architecture diagrams, discuss trade offs with engineers (e.g., sync vs. async, checkpointing strategies, context window management), and make informed prioritization decisions on deeply technical work. - Experience defining and shipping developer experiences: SDKs, CLIs, templates, documentation, and self service workflows. You measure success by adoption and developer NPS, not feature count. - Proven ability to lead cross-functional initiatives across 4+ teams without direct authority. You influence through clarity, conviction, and stakeholder alignment. - Strong written communication strategy documents, PRDs, and executive briefs that drive alignment at VP and CIO level. - Comfort with ambiguity, you will define the roadmap for capabilities that don't exist yet, in a space that is evolving weekly. Nice to have: - Experience with Databricks, Lakehouse architecture, Unity Catalog, MLflow, or Delta Lake. - Familiarity with LangGraph, LangChain, or similar agent orchestration frameworks. - Familiarity with MCP (Model Context Protocol), A2A (Agent-to-Agent), or AG-UI protocols. - Experience building AI evaluation frameworks LLM-as-judge, red-teaming, or automated quality scoring. - Experience with design systems, component libraries, or frontend platform work. - Background in enterprise SaaS platform consolidation or migration. 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 $172,200 - $236,850 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 . Local Pay Range $172,200 - $258,400 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . 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 Product Manager
P-1345 You will be the Product Manager for the Databricks Runtime team in Berlin . The team works at the intersection of query processing, storage, infrastructure and data governance, all key components of the Databricks data intelligence platform. As the Product Manager, you will develop a deep understanding of modern cloud infrastructure, data governance solutions, and open source components, and gather requirements from customers. You will launch features that will impact how customers process petabytes of data every day and make it simpler for them to draw value from their data. This role requires coordinating all product activities from vision to implementation, including engaging customers to understand their needs, developing long-term product strategy, defining product roadmaps, working with engineering to build those products, and coordinating with various internal stakeholders (both pre- and post-launch) to ensure product success. The impact you will have: - Own the end-to-end product management process - Gather customer requirements, design features and collaborate with engineering to deliver a polished market-ready product - Drive launches with product marketing through blog posts, release notes, webinars - Define and measure OKRs for your products - Drive the prioritization and development of features, measurably making it simpler and more cost effective for customers to govern and process petabytes of data. What we look for: - 6+ yrs of experience - Bachelors degree in Computer Science or similar field - Experience in Product Management (inbound, outbound, cross-functional processes) - Technical skills - Solid understanding of cloud infrastructure (AWS, Azure, GCP) - Strong data analysis and operationalization skills (SQL, rollups, building operational dashboards) About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . 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 Product Manager
P-1345 You will be the Product Manager for the Databricks Runtime team in Amsterdam. The team works at the intersection of query processing, storage, infrastructure and data governance, all key components of the Databricks data intelligence platform. As the Product Manager, you will develop a deep understanding of modern cloud infrastructure, data governance solutions, and open source components, and gather requirements from customers. You will launch features that will impact how customers process petabytes of data every day and make it simpler for them to draw value from their data. This role requires coordinating all product activities from vision to implementation, including engaging customers to understand their needs, developing long-term product strategy, defining product roadmaps, working with engineering to build those products, and coordinating with various internal stakeholders (both pre- and post-launch) to ensure product success. The impact you will have: - Own the end-to-end product management process - Gather customer requirements, design features and collaborate with engineering to deliver a polished market-ready product - Drive launches with product marketing through blog posts, release notes, webinars - Define and measure OKRs for your products - Drive the prioritization and development of features, measurably reducing the cost and time needed for operating ETL and machine learning workflows. What we look for: - 6+ yrs of experience - Bachelors degree in Computer Science or similar field - Experience in Product Management (inbound, outbound, cross-functional processes) - Technical skills - Solid understanding of cloud infrastructure (AWS, Azure) - Strong data analysis and operationalization skills (SQL, rollups, building operational dashboards) About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . 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 Production Engineer- Public Sector
P-1603 About Databricks 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. And we're only getting started. The Role At Databricks, we don’t just use the cloud; we are "cloud maximalists." Unlike most companies that treat multi-cloud as a backup strategy, we run our platform across every region of every major cloud provider (AWS, Azure, and GCP) simultaneously. This creates a massive, high-consequence engineering surface area that requires a unique breed of Production Engineer. In this role, you won’t just run our cloud environments; you will own and evolve the secure infrastructure, access patterns, and guardrails that keep Databricks’ global platform safe and compliant in production. You will be responsible for the "sovereign layer" of our infrastructure, ensuring that our Data Intelligence Platform operates with 100% reliability and security in highly regulated, air-gapped, and sovereign environments. If you are an engineer who views infrastructure as a software problem and thrives on the complexity of global-scale networking, IAM, and automation, this is your team. The Impact You’ll Have Security-Focused Cloud Operations - Design, automate, and operate the IAM, account/subscription, and project lifecycle across AWS, Azure, and GCP, enforcing least-privilege and standardized access patterns at scale. - Review, implement, and continuously improve cloud identity and access policies (IAM, Okta, Opal) to align with Databricks security standards and audit requirements. Production Engineering & Automation - Build and maintain reliable, observable automation and tooling to apply cloud changes (roles, policies, accounts, networking) safely and repeatedly. - Treat operational and security issues as software problems : eliminate toil, drive root-cause analysis, and codify fixes into infrastructure and tooling. Security Data Pipelines & Compliance - Own and improve security and audit logging data pipelines from cloud providers into our internal systems, ensuring timely, accurate data for detection, investigations, and audits. - Partner with Security, Compliance, and Audit teams to provide evidence, clarifications, and policy updates that keep our environments aligned with evolving standards. Regulated & Specialized Environments - Operate and improve specialized, highly regulated environments (e.g., FedRAMP / GovCloud) including release management, patching cadences, and supporting secure access workflows (e.g., SAW). - Ensure high availability and resiliency for critical security and access infrastructure across these environments. On-Call & Incident Response - Participate in a 24x7 on-call rotation for high-severity incidents impacting cloud accounts, IAM, or security data pipelines. - Act as a key partner to product engineering, security engineering, and field teams during incidents to restore service and harden systems for the future. What We Look For - Required: Candidates must hold a current TS/SCI clearance (either active or currently held in an editable/re-activatable status within the 2-year window). - Nice to have: Possession of a current polygraph (Counterintelligence or Full Scope) is highly desired and considered a significant plus. - Education- BS, MS, or PhD in Computer Science, Engineering, or a related technical field, or equivalent practical experience. - Experience - Staff : 8+ years of experience operating and automating large-scale cloud environments, with a track record of driving cross-team infrastructure improvement. - Cloud & Infrastructure Expertise - Deep hands-on experience with at least one major cloud provider ( AWS, Azure, or GCP ) in areas such as IAM, networking, accounts/subscriptions/projects, and audit logging. - Strong background in Infrastructure-as-Code and automation (e.g., Terraform, CloudFormation, or similar) and CI/CD for infrastructure changes. - Security & Compliance Mindset - Proven experience working in or with security-sensitive or regulated environments (e.g., SOC2, FedRAMP, ISO 27001, financial services, public sector) and translating requirements into concrete technical controls. - Familiarity with access review processes, policy baselines, and audit evidence for cloud environments. - Operational Excellence - Demonstrated success running high-availability, security-critical services , including on-call responsibilities and incident management. - Strong debugging and problem-solving skills across distributed systems, with the ability to navigate ambiguous issues spanning multiple teams and platforms. Bonus - Experience with Okta, Opal, or similar identity/access tooling . - Background operating secure admin workstations (SAW) or comparable hardened access patterns. - Experience migrating cloud accounts or subscriptions during M&A or large-scale reorganizations . 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 $162,000 - $222,750 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . 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 Product Designer, AI Products
RDQ327R178 At Databricks, we design tools that make complex data workflows intuitive and powerful. Our mission is to simplify how data is connected, understood, and activated so that organizations can turn information into business outcomes. Designers at Databricks blend strong visual craft with systems thinking, shaping products that support some of the most advanced data teams in the world. We're hiring a Staff Product Designer to help build a new product category at Databricks. You will help shape agent-driven experiences that make the power of the Lakehouse accessible to a broader set of users. This will be a true 0-to-1 environment, combining the excitement of a startup with the resources of a tech leader like Databricks. The impact you will have - Drive key product and design initiatives within a strategic new product area at Databricks, helping organizations activate and operationalize their data at scale. - Define a new generation of agent-driven workflows that help users move seamlessly from data and insights to decisions and action. - Collaborate closely with product management, engineering, and leadership to shape the future of business applications on the Databricks platform. - Design intuitive user experiences that simplify complex workflows while preserving the flexibility and power required by enterprise organizations. - Develop a deep understanding of Databricks business objectives, customer needs, emerging AI capabilities, and the evolving data and technology landscape. - Conduct user research to identify customer needs, pain points, and opportunities related to data activation, and AI-assisted workflows. - Mentor junior designers, fostering their growth and development within our team. What we look for - 8+ years of product design work experience - A bachelor's or master’s degree in design, computer science, human-computer interaction, or related field - Demonstrated ability to lead large and complex design projects and balance the needs of diverse stakeholders - Can execute beautiful visual and interaction work that’s rooted in a data-driven, and well-researched UX process - A system thinker who has the vision to design the big picture, and the tactical ability to break it down so that engineering can succeed in building it incrementally - You have a unique combination of technical knowledge and visual design skills which allows you to design powerful and intuitive tooling for technical users. - A portfolio demonstrating your end-to-end design process, from inception to production - Experience designing products that bridge the gap between technical and business users is a strong plus. Familiarity with data, analytics, AI, or enterprise software is highly valued. - The strongest candidates have demonstrated experience using modern development and AI-assisted coding tools to prototype ideas, understand implementation tradeoffs, and collaborate deeply with engineering teams. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 1 Pay Range $166,600 - $229,150 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . 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 Partner Engineer, Azure
