Senior Engineering Manager - Photon Team at Databricks | San Francisco

Join Databricks as an exceptional Finance Manager on our FP&A team, dedicated to empowering data teams to tackle the world’s most challenging problems. This role offers the chance to strategically analyze growth drivers and collaborate with our Go-To-Market (GTM) team to make a significant impact.As a finance expert with experience in hyper-growth environments, you will independently address complex problems, leverage your extensive financial analysis skills, and confidently communicate insights to senior leadership. You will approach new challenges with first principles thinking to devise effective solutions.Your contributions will include:Utilizing analytical skills to solve problems through comprehensive data gathering and summarization to facilitate efficient executive decision-making, leading the recommendation process from start to finish.Fostering strong, trusted relationships with teams across Sales, Finance, Commercialization, Data Science, Accounting, IT, Business Operations, and their technical counterparts.Developing innovative solutions for data-related challenges, presenting insights through clear narratives and engaging presentations.Creating and maintaining financial and operational models to provide real-time forecasts for essential financial metrics.Collaborating with the GTM team to propose and implement strategies that enhance key financial indicators.Driving process improvements, standardization, simplification, implementing necessary controls, and enhancing reporting capabilities.

Databricks is on the lookout for a dynamic Senior Manager, Finance PMO & Operations, specializing in Financial Planning & Analysis (FP&A). In this pivotal role, you will champion organizational transformation, drive innovation, and enhance operational efficiency across our global Finance teams within the CFO organization, while collaborating with key cross-functional stakeholders. You will liaise with leadership to ensure full transparency and visibility into ongoing programs and projects.Your role will involve partnering closely with diverse teams within the Finance organization, including various FP&A groups (Corporate, Go-to-Market, Product, etc.), and engaging with broader CFO partners. You will also collaborate with cross-functional teams such as IT, People, Engineering, Product, Go-to-Market, and Pricing. As the owner of project and program management, your responsibilities will include setting Objectives and Key Results (OKRs), optimizing processes, developing transformation roadmaps, and managing organizational communications on behalf of the FP&A team.Your collaborative spirit with FP&A and other cross-functional partners will be crucial in driving efficiency and transformative change across the Finance organization. The ability to effectively plan and execute projects while fostering collaboration across teams and locations will be essential for success in this position. You will facilitate smoother operations for the Finance team by establishing organization-wide standards, leading critical programs, including communications, reporting, and metrics, optimizing processes, and spearheading technology enhancements. Moreover, you will utilize AI and emerging technologies to refine Finance workflows and enhance our team’s productivity, enabling smarter decision-making, predictive insights, and scalable automation across core Finance processes.

Join Databricks as a Senior Manager in Commissions FP&A, a pivotal role where you will lead the GTM Finance team's commission planning, forecasting, and analytics. You will collaborate closely with the Sales Compensation Strategy and Sales Strategy teams during the annual planning and design cycles. Additionally, you will engage with Accounting to streamline the monthly accrual process and work with GTM Finance partners to deliver insightful analyses on compensation plan success.This strategic position offers a unique opportunity to influence one of the most critical investment areas in our go-to-market strategy.Your Impact:Collaborate with the Sales Compensation Strategy team to align annual compensation plans with business objectives.Oversee the cost modeling for compensation plans, designing quota guardrails, accelerator rates, and managing overassigned quotas to balance commission payouts with performance goals.Develop and uphold a comprehensive commissions forecast, utilizing actuals and anticipated top-line performance to assess budget variances and provide analytical insights to partners.Manage the monthly commissions accrual process, delivering key variance insights to Finance leadership.Conduct ad hoc analyses, offering recommendations for mid-year investments and modifications to compensation plan designs.

