---
title: 'Senior/Group Product Manager, AI Ecosystem & Semantic Layer at Sigma Computing'
canonical: 'https://feeny.ai/job/senior-group-product-manager-ai-ecosystem-semantic-layer-sigma-computing-san-4prxwca3cwy7'
type: 'job'
last_seen: '2026-09-06'
---

# Senior/Group Product Manager, AI Ecosystem & Semantic Layer at Sigma Computing

- **Company:** Sigma Computing
- **Location:** San Francisco, CA
- **Posted:** 2026-06-10
- **Last confirmed live:** 2026-09-06
- **Apply:** https://job-boards.greenhouse.io/sigmacomputing/jobs/7767898003

## Job 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 for

- 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
- 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

Additional Job Details

The base salary range for this position is $200k – $250k annually, plus competitive equity and benefits packages.

Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies, and experience. Base pay is one part of the Total Package provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for stock options, as well as a comprehensive benefits package. About us:

Sigma is the AI Apps and agentic analytics platform built on the cloud data warehouse. Business and technical teams use Sigma to explore live data, build intelligent applications, and automate critical workflows all without moving data or breaking governance. Sigma supports a spreadsheet interface, SQL, Python, and native AI in a single governed workspace, giving every team the speed to act and IT the control to scale. Sigma is trusted by more than 2,000 customers, including AMD, Duolingo, Colgate-Palmolive, and JPMorgan Chase.

Sigma announced its $80M in Series E financing in May 2026. The round was led by Princeville Capital, with new strategic investors Databricks Ventures, ServiceNow Ventures, and Workday Ventures participating alongside returning investors Altimeter Capital, Avenir Growth Capital, D1 Capital Partners, K5 Global, NewView Capital, Spark Capital, Sutter Hill Ventures, and XN. This milestone follows Sigma reaching $200M in annual recurring revenue in April 2026, with more than 100% year-over-year growth and 1.1 million new active users added in the latest fiscal year.

Come join us!

Benefits For Our Full-Time Employees:

- 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

Sigma is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, veteran, or any other protected status. We look forward to learning how your experience can enable all of us to grow.

Note: We have an in-office work environment in all our offices in SF, NYC, London and Sydney. All roles have a 25% travel expectation unless explicitly stated otherwise.

Our Privacy Practices

When you submit a job application on this site, Sigma processes your personal data for the purposes of evaluating your candidacy for employment at Sigma and as otherwise needed throughout the recruitment and hiring process. Please review Sigma’s [Candidate Privacy Notice](https://www.sigmacomputing.com/legal/candidate-privacy-notice) for more details. Please note that your personal data may be transferred to a country other than the one in which it was provided (including to the USA, the UK, and Canada, Australia).

Sigma’s use of AI

This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.

## About Sigma Computing

## Company Overview
- **One-liner**: Sigma Computing provides an AI-powered analytics and application platform that enables business and technical teams to build governed AI apps and dashboards directly on their cloud data warehouse.
- **Entity Type**: Private (Series E, $3B valuation as of May 2026)
- **Headquarters**: San Francisco, California, United States
- **Founded**: Not publicly available
- **Founders**: Mike Palmer (CEO), Rob Woollen (CTO/Co‑founder) [sigmacputing.com/company](https://www.sigmacomputing.com/company)

## Core Business
- **Primary industry**: Analytics and Business Intelligence, AI Applications
- **Target customers**: B2B, Enterprise, data and analytics teams, business users
- **Mission or purpose statement**: “Help us build the future of AI, data apps, and analytics.” [sigmacomputing.com/company/careers](https://www.sigmacomputing.com/company/careers)

## Products & Services
- **Sigma Platform**: Warehouse‑native analytics workspace with spreadsheet, SQL, Python, and visual builders for live query, writeback, and collaboration.
- **Sigma Agents**: No‑code AI agents that operate within governed warehouse data to automate workflows.
- **Sigma Assistant**: AI copilot for natural‑language data questions and app building.
- **Sigma Data Modeling Skills for AI Agents**: Lets data engineers build and manage Sigma models from AI coding tools like Claude Code, Cursor, and Snowflake Cortex Code.
- **Sigma MCP Server**: Provides governed answers from data directly in AI chat assistants such as ChatGPT and Claude.