RDQ427R371 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. About the Role We're seeking a Partner Engineer to own the technical relationship between Databricks Product/Engineering and Microsoft Azure. You will be the primary technical liaison managing our cross product roadmap, driving engineering integrations, and ensuring Databricks products work seamlessly within the Azure ecosystem. You will work directly with Azure Partner SAs, Product Managers, and engineering teams to align roadmaps, identify integration gaps, and accelerate feature delivery. This role reports to the Director of Partner Engineering and works closely with Databricks Product Management, Engineering, and Field teams. Impact you will have - Own the Databricks-Azure product-to-cloud technical roadmap, serving as the primary interface between Databricks Product Management and Azure partner teams to ensure alignment on features, integrations, and co-innovation priorities. - Track and drive resolution of cross-company dependencies and blockers, manage joint milestone timing with Azure teams, and own the coordination rhythms (recurring syncs, escalation paths) that keep both sides aligned through delivery. - Drive engineering integration work between Databricks and Azure product teams coordinating cross-company technical initiatives from scoping through delivery. - Create and maintain technical architecture artifacts showing "better together" integration patterns, holistic architecture diagrams, and reference implementations for Azure + Databricks solutions. - Enable field teams with technical guidance on Azure-Databricks integration patterns, working with Solution Architects and Customer Success to accelerate Azure customer wins. What we’re looking for - 10+ years of experience in cloud solution architecture, partner engineering, or technical program management roles, with deep expertise in Microsoft Azure services and architecture patterns. - Proven experience managing strategic technical partnerships at VP/C-level, with ability to navigate complex multi-company engineering initiatives and drive consensus across organizations. - Hands-on technical skills with ability to prototype integrations, debug complex issues, and validate technical feasibility of proposed solutions. Experience with Python, SQL, infrastructure-as-code, and API integration patterns. - Demonstrated ability to manage high-stakes partner relationships where strategic interests diverge, including setting boundaries and managing expectations while preserving long-term partnership health. - Deep knowledge of Databricks platform and Microsoft data/AI ecosystem - Excellent communication and influence skills, with ability to translate technical requirements between Product Management, Engineering, and external partner teams. Preferred - Prior experience in Partner Solutions Architect or Alliance Engineering roles at cloud providers (AWS, Azure, GCP) or major ISVs. - Background working at or with Microsoft - understanding of Microsoft field organization, partner program structure, and decision-making processes. - History of driving product-to-product integrations between major platforms. - Familiarity with modern development workflows and AI-assisted development tools (Cursor, Claude Code, Codex). 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 $150,200 - $206,450 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 $150,200 - $206,450 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . 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 Partner Engineer, AI Partnerships
RDQ427R534 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. About the Role We're looking for a Partner Engineer to lead the technical relationship between Databricks and our strategic AI partnerships - including Anthropic, OpenAI and Google Gemini. You'll own the joint roadmap with their product teams, drive the development of integrations that connect and extend both platforms, and get hands-on with new product features and tooling. You'll collaborate with partners to build POCs that become new products, demos, and hands-on labs - and ultimately the architectures our customers deploy. With direct visibility and engagement with our founders and executives, this high impact role sits in Partner Engineering and works closely with Product, Engineering, Strategic Partnerships and Global GTM teams. Impact you will have - Serve as the primary technical point of contact across the AI labs, building relationships with senior product and engineering stakeholders to drive joint innovation. - Work alongside our technical executives to shape the joint product roadmap by translating partner capabilities and integration needs into Databricks platform requirements - Navigate complex relationships in order to align on joint product offerings that address the needs of Databricks, our partner organizations, and our customers. - Design and build the integrations that connect and extend both platforms, serving as the hands-on technical expert and early validator of new capabilities. - Build POCs and reference architectures that hand off cleanly to engineering teams to productize, or to customers to deploy. - Work with our most strategic customers to align their AI architecture and roadmap needs with what Databricks and our partners are building. - Develop and maintain technical field enablement content to equip internal & external field teams with the knowledge and tools to deliver joint architectures and articulate differentiated 'better together' value propositions. What we're looking for - 10+ years in field engineering, consulting, platform architecture, or AI systems development, with the ability to master new technologies quickly while managing multiple partners. - Depth in how AI systems are built and run in production, across model serving, inference, retrieval, and agent frameworks, and an understanding of how AI products are developed, delivered, and adopted. - Hands-on engineering skills, with the ability to develop POCs, build demos, and debug integrations that hold up in front of partner engineering teams and customers. Experience with Python and REST APIs and SDKs. - Established existing relationships within the product and engineering functions of major AI labs and cloud providers. - Experience in strategic technical partnerships, navigating multi-company engineering initiatives, building consensus across organizations, and leading architectural discussions with clarity. - Deep knowledge of the Databricks platform and the ability to design AI architectures that span it and a partner's products. - Communication and influence skills, with the ability to present to engineering teams and executives, and to translate between Product, Engineering, and partner teams. - Availability to travel globally to partner sites, conferences, and events as required. Preferred - Prior experience in Partner Solutions Architect, Solutions Engineering, or Alliance Engineering roles at AI companies, cloud providers, global system integrators, or major enterprise software companies, with a track record of driving product-to-product integrations. - Experience taking AI systems to production at enterprise scale, including evaluation, cost and performance tuning, and the security and governance requirements that gate deployment. - Background working at or with a frontier lab or AI-native cloud provider, including an understanding of how they build, ship, and go to market. - Track record of creating technical content that developers use, including reference architectures, deployment guides, blog posts, and conference presentations. - Strong familiarity with modern development workflows and AI-assisted development tools such as Cursor, Claude Code, and Codex. 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 $150,200 - $206,450 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . 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 Machine Learning Engineer, CustomerLake (ML/...
RDQ427R109 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 Intelligence 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. As one of the first engineers in the NYC Engineering office, you'll join a small, nimble team building new products from the ground up. We're building CustomerLake, the Customer Data Platform on Databricks, to bring enterprise-grade ML and AI personalization to every company whose data already lives on Databricks. The best B2C and B2B brands have historically relied on in-house ML/AI teams to power personalization, recommendations, churn and lifetime-value modeling, and audience targeting. Our goal is to deliver that same capability to companies that don't have an in-house team but already have their data in order on Databricks. This is a true 0-to-1 environment, combining the excitement of a startup with the resources of a tech leader like Databricks. The impact you'll have: - Evaluate ML and LLM approaches for CustomerLake's personalization use cases, push the models and algorithms forward, and continuously improve quality over time - Go deep on how models behave in production: inspect individual traces, understand how the models reason, and tune and improve from there - Build the platform and evaluation framework that let CustomerLake customers optimize for real business value such as purchases, retention, and product usage, not vanity metrics like email opens and clicks - Push the team toward new directions and novel methods worth tackling, not just optimizing what already exists - Partner closely with product management, engineering, and design to turn ambiguous customer problems into scalable, trustworthy solutions - Set the technical foundation and best practices for our ML/AI personalization work as we grow this into several roles across our products over the next 1-2 years What we look for: - 10+ years of engineering experience, with a strong foundation across the full loop of shipping and improving ML/AI products - Hands-on experience building and evaluating ML models and/or LLM systems for real product or business use cases; your understanding is practical, not purely academic, and you can make models work well inside a product - Experience with personalization based on customer behavior (ideal) or transactions (acceptable), such as recommendations, targeting, churn, or lifetime-value modeling - Proficiency in Python and modern ML frameworks (e.g., PyTorch), with hands-on experience in model evaluation and monitoring AI quality in production - Familiarity with LLMs and generative AI, including techniques like retrieval-augmented generation (RAG), prompt design, fine-tuning, and evaluation - A demonstrated product mindset, with the ability to translate ambiguous customer problems into scrappy MVPs and iterate quickly based on data and user feedback - High ownership and bias for action in 0-to-1 environments: comfortable making pragmatic trade-offs, operating with incomplete information, and driving projects from idea through launch and adoption Nice to have: - Experience in martech, ideally a go-to-market or business use case with an analytical (rather than purely transactional) angle - An academic or research background that can help us innovate and develop novel methods 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 $192,000 - $260,000 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . 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 Machine Learning Engineer
P-1504 The Applied AI team at Databricks sits at the forefront of advancing GenAI-powered products. Over the past years, we’ve launched Databricks Assistant , AI/BI Genie , and Agent Bricks working with product teams, and made significant strides in LLM quality for these products. These products are used by 100s of thousands of Databricks users every day. We are tackling challenging problems like code suggestion, error detection and correction, text-to-sql generation, automatic pipeline generation, knowledge QA and many others. As our GenAI products continue to evolve, we are seeking multiple GenAI Engineers from junior levels to more senior levels to drive the next phase of development. In 2025, we will focus on enhancing LLM quality, expanding GenAI capabilities across Databricks products, and strengthening our platform architecture to enable seamless AI interactions at scale. Key Responsibilities - Shape the direction of our applied AI areas and intelligence features in our products . Drive the development and deployment of state-of-the-art AI models and systems that directly impact the capabilities and performance of Databricks' products and services (e.g., Databricks Assistant and AI/BI Genie). - Develop novel data collection, fine-tuning, and LLM technologies that achieve optimal performance on specific tasks and domains. - Design and implement ML pipelines for data preprocessing, feature engineering, model training, hyperparameter tuning, and model evaluation, enabling rapid experimentation and iteration. - Work closely with cross-functional teams, including AI researchers, ML engineers, and product teams, to deliver impactful AI solutions that enhance user productivity and satisfaction. - Build scalable, reusable backend systems to support GenAI products across the company. Develop robust logging, telemetry, and evaluation harnesses to ensure reliable model performance. What We’re Looking For - 2-8 years of machine learning engineering experience in high-velocity, high-growth companies. Alternatively, a strong background in relevant ML research in academia will be considered as an equivalent qualification. - Strong track record of working with language modeling technologies. This could include the following: Developing generative and embedding techniques, modern model architectures, fine tuning / pre-training datasets, and evaluation benchmarks. - Proficiency in Python, TensorFlow/PyTorch, and scalable ML architectures. - Ability to drive end-to-end model development, from research and prototyping to deployment and monitoring. - Strong analytical and problem-solving skills, with a passion for improving AI-driven user experiences. - Strong coding and software engineering skills, and familiarity with software engineering principles around testing, code reviews and deployment. - Experience with LLM fine-tuning, prompt engineering, and retrieval-augmented generation (RAG) is a bonus. Why Join Us? At Databricks, we are building state-of-the-art AI solutions that redefine how users interact with data and our products. You’ll have the opportunity to shape the future of AI-driven products at Databricks, work with cutting-edge models, and collaborate with a world-class team of AI and ML experts. If you're excited about pushing the boundaries of AI in real-world applications, we’d love to hear from you! Please note we are open to employees working from our Mountain View, CA office for this position. 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 $190,000 - $285,000 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . 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 Fullstack Engineer, Agentic Applications
P-1477 Databricks is transforming how it builds and operates People Technology — moving from traditional SaaS configuration toward an AI-native, agentic stack. You'll be the technical anchor of the People Tech pod, driving the architectural shift from workflow automation to autonomous, multi-agent systems that power HR, recruiting, workforce analytics, and employee experience at scale. This is a rare opportunity to reimagine a critical enterprise domain from the ground up using the very data and AI platform Databricks sells to the world. What you'll do - Architect and build agentic systems that automate and augment People Tech workflows — onboarding, offboarding, comp analysis, policy Q&A, HR service delivery — using LLM orchestration frameworks (LangGraph, AutoGen, or equivalent). - Define the agentic platform strategy for the pod: agent design patterns, tool-calling conventions, retrieval-augmented pipelines, evaluation frameworks, and human-in-the-loop guardrails. - Integrate People Tech systems (Workday, Greenhouse, ADP etc.) as agent-accessible tools and data sources via Databricks Unity Catalog and MCP-style interfaces. - Set the technical bar for the pod — reviewing designs, establishing engineering standards, and leading architectural reviews across the People Tech roadmap. - Influence peers and stakeholders: translate agentic capability into business outcomes for People, Legal, and Finance partners, and mentor engineers in the pod on AI-first thinking. What we're looking for - 8+ years of software engineering experience, with at least 2 years building production LLM or agentic applications (agents, RAG pipelines, tool-use, multi-agent orchestration). - Deep fluency in Python and experience with agentic frameworks — LangChain/LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar. - Strong command of enterprise integration patterns: REST/GraphQL APIs, event-driven architecture, and connecting SaaS HR/HCM platforms programmatically. - Experience with data platforms — Databricks, Spark, or equivalent — and building AI applications on top of lakehouse or warehouse architectures. - Track record as a technical lead: driving architectural decisions, writing RFCs, and raising the quality bar across a team without relying on management authority. Nice to have - Prior experience in People Tech, HR tech, or internal tooling domains. - Familiarity with Workday, Greenhouse or similar enterprise HR platforms — especially via API or integration layer. - Experience evaluating and red-teaming LLM agents for safety, reliability, and correctness in sensitive business contexts. 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 $192,000 - $260,000 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . 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 Fullstack Engineer, Agentic Applications
