sr. technical product manager- Collaboration Engineering & Enterprise Ai
Starbucks Corporation sr. technical product manager- Collaboration Engineering & Enterprise Ai
Summary
Starbucks is hiring a Senior Technical Product Manager in its Nashville office to drive enterprise AI and collaboration platforms across Microsoft 365 and Azure — translating partner needs into requirements, leading cross-functional delivery, and supporting AI agents, RAG-based experiences, and enterprise search.
Job Summary and Mission
At Starbucks, our mission is to inspire and nurture the human spirit—one person, one cup, and one neighborhood at a time. This role is central to shaping how our partners collaborate, discover knowledge, and leverage enterprise AI to drive productivity and innovation at scale.
We are seeking a Senior Technical Product Manager to help deliver secure, scalable enterprise AI and collaboration experiences across Microsoft 365 and Azure. This role partners closely with engineering, architecture, security, and business stakeholders to translate partner needs into product requirements, prioritize work, manage dependencies, and drive roadmap execution for collaboration and AI-enabled productivity platforms.
Key Responsibilities\:
- Lead cross-functional delivery across engineering, architecture, security, and data teams to implement scalable, secure AI solutions
- Collaborate with engineering and architecture teams to ensure solutions align with security, compliance, accessibility, reliability, and enterprise standards
- Manage intake, prioritization, and governance processes for assigned AI and collaboration initiatives
- Translate partner needs and business opportunities into clear product requirements, epics, user stories, and success measures
- Support AI-enabled capabilities including AI agents, RAG-based experiences, and enterprise search using Azure AI Search, Elastic, and similar platforms
- Define product health metrics and measure adoption, engagement, reliability, compliance, and business impact
- Contribute to the product vision and own roadmap execution for enterprise AI, collaboration, and productivity capabilities within assigned product areas