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 $200k - $235k 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.
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 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.
Sigma Computing San Francisco, California, USA Office
116 New Montgomery St, San Francisco, CA, United States, 94105
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