P-1477 The Agentic Applications team at Databricks is on an ambitious journey to transform how we run the business. Our mission is to build resilient, in-house platforms and AI-powered capabilities that provide a genuine competitive advantage, powering our next doubling in size and revenue. As a Staff Software Engineer on the Agentic Applications team, you will play a critical role delivering end-to-end applications that power our business and empower our employees with truly assistive technologies. You will be responsible for defining the technical roadmap, designing critical software systems, raising the bar on engineering excellence, mentoring junior engineers, and tackling the most challenging technical issues facing the team. You will be the technical leader for a team of software engineers. The impact you’ll have : - Define the technical strategy and roadmap for building in-house solutions for critical internal workflows - Partner closely with product management, design, and other engineering teams to build end-to-end, AI-powered solutions - Eliminate technical risk by solving the most technically challenging issues or tackling the most complex development tasks facing the team - Drive team best practices for engineering excellence, including design quality, operational reviews, testing strategies, and incident management. What we look for: - 12+ years of software engineering experience, with a strong track record of technical leadership and impact. - 3+ years of engineering leadership experience, serving as the technical owner for the software systems owned by your team. - Experience designing and building end-to-end, full-stack cloud-native applications - Customer obsession and product engineering mindset - Strong communication skills and ability to influence technical and business stakeholders - History of raising the engineering quality bar, focus on execution and operational rigor - Strong ability to collaborate across product, engineering, and business teams to align technical strategy with company business objectives. - Passion for the data intelligence space. Why Join Us? - Work on high-impact, high-visibility initiatives that directly contribute to Databricks' growth trajectory. - Lead and mentor a talented team of engineers solving challenging, customer-centric problems. - Drive innovation in a fast-paced, data-driven environment where your work shapes the future of the company. If you are passionate about building AI-powered solutions for running the business, we would love to hear from you! 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 $192,000 - $260,000 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . 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 Fullstack Engineer
P-925 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. As a Senior Frontend Engineer, you will work with your team and product management to make insights from data simple. We are looking for engineers that are customer obsessed, who can take on the full scope of the product and user experience beyond the technical implementation. You'll set the foundation for how we build robust, scalable and delightful products. Below are some example experiences you'll create for our customers to achieve the full project lifecycle from loading data, visualizing results, creating statistical models, and deploying as production artifacts. - Simple workflows to create, configure, and manage large-scale compute clusters, networks and data sources. - Create, deploy, test, and upgrade complex data pipelines with powerful features to visualize data graphs. - Seamless onboarding and management for all members of an organization to become data-driven. - Provide a great SQL-centric data exploration and dashboarding experience on Databricks - An interactive environment for collaborative data projects at massive scale with an easy path to production. What we look for: - 5+ years of experience with HTML, CSS, and JavaScript - Experience leading large multi-quarter efforts with a demonstrated customer or business impact - Passion for user experience and design and an understanding of front-end architecture - Comfortable working towards a multi-year vision with incremental deliverables - Motivated by delivering customer value - Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember) - Familiarity with server-side web technologies is a plus - Knowledge of (and a passion for) current trends and best practices in front-end architecture, including performance, accessibility, security and usability - Experience building large-scale products Benefits - Comprehensive health coverage including medical, dental, and vision - 401(k) Plan - Equity awards - Flexible time off - Paid parental leave - Family Planning - Gym reimbursement - Annual personal development fund - Work headphones reimbursement - Employee Assistance Program (EAP) - Business travel accident insurance - Mental wellness resources 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 $192,000 - $260,000 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . 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 Frontend Engineer - UI Platform - 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. As a Staff Frontend Engineer, you will work with your team and product management to make insights from data simple. We are looking for engineers that are customer obsessed, who can take on the full scope of the product and user experience beyond the technical implementation. You'll set the foundation for how we build robust, scalable and delightful products. Below are some example experiences you'll create for our customers to achieve the full project lifecycle from loading data, visualizing results, creating statistical models, and deploying as production artifacts. - Design and ship reusable UI primitives and component patterns that behave consistently across consoles, enabling a write‑once, run‑anywhere model. - Define application bootstrapping and cross‑surface navigation primitives that abstract console boundaries while enforcing correct AuthZ and routing. - Deliver unified frontend data clients and service components. - Create, deploy, test, and upgrade platform components that power complex frontend data exploration and visualization experiences. - Provide reference patterns, templates, and tests that standardize portability, reduce rework, and accelerate delivery of cross-surface features. - Partner with feature teams to land single‑console experiences and migrations on the platform (from pilot pages to scaled adoption). What we look for: - 10+ years of experience with HTML, CSS, and JavaScript/TypeScript - Experience leading large multi-quarter efforts with a demonstrated customer or business impact - Passion for user experience and design and an understanding of front-end architecture - Comfortable working towards a multi-year vision with incremental deliverables - Motivated by delivering customer value - Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember) - Familiarity with server-side web technologies is a plus - Knowledge of (and a passion for) current trends and best practices in front-end architecture, including performance, accessibility, security and usability - Experience building large-scale products Benefits - Comprehensive health coverage including medical, dental, and vision - 401(k) Plan - Equity awards - Flexible time off - Paid parental leave - Family Planning - Gym reimbursement - Annual personal development fund - Work headphones reimbursement - Employee Assistance Program (EAP) - Business travel accident insurance - Mental wellness resources 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 $181,000 - $261,000 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . 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 Forward Deployed Engineer
CSQ427R195 As a Staff FDE in our Professional Services team, you will partner with a diverse range of customers to tackle their big data challenges using the Databricks Platform. In this customer-focused role, you will act as a trusted advisor, delivering tailored solutions in data engineering and data science across multiple cloud environments, ensuring successful outcomes for our clients. You come with a strong product development mindset and deliver robust and scalable automation utilities that can be adopted by multiple customers across the domains. You bring in a strong AI focused problem solving skills yet secure and proven guardrails that can be leveraged by the customers across different sectors. The impact you will have: - Collaborate on impactful customer big data projects, such as creating reference architectures, developing how-to guides, and building production-ready efficient, robust and scalable tools and technologies. - Advise strategic customers on transformational big data initiatives, including third-party migrations and the complete design, build, and deployment of cutting-edge big data and AI applications. - Provide expertise in architecture and design, and support key customer projects to ensure successful adoption and integration of Databricks solutions. - Partner with Engineering and Customer Support teams to deliver feedback, resolve engagement-specific issues, and drive continuous product improvements. - Simultaneously manage and guide multiple diverse projects, ensuring adherence to well-architected principles and quality standards, proactively identifying and mitigating risks, and building strong customer trust. What we look for: - 15+ years experience with Big Data Technologies such as Apache Spark™, Kafka, Cloud Native and Data Lakes in a customer-facing post-sales, technical architecture or consulting role - 6+ years of experience working on Big Data Architectures independently - 2+ years of experience working on AI based implementations including RAG, MCP, Context engineering etc . - Strong experience working in the Databricks ecosystem - Comfortable writing code in either Python or Scala . - Experience working across Cloud Platforms ( GCP / AWS / Azure ) - Documentation and white-boarding skills. - Excellent problem solving and critical thinking skills that turn business problems in to reliable technical products - Build skills in technical areas that support the deployment and integration of Databricks-based solutions to complete customer projects. - Excellent stakeholder management skills to collaborate with both technical and domain experts - Highly customer-obsessed, innovative and think beyond the current world and come up with innovative solutions that can last long in the GenAI world About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . 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 Enterprise Security Engineer
RDQ227R1176 While candidates in the listed location(s) are encouraged for this role, candidates in other locations (US based) will be considered. Mission Databricks is hiring an L6 Staff Enterprise Security Engineer to expand Enterprise Security coverage across a rapidly evolving enterprise and product environment. This role will focus on securing enterprise applications, cross-system integrations, data flows, and emerging AI-adjacent use cases. The scope includes partnership with the Data team on corporate production development within the Databricks platform, through security reviews of implementation designs, hardening, configuration oversight, and broader enterprise data-security discussions, as well as modern access patterns such as MCP, integration, and trust boundary security, security automation, and broader security engineering support across enterprise platforms and services. This engineer will help identify risk, define practical security requirements, and improve security outcomes through strong technical judgment, hands-on engineering, and cross-functional partnership. Opportunity This role sits at the intersection of enterprise architecture, security engineering, product security partnership, and business enablement. Corporate production development within the Databricks platform remains owned by the Data team; EntSec defines how we engage, reviewing implementation designs, configurations, and data flows as capabilities are built, alongside ongoing enterprise application and integration reviews. The engineer will assess new technologies, integrations, and workflows with an emphasis on secure design, authentication and authorization, data handling, logging, third-party connectivity, API and token security, and operational resilience. The role partners closely with Product Engineering, IT, Legal Privacy, and business stakeholders to surface risk early, set clear requirements, and build automation that scales security coverage. This is a strong opportunity to help shape how Enterprise Security supports Databricks product development, enterprise data security, SaaS, and internal platforms, automation, and AI-connected systems as the environment continues to grow in complexity. Requirements - 8+ years of experience in security engineering, enterprise security, application security, cloud security, or a related field. - Experience conducting security design or architecture reviews for product features, enterprise applications, SaaS platforms, integrations, or internally developed systems. - Hands-on familiarity with the Databricks platform or comparable data/AI platforms (Unity Catalog, workspace governance, service principals, data access patterns). - Strong understanding of authentication, authorization, SSO, federation, SCIM, API security, token handling, secrets management, and least privilege design. - Experience assessing data flows, third-party integrations, trust boundaries, logging and monitoring, and security controls across interconnected systems. - Proven track record building security automation in production: monitoring, posture checks, review workflows, or tooling (Python, SQL, Terraform, or similar). - Ability to evaluate risk in modern enterprise environments, including automation platforms, AI-adjacent workflows, and emerging integration patterns such as MCP. - Strong written and verbal communication skills, including the ability to translate technical risk into clear requirements and actionable guidance. - Experience driving security outcomes through engineering judgment, influence, and scalable process improvement. - Familiarity with cloud platforms, enterprise identity systems, and core control domains such as audit logging, encryption, access control, data retention, and incident response. Outcomes - OUTCOME 1: Establish a consistent EntSec engagement model with the Data team on corporate production development within the Databricks platform: security review of implementation designs, hardening guidance, configuration oversight, and tracked remediation, while Data retains ownership of product development and delivery. - OUTCOME 2: Strengthen security practices across enterprise applications, integration, and data-security reviews by identifying key risks early, improving requirement quality, and helping teams address security issues earlier in the lifecycle, including AI-adjacent workflows, data flows, and integration patterns. - OUTCOME 3: Build automation and agent capabilities, including SSPM-style controls and Security AI Personas, that help secure systems from the start, reduce dependency on manual review, and embed security guidance earlier in product and integration lifecycles. Competencies - COMPETENCY 1: Product and Design Security Partnership. Partners effectively with product and engineering teams to review implementation designs, surface risk early, and drive practical security requirements without owning product delivery. - COMPETENCY 2: Data Security and Technical Judgment. Applies strong security judgment to data flows, platform configurations, access patterns, and enterprise data-security decisions on and across the Databricks platform. - COMPETENCY 3: Security Automation and Scalable Engineering. Builds durable automation, monitoring, and tooling that scales EntSec coverage and reduces repeated manual work. 