At Databricks, we are committed to empowering organizations to unlock the full potential of data and artificial intelligence. Our goal is to create the premier platform for the development, deployment, and management of AI applications at scale, enabling our customers to leverage intelligent solutions to revolutionize their businesses.About Our Team:The Databricks AI team is pioneering how businesses utilize artificial intelligence. Our mission involves creating foundational capabilities that allow customers to build agents and models, manage intricate workflows, and integrate AI seamlessly into their data and applications. As the AI landscape evolves rapidly, our approach requires innovative thinking and the adaptability to navigate these changes. We are not merely creating features; we are fundamentally reshaping how the world interacts with AI.Your Impact:Shape the future of enterprise AI: Define and advance the vision of how Databricks empowers customers to harness generative AI, agents, and groundbreaking workloads.Transform breakthroughs into products: Collaborate with top-tier engineering and research teams to convert state-of-the-art AI innovations into reliable tools for millions.Expand possibilities for customers: Work closely with data and AI leaders to identify novel use cases and design products that make the previously unfeasible achievable and replicable.Be the voice of vision and execution: Inspire the roadmap from concept to launch, steering engineering efforts and articulating how Databricks AI transforms customer capabilities.Build for scale and longevity: Establish the strategies and principles that will guide Databricks AI for years to come, even as the industry undergoes rapid changes.

Join our dynamic team at Databricks as a Senior Financial Analyst, where you'll play a pivotal role in shaping our financial strategy and enhancing our decision-making processes. This is an exciting opportunity for finance professionals who are passionate about leveraging data to drive business success.

At Databricks, we are driven by a commitment to empower data teams in overcoming the world's most complex challenges, from realizing the next generation of transportation to expediting groundbreaking medical innovations. Our mission is fulfilled through the development and operation of the premier data and AI infrastructure platform, enabling our clients to harness profound data insights to enhance their enterprises. Founded by engineers with a customer-centric mindset, we eagerly embrace every chance to confront technical challenges – whether it's crafting next-gen UI/UX for data interaction or scaling our services and infrastructure across a multitude of virtual machines. About Our Team: Delivering a stellar platform necessitates an outstanding developer experience. The Databricks Repos team lays the groundwork for source control and workflow, facilitating how data engineers, machine learning experts, and analysts manage code, collaborate with peers, and deploy data and AI applications into production. Our team enhances the version control experience within Databricks, delineating user interactions with Git providers, code change management, lineage tracking, pull request evaluation, and code promotion into jobs, pipelines, and deployments. We are dedicated to crafting a seamless, reliable, AI-native workflow that merges the best practices of Git-style development with the specific requirements of data and AI teams. Our goal is to offer an effortless journey from authoring to production across notebooks, SQL, Python, and Lakeflow, all within a unified platform. In this role, you will spearhead the vision and roadmap for Databricks Repos, determining how developers create, test, review, and deploy code within our ecosystem. Collaborating with the Workflows, Notebooks, Lakeflow, Data Management, and broader Developer Experience teams, you will deliver an integrated and user-friendly path to production. Your Impact: Design the comprehensive production experience for data and AI teams, encompassing authoring, Git integration, and CI/CD processes. Define integration strategies for Repos with GitHub, GitLab, and Azure DevOps, promoting seamless branching, pull requests, reviews, conflict resolution, and deployment workflows. Collaborate with engineers to develop AI-assisted code management features, including automated code suggestions, recommended diffs, merge assistance, and deployment validation. Act as the voice of the customer, translating user feedback into workflow enhancements that simplify source control and release management. Boost developer productivity and reliability by aligning Repos with Databricks Workflows, Lakeflow, and deployment mechanisms. Facilitate the growth of Databricks adoption.

Join us in shaping the future of data and AI with Databricks SQL!At Databricks, we empower enterprises and startups globally by delivering cutting-edge Data & AI solutions. Our Databricks SQL (DBSQL) product stands at the forefront of next-generation AI-powered cloud data warehousing, enabling businesses to efficiently query, visualize, and make real-time decisions at scale. Recognized as the fastest-growing data warehouse globally, DBSQL is revolutionizing the industry.We are seeking a dynamic, strategic, and customer-focused Product Manager to drive innovation, define our roadmap, and guide DBSQL through its next phase of expansion.

