Senior Data and AI Engineer - Finance

WHO WE ARE ABOUT STRIPE Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. ABOUT THE TEAM The Seller Systems team is dedicated to empowering sellers and stakeholders at Stripe by streamlining and optimizing the selling process. This is a top priority for Stripe as it expands its enterprise revenue globally. We build tools and systems to make the end-to-end selling process across initial contact with customers, deal modeling, negotiation, approvals, contracting, onboarding, and activation absolutely world class. We treat this area as an engineering problem from first principles, implemented with a hybrid architecture of first-party-developed custom Stripe components interoperating with third-party standard business components. Our vision is to be able to offer a single plane of glass experience to our Sellers at Stripe, to allow them to leverage AI through workflows that allow them to minimize overhead and increase their time on increasingly efficient selling. WHAT YOU'LL DO As a Staff Engineer in Seller Systems, you'll be a technical anchor for one of Stripe's highest-priority engineering investments—building the infrastructure that powers how Stripe sells to and wins customers globally. You'll own and drive multi-year technical strategy across a complex hybrid architecture of first-party Stripe systems and third-party platforms (including Salesforce), while directly shaping the seller experience across the full quote-to-cash lifecycle. You'll set the architectural direction and be a multiplier across teams—owning end-to-end technical decisions that span seller-facing workflows, core platform services, and integrations with Stripe's financial infrastructure. RESPONSIBILITIES • Architect and build scalable, reliable systems that underpin Stripe's sales motion, including APIs and services that support deal creation and modeling, multi-party approval workflows, contract generation, and merchant onboarding at global scale • Lead Stripe's "single plane of glass" vision for sellers—driving architectural decisions on how first-party Stripe components and third-party platforms (e.g., Salesforce) interoperate, and designing systems that surface the right data and actions to sellers at the right time • Integrate AI and agentic workflows into the selling process, identifying high-leverage opportunities to automate seller overhead—from intelligent deal recommendations and pricing guidance to automated contract workflows and proactive activation nudges • Partner cross-functionally at a senior level with Go-to-Market, Finance, Legal, and Product teams to deeply understand the selling process and translate business requirements into durable technical solutions that scale with Stripe's growth • Raise the technical bar across the team—conduct thorough design and code reviews, establish engineering standards and best practices, and create the conditions for senior and staff-adjacent engineers to do their best work • Drive simplification and platform consolidation—reduce complexity in Stripe's go-to-market systems stack, identify opportunities to consolidate overlapping tooling, and architect toward a maintainable, extensible platform that serves sellers reliably • Mentor and sponsor senior engineers, helping them grow in technical scope and organizational influence, and fostering a culture of ownership, craft, and collaboration across the Seller Systems team and beyond WHO YOU ARE We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. MINIMUM REQUIREMENTS • 10+ years experience building software systems, including both experience building user-facing products and internal platforms leveraged by other engineering teams • You have a user-first mindset • You care deeply about the product experience and the users who rely on the systems you build • You've set a multi-year technical strategy for an organization and successfully executed it • You work in ambiguous, fast-moving environments and have a curiosity to learn the domain to a deep level • You've mentored senior engineers and meaningfully empowered their growth • You thrive on a high level of autonomy and responsibility • You have strong collaboration skills to work effectively across multiple teams and stakeholders, and ship complex initiatives • You communicate complex technical topics exceptionally clearly PREFERRED QUALIFICATIONS • Experience working in high-growth teams similar to Stripe • Knowledge of CRM platforms like Salesforce • Previous experience partnering with or supporting Go-to-Market (GTM) organizations, including Sales, Marketing, or Customer Success teams

GAQ426R192 About the Role As Senior Manager, Finance Data and AI, you will lead the design, development, and delivery of data pipelines, AI use cases, and internal applications that power Databricks' Finance and Accounting organization. You will report to the Senior Director, Finance Data, AI & Strategy, with visibility to CFO-level priorities, and serve as the technical anchor for a team that bridges financial operations and modern data engineering. This individual is expected to be based in Bengaluru. This is a high-impact role at the intersection of finance domain expertise and data platform capability — less about writing distributed systems from scratch, and more about building purposeful, reliable solutions on top of the Databricks platform and Finance DataLake to accelerate Finance. You will be embedded in a Finance organization that takes data and AI seriously. The team operates with engineering rigor and Finance accountability, and you will have the autonomy to define how the Finance DataLake and modern Finance data infrastructure should evolve at Databricks. What You Will Do: * Orchestrate jobs using Databricks Jobs and Lakeflow Declarative Pipelines with built-in data validation and reconciliations * Identify, scope, and deliver AI use cases for the Finance and Accounting organization, including forecasting automation, anomaly detection, and natural language interfaces to financial data * Build and maintain internal Finance applications (Databricks Apps, Genie Spaces, dashboards) that enable self-service for non-technical Finance stakeholders * Build reports and dashboards for monthly, quarterly, and executive-level reporting * Publish curated finance datasets and enable self-service analytics, while enforcing row-level security and data access policies * Partner with Accounting, FP&A, Internal Audit, and Procurement teams to understand business requirements and translate them into scalable technical solutions within the Finance DataLake * Manage and grow a team of finance data engineers, setting technical standards, reviewing work, and developing talent * Enforce Git-based version control, pull-request reviews, and CI/CD pipelines (Declarative Automation Bundles, GitHub Actions) to satisfy SOX change management requirements * Provide support during financial close and ensure timely resolution of data-related issues * Partner with IT and Engineering to provide requirements and perform UAT of new systems and processes * Establish coding, data management, and documentation standards and best practices * Serve as a proactive leader who regularly assesses pain points, aligns with cross-functional teams on organizational objectives, and inspires and holds team members accountable for achieving high-quality results What We Look For: * 15+ years of experience in data engineering, finance systems, or analytics engineering, with at least 5 years in a people management or team lead capacity * Proficiency in SQL and Python for data pipeline development; experience with Apache Spark or the Databricks platform is a strong plus * Hands-on experience building and maintaining ELT/ETL pipelines connecting financial source systems (Netsuite, Salesforce, Stripe, Zuora, or similar) into a centralized data lake * Understanding of core finance and accounting concepts including close processes, revenue recognition, intercompany, chart of accounts, and financial reporting * Demonstrated ability to translate ambiguous Finance requirements into well-scoped, maintainable technical deliverables * Comfortable working across both technical (engineering, data platform) and non-technical (Accounting, FP&A) stakeholders * Experience with BI and data visualization tooling; ability to build Finance-facing dashboards and self-service products * Familiarity with AI/ML concepts and enthusiasm for applying them to Finance workflows Nice to Have: * Prior experience at a high-growth SaaS or cloud infrastructure company * Exposure to AI/BI tools, Genie, or LLM-powered applications * Experience with Declarative Automation Bundles or CI/CD for Finance DataLake pipelines * CPA, CFA, or formal finance/accounting background About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.