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 $194,800 - $267,850 USD Zone 2 Pay Range $175,400 - $241,100 USD Zone 3 Pay Range $165,600 - $227,700 USD Zone 4 Pay Range $155,800 - $214,300 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . 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 Employee Relations Manager, APAC
GAQ127R86 Mission This is your chance to make an impact with our growing team! You will partner with leaders across the organization as a strategic partner, consultant, and steward of the overall employee experience. You'll be a trusted advisor and partner in continued development of the employee relations function as we search scalable solutions to support our rapid growth. Under the guidance of and through a partnership with the Employee Relations Director, you will be an ambassador for our overall principles, values, programs and policies, driving a global, diverse, performance-based work environment. The impact you will have: - Consult with managers and people generalists, providing guidance to address the most complex employee performance concerns. - Conduct investigations, including gathering and analyzing facts, applying relevant policies, guidelines and laws to reaching findings. - Partner with Employment Legal, Compliance team members and other internal investigative bodies as needed. - Prepare investigation reports, track work in case management system and draft disciplinary documentation as needed. - Partner with our People Partner team to manage investigations, employee disciplinary issues, and performance management situations - Employee Representative Bodies Management: You will build and maintain relationships with an evolving scope of Employee Representative Bodies, ensuring that those relationships are productive, and promoting the company’s ability to move with speed and flexibility. What we look for: - Atleast 10 years of experience in the Employee Relations vertical. - Considerable depth of Employee Relations experience with a focus on strategic partnership with managers up through the Senior Director level. - Ability to multi-task, deal with ambiguity, influence decision-makers and work collaboratively in a team environment. - Demonstrated proficiency in advising and coaching managers on complex employee issues. - Direct experience in conducting corporate investigations of sensitive workplace concerns. - Capability to coordinate internal resources in solution development for emerging issues. - Experience with Works Councils/Employee Representative Boards - Bachelor’s degree required. Law degree or graduate degree in labor/industrial relations desired. - Multi-Language skills a plus. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . 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 Designated Support Engineer
P-1554 As a Staff Technical Designated Engineer and tech subject matter expert, you will partner closely with our Field and Engineering teams to deliver high-touch specialized support and tailored technical solutions for Databricks' largest and most strategic customers in the Digital Native Business (DNB) segment. In this customer-facing role, you will leverage your technical expertise in Apache Spark™ and other data technologies to triage and resolve complex product issues and unblock our customers’ most critical technical challenges. The Impact You Will Have - Perform advanced Troubleshooting and Root Cause Analysis to resolve performance and reliability issues in Spark, SQL, Delta, Streaming, and Databricks runtime features using tools like Spark UI metrics, Mosaic AI Model Service, DAGs, and event logs. - Discover requirements for continuous monitoring to detect early performance issues working with R&D and NOC teams to optimize the DNB customer environments. - Build Rapid POCs, Test/Deploy/Monitor the solutions built by Databricks Engineering to address customer challenges and showcase advanced Spark/ML/AI runtime capabilities aligned with their business goals. - Develop comprehensive playbooks and maintain a knowledge base of common issues and solutions for Spark, ML, and AI workflows. - Train customer engineering and business teams on best practices in performance tuning, debugging, and effectively leveraging Databricks Features. - Pilot new best practices processes/ programs, champion process improvements, and collaborate with cross-functional teams to enhance the customer experience. - Advocate for customers in business review meetings and maintain close relationships as a trusted advisor and primary technical point of contact. - Collaborate onsite with Field Engineering, Sales, and Product teams during customer engagements and technical presentations to provide rapid solutions to production-impacting issues, demonstrating deep technical expertise and building strong customer trust. What We Look For - Technical Expertise in Big Data and Spark: 8–12 years of experience designing, building, and troubleshooting distributed computing applications, with 4+ years delivering production-scale Spark/ML/AI solutions using Python, Java, or Scala. - Data Engineering Specialization: Hands-on expertise with Data Lakes, SQL-based databases, and Cloud-based Data Warehousing/ETL tools like Snowflake, Redshift, Bigquery, etc - Advanced Tech Skills : Deep knowledge of Spark core internals, Delta/Iceberg, JVM optimization, and memory management, with additional proficiency in AI ecosystems like Machine Learning, Deep Learning, and Generative AI. - Cloud and CI/CD Skills: Practical experience with AWS, Azure, or GCP, coupled with expertise in building and managing CI/CD pipelines, monitoring, and alerting systems. - Customer-Facing Experience: 3–5 years in customer-facing roles such as Technical Account Manager or Solutions Architect, demonstrating strong communication, relationship-building, and problem-solving skills. - Advanced Proactive Problem Solving Skills : Proven ability to anticipate, identify, and mitigate risks while planning solutions for production challenges. Effectively use sound business judgment, risk avoidance and subject matter expert resources to coordinate team efforts to solve problems. - Collaboration and Leadership: Proven ability to work with cross-functional teams and senior leadership to address roadblocks, mitigate risks, and drive customer success while creating impactful documentation for self-service solutions. - Language Skills: Fluent Japanese and business-level English are required. 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 . 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. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . 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 Designated Support Engineer
P-1011 Job Location: San Francisco Bay Area, CA As a Sr. Staff Technical Solutions Engineer and tech subject matter expert, you will partner closely with our Field and Engineering teams to deliver high-touch specialized support and tailored technical solutions for Databricks' largest and most strategic customers in the Digital Native Business (DNB) segment. In this customer-facing role, you will leverage your technical expertise in Apache Spark™ and other data technologies to triage and resolve complex product issues and unblock our customers’ most critical technical challenges. The Impact You Will Have - Perform advanced Troubleshooting and Root Cause Analysis to resolve performance and reliability issues in Spark, SQL, Delta, Streaming, and Databricks runtime features using tools like Spark UI metrics, Mosaic AI Model Service, DAGs, and event logs. - Discover requirements for continuous monitoring to detect early performance issues working with R&D and NOC teams to optimize the DNB customer environments. - Build Rapid POCs, Test/Deploy/Monitor the solutions built by Databricks Engineering to address customer challenges and showcase advanced Spark/ML/AI runtime capabilities aligned with their business goals. - Develop comprehensive playbooks and maintain a knowledge base of common issues and solutions for Spark, ML, and AI workflows. - Train customer engineering and business teams on best practices in performance tuning, debugging, and effectively leveraging Databricks Features. - Pilot new best practices processes/ programs, champion process improvements, and collaborate with cross-functional teams to enhance the customer experience. - Advocate for customers in business review meetings and maintain close relationships as a trusted advisor and primary technical point of contact. - Collaborate onsite with Field Engineering, Sales, and Product teams during customer engagements and technical presentations to provide rapid solutions to production-impacting issues, demonstrating deep technical expertise and building strong customer trust. What We Look For - Technical Expertise in Big Data and Spark: 8–12 years of experience designing, building, and troubleshooting distributed computing applications, with 4+ years delivering production-scale Spark/ML/AI solutions using Python, Java, or Scala. - Data Engineering Specialization: Hands-on expertise with Data Lakes, SQL-based databases, and Cloud-based Data Warehousing/ETL tools like Snowflake, Redshift, Bigquery, etc - Advanced Tech Skills : Deep knowledge of Spark core internals, Delta/Iceberg, JVM optimization, and memory management, with additional proficiency in AI ecosystems like Machine Learning, Deep Learning, and Generative AI. - Cloud and CI/CD Skills: Practical experience with AWS, Azure, or GCP, coupled with expertise in building and managing CI/CD pipelines, monitoring, and alerting systems. - Customer-Facing Experience: 3–5 years in customer-facing roles such as Technical Account Manager or Solutions Architect, demonstrating strong communication, relationship-building, and problem-solving skills. - Advanced Proactive Problem Solving Skills : Proven ability to anticipate, identify, and mitigate risks while planning solutions for production challenges. Effectively use sound business judgment, risk avoidance and subject matter expert resources to coordinate team efforts to solve problems. - Collaboration and Leadership: Proven ability to work with cross-functional teams and senior leadership to address roadblocks, mitigate risks, and drive customer success while creating impactful documentation for self-service 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 $141,700 - $250,800 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . 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 Designated Support Engineer
P-1553 As a Staff Designated Engineer and tech subject matter expert, you will partner closely with our Field and Engineering teams to deliver high-touch specialized support and tailored technical solutions for Databricks' largest and most strategic customers in the Digital Native Business (DNB) segment. In this customer-facing role, you will leverage your technical expertise in Apache Spark™ and other data technologies to triage and resolve complex product issues and unblock our customers’ most critical technical challenges. The Impact You Will Have - Perform advanced Troubleshooting and Root Cause Analysis to resolve performance and reliability issues in Spark, SQL, Delta, Streaming, and Databricks runtime features using tools like Spark UI metrics, Mosaic AI Model Service, DAGs, and event logs. - Discover requirements for continuous monitoring to detect early performance issues working with R&D and NOC teams to optimize the DNB customer environments. - Build Rapid POCs, Test/Deploy/Monitor the solutions built by Databricks Engineering to address customer challenges and showcase advanced Spark/ML/AI runtime capabilities aligned with their business goals. - Develop comprehensive playbooks and maintain a knowledge base of common issues and solutions for Spark, ML, and AI workflows. - Train customer engineering and business teams on best practices in performance tuning, debugging, and effectively leveraging Databricks Features. - Pilot new best practices processes/ programs, champion process improvements, and collaborate with cross-functional teams to enhance the customer experience. - Advocate for customers in business review meetings and maintain close relationships as a trusted advisor and primary technical point of contact. - Collaborate onsite with Field Engineering, Sales, and Product teams during customer engagements and technical presentations to provide rapid solutions to production-impacting issues, demonstrating deep technical expertise and building strong customer trust. What We Look For - Technical Expertise in Big Data and Spark: 8–12 years of experience designing, building, and troubleshooting distributed computing applications, with 4+ years delivering production-scale Spark/ML/AI solutions using Python, Java, or Scala. - Data Engineering Specialization: Hands-on expertise with Data Lakes, SQL-based databases, and Cloud-based Data Warehousing/ETL tools like Snowflake, Redshift, Bigquery, etc - Advanced Tech Skills : Deep knowledge of Spark core internals, Delta/Iceberg, JVM optimization, and memory management, with additional proficiency in AI ecosystems like Machine Learning, Deep Learning, and Generative AI. - Cloud and CI/CD Skills: Practical experience with AWS, Azure, or GCP, coupled with expertise in building and managing CI/CD pipelines, monitoring, and alerting systems. - Customer-Facing Experience: 3–5 years in customer-facing roles such as Technical Account Manager or Solutions Architect, demonstrating strong communication, relationship-building, and problem-solving skills. - Advanced Proactive Problem Solving Skills : Proven ability to anticipate, identify, and mitigate risks while planning solutions for production challenges. Effectively use sound business judgment, risk avoidance and subject matter expert resources to coordinate team efforts to solve problems. - Collaboration and Leadership: Proven ability to work with cross-functional teams and senior leadership to address roadblocks, mitigate risks, and drive customer success while creating impactful documentation for self-service solutions. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . 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 Data Scientist - Trust and Safety
