Product Finance Director, R&D Capital Allocation & Engineering Operations

(GAQ427R230) About the role As customers build their mission-critical data and AI workloads on Databricks, our shared cloud platform infrastructure is scaling at unprecedented speed. We are looking for a Product Finance Senior Manager to own the economics and financial operations of our multi-cloud platform spend. You will be a key finance partner to our Cloud Engineering and Infrastructure Operations leaders, with a mandate that spans driver-based cloud forecasting, infrastructure efficiency roadmaps, and scalable cost attribution across our product portfolio. The impact you will have Drive analytics and modeling to understand how platform spend scales Lead deep data analytics to identify the underlying drivers of shared cloud platform spend across products, cloud providers, and global regions. Build robust, driver-based forecasting models that accurately predict infrastructure spend across regional expansion, customer scale, and new product launches. Partner with Cloud Infrastructure Operations to design a forward-looking cost attribution model that accurately maps shared platform expenses to individual products. Establish robust KPIs and operations to achieve unit economics goals Partner with Engineering to define north star efficiency KPIs across core platform services and storage/compute layers. Build the infrastructure efficiency roadmap alongside Engineering and translate technical optimizations into committed operating and gross margin targets. Drive tight operational rhythms and reporting so product and engineering leaders have clear visibility to execute against their unit economic goals. Scale cloud finance operations and systems Bring systems-level thinking to cloud FP&A processes, building automated workflows that scale as our multi-cloud footprint and commitment structures become increasingly dynamic. Ensure cloud cost allocation frameworks, monthly accruals, and reporting pipelines remain rigorous, auditable, and scalable as the business co

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

P-1495 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. About the Role Databricks is seeking a Senior Staff Product Operations Manager to serve as the chief architect of our internal operational ecosystem. This is a high-leverage leadership role embedded within Engineering, designed to orchestrate the complex intersection of technical innovation, product lifecycle maturity, and global Go-to-Market (GTM) acceleration. In this capacity, you will move beyond the management of existing processes to lead the creation of a formal Operational Association . You will be responsible for designing the high-fidelity frameworks that allow our engineering organization to remain agile while ensuring that every product investment is data-driven, transparent, and rigorously aligned with our long-term commercial strategy. This role is purpose-built for a strategic thinker who excels at navigating the "gray space" between a deep technical roadmap and the sophisticated financial requirements of a global enterprise platform. Impact Operational Orchestration: Define and govern the strategic engagement model between Engineering, Product, and GTM, ensuring that product lifecycle milestones are seamlessly integrated with field readiness and revenue velocity. Investment Intelligence: Act as a critical advisor to executive leadership, applying a consultant’s rigor to evaluate business inves

(GAQ427R221) Databricks is looking for a Revenue Accounting Manager to join our team. You will report to the Manager of Revenue Accounting and play a hands-on leadership role across the full revenue accounting close cycle, from evaluating complex contract terms and applying ASC 606, to leading UAT for new system logic, to preparing financial reporting deliverables for internal and external stakeholders. This is an individual contributor position with significant ownership and cross-functional influence. Our revenue accounting environment is evolving rapidly. New SKUs, new go-to-market motions, shifting policy requirements and system migrations are the norm. We need someone who thrives in ambiguity, adapts when priorities shift and takes ownership of complex problems. Our ideal candidate has a builder’s mindset: someone who digs into the details, challenges existing processes and leads improvements that make the close faster, more accurate and scalable. The Impact You Will Have Lead the close, end to end. Own and review monthly close activities, including usage reviews, journal entries, revenue estimates, flux analyses, account reconciliations and management reporting. Identify opportunities to improve quality and compress the close timeline. Apply ASC 606 with sound judgment. Evaluate complex and non-standard customer arrangements, document accounting conclusions and ensure consistent application of revenue recognition policies as our product portfolio evolves. Dig into the details. Pull, validate and troubleshoot data directly across contracts, billing systems, revenue systems and the general ledger. Trace discrepancies to the source and drive them through resolution. Own key revenue accounts. Manage revenue subledger-to-GL reconciliations for deferred revenue, contract assets and unbilled accounts receivable. Ensure balances are accurate, complete and supported. Turn data into insights. Analyze large datasets and explain key drivers affecting

GAQ327R297 Databricks is looking for a Senior Revenue Accountant to join our team. You will report to the Senior Manager of Revenue Accounting and play a hands-on role in the full accounting close cycle for revenue recognition — from executing on non-standard contract terms identified by Revenue Assurance, to performing UATs on new system logic, to preparing financial reporting deliverables for internal and external stakeholders. Our revenue accounting environment is evolving rapidly — new SKUs, new go-to-market motions, shifting policy requirements and system migrations are the norm. We need someone who thrives in ambiguity, adapts when priorities shift and sees change as an opportunity. Our ideal candidate has a builder's mindset: someone who digs into the details, questions why things are done a certain way and proactively identifies opportunities to automate, streamline and scale. The impact you will have: Own the close, end to end. Perform monthly close activities including usage review, journal entry preparation, flux analyses, account reconciliations and analytics — and continuously look for ways to compress the timeline. Apply ASC 606 with precision and judgment. Ensure proper application of ASC 606 to customer contracts, including assessing non-standard terms, documenting accounting conclusions and navigating evolving policy interpretations as our product portfolio grows. Dig into the details. Pull, validate and troubleshoot data yourself — contract details, system outputs and data discrepancies. You are not waiting for someone to hand you a clean dataset. Automate relentlessly. Identify manual, repetitive processes and take ownership of building or championing automation — whether that means writing SQL queries, building scripts, designing workflow improvements or partnering with engineering to implement systematic fixes. Leverage AI to work smarter. Use AI tools and large language models (LLMs) to accelerate routine tasks — drafting memos, analyzing large

About the team The Monetization Data Platform team builds the trusted data and platform foundations that power how the company develops, measures, and improves monetization products. We bring together product usage, pricing, billing, ads, payments, and financial data to help Product, Engineering, Finance, and GTM teams make better decisions and deliver reliable customer experiences. We work at the intersection of data engineering, product engineering, platform engineering, Finance, and GTM. Our goal is to turn complex monetization and financial data into accurate, explainable, and timely data products while building systems that scale with the growth and complexity of the business. About the role We are looking for a Data Engineer to improve and build the next generation of our monetization data platform. You will own high-impact systems end to end, from product instrumentation, source ingestion, and canonical modeling through quality controls, observability, and delivery to downstream consumers. This is a hands-on role for an engineer who enjoys solving ambiguous product and data problems, designing durable architectures, and partnering closely with Product Engineering, Finance, Accounting, and GTM. You will help define technical direction, raise the engineering bar, and turn monetization opportunities into trusted, scalable data products and platform capabilities. In this role, you will Design, build, and operate large streaming and batch data pipelines that process product, financial, and operational data from a variety of internal and external systems. Develop canonical data models and reusable data products for domains such as product usage, pricing, billing, ads, payments, revenue, and the general ledger. Establish strong guarantees for data accuracy, completeness, freshness, lineage, reconciliation, and auditability. Build frameworks and platform capabilities that improve developer productivity and make it easier for teams to launch, measure, and iterate on m