Databricks is the lakehouse company. More than 7,000 organizations worldwide — including Comcast, Condé Nast, H&M, and over 40% 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. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. --- Attention: Databricks applicants Due to reports of phishing, we’re requesting that all Databricks applicants apply through our official Careers page at databricks.com/company/careers (good news — you are here). All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).

databricks

Senior Software Engineer - Frontend

Senior Software Engineer - Backend

Senior Software Engineer - Infrastructure and Tools

Software Engineering Intern

Associate Product Manager – Employee Experience GAQ426R356 Location: San Francisco, CA or Mountain View, CA About Databricks IT At Databricks, our mission is to help data teams solve the world’s toughest problems and that starts with empowering our own employees. The Databricks IT organization is a product-led team that builds intelligent, scalable systems to make every Brickster’s workday simpler, faster, and more connected. We’re reimagining how employees and managers interact with internal tools by designing a unified experience that brings together data, insights, and workflows across the company. We’re looking for an Associate Product Specialist to support the delivery of our Employee Experience product, an internal platform that brings together employment-related workflows such as onboarding, performance, compensation, and engagement into one cohesive experience. The Opportunity Employees and managers at Databricks rely on many systems to manage their day-to-day work. This team is focused on simplifying that experience by building a connected product layer that sits on top of systems of record like Workday, helping users understand what they need to do and where to go, without unnecessary friction. As an Associate Product Specialist, you’ll work closely with senior product managers, engineering, and business stakeholders to deliver well-scoped features, support discovery and execution, and grow your product management skills in a highly collaborative environment. This role is ideal for someone early in their product career who is eager to learn, take ownership of defined workstreams, and develop strong fundamentals in product thinking, execution, and stakeholder communication. What You’ll Do Support delivery of employee experience features by translating business needs into clear product requirements and user stories Write PRDs for small, well-scoped initiatives and partner with engineering to deliver high-quality solutions Participate in discovery by gathering requirements, documenting workflows, and learning how to define critical user journeys (CUJs) Lead appropriately scoped meetings with business stakeholders, with guidance from your manager or senior PMs Communicate status updates, risks, and decisions clearly to the team and stakeholders Use available data and analytics to help prioritize work and measure feature success Create basic product artifacts (presentations, docs, dashboards) with coaching and feedback What You Bring 2+ years of experience in product management, product operations, business analysis, or relevant internship experience Strong written and verbal communication skills, with the ability to explain business logic clearly Ability to follow a defined process, manage scoped deliverables, and meet deadlines Comfort working with data at a basic level — interpreting metrics, dashboards, or reports to inform decisions Familiarity with common product tools (e.g., Jira, Confluence, product roadmaps, bug tracking) Curiosity and willingness to learn new systems, tools, and domains quickly A collaborative mindset and interest in building strong working relationships across teams Why You’ll Love This Role This role offers hands-on experience building high-impact internal products that touch every employee at Databricks. You’ll learn directly from experienced product managers, gain exposure to real-world product challenges, and develop a strong foundation in product execution, stakeholder collaboration, and data-informed decision-making. You’ll join a product-led, supportive IT organization that values learning, mentorship, and growth and you’ll have the opportunity to contribute to the future of how Databricks works.&nbsp; 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.&nbsp; 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. &nbsp;Zone 1 Pay Range$98,100&mdash;$137,400 USDAbout 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&nbsp;Twitter,&nbsp;LinkedIn&nbsp;and&nbsp;Facebook.BenefitsAt 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, please visit&nbsp;https://www.mybenefitsnow.com/databricks.&nbsp; 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.