RDQ426R282 Databricks is building the world's best and most secure platform for data and AI. We innovate and deploy industry-leading solutions in security, compliance, and governance. As a member of the Trust and Safety Data Science team, you will work on projects critical to ensuring the security and compliance of the Databricks Platform. Our customers depend on Databricks to keep their data safe, all while orchestrating millions of virtual machines across three clouds in dozens of regions around the globe. Our engineering teams build highly technical products that fulfill real, important needs in the world. We always push the boundaries of data and AI technology, while simultaneously operating with the security and scale that is critical to making customers successful on our platform. We serve many companies with varying security and compliance needs. To efficiently serve these markets, we need to understand how customers use our existing features. This requires data-driven analysis of all aspects of security programs at Databricks. Customers also trust Databricks with their most valuable data and we have the mission to build the most trusted data analytics and ML platform in the world. We’re looking to expand our Trust and Safety Data Science team. You will join a group of “full stack” data scientists who partner with engineering and security teams, focusing on strategic plans that make Databricks secure and safe for our customers. The team will use statistical and machine learning techniques for fraud and abuse detection on our platforms using state of the art methods . You can read more about some of our efforts in this blog post . The work in fraud and abuse detection is dynamic and essential, offering an opportunity to make a substantial impact in maintaining the security and efficiency of business operations. More information is available at https://www.databricks.com/trust . The impact you will have: - You will develop and implement Machine Learning models to detect anomalous activity in products that we offer. - You will analyze the performance and pricing of security-related features and work with product and engineering teams to identify important opportunities. - You will collaborate with security engineers, trust and safety experts, and machine learning engineers to build a variety of systems and tools that protect Databricks and our customers from threats. - You will create solutions and frameworks to meet compliance requirements at Databricks - You will gather requirements, define project OKRs and milestones, and communicate progress to both technical and non-technical audiences. - You will guide junior data scientists and interns on the team by helping with project planning, technical decisions, and code and document review. - You will represent the data science discipline throughout the organization, using your powerful voice to make us more data-driven. - You will represent Databricks at academic and industrial conferences and events. What we look for: - 7+ years of data science, machine learning, and advanced analytics experience in high-velocity, high-growth companies - Understanding of good software engineering practices around testing, code reviews, and deployment. - Experience working in a highly cross functional alignment and talking about results to non-technical partners. - Experience deploying Data Science / ML solutions in production to achieve results. - Coding skills in SQL and a software development language (preferably Python) - Experience with distributed data processing systems like Spark and familiarity with software engineering principles. - Prior experience applying machine learning and data analytics to identify SaaS product misuse and enhance compliance preferred but not required. - Masters or higher in quantitative fields or equivalent experience in industry 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 $192,000 - $260,000 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . 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 Data Scientist - Infrastructure
P-57 At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems. 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 own missions. Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, California to a global organization with over 1000 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. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is critical to making customers successful on our platform. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. As a Data Scientist on the Data Team, you will help build a data-driven culture within Databricks by helping work on top priorities for the company. The Data team also functions as an in-house, production "customer" that dog foods Databricks and drives the future direction of the products. The impact you will have: - “ Analysis at the speed of thought ”: Inform decision making by building robust data science tooling for business leaders, analysts, and other data scientists. - “ Extend capabilities of Databricks ”: Work closely with Data Platform and Product Engineering teams to integrate data science tooling with existing Data team offerings and the core product - “ Strategic business insights ”: Lead insight generation for top company priorities, and key Engineering initiatives (reliability, and efficiency). - Gather changing requirements, define project OKRs and milestones, and communicate progress and results to both technical and non-technical audiences. - Mentor and guide junior data scientists on the team by helping with project planning, technical decisions, and code and document review. - Represent the data science discipline throughout the organization, having a powerful voice to make us more data-driven. - Represent Databricks at academic and industrial conferences & events. What we look for: - 7+ years of data science, machine learning, advanced analytics experience in high velocity, high-growth companies - Extensive experience in applying Data Science / ML in production to build data-driven products for solving business problems. - Experience collaborating with and understanding the needs of Senior level stakeholders from a variety of functions including: Engineering, Product, and Technical Operations. - Ability to deal with ambiguity in fast paced environments by clarifying requirements and having a keen sense of 0 to 1 solutions. - Adept at operating both as an individual contributor and identifying how to orchestrate the build through peers and investments in scalable tooling. - Strong coding skills in Python and SQL - Experience with distributed data processing systems like Spark and familiarity with software engineering principles around testing, code reviews and deployment. - M.S. or Ph.D. in quantitative fields (e.g., Statistics, Math, Computer Science, Physics, Economics, Operational Research or Engineering) 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 $192,000 - $260,000 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . 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 Data Scientist
P-57 At Databricks, we are obsessed with enabling data teams 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 Intelligence Platform, so our customers can focus on the high value challenges that are central to their own missions. Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, California to a global organization with over 1000 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. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is critical to making customers successful on our platform. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. As a Data Scientist on the Data Team, you will help build a data-driven culture within Databricks by helping solve product and business challenges. The Data team also functions as an in-house, production "customer" that dogfoods Databricks and drives the future direction of the products. The impact you will have: - Shape the direction of some of our key data science areas - segmentation, recommendation systems, forecasting, product analytics, churn prediction and insights. - Work closely with Engineering, Product Management, Sales and Customer Success to understand product usage patterns and trends and make data-driven decisions, recommendations and forecasts. - Manage stakeholders for their focus area - gather changing requirements, define project OKRs and milestones, and communicate progress and results to a non-technical audience. - Mentor and guide junior data scientists on the team by helping with project planning, technical decisions, and code and document review. - Represent the data science discipline throughout the organization, having a powerful voice to make us more data-driven - Build self-serving internal data products to make data simple within the company. - Represent Databricks at academic and industrial conferences & events. What we look for: - 7+ years of data science, machine learning, advanced analytics experience in high velocity, high-growth companies - Extensive experience in applying Data Science / ML for the end-to-end development and deployment of data-driven products for solving business problems. - Familiarity with product data science - understanding and tracking customer and user behavior using lenses like adoption, churn, cohorts, segmentation and funnel analysis. - Experience collaborating with and understanding the needs of stakeholders from a variety of business functions. We work most closely with Product, Sales and Engineering at the moment, but also work with the Marketing and Finance organizations. - Strong coding skills in general purpose languages like Scala or Python, and familiarity with software engineering principles around testing, code reviews and deployment. - Proficient in data analysis and visualization using tools like R and Python. - Experience with distributed data processing systems like Spark, and proficiency in SQL. - MS or Ph.D. in quantitative fields (e.g., Statistics, Math, Computer Science, Physics, Economics, Operational Research or Engineering) 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 $192,000 - $260,000 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . 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 Backend Software Engineer- (AI Platform)
P-1428 At Databricks, we are passionate about enabling data and AI 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. And we're only getting started. As part of the AI Platform team, you’ll build the substrate that powers everything from data apps, AI agents, model training, model serving, and vector search. You’ll be joining a high-agency, high-visibility team operating at the frontier of AI infrastructure — with deep ties to research, product, and real-world enterprise use cases. Databricks Mosaic AI is one of our fastest-growing businesses helping thousands of our customers democratize AI within their organizations. We’re building the infrastructure that powers the next generation of AI. We’re hiring across multiple teams in our AI Engineering org including: The impact you will have: - Build infrastructure that powers our flagship offerings like MLflow, AI Gateway, Databricks Apps, Agent Framework, Agent Bricks, and Foundation Model APIs, to state a few. - Improve reliability, latency, and efficiency of distributed AI workloads - Collaborate with platform, infra, and ML teams to deliver seamless end-to-end experiences - Shape how developers and data scientists build and interact with AI on Databricks What we look for: - 5+ years of experience in backend or infrastructure engineering - Strong programming skills in Scala, Go, or Python - Experience with distributed systems, scalable APIs, or cloud-native infrastructure - Familiarity with service-oriented architecture, deployment pipelines, and system observability - Strong product and ownership mindset — you care about building the right solution, not just any solution Bonus points for: - Experience with real-time serving, ML infrastructure, or GPU orchestration - Exposure to platforms like SageMaker, Vertex AI, or Azure ML - Contributions to OSS projects like MLflow, PyTorch, or Ray - Built developer platforms or internal tools supporting AI workflows 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 $166,000 - $225,000 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . 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 Backend Software Engineer- (AI Platform)