At Databricks, we are dedicated to empowering data teams to tackle some of the world's most challenging problems. Our Databricks Free Edition provides a platform where students, enthusiasts, and aspiring professionals can engage with data and AI directly, building the skills and confidence needed to shape the future. We are in search of a Senior Product Manager to be a key player in steering the Databricks Free Edition initiative. In this role, you will work closely with a diverse team of product managers, engineers, and designers to craft experiences that make learning data and AI both engaging and accessible.

Role Overview The Business Intelligence Manager at Databricks shapes how business users interact with data and AI on the Databricks platform. This role focuses on building secure, interactive applications that help teams turn raw data into practical insights. The position is based in New York or San Francisco. What You Will Do Build: Design and develop frontend interfaces and API backends. This includes setting up FastAPI to route user queries to model-serving endpoints, and delivering solutions from data dashboards to enterprise chat tools using the Mosaic AI Agent Framework. Architect: Create secure, scalable application architectures that support custom SaaS offerings and meet go-to-market needs. Scale: Develop applications that connect to Databricks SQL through the Statement Execution API or Databricks SDK. Set up CI/CD pipelines with Declarative Automation Bundles (DABs) to automate deployments across development, staging, and production. Key Technologies Streamlit React FastAPI Databricks Apps serverless infrastructure Locations New York San Francisco, California

Join Databricks as a Senior Product Manager for Unity Catalog, where we are dedicated to empowering data teams to tackle the world's most pressing challenges. Our innovative data and AI infrastructure platform is designed to help customers harness deep insights to enhance their business operations. Founded by engineers and driven by customer feedback, we eagerly take on technical challenges, from crafting next-gen UI/UX for data interaction to scaling our services across millions of virtual machines.In this role, you will oversee all product activities for Unity Catalog, the foundational metadata and governance layer for the Lakehouse. This includes implementing fine-grained security, governance capabilities, and productivity features like data lineage, search, discovery, auditing, and compliance for our customers' data and AI assets.Your responsibilities will involve coordinating product vision to implementation, engaging with large enterprise clients to ascertain their needs, developing strategic product roadmaps, collaborating with engineering to bring products to life, and liaising with various internal stakeholders to ensure successful product outcomes.Your Impact:Design and implement new governance and security features as part of Unity Catalog.Define and develop platform services that empower Databricks’ data & AI product teams, including ML/AI, Data Science & Engineering, and Data Warehousing, to seamlessly integrate workload-specific governance enhancements.Drive the lifecycle of new features from ideation through customer engagement to launch, including marketing strategies and ensuring broad customer adoption across all segments.Provide insights on the data governance landscape, customer needs, and market trends to engineering and leadership teams through close collaboration with customers and partners.

Join Databricks as a Financial Analyst within our Sales Finance team, part of the FP&A organization. In this role, you'll work closely with the Senior Manager of Finance to drive strategic financial insights that will optimize our investments for long-term growth.Your responsibilities will include serving as a trusted advisor to Sales and Finance leadership, delivering actionable insights and recommendations that foster sustainable growth. You will enhance forecast reliability, improve corporate reporting, establish robust processes, and scale our systems to support business expansion. Key tasks include analyzing product usage trends, tracking key performance metrics, and collaborating on executive-level presentations.

We are seeking a seasoned Solutions Architect with a strong pre-sales background to join our team at Databricks, focusing on the Retail and Consumer Packaged Goods (CPG) sectors. This role involves collaborating closely with Account Executives to define and implement technical strategies for our most significant clients, helping them leverage data-driven solutions to enhance their operations through Machine Learning (ML) and Artificial Intelligence (AI).Your expertise in value-based selling, technical account management, and leadership will be vital in driving the successful adoption of our products. You will guide a select number of clients on their transformational journey, ensuring they fully integrate Databricks into their strategies while fostering a community of technical champions within their organizations.

Databricks seeks a Commercial Account Executive to work with organizations that use data to create impact in their industries. This position fits sales professionals who bring both creativity and initiative, along with a strong background in handling transactional and strategic sales cycles. The main focus is to help customers understand Databricks products and support them as they make key decisions. Key responsibilities Find and develop new business opportunities within an assigned territory Secure new accounts while maintaining and growing relationships with current customers Guide clients through the sales process and help them see the broader value Databricks can provide Work to meet and exceed sales quotas, with accelerators available for performance above 100% of target Report directly to a regional sales manager Locations Austin, Texas Boston, Massachusetts Chicago, Illinois Denver, Colorado New York City, New York San Francisco, California Seattle, Washington Washington, D.C.

As an Emerging Enterprise Account Executive at Databricks, you will master the SaaS sales process and drive innovation by expanding customer visions and accelerating decision-making cycles. Your passion for understanding our product in depth will empower you to effectively communicate its value to customers and partners alike. Proactively seeking new opportunities, you will take the lead in closing new accounts. In addition to the excitement of closing deals, we offer attractive accelerators for exceeding 100% of your quota. You will report directly to a regional sales manager.Your Impact:Strategize and engage all buying centers within your accounts.Utilize a solutions-oriented sales approach to deliver value to customers.Identify key use cases in each account to maximize Databricks' impact.Collaborate with teams to enhance the ecosystem's effectiveness.Build value in all interactions to facilitate successful negotiations.Champion the Databricks enterprise cloud data platform powered by Apache Spark.Focus on customer success by achieving technical and business results with the Databricks Platform.Foster a collaborative team environment, because teamwork makes the dream work!

Join Databricks as a Principal Data Scientist and contribute to shaping the future of data analytics and machine learning. In this pivotal role, you will leverage your expertise to drive impactful projects, collaborate with cross-functional teams, and lead innovative research initiatives that enhance our product offerings. As a thought leader, you will utilize your extensive knowledge in data science to influence our strategic direction, ensuring our solutions remain at the forefront of technology.

P-1125 At Databricks, we are passionate about empowering data teams to tackle the world’s most challenging problems, ranging from security threat detection to advancing cancer drug development. Our mission is to build and operate the leading data and AI infrastructure platform, allowing our customers to concentrate on the critical challenges central to their missions. Our engineering teams are dedicated to creating highly sophisticated products that address vital needs in the world. We relentlessly push the boundaries of data and AI technology while ensuring resilience, security, and scalability that are essential for our customers' success on our platform. Customers place their utmost trust in Databricks with their most valuable data, and our Trust & Safety team is committed to developing the most reliable data analytics and machine learning platform globally. The customer journey on our platform begins with Authentication, and we are seeking senior leaders like you to shape the vision and define the strategy for this critical area. Your Impact: Establish and implement a long-term vision for Authentication that harmonizes robust security with a seamless user experience. Attract and mentor elite engineering talent to enhance our security infrastructure. Serve as the advocate for Security Engineering across the organization, influencing data-driven decisions at the executive level. Showcase Databricks’ security innovations at prominent academic and industry conferences. What We Seek: 10+ years of experience in Data Security or related fields, with expertise in two or more areas such as Authentication, Network Security, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, and Detection & Response. Experience in building systems for large-scale internet enterprises is a significant advantage. 15+ years of experience in developing large-scale distributed systems with high availability. Proven leadership skills to guide efforts across functional and organizational boundaries. Exceptional communication abilities to articulate and advocate for Data Security to senior leadership throughout the organization. A proactive mindset with a strong commitment to delivering high-quality solutions. Master’s or Ph.D. in Computer Science or a related discipline. This position is open to remote candidates.