Associate Product Manager, Employee Experience

GM-4263 About This Role:&nbsp; 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. 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. Job Duties: Design, develop, and enhance a cloud-hosted SaaS platform, applying knowledge of large-scale distributed systems. Develop production-grade software using Scala, Python, and/or JavaScript; integrate with cloud services, open-source frameworks, third-party APIs, and internal APIs. Participate across the full software development lifecycle (SDLC), including system design, implementation, testing, deployment, monitoring, and ongoing production support. Architect and implement solutions that meet high standards for reliability, scalability, performance, and security in a cloud environment. Collaborate closely with software engineers, product managers, and cross-functional stakeholders to translate requirements into technical solutions. Contribute to Agile development processes, including sprint planning, code reviews, and continuous improvement initiatives. Minimum Requirements: Bachelor’s degree or foreign equivalent in Computer Science, Engineering, Information Technology or a related field and two (2) years of software engineering experience.&nbsp; Qualifying experience must include one (1) year in object-oriented programming languages including Java, Scala, Javascript, C++ or Python. Qualifying experience must also include one (1) year in at least six (6) of the following: Multithreading and asynchronous programming; Agile or Scrum methodologies; Open-source and third party APIs; Microservices-based architectures; Unit and integration testing; Running and maintaining reliable, secure and scalable services; Version control, including Git, XCode, Visual Studio, or IntelliJ; Could technologies including AWS, Azure, or GCP; Docker, Kubernetes or similar containerization tools; Databases including SQL, PostgreSQL, MongoDB, or Cassandra; Distributed systems and big data systems, including Apache Spark, Hive, or Hadoop. #LI-DNI&nbsp; 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.&nbsp; 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. &nbsp;Local Pay Range$150,000&mdash;$190,000 USDAbout 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&nbsp;Twitter,&nbsp;LinkedIn&nbsp;and&nbsp;Facebook.BenefitsAt 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, please visit&nbsp;https://www.mybenefitsnow.com/databricks.&nbsp; 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.

Software Engineer IV

P-1591 &nbsp; 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&nbsp;high-agency, high-visibility team&nbsp;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&nbsp;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 &nbsp; 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.&nbsp; 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. &nbsp;Local Pay Range$165,300&mdash;$219,675 USDAbout 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&nbsp;Twitter,&nbsp;LinkedIn&nbsp;and&nbsp;Facebook.BenefitsAt 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, please visit&nbsp;https://www.mybenefitsnow.com/databricks.&nbsp; 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. Software Engineer- Backend

P-1980At 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 a founding engineer in the NYC Engineering office, you’ll have the opportunity to be part of a small, nimble team that’s innovating to build new products from the ground up. Our goal is to leverage the power of Databricks in data &amp; AI to deliver vertical AI applications for both technical and business 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.&nbsp;&nbsp;&nbsp; The key challenge you’ll be dealing with is leveraging the latest UX/UI technologies to create simple but powerful interfaces of very complex data and workflows. Your team is taking a UI-first and GenAI-first approach to building products. For example, you may be working in challenges such as: Create interfaces for GenAI agents that generate complex workflows while keeping the human in the loop through inspectability and transparency Create complex visualizations such as data pipelines, data mappings, customer journey flows, identity graphs, etc Enable mechanisms that can drive product-led growth, through seamless onboarding and sharing capabilities An interactive environment for&nbsp;collaborative data projects at massive scale with an easy path to production What we look for: 10+ years of experience with HTML, CSS, and JavaScript Passion for user experience and design and a deep understanding of front-end architecture High velocity focus, able to ship high quality code frequently and with speed&nbsp; Experience building complex workflows and complex analytics visualizations Motivated by delivering customer value Experience with modern JavaScript frameworks (e.g., React, Angular, or VueJs/Ember) 10+ years of experience with server-side web technologies (eg: Node.js, Java, Python, Scala, C#, C++,Go) Good knowledge of SQL &nbsp;&nbsp; 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.&nbsp; 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. &nbsp;Local Pay Range$190,900&mdash;$253,750 USDAbout 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&nbsp;Twitter,&nbsp;LinkedIn&nbsp;and&nbsp;Facebook.BenefitsAt 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, please visit&nbsp;https://www.mybenefitsnow.com/databricks.&nbsp; Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Staff Software Engineer - Fullstack (NYC)

RDQ427R180 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:&nbsp; 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. This role requires you to deeply understand both&nbsp;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&nbsp;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.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). The Impact you will have:&nbsp; 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&nbsp; 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 &nbsp; 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.&nbsp; 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. &nbsp;Zone 1 Pay Range$139,900&mdash;$195,850 USDAbout 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&nbsp;Twitter,&nbsp;LinkedIn&nbsp;and&nbsp;Facebook.BenefitsAt 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, please visit&nbsp;https://www.mybenefitsnow.com/databricks.&nbsp; 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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