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. Databricks’ Model Serving product provides enterprises with a unified, scalable, and governed platform to deploy and manage AI/ML models — from traditional ML to fine-tuned and proprietary large language models. It offers real-time, low-latency inference, governance, monitoring, and lineage. As AI adoption accelerates, Model Serving is a core pillar of the Databricks platform, enabling customers to operationalize models at scale with strong SLAs and cost efficiency. As a Staff Engineer, you’ll play a critical role in shaping both the product experience and the foundational infrastructure of Model Serving. You will design and build systems that enable high-throughput, low-latency inference across CPU and GPU workloads, influence architectural direction, and collaborate closely across platform, product, infrastructure, and research teams to deliver a world-class serving platform. The impact you will have: - Design and implement core systems and APIs that power Databricks Model Serving, ensuring scalability, reliability, and operational excellence. - Partner with product and engineering leadership to define the technical roadmap and long-term architecture for serving workloads. - Drive architectural decisions and trade-offs to optimize performance, throughput, autoscaling, and operational efficiency for CPU and GPU serving workloads. - Contribute directly to key components across the serving infrastructure — from model container builds and deployment workflows to runtime systems like routing, caching, observability, and intelligent autoscaling — ensuring smooth and efficient operations at scale. - Collaborate cross-functionally with product, platform, and research teams to translate customer needs into reliable and performant systems. - Lead technical initiatives that improve latency, availability, and cost-effectiveness across both customer-facing and foundational serving layers. - Establish best practices for code quality, testing, and operational readiness, and mentor other engineers through design reviews and technical guidance. - Represent the team in cross-organizational technical discussions and influence Databricks’ broader AI platform strategy. What we look for: - 10+ years of experience building and operating large-scale distributed systems. - Deep expertise in model serving, inference systems, and related infrastructure (e.g., routing, scheduling, autoscaling, and observability). - Strong foundation in algorithms, data structures, and system design as applied to large-scale, low-latency serving systems. - Proven ability to deliver technically complex, high-impact initiatives that create measurable customer or business value. - Experience leading architecture for large-scale, performance-sensitive CPU/GPU inference systems. - Strong communication skills and ability to collaborate across teams in fast-moving environments. - Strategic and product-oriented mindset with the ability to align technical execution with long-term vision. - Passion for mentoring, growing engineers, and fostering technical excellence. 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 $192,000 - $260,000 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . 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 Backend Software Engineer- (AI Platform)
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. Databricks’ Model Serving product provides enterprises with a unified, scalable, and governed platform to deploy and manage AI/ML models — from traditional ML to fine-tuned and proprietary large language models. It offers real-time, low-latency inference, governance, monitoring, and lineage. As AI adoption accelerates, Model Serving is a core pillar of the Databricks platform, enabling customers to operationalize models at scale with strong SLAs and cost efficiency. As a Senior Engineer, you’ll play a critical role in shaping both the product experience and the foundational infrastructure of Model Serving. You will design and build systems that enable high-throughput, low-latency inference across CPU and GPU workloads, influence architectural direction, and collaborate closely across platform, product, infrastructure, and research teams to deliver a world-class serving platform. The impact you will have: - Design and implement core systems and APIs that power Databricks Model Serving, ensuring scalability, reliability, and operational excellence. - Drive architectural decisions and trade-offs to optimize performance, throughput, autoscaling, and operational efficiency for CPU and GPU serving workloads. - Contribute directly to key components across the serving infrastructure — from model container builds and deployment workflows to runtime systems like routing, caching, observability, and intelligent autoscaling — ensuring smooth and efficient operations at scale. - Collaborate cross-functionally with product, platform, and research teams to translate customer needs into reliable and performant systems. - Lead technical initiatives that improve latency, availability, and cost-effectiveness across both customer-facing and foundational serving layers. - Establish best practices for code quality, testing, and operational readiness, and mentor other engineers through design reviews and technical guidance. What we look for: - 5+ years of experience building and operating large-scale distributed systems. - Experience in model serving, inference systems, or related infrastructure (e.g., routing, scheduling, autoscaling, and observability). - Strong foundation in algorithms, data structures, and system design as applied to large-scale, low-latency serving systems. - Proven ability to deliver technically complex, high-impact initiatives that create measurable customer or business value. - Experience building architecture for large-scale, performance-sensitive CPU/GPU inference systems. - Strong communication skills and ability to collaborate across teams in fast-moving environments. - Customer-focused mindset with the ability to align implementation details with product goals. - Passion for mentoring, growing engineers, and fostering technical excellence. 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 $166,000 - $225,000 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . 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 Backend Software Engineer- (AI Platform)
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. Foundation Model Serving is the API Product for hosting and serving frontier AI model inference for open source models like Llama, Qwen, and GPT OSS as well as proprietary models like Claude and OpenAI GPT. For this role, no prior ML or AI experience is necessary. We’re looking for engineers who have owned high scale operational sensitive systems like customer facing APIs, Edge Gateways, ML Inference, or similar services and have an interest in getting deep building LLM APIs and runtimes at scale. As a Staff Engineer, you’ll play a critical role in shaping both the product experience and core infrastructure. You will design and build systems that enable high-throughput, low-latency inference on GPU workloads with frontier models, influence architectural direction, and collaborate closely across platform, product, infrastructure, and research teams to deliver a world-class foundation model API product. The impact you will have: - Design and implement core systems and APIs that power Databricks Foundation Model Serving, ensuring scalability, reliability, and operational excellence. - Partner with product and engineering leadership to define the technical roadmap and long-term architecture for serving workloads. - Drive architectural decisions and trade-offs to optimize performance, throughput, autoscaling, and operational efficiency for GPU serving workloads. - Contribute directly to key components across the serving infrastructure — from working in systems like vLLM and SGLang to creating token based rate limiters and optimizers — ensuring smooth and efficient operations at scale. - Collaborate cross-functionally with product, platform, and research teams to translate customer needs into reliable and performant systems. - Establish best practices for code quality, testing, and operational readiness, and mentor other engineers through design reviews and technical guidance. - Represent the team in cross-organizational technical discussions and influence Databricks’ broader AI platform strategy. What we look for: - 10+ years of experience building and operating large-scale distributed systems. - Experience leading high-scale operationally sensitive backend systems. - A track record of up-leveling teams engineering excellence. - Strong foundation in algorithms, data structures, and system design as applied to large-scale, low-latency serving systems. - Proven ability to deliver technically complex, high-impact initiatives that create measurable customer or business value. - Strong communication skills and ability to collaborate across teams in fast-moving environments. - Strategic and product-oriented mindset with the ability to align technical execution with long-term vision. - Passion for mentoring, growing engineers, and fostering technical excellence. 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 $192,000 - $260,000 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . 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 Backend Software Engineer
P-1592 At Databricks, we are passionate about enabling data and AI 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. And we're only getting started. As part of the AI Platform team, you’ll build the substrate that powers everything from data apps, AI agents, model training, model serving, and Vector Search. You’ll be joining a high-agency, high-visibility team operating at the frontier of AI infrastructure — with deep ties to research, product, and real-world enterprise use cases. Databricks Mosaic AI is one of our fastest-growing businesses, helping thousands of our customers democratize AI within their organizations. We’re building the infrastructure that powers the next generation of AI. We’re hiring across multiple teams in our AI Engineering org, including: The impact you will have: - Build LLM infrastructure powering trillions of tokens per week for customers through partner models (OpenAI, Anthropic, Gemini) and self hosted models (Qwen, GPT-OSS, Llama) - Improve reliability, latency, and efficiency of distributed AI workloads - Collaborate with platform, infra, and ML teams to deliver seamless end-to-end experiences - Shape how developers and data scientists build and interact with AI on Databricks What we look for: - 8+ years of experience in backend or infrastructure engineering - Strong programming skills in Scala, Go, or Python - Experience with distributed systems, scalable APIs, or cloud-native infrastructure - Familiarity with service-oriented architecture, deployment pipelines, and system observability - Strong product and ownership mindset — you care about building the right solution, not just any solution Bonus points for: - Experience with real-time serving, ML infrastructure, or GPU orchestration - Exposure to platforms like SageMaker, Vertex AI, or Azure ML - Contributions to OSS projects like MLflow, PyTorch, Ray, vLLM, SGLang - Built developer platforms or internal tools supporting AI workflows 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 $190,000 - $261,250 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . 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.
Sr. Video Editor (short-form)
MKTQ227R42 Databricks is looking for a Short-Form Video Editor to join our in-house brand team. In this role, you'll own the full lifecycle of short-form video for our brand channels — from topic planning and storyboarding through editing, motion graphics, and publishing. You'll take raw footage shot by our subject matter experts (engineers, researchers, product leaders) and shape it into scroll-stopping, on-brand video that makes complex data and AI topics feel relevant, human, and shareable. We need someone who can operate editing software fluently, but who also has the creative judgment to know what makes a video work — the hook, the pacing, the caption strategy, the platform-native feel — and who understands how AI is changing both video production and content discovery. The impact you will have: - You've built a repeatable short-form content engine for Databricks' brand channels. You've established a topic pipeline and storyboarding process — pulling from blogs, launches, webinars, and exec talks — so video output is planned and proactive rather than reactive, requiring strong content marketing instincts and the ability to work independently from a brief. - You've turned raw SME footage into a recognizable, high-performing video style. Unscripted or lightly-scripted footage from engineers and executives is consistently shaped into tight, retention-optimized cuts that feel native to each platform, requiring sharp post-production editing skills and a strong eye for pacing and story. - You've made AI tools a core part of the production workflow, not a bolt-on. Turnaround time on video production has meaningfully decreased because you've integrated AI-assisted editing, transcription, captioning, and repurposing tools into daily work, while keeping a human hand on creative quality — requiring genuine fluency with modern AI video tools and the judgment to know when not to rely on them. - Databricks' short-form content is measurably easier to find and surface, including by AI answer engines. Video (and its supporting metadata, captions, and repurposed text) is produced with AIO/GEO best practices in mind, requiring a working understanding of how AI-driven discovery and recommendation systems evaluate content. - Motion graphics have elevated the brand's video content beyond straight cuts. Animated explainers, kinetic text, and simple data visualizations are a regular part of the content mix, requiring hands-on motion graphics and animation skills (e.g., After Effects). - Cross-functional partners trust you to run with a brief. Content marketing, product marketing, and executive comms treat you as an owner of the video format, not just an execution resource — requiring strong collaboration skills and consistent, on-brand judgment across a high volume of content. - Video performance data actively shapes what gets made next. You track engagement and retention metrics across channels and use them to adjust format, pacing, and topic selection over time, requiring a data-informed approach to creative decisions. What we look for: - 5+ years of professional video editing experience, ideally with in-house or agency experience producing short-form social content for a brand. - Strong portfolio demonstrating short-form editing (15–90 second formats): hook design, pacing, storytelling in compressed formats, and platform-native style. - Proficiency in professional editing software (Adobe Premiere Pro and/or DaVinci Resolve; After Effects for motion graphics). - Hands-on experience with AI-assisted video editing and production tools, and interest in keeping pace with how AI is changing the editing workflow. - Working knowledge of AIO/GEO principles and how they intersect with social content strategy — or strong aptitude and interest in developing this. - Motion graphics and animation skills: lower thirds, kinetic typography, simple data visualizations, branded templates. - Content marketing sensibility: comfortable turning a brief or a long-form asset into a short-form video concept and shot list without heavy hand-holding. - Understanding of audio editing/sound design and caption/text-overlay design for sound-off viewing. - Ability to manage multiple videos in production simultaneously and hit fast turnaround deadlines in a high-volume content environment. - Experience translating technical or B2B subject matter into accessible, engaging content is a strong plus. - Bachelor's degree in film, media, design, or related field — or equivalent experience. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected 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 $176,200 - $242,350 USD Zone 2 Pay Range $158,600 - $218,150 USD Zone 3 Pay Range $149,800 - $206,050 USD Zone 4 Pay Range $141,000 - $193,800 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . 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.
Sr. Technology Partner Director, Business Applicat...
