Sigma is hiring its first Senior Revenue Marketing Manager to design, build, and operationalize lifecycle marketing as a cohesive system, not a set of disconnected tactics. This role provides central ownership and accountability for how prