Sigma ComputingDirector of Product Marketing, AI
Sigma Computing is hiring a Director of Product Marketing, AI in San Francisco, United States. It pays $235k-$270k a year and Level rates it ; you can apply on Sigma Computing.
Level's read on this job
- Works on AI ●●●○ is how Level rates this marketing role: the daily work is on AI products, without building the model.
- Pay on this posting starts 60% higher than the typical marketing posting on Level.
- The posting mentions Databricks, AI agents and product marketing among its tools and skills.
- Level classes it as a senior role.
- Sigma Computing has 76 other open roles on Level.
AI in this role
Lead go-to-market strategy and product marketing for AI runtime infrastructure and agentic workflows.
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 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.
How we rate this
Director of Product Marketing, AI at Sigma Computing rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in marketing jobs at this level
Pay
- This job starts at
- $235k
- Typical marketing job
- $147k
This posting starts 60% above the typical marketing job. See marketing jobs
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where product marketing was part of your work. What did you do?
- Tell me about a project where go to market strategy was part of your work. What did you do?
- Tell me about a project where enterprise ai was part of your work. What did you do?
- Tell me about a project where large language models was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI agents, Product Marketing, Go To Market Strategy, Enterprise AI, and Large Language Models. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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