RDQ427R507 At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems by partnering with the ISVs that drive innovation across every line of business. We enable our partners to bring deep intelligence into the critical workflows their customers rely on every day, from delivering real-time CRM behavioral insights to optimizing complex HR workforce planning. 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 own 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 8,000 employees. Thousands of organizations, from small startups to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest-growing SaaS companies in the world and one of the top 5 move valuable private companies. As the Partner Development Manager, Business Application Partnerships, you will be responsible for developing, managing, and scaling our global partner ecosystem that makes Databricks the best place to run data-and-AI-intensive workloads central to core enterprise Line of Business operations. You will build and own strategic partnerships with a set of top ISVs across CRM/CSM, HCM, Finance, ERP — building joint solutions, co-creating joint GTM plays, and helping our field and customers realize the value of combining Databricks with leading Business Application partners. The impact you will have: We are looking for someone who has previously managed Business Application ISVs at a hyperscaler or worked at a leading Business Application ISV. The role demands both technical and GTM acumen — able to work with Product and Engineering teams on integrations, as well as with Sales and Marketing teams on go-to-market execution. It is a fast-paced, cross-functional role requiring strong communication, prioritization, and presentation skills, and the ability to quickly context-switch between product, engineering, and field conversations. Success will require deep subject matter expertise in large-scale technology ecosystems, coupled with a scrappy, entrepreneurial spirit to build partnerships that establish Databricks as the best place to run Business Application workloads for years to come. - Build and own comprehensive, end-to-end partnership business plans for a portfolio of top-tier ISVs, integrating GTM strategies, product innovation roadmaps, and marketing initiatives to deliver measurable business outcomes. - Lead the end-to-end lifecycle of top ISV partnerships in the Business Applications category, from joint business planning to solution development and execution. - Drive enablement and field readiness to ensure both Databricks and partner teams can effectively position and deliver these joint offerings. - Serve as the internal voice of top partners in category, collaborating with Product, Sales, and Marketing leadership to influence our roadmap and ensure our strategy addresses the evolving needs of the Business Application landscape. What we look for: - 7+ years in product partnerships, business development, or partner management, including 5+ years focused on Business Applications or cloud ecosystems. - Proven success launching ISV integrations and GTM motions in Business Applications with hyperscalers - Deep understanding and network across Business Application ecosystems — CRM/CSM, HCM, Finance, ERP, and related workflows, and ability to develop joint value propositions that resonate with technical and business decision-makers alike. - Strong cross-functional leadership skills — able to influence Product, Engineering, Sales, Marketing, and Business Operations teams. - Experience navigating co-opetition dynamics and sensitive partner relationships. - Excellent written, verbal, and presentation skills - Grit, humility, and the ability to operate in a high-growth, founder-led environment. 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 $178,800 - $245,850 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 $161,000 - $221,300 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 $152,000 - $209,000 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . 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.
Sr Technical Solutions Engineering
About Databricks 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. And we're only getting started. The Role As data and Generative AI applications become increasingly foundational to public sector modernization and national security, safeguarding the infrastructure that powers them is paramount. Databricks is looking for a Sr Technical Solution Engineer to join our Cleared Engineering team in McLean, VA. This team sits at the critical intersection of core infrastructure operations and active platform reliability, ensuring our multi-cloud data enclaves and advanced AI software run flawlessly inside highly secure, air-gapped partitions. In this role, you will move beyond reactive ticketing to tackle complex system and network environment blocks, serving as a primary technical pillar for our secure GovCloud operations. This position offers a unique opportunity to own the operational integrity of high-side platform interactions. You will be responsible for executing sophisticated debugging, deep-dive environment analysis, and running specialized tooling and scripts to unblock internal engineering teams. Operating within a high-consequence compliance framework, you will navigate evolving operational models—including dedicated secure facility operations—while directly engineering out systemic roadblocks. If you are a sharp systems or cloud specialist looking to apply your technical expertise to the world's leading Data and AI platform within the intelligence and defense space, this role offers unmatched technical scope and mission-critical impact. The Impact You’ll Have - Ensure Platform Reliability: Drive the technical triage, infrastructure visibility, and incident resolution for Databricks’ multi-cloud data enclaves and Generative AI software running inside air-gapped environments. - Unblock Secure Engineering Pipelines: Serve as the essential secure-zone operational interface, unblocking complex GovCloud system interactions and taking on the analysis and triage burden for internal engineering teams. - Execute Advanced Tooling & Scripting: Safely execute and adapt infrastructure scripts, automation tools, and diagnostic workflows natively within secure boundaries, adhering strictly to modern access guidelines. - Optimize Environment Patching: Identify and resolve systemic environment blocks, reviewing infrastructure configurations to ensure streamlined, compliant patch deployment pipelines. - Maintain Guardrails & Compliance: Navigate and implement evolving operational frameworks within secure facilities (SCIF), ensuring all GovCloud interactions strictly meet rigorous federal security benchmarks. What We're Looking For - Minimum Qualifications - Active TS/SCI security clearance. - 5+ years of experience in Systems Engineering, Cloud Infrastructure, Support Engineering, DevSecOps, or a related technical operational role. - High-level proficiency in at least one modern language (Python, Go, Bash, or Java) with the technical aptitude to read, edit, and troubleshoot software and infrastructure code natively. - Solid baseline familiarity with Infrastructure-as-Code (IaC) tools such as Terraform or CloudFormation. - Hands-on debugging and systems administration experience inside major public cloud boundaries (specifically AWS, Azure, or GCP platforms). - Strong foundation in Linux/Unix systems engineering, containers (Docker/Kubernetes orchestration mechanics), and automated patch deployment pipelines. - Bachelor’s degree in Computer Science, Mathematics, Engineering, or equivalent practical experience. - Ability to work out of our McLean, VA secure facility, including flexibility to support 24x7 operational coverage frameworks within a SCIF environment as required. - Preferred Qualifications - Active Counterintelligence (CI) or Full Scope Polygraph (FSP). - Prior experience supporting AWS World Wide Public Sector (WWPS), Oracle Cloud Infrastructure (OCI) Federal Support, or specialized high-side defense integration environments. - Demonstrated history of navigating complex federal compliance frameworks, GovCloud boundaries, or air-gapped environment constraints. - Strong professional tenure, showing a track record of stability and ownership within complex engineering or defense-intelligence spaces. 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 $130,200 - $178,950 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . 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.
Sr Technical Solutions (Backline)
P-1529 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. As a Backline Technical Solutions Engineer, you will help our customers succeed with the Databricks Platform by resolving critical technical customer escalations and working closely with the frontline support team. You will be the technical bridge between support and engineering and the first line of defence for engineering. You will ensure that all issues are vetted by you before they reach the engineering team. You will report to the Backline Engineering Team Manager. The impact you will have: - Troubleshoot and resolve complex customer issues related to the Databricks Platform by analysing the core component metrics and logs. - Provide suggestions and best-practice guidance to improve performance in customer-specific environments and to provide product improvement feedback. - Help the support team with detailed troubleshooting guides and runbooks. - Contribute to automation and tooling initiatives to streamline daily troubleshooting. - Partner with the engineering team and spread awareness of upcoming features and releases. - Identify and contribute supportability features back into the product. - Demonstrate ownership and coordinate with engineering and escalation teams to resolve customer issues and requests. - Participate in weekend and weekday on-call rotation. What we look for: - - 7+ years of industry experience - Experience with supporting Java, Scala or Python-based applications. - Expert in scripting using Python or Shell. - Comfortable with black box troubleshooting. - Experience in troubleshooting issues related to the "Distributed Big Data Computing" environment. - Experience with SQL-based database systems. - Experience in Linux and network troubleshooting is required. - Experience with AWS, Azure or GCP related services. - A bachelor's degree in Computer Science or a related field is required About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . 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.
Sr. Technical Enablement Specialist
FEQ426R542 As a Sr. Enablement Specialist at Databricks, you will apply your expertise in enablement to lead the design, rollout, and adoption of enablement programs for Databricks Technical Support Engineers, including collaboration with Support leaders and SMEs and/or Technical Curriculum Developers. Programs in your portfolio can include onboarding and everboarding motions focused on developing and maintaining technical and soft skills for Technical Support Engineers. As a member of the Databricks Support Enablement Team, you’ll be responsible for (1) keeping up to date with the latest and greatest that Databricks has to offer when it comes to Support, (2) work with our enablement team to fully understand the business needs and requirements for Support, (3) create high-impact programs for Support, and (4) work with a team of technical enablement specialists to curate and design content needed for programs. The impact you will have: - Use your Databricks and Enablement expertise to lead the design, curate, and maintain enablement programs for Databricks Technical Support - Work with subject-matter-experts and technical enablement specialists to scope needs for new courses and updates to existing ones - Drive improvements in Support KPIs through successful enablement programs (lagging indicators) What we look for: - Experience with enablement programs for technical audiences - Experience with technical support best practices - Experience with cross-functional stakeholder management - Strong analytical skills and data-driven decision-making - [Preferred] Experience designing and developing highly technical training About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . 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.
Sr. Staff Technical Program Manager - Reliability
P-1489 About Databricks At Databricks, we are passionate about empowering data teams to tackle the world's most complex challenges — from bringing the next mode of transportation to reality to accelerating the development of medical breakthroughs. We achieve this by building and operating the world's best data and AI infrastructure platform, enabling our customers to leverage deep data insights and enhance their business. The Role We are seeking an exceptional Senior Staff Technical Program Manager (TPM) for Reliability to lead the strategy, execution, and continuous improvement of our most critical Reliability initiatives across infrastructure and product engineering teams at Databricks. As Databricks scales to support thousands of customers and the world’s most data-intensive workloads, Reliability is foundational to our mission. In this role, you will lead cross-company programs that significantly enhance the reliability, performance, and operational excellence of our multi-cloud infrastructure. This is a high-visibility, high-impact leadership role partnering closely with our most senior engineering leaders, including Reliability Program executive sponsors, senior TLs, and Engineering Managers to define Reliability strategy, set long-term goals, and execute multi-quarter programs to build the most reliable cloud platform on the planet to help our customers run their mission-critical workloads on. To be successful, you must possess a deep understanding of large-scale distributed systems, cloud infrastructure, and engineering principles that drive operational excellence. You will leverage your background to anticipate risks, shape technical direction, and deliver complex programs across product, engineering, SRE, and cloud partner teams. You will have the opportunity to: Lead Reliability Strategy + Multi-Quarter Roadmaps - Partner with senior engineering leadership to define the long-term Reliability roadmap, influence technical direction, and ensure alignment across teams. - Ensure clarity and alignment on priorities across engineering teams, including Platform Engineering, Compute Fleet Management, SRE, Security, and Cloud Partnerships. Drive Execution of Critical Reliability Programs - Own program execution end-to-end: planning, risk management, dependency mapping, trade-off decisions, status reporting, and delivery. - Identify gaps in process or architecture and work with TLs to proactively drive organizational or technical improvements. Partner Deeply with Engineering & Influence Technical Direction - Using your background in infrastructure, distributed systems, or SRE to help teams make sound design and prioritization decisions. - Facilitate alignment between cross-functional teams to ensure programs are technically grounded and execution-ready. - Bring systems thinking to diagnose reliability bottlenecks and drive improvements to scalability, fault tolerance, automation, and operational tooling. Elevate Reliability Culture Across the Organization - Drive adoption of reliability best practices across engineering teams - including error budgets, incident reviews, design-for-resilience patterns, and operational readiness. - Define and implement program governance, repeatable processes, metrics, and documentation to scale reliability efforts across teams. - Evangelize reliability expectations and engineer-empowering processes that reduce operational load and improve incident preparedness. What we look for: Required Experience & Qualifications - 10+ years of experience managing and delivering large-scale technical programs in cloud infrastructure, distributed systems, SRE, or platform engineering environments. - Experience developing infrastructure at two or more hyperscale cloud providers (e.g., AWS, Azure, GCP), with knowledge of cloud primitives, multi-AZ/region architecture, and control plane/data plane patterns. - Demonstrated success leading Reliability Programs at scale - including availability, failover, operational excellence, incident reduction, or dependency hardening. - Strong understanding of infrastructure, distributed systems, or SRE practices; previous engineering or SRE experience is highly preferred. - Experience partnering directly with senior engineering leadership to define strategy and drive large, multi-team initiatives. - Ability to translate ambiguous goals into actionable program plans with clear milestones, KPIs, and success metrics. - Demonstrated ability to manage complex cross-organizational dependencies, technical risks, and multi-quarter timelines. - Experience delivering programs across multiple clouds and/or large-scale cloud-native services. - Experience building and scaling engineering processes, operational frameworks, and stakeholder alignment mechanisms. Preferred Qualifications - Background in distributed systems engineering, SRE, platform infrastructure, or cloud services. - Experience with large-scale compute fleets, container orchestration, autoscaling, or control-plane architecture. - Familiarity with reliability methodologies such as SLOs, error budgets, chaos engineering, failure mode analysis, and incident management frameworks. - Expertise using Jira or equivalent tools for program tracking and execution. - Bachelor’s degree in Computer Science, Engineering, or related technical field; 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 . Local Pay Range $180,200 - $243,340 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . 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.
