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.

Zone 1 Pay Range 172200 - 236850 USD

About the company

Databricks builds cloud software that businesses use to organize data, analyze it, and develop AI applications. Its lakehouse architecture brings the flexible storage of a data lake together with the querying and management tools of a data warehouse. Data engineers prepare and update datasets, analysts build reports, and developers train models or create applications in a shared workspace with controls over who can use the data. The platform runs on Amazon, Microsoft, and Google clouds, and customers pay for computing usage or commit to longer contracts for discounted rates. Databricks was founded in 2013 and is headquartered in San Francisco, California.

Company Size

10,001+

Company Stage

Late Stage VC

Total Funding

$32.1B

Headquarters

San Francisco, California

Founded

2013

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Simplify's Take

What believers are saying

Growth supports larger product bets: Databricks reported over 80% yearly growth and a $7 billion revenue run-rate in August 2026.
Employees try frontier AI immediately: Databricks says its 12,000 staff received day-one access to September 2026 model releases.
Existing customers spend more: Databricks reported over 140% revenue retention in February 2026, after contractions and departed accounts.

What critics are saying

Steep valuation: Databricks' August 2026 round valued it near 27 times its $7 billion annualized revenue milestone.
A partner controls part of the bill: Microsoft sets Azure Databricks prices and bills those customers directly.
Equity needs planned liquidity: Databricks remains privately held, so employee shares lack an everyday stock-market exit.

What makes Databricks unique

Governance extends beyond its own engine: Databricks publishes Unity Catalog's core APIs and server as open source.
Apps run beside analytics: Databricks' Lakebase combines a Postgres database with its data lake and isolated testing branches.
Its roots are in distributed computing: Databricks' founders created Apache Spark, which processes large datasets across many computers.

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Benefits

Extended health care including dental and vision
Life/AD&D and disability coverage
Equity awards
Flexible Vacation
Gym reimbursement
Annual personal development fund
Work headphones reimbursement
Employee Assistance Program (EAP)
Business travel accident insurance
Paid Parental Leave

Growth & Insights and Company News

Headcount

6 month growth

1 year growth

2 year growth

-1%

Fortune

Oct 21st, 2026

Databricks to open Abu Dhabi office in February, plans to double 60-strong regional team

Databricks will open an office in Abu Dhabi in February next year, the US data and cloud computing company said, as it looks to tap growth in the Middle East. The office will be formally announced in December. A team of more than 60 people covering the Middle East and Africa from Europe will relocate there. Regional vice president Richard Wylie said Databricks plans to more than double that headcount over the next 12 months, citing the "strong talent pool" in Abu Dhabi. Wylie said the company has "hundreds" of customers in the region, including Etihad Airways and MBC Shahid, and is growing fast in Qatar and Saudi Arabia. In August, Databricks closed a $5 billion funding round at a $190 billion valuation, jointly led by UAE-based investor MGX.

Business Wire

Oct 19th, 2026

Factory partners with Databricks to bring autonomous coding agents to enterprises

Factory, a San Francisco startup that builds autonomous software engineering tools, has partnered with data and AI company Databricks. Enterprises can now run Factory's software agents, called Droids, with data and models they already govern in Databricks. Factory is available on Databricks Marketplace, and eligible customers can use existing Databricks commitments to buy it. Droids now draw on open weight and proprietary models from Databricks Unity Gateway, and Factory can run on a company's existing infrastructure. "Factory agents, powered by models from Unity Gateway and governed through Unity Catalog, give customers a faster path from code to production," said Ali Ghodsi, chief executive officer of Databricks. Factory is now a Databricks ISV partner and will build on the Databricks Data + AI Platform.

Yahoo Finance

Oct 14th, 2026

Pricefx partners with Databricks to run AI pricing directly on governed lakehouse data

Pricefx, a pricing intelligence company for B2B enterprises, has partnered with Databricks to let manufacturers and distributors manage pricing directly on data they already hold in Databricks. The company announced the move on October 14, 2026, at its Accelerate 2026 conference in Denver. The native integration aims to cut implementation time and end reliance on stale data. Pricing teams will work from current data, while IT keeps governance through Databricks' Unity Catalog. Pricefx will roll it out in three stages: a data connector, a zero-copy option that keeps data in Databricks, and pricing agents on Databricks Marketplace. The last two are coming soon. "Pricing is where that investment should pay off directly in margin," said Ronak Sheth, chief executive officer of Pricefx.

Databricks

Oct 14th, 2026

Tecton is Joining Databricks to Power Real-Time Data for Personalized AI Agents | Databricks Blog

Tecton is joining Databricks to deliver fast, reliable real-time data for AI agents.

Associated Press

Oct 8th, 2026

Tel Aviv's Seemoredata launches Databricks cost optimisation as enterprises seek to fund $2.5T AI spending

Tel Aviv-based Seemore Data has launched early access to its cost optimisation platform for Databricks, targeting enterprises seeking to fund AI initiatives. The startup's context-aware control plane now covers Databricks SQL warehouses, Lakeflow jobs, all-purpose clusters, and AI services. The launch addresses growing demand for AI funding as Gartner forecasts worldwide AI spending to reach $2.5 trillion in 2026. According to IDC, 45% of companies plan to fund AI from existing software budgets. Seemore's platform provides full cost attribution across Databricks workloads and automatically optimises SQL warehouses within customer-set parameters. The company claims its Snowflake customers achieve an average 33% bill reduction and expects comparable results for Databricks users. The service requires only metadata-only access and does not access customer data. It is available for organisations running Databricks with Unity Catalog.