обновлено 12 часов назад
Staff Product Manager (SAP)
172 200 - 236 850$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Product Manager (SAP) (SAP/AI): Owns the strategy, implementation, and evolution of SAP as the foundation for finance operations while building AI-powered agentic workflows that automate transaction-heavy processes. with an accent on SAP platform strategy, finance process transformation, trusted data foundations, and enterprise governance. Focus on designing safe agentic automation, integrating SAP data with the Databricks Lakehouse, and scaling auditable workflows across Record-to-Report, Source-to-Pay, and Order-to-Cash.
Location: Mountain View, California or San Francisco, California, United States
Salary: $172,200–$236,850 USD per year, plus potential annual performance bonus, equity, and benefits.
Company
Databricks provides a unified Data and AI Platform for building and scaling data, analytics, AI applications, and intelligent agents.
What you will do
- Own the SAP product strategy, roadmap, implementation, platform evolution, and finance process transformation.
- Design and deploy agentic AI workflows on top of SAP with engineering and data teams, including orchestration, retrieval, and guardrails.
- Define requirements for SAP data ingestion, semantic and master data modeling, lineage, and governance in the Databricks Lakehouse.
- Manage the product backlog, acceptance criteria, prioritization, release planning, cutover, adoption, and change management.
- Coordinate the SAP ecosystem, including BTP, Integration Suite, and surrounding non-SAP systems.
- Define success metrics and align Finance, Procurement, Enterprise Architecture, Security, engineering, and senior leadership.
Requirements
- 7+ years of product management or product ownership experience.
- Experience leading enterprise ERP initiatives at scale, including a major SAP implementation, S/4HANA migration, or module rollout.
- Deep SAP expertise across one or more of Record-to-Report, Source-to-Pay, or Order-to-Cash, plus master data governance.
- Hands-on experience or strong technical understanding of agentic automation, LLM orchestration, retrieval-augmented generation, and evaluation.
- Strong knowledge of SAP data extraction and modeling, data pipelines, semantic layers, authorizations, segregation of duties, SOX, and audit requirements.
- Ability to lead through ambiguity and collaborate with complex business, IT, engineering, and security stakeholders.
Nice to have
- Experience developing applications or automation layers on Databricks or other modern data platforms alongside SAP.
- Familiarity with SAP BTP, AI Core, OData, REST APIs, CDS views, and Datasphere.
- Experience evaluating build-versus-adopt decisions for SAP and Databricks-native solutions.
Culture & Benefits
- Comprehensive employee benefits and region-specific perks.
- Potential annual performance bonus and equity eligibility.
- Inclusive workplace committed to equal employment opportunity and diversity.
- Role may involve access to export-controlled technology or source code and may require a U.S. government license at the employer's discretion.
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