Group Product Manager, AI Ecosystem & Semantic Layer - Sigma
About The Position
Sigma is seeking a Group Product Manager to own two critical areas of its AI ecosystem and semantic layer. This role will define Sigma's approach to external integrations and agent access, ensuring trustworthy data through a robust semantic layer. The position involves defining Sigma's presence in marketplaces like Claude and ChatGPT, developing integrations with tools such as Slack, Teams, and Glean, and owning the CLI for developer access. Additionally, the role will set the roadmap for the semantic layer, focusing on cross-platform data model connections and evolution with new AI capabilities. The ideal candidate will have experience in B2B SaaS, data platforms, and developer-facing products, with a strong understanding of data modeling and API integrations.
Requirements
- 5+ years of product management experience in B2B SaaS, data platforms, analytics, or developer-facing products
- Familiarity with MCP, APIs, or other machine-to-machine interfaces, and how agents consume structured data
- Experience building or launching integrations with platforms like Slack, Microsoft Teams, or enterprise search tools such as Glean
- Comfortable defining a CLI or other developer-facing product from the ground up
- Strong understanding of data modeling concepts (semantic layers, metrics layers, dimensional modeling) and how they connect across a modern data stack
Nice To Haves
- Some background in BI or analytics is a plus. You should be able to explain why a metric defined once in the semantic layer beats the same metric redefined five different ways across five different tools
Responsibilities
- 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.
Benefits
- Equity
- Generous health benefits
- Flexible time off policy. Take the time off you need!
- Paid bonding time for all new parents
- Traditional and Roth 401k
- Commuter and FSA benefits
- Lunch Program
- Dog friendly office
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