At Databricks, our passion lies in empowering data teams to tackle some of the most challenging problems globally, from detecting security threats to advancing cancer drug development. We achieve this by creating and operating the world's premier Data Intelligence Platform, enabling our customers to concentrate on high-value challenges central to their missions. Founded in 2013 by the original creators of Apache Spark, Databricks has evolved from a small office in Berkeley, California, into a global powerhouse with over 1000 employees. We are trusted by thousands of organizations—from small startups to Fortune 100 companies—with their mission-critical workloads, establishing us as one of the fastest-growing SaaS companies worldwide. Our engineering teams are dedicated to developing highly technical products that address real-world needs. We continuously push the limits of data and AI technology while maintaining the resilience, security, and scalability crucial for our customers' success on our platform. Operating one of the largest-scale software platforms, our infrastructure comprises millions of virtual machines that generate terabytes of logs and process exabytes of data daily. At this scale, we routinely encounter cloud hardware, network, and operating system faults, and our software is designed to shield our customers from such issues effectively. As a Data Scientist on the Data Team, you will play a pivotal role in fostering a data-driven culture within Databricks by addressing product and business challenges. The Data Team serves as an internal, production 'customer' that utilizes Databricks and influences the future trajectory of our products. Your Impact: Steer the direction of key data science initiatives including segmentation, recommendation systems, forecasting, product analytics, churn prediction, and insights. Collaborate closely with Engineering, Product Management, Sales, and Customer Success to discern product usage patterns and trends, facilitating data-driven decisions, recommendations, and forecasts. Manage stakeholder expectations in your focus area—gather evolving requirements, define project OKRs and milestones, and effectively communicate progress and results to non-technical audiences. Mentor and support junior data scientists within the team, assisting with project planning, technical decisions, and conducting code and documentation reviews. Advocate for the data science discipline across the organization, amplifying our commitment to becoming more data-driven. Develop self-service internal data products to simplify data access within the company. Represent Databricks at academic and industry conferences and events.

Join Databricks as a Director of Engineering GovernanceAt Databricks, we are the Lakehouse company, empowering over 7,000 organizations globally—including industry leaders like Comcast, Condé Nast, and H&M—to harness the power of data, analytics, and AI through our innovative Lakehouse Platform. Our headquarters is located in San Francisco, with a dynamic presence around the world.Founded by the original creators of Apache Spark™, Delta Lake, and MLflow, our mission is clear: to assist data teams in tackling the world's most challenging problems. Learn more about us on Twitter, LinkedIn, and Facebook.To discover more, visit www.databricks.com.About the TeamWe are on the lookout for a highly skilled and influential Director of Engineering Governance to lead our efforts in integrating security, privacy, and responsible data practices into the core of Databricks’ products and infrastructure. This role goes beyond merely managing programs; it involves architecting and scaling robust engineering platforms and operating models that foster secure and compliant product development across a rapidly evolving, multi-cloud ecosystem.In this strategic, hands-on leadership position, you will guide a talented team of senior security engineers, collaborate with product and infrastructure leaders, and establish foundational governance systems that empower Databricks to innovate swiftly while maintaining top-tier security and customer trust.

P-256 Join our dynamic team at Databricks as a Solutions Architect specializing in the retail and consumer packaged goods (CPG) sector. We seek seasoned pre-sales professionals with a proven history of empowering large enterprises to adopt data-driven strategies. In collaboration with the Account Executive (AE), you will define and drive the technical strategy for our most critical accounts, fostering deeper engagement with our products and expanding the adoption of machine learning (ML) and artificial intelligence (AI) solutions. Your role will leverage your expertise in value selling, technical account management, and technical leadership to enhance success in these accounts. While collaborating with a team of hands-on resources to build proofs of concept and showcase Databricks' offerings, you will need to possess a solid technical foundation and an understanding of the relevance and application of ML & AI across various use cases crucial to our retail and CPG clients. Your Impact: Serve as the primary technical advocate for Databricks with 1-5 clients. Lead customers through a transformational journey, assisting them in evaluating and integrating Databricks into their strategy. Execute the technical strategy within the account while closely aligning with the overarching business goals. Foster a community of technical champions within the account. Align technical strategies with Databricks solutions to drive mutual success. Provide structured mentorship and guidance to fellow team members.