Sr. Staff Technical Program Manager - Reliability
P-1489 About Databricks At Databricks, we are passionate about empowering data teams to tackle the world's most complex challenges — from bringing the next mode of transportation to reality to accelerating the development of medical breakthroughs. We achieve this by building and operating the world's best data and AI infrastructure platform, enabling our customers to leverage deep data insights and enhance their business. The Role We are seeking an exceptional Senior Staff Technical Program Manager (TPM) for Reliability to lead the strategy, execution, and continuous improvement of our most critical Reliability initiatives across infrastructure and product engineering teams at Databricks. As Databricks scales to support thousands of customers and the world’s most data-intensive workloads, Reliability is foundational to our mission. In this role, you will lead cross-company programs that significantly enhance the reliability, performance, and operational excellence of our multi-cloud infrastructure. This is a high-visibility, high-impact leadership role partnering closely with our most senior engineering leaders, including Reliability Program executive sponsors, senior TLs, and Engineering Managers to define Reliability strategy, set long-term goals, and execute multi-quarter programs to build the most reliable cloud platform on the planet to help our customers run their mission-critical workloads on. To be successful, you must possess a deep understanding of large-scale distributed systems, cloud infrastructure, and engineering principles that drive operational excellence. You will leverage your background to anticipate risks, shape technical direction, and deliver complex programs across product, engineering, SRE, and cloud partner teams. You will have the opportunity to: Lead Reliability Strategy + Multi-Quarter Roadmaps - Partner with senior engineering leadership to define the long-term Reliability roadmap, influence technical direction, and ensure alignment across teams. - Ensure clarity and alignment on priorities across engineering teams, including Platform Engineering, Compute Fleet Management, SRE, Security, and Cloud Partnerships. Drive Execution of Critical Reliability Programs - Own program execution end-to-end: planning, risk management, dependency mapping, trade-off decisions, status reporting, and delivery. - Identify gaps in process or architecture and work with TLs to proactively drive organizational or technical improvements. Partner Deeply with Engineering & Influence Technical Direction - Using your background in infrastructure, distributed systems, or SRE to help teams make sound design and prioritization decisions. - Facilitate alignment between cross-functional teams to ensure programs are technically grounded and execution-ready. - Bring systems thinking to diagnose reliability bottlenecks and drive improvements to scalability, fault tolerance, automation, and operational tooling. Elevate Reliability Culture Across the Organization - Drive adoption of reliability best practices across engineering teams - including error budgets, incident reviews, design-for-resilience patterns, and operational readiness. - Define and implement program governance, repeatable processes, metrics, and documentation to scale reliability efforts across teams. - Evangelize reliability expectations and engineer-empowering processes that reduce operational load and improve incident preparedness. What we look for: Required Experience & Qualifications - 10+ years of experience managing and delivering large-scale technical programs in cloud infrastructure, distributed systems, SRE, or platform engineering environments. - Experience developing infrastructure at two or more hyperscale cloud providers (e.g., AWS, Azure, GCP), with knowledge of cloud primitives, multi-AZ/region architecture, and control plane/data plane patterns. - Demonstrated success leading Reliability Programs at scale - including availability, failover, operational excellence, incident reduction, or dependency hardening. - Strong understanding of infrastructure, distributed systems, or SRE practices; previous engineering or SRE experience is highly preferred. - Experience partnering directly with senior engineering leadership to define strategy and drive large, multi-team initiatives. - Ability to translate ambiguous goals into actionable program plans with clear milestones, KPIs, and success metrics. - Demonstrated ability to manage complex cross-organizational dependencies, technical risks, and multi-quarter timelines. - Experience delivering programs across multiple clouds and/or large-scale cloud-native services. - Experience building and scaling engineering processes, operational frameworks, and stakeholder alignment mechanisms. Preferred Qualifications - Background in distributed systems engineering, SRE, platform infrastructure, or cloud services. - Experience with large-scale compute fleets, container orchestration, autoscaling, or control-plane architecture. - Familiarity with reliability methodologies such as SLOs, error budgets, chaos engineering, failure mode analysis, and incident management frameworks. - Expertise using Jira or equivalent tools for program tracking and execution. - Bachelor’s degree in Computer Science, Engineering, or related technical field; 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 . Local Pay Range $189,800 - $256,160 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . 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.
Sr. Staff, Technical Program Management
GAQ327R224 About Databricks 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. And we're only getting started. The Role As the enterprise software landscape shifts from standard software-as-a-service to autonomous intelligence, Databricks is leading the charge by fundamentally transforming how an AI company runs itself. We are seeking a Sr. Staff Technical Program Manager (L7) to lead a high-impact internal incubator within our Corporate Engineering organization. Operating as a strategic, hands-on technical leader and a manager of a lean team of 3 to 4 TPMs , you will bridge the gap between internal infrastructure and cutting-edge product engineering. Your primary mission is to build Databricks' first-party agentic application platform designed to architect, deploy, and scale internal AI tools and autonomous digital agents. By driving this mission, you will eliminate corporate reliance on third-party vendors and vendor software, replacing legacy SaaS with native, highly scalable solutions built directly on top of the Databricks platform. In this role, you will act as a premier thought leader redefining the Software Development Life Cycle (SDLC) through the lens of artificial intelligence. You will partner directly with our CIO, Corporate Engineering VPs, R&D Operations, and cross-functional product teams to establish the operational connective tissue necessary to move sophisticated tools from initial concept to full Go-To-Market (GTM) readiness. This is not an administrative management role; it is an elite technical execution seat where you will architect the systems that turbocharge internal operations and unlock entirely new capabilities for thousands of Databricks employees worldwide. The Impact You’ll Have - Drive the Agentic AI Mission: Lead the end-to-end strategy, execution, and deployment of an internal agentic platform, transitioning the enterprise from a legacy third-party RFP culture to a high-velocity, in-house building culture. - Redefine the AI-Augmented SDLC: Serve as a thought leader to fundamentally re-engineer the software development lifecycle, working alongside PMs, TPMs, and SWEs to embed GenAI and intelligent automation into core operational workflows. - Scale Massive Cross-Functional Initiatives: Orchestrate large-scale, highly complex programs across multiple business units, including sophisticated corporate security-hardening programs and enterprise-wide platform migrations. - Deliver Measurable Operational Leverage: Own business and technical outcomes by establishing rigorous metrics, managing observability, and evaluating system ROI to continuously improve platform adoption, employee NPS, and organizational value. - Empower and Manage an Elite Team: Provide high-impact technical mentorship and leadership to a team of 3–4 TPMs, scaling their technical execution and championing distributed systems excellence. What We're Looking For Minimum Qualifications - 10+ years of technical program management experience leading highly complex, company-wide technical transformations within hyper-growth SaaS, cloud infrastructure, or Tier-1 technology environments. - Proven people management experience overseeing lean teams of high-performing TPMs while remaining deeply technical and maintaining a "hands-on leader" archetype. - Deep architectural and systems fluency , with a strong technical background and the ability to comfortably navigate complex engineering discussions involving distributed systems, large-scale data infrastructure, and environments like Scala. - Demonstrated experience in structural change management , specifically driving a cultural shift from software procurement (RFPs) to native product building, engineering design, and fit-gap analysis. - Exceptional executive presence and communication skills , with a track record of driving clarity out of extreme ambiguity and aligning VP- and C-level stakeholders on engineering trade-offs. - Data-driven analytical mindset with an ability to leverage data analytics (SQL, Python, or data notebooks) to map system boundaries, quantify performance metrics, and establish program KPIs. - Bachelor’s degree in Computer Science, Engineering, or a related technical discipline. Preferred Qualifications - Direct experience deploying GenAI, Large Language Models (LLMs), or autonomous agent-based capabilities inside enterprise platforms or customer-facing production workflows. - Deep familiarity with the Databricks ecosystem (Lakehouse architecture, Unity Catalog, Mosaic AI, Delta Lake) or equivalent large-scale data and AI platforms. - Experience guiding products through a full incubation lifecycle , successfully transitioning internal IT enterprise tooling into highly reliable, commercialized software assets ready for market. 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 $222,500 - $305,900 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . 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.
Sr. Staff Software Engineer - Unity Catalog Data G...
RDQ126R47 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. Databricks Unity Catalog is the industry’s only unified and open governance solution for data and AI, built into the Databricks Data Intelligence Platform. It enables data scientists, analysts, and engineers to securely discover, access, and collaborate on trusted data and AI assets across platforms. Unity Catalog enhances productivity through AI-powered governance, simplifying compliance while maximizing interoperability. We are seeking a Senior Staff Software Engineer to lead the technical direction and development of Unity Catalog’s enterprise-grade governance capabilities. In this role, you will drive the roadmap and execution of critical features that empower organizations to govern access to their Lakehouse assets at scale. Key Responsibilities - Technical Leadership : Lead the design and delivery of high-impact projects, setting standards for security, usability, performance, and scalability. Mentor senior engineers and elevate development and operational best practices across the organization. - Product Ownership: Take full ownership of the Unity Catalog Governance product, driving it from initial concept to robust, scalable solutions with measurable business impact. - Cross-Functional Influence: Collaborate with product and infrastructure teams to align technical strategy and execution, ensuring seamless integration and adoption of governance features. - Operational Excellence: Champion the development of high-quality, reliable, and easy-to-operate software. Drive operational processes that deliver a seamless customer experience that is indistinguishable from perfect. What We Look For - 15+ years of industry experience building and operating large-scale distributed systems. - Proven track record of driving initiatives focused on customer satisfaction and incremental delivery. - Deep computer science expertise (algorithms, data structures) with real-world application. - Strong leadership, communication, and cross-functional collaboration skills. - BS in Computer Science or related fields (MS/PhD preferred) - (Preferred) Experience in data governance, security, privacy, identity management, authentication, or access control. Why Join Us? - Influence the direction of industry-leading data and AI governance solutions. - Work with world-class engineers and thought leaders in a collaborative, high-impact environment. - Competitive compensation, comprehensive benefits, and opportunities for professional growth. 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 $217,000 - $312,200 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
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