--- title: 'Director of Product Marketing, AI at Sigma Computing' canonical: 'https://feeny.ai/job/director-of-product-marketing-ai-sigma-computing-san-francisco-3g3kv68yjtym' type: 'job' last_seen: '2026-09-13' --- # Director of Product Marketing, AI at Sigma Computing - **Company:** Sigma Computing - **Location:** San Francisco, CA - **Posted:** 2026-06-26 - **Last confirmed live:** 2026-09-13 - **Apply:** https://job-boards.greenhouse.io/sigmacomputing/jobs/7784475003 ## Job description ## About the role AI and coding agents have made building enterprise apps nearly effortless and exposed a massive gap in the infrastructure to run them. Sigma is emerging as the AI Runtime Environment that makes enterprise AI actually work, and this role will tell that story to the market, why it matters, and help define and create this new category. As Director of Product Marketing for AI, you will own the positioning and go-to-market strategy for Sigma's overall AI narrative and its specific capabilities, including: natural language exploration, agentic workflows, and AI-powered application building (both internal and using external coding agents). This is a high-visibility, high-impact role that sits at the intersection of product, sales, and the market. You'll translate a rapidly evolving AI roadmap into sharp, differentiated messaging that resonates with data teams, business leaders, and the enterprise IT buyers who evaluate and approve AI investments. You will be a key voice in helping Sigma win the category. ## What you'll do - Define and own Sigma's AI product positioning and messaging from core value propositions to competitive differentiation and persona-specific narratives. - Partner with Product and Engineering to understand and influence Sigma's AI capabilities and roadmap. - Lead product launches for AI features and capabilities, coordinating across marketing, sales, customer success, and partnerships. - Partner with sales leadership and frontline reps to understand AI deal dynamics, competitive objections, and messaging gaps and incorporate learnings into improved positioning, content, and enablement. - Partner with the Enablement team, build and maintain sales enablement materials pitch decks, battlecards, demos, objection-handling guides that help the field win competitive AI deals. - Develop thought leadership content and market education programs that shape how the industry thinks about building with AI on enterprise data. - Conduct ongoing competitive intelligence and market analysis to keep Sigma's AI messaging sharp and defensible. - Serve as a Sigma expert and external spokesperson for Sigma's AI strategy and vision. ## What we're looking for - 8+ years of product marketing experience: driving product launches, building competitive differentiation, enabling sales teams to win, and shaping go-to-market strategy from concept to execution.. - Fluency in the enterprise AI landscape large language models, agentic AI, AI infrastructure, and the evolving ecosystem of AI tools and platforms. - A proven track record of developing product positioning and messaging that resonates with technical audiences and accelerates revenue in competitive markets. - Experience partnering closely with product management and engineering to understand and shape roadmap strategy through market and customer insight. - Strong written and verbal communication skills that enable you to explain complex AI concepts clearly. - A data-driven mindset with demonstrated ability to measure the impact of PMM programs on pipeline and win rates. - Experience in AI products, cloud data platforms, business intelligence, or analytics software space is a significant plus. Additional Job details The base salary range for this position is $235-$270k annually. 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 that is 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 - [Senior Revenue Accounting Manager](https://feeny.ai/job/senior-revenue-accounting-manager-sigma-computing-san-francisco-tmarven6ptbk) — San Francisco, CA - [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