Databricks

Staff Product Manager, SAP

Databricks$172K — $236K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7+ years of product management or product ownership experience, particularly in enterprise ERP initiatives and SAP implementations.
  • Deep functional expertise in SAP and finance business processes like record-to-report, source-to-pay, or order-to-cash.
  • Hands-on experience with agentic automation and advanced AI technologies, with an understanding of their application in ERP processes.
  • Strong data fluency, particularly in SAP data extraction, modeling, and usability for analytics and AI.
  • Proven leadership in linking automation outcomes directly to finance and operations goals, not just feature delivery.
  • Knowledge of SAP governance practices including authorizations, SoD, SOX compliance, and audit requirements.
  • Comfortable navigating ambiguity and managing complex stakeholder landscapes across various business units.

Responsibilities

  • Lead the product strategy and roadmap for Databricks' SAP platform to enhance finance operations.
  • Design, build, and deploy AI-driven agentic workflows on top of SAP in collaboration with engineering and data teams.
  • Own product requirements for integrating SAP data into Databricks, ensuring effective governance and usability.
  • Act as the product owner during delivery, managing the backlog, prioritization, and change management processes.
  • Serve as the primary product leader for SAP, connecting with various systems, including BTP and integration suites.
  • Define and analyze success metrics to guide rapid iterations and improvements in finance operations.
  • Influence cross-department collaboration to align on and evangelize the automated product vision.

Benefits

  • Comprehensive benefits and perks tailored to meet diverse employee needs.
Full Job Description
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

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 click here.

About Databricks

Databricks is a unified analytics platform that provides data engineering, collaborative data science, and machine learning capabilities. The company was founded in 2013 by the original creators of Apache Spark, a popular open-source big data processing engine. Databricks provides a cloud-based platform that allows data teams to collaborate and build data pipelines, run machine learning models, and perform advanced analytics. The company has raised over $1 billion in funding and is valued at $38 billion as of November 2021.
Learn more about Databricks
Size
2,000 employees
Industry
Founded
2013

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