## Market Standing
- **Valuation**: $3 billion (Series E, May 2026) [sigmacomputing.com/resources/announcements/series-e](https://www.sigmacomputing.com/resources/announcements/series-e)
- **Key Metric**: $200M Annual Recurring Revenue (as of April 2026); Total funding $581.3M across 7 rounds [LinkedIn](https://www.linkedin.com/company/sigmacomputing)
- **Notable Investors/Partners**: Princeville Capital (lead), Databricks Ventures, ServiceNow Ventures, Workday Ventures, Altimeter Capital, Avenir Growth Capital, D1 Capital Partners, K5 Global, NewView Capital, Spark Capital, Sutter Hill Ventures, XN; J.P. Morgan and Allen & Company as placement agents. Key partners: Snowflake (BI Partner of the Year), Databricks, Fivetran. [series‑e page, careers page]
- **Growth Signals**: $200M ARR (doubled YoY), 2,000+ customers including Fortune 10, 1.1M+ new active users added in last fiscal year, 100%+ YoY growth, headcount 730 (+43.9% YoY), APJ expansion with Sydney HQ, Sigma Agents fastest adopted feature, 2025 Gartner Magic Quadrant for Analytics and BI, 2024 SaaS Award for Highest Customer Satisfaction. [LinkedIn, series‑e page](https://www.sigmacomputing.com/resources/announcements/series-e)

## Competitive Advantages
- **Warehouse‑native architecture**: Queries data directly in the cloud warehouse – security, governance, audit, and lineage are inherited at the source.
- **Multi‑modal interface**: Spreadsheet, SQL, Python, and AI in one workspace, enabling every user type.
- **Governed AI**: Build AI apps/agents without moving data; full IT control over permissions and telemetry.
- **Strong ecosystem**: Deep integrations with Snowflake, Databricks, Fivetran; recognized as top partner by major data platforms.

## Strategic Focus
- **AI‑first product expansion**: Accelerating agentic analytics, copilot, and MCP server capabilities.
- **International growth**: New APJ headquarters in Sydney, continued EMEA presence (London office).
- **Enterprise scale**: Targeting larger deployments with governed AI and operational workflows.
- **Developer enablement**: Supporting vibe coding and AI coding agents (Cursor, Claude Code) for data model creation.

## Why Work Here
- **Culture**: Data‑driven, velocity‑ and learning‑focused; bi‑annual hackathons; flexible schedule and unlimited time off. [sigmacomputing.com/company/careers](https://www.sigmacomputing.com/company/careers)
- **Work environment**: Hybrid/remote flexibility (“work in the way that suits you”); offices in San Francisco, New York City, London, and Sydney.
- **Perks**: Daily lunch via DoorDash, unlimited snacks/coffee, Unagi scooter benefit; comprehensive health/dental/vision, parental leave; wellness benefits (Carrot Pro, Wellhub+, Rightway, OneMedical); 401(k) with match (US); pension with 3% match and commuter benefit (UK); competitive pay; professional development support (conferences, L&D, clear career progression). [careers page](https://www.sigmacomputing.com/company/careers)
- **Engineering culture**: Strong AI/ML, backend, frontend, fullstack roles; new grad program; focus on innovation, observability, and reliability. Many open engineering positions as the company scales rapidly.

## Sources
1. [Sigma Computing Careers Page](https://www.sigmacomputing.com/company/careers)
2. [Sigma Computing Homepage](https://www.sigmacomputing.com/)
3. [Sigma Computing Company / Mission Page](https://www.sigmacomputing.com/company)
4. [Sigma Computing LinkedIn Profile](https://www.linkedin.com/company/sigmacomputing)
5. [Sigma Series E Announcement](https://www.sigmacomputing.com/resources/announcements/series-e)

## Other roles at Sigma Computing

- [Enterprise Solution Engineer - Central](https://feeny.ai/job/enterprise-solution-engineer-central-sigma-computing-united-states-wggz5fy1jasv) — United States
- [Enterprise Solution Engineer - West](https://feeny.ai/job/enterprise-solution-engineer-west-sigma-computing-san-francisco-2gxptv6y9syt) — San Francisco, CA
- [Renewals Manager](https://feeny.ai/job/renewals-manager-sigma-computing-new-york-z7189q9wm5fb) — New York, NY
- [Manager, Commercial Solution Engineering](https://feeny.ai/job/manager-commercial-solution-engineering-sigma-computing-san-francisco-j4y3ny0jtycq) — San Francisco, CA
- [Regional Sales Manager - EMEA](https://feeny.ai/job/regional-sales-manager-emea-sigma-computing-london-en2rn9jfvg2e) — London, United Kingdom
- [Enterprise Customer Success Manager — East (Bilingual: English/Spanish)](https://feeny.ai/job/enterprise-customer-success-manager-east-bilingual-english-spanish-sigma-bkxd9ax9wegz) — New York, NY
- [Enterprise Customer Success Manager - Central](https://feeny.ai/job/enterprise-customer-success-manager-central-sigma-computing-remote-9t6hqn343kpn)
- [Commercial Customer Success Manager - SF](https://feeny.ai/job/commercial-customer-success-manager-sf-sigma-computing-san-francisco-4jbqsz58wvcr) — San Francisco, CA
- [Enterprise Customer Success Manager - NY](https://feeny.ai/job/enterprise-customer-success-manager-ny-sigma-computing-new-york-h67v9eg9bh92) — New York, NY
- [Senior Revenue Accounting Manager](https://feeny.ai/job/senior-revenue-accounting-manager-sigma-computing-san-francisco-7rkzbp5zmdfz) — San Francisco, CA