Senior​/Group Product Manager, AI Ecosystem & Semantic Layer

# Senior/Group Product Manager, AI Ecosystem & Semantic Layer Sigma San  Francisco, CAFull-time $200,000 – $250,000 / yearAI tools:

Claude

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This product role sets strategy for Sigma’s external AI ecosystem, including MCP access, a developer CLI, marketplace presence, and integrations with workplace tools. It also owns the semantic-layer roadmap that gives AI agents and connected experiences governed, reliable data to use.
* Permanent* On-site
* 5+ years### Skills and expertiseMCPCLIAPIs Slack Microsoft  Teams Glean semantic layers dimensional modeling### Key responsibilities
* Define Sigma’s MCP approach and CLI roadmap for governed data access and developer workflows.
* Build Sigma’s presence in Claude and ChatGPT marketplaces and integrations with Slack, Teams, and Glean.
* Set the semantic-layer roadmap and partner with engineering and design to deliver enterprise-scale capabilities.## How this job compares

Compared with 43 open manager product jobs on October 10, 2026.Pay:
This job pays $200K to $250K a year. The 15 open manager product jobs that publish US pay start at $168K on average, so this job starts about 19% higher.

Similar open jobs:
We Love AI Jobs lists 43 open manager product jobs at 24 companies.

Remote work:
This job is on site. 10 of the 43 manager product jobs (23%) are remote.

AI in this role:
Medium. The role uses AI tools and works with AI systems as a regular part of the job. The role regularly shapes AI-facing product surfaces, including agent access, AI marketplaces, and data foundations for AI answers. Its focus is product strategy and delivery rather than hands-on model building.## Full description AI only answers correctly when it can trust the data underneath it.

This role owns two connected parts of how Sigma shows up in that world: where Sigma's experience lives outside its own product (MCP, a CLI, the Claude and ChatGPT marketplaces, integrations like Slack, Teams, and Glean), and the semantic layer that makes every one of those surfaces trustworthy.

The first mandate is Sigma's AI ecosystem: defining Sigma's approach to MCP, giving external agents structured, governed access to Sigma's data model; owning the CLI, giving developers a fast way to work with Sigma outside the UI; and building Sigma's presence in the Claude and ChatGPT marketplaces, plus integrations for Slack, Teams, Glean, and similar surfaces, so people can reach Sigma's data wherever they already work.

This is some of the most visible, fastest-growing surface area in the product.

The second mandate is the semantic layer underneath it all. Every agent, chat answer, and integration is only as reliable as the data model behind it — get a metric definition wrong here, and every surface built on top inherits the mistake. This includes setting the roadmap for how semantic views connect across data platforms and how the model evolves as new AI capabilities emerge.

What you'll do
• Define Sigma's approach to MCP, giving external agents and tools structured, governed access to Sigma's data model.
• Own the CLI roadmap, giving developers a fast, scriptable way to work with Sigma outside the UI.
• Build Sigma's presence in the Claude and ChatGPT marketplaces, along with integrations for Slack, Teams, Glean, and similar surfaces, so people can reach Sigma's data wherever they're already working.
• Set the roadmap for Sigma's data modeling strategy, including how semantic views connect across data platforms and how the semantic layer evolves as new AI capabilities emerge.
• Partner with engineering and design to ship integration and semantic modeling capabilities that hold up at enterprise scale.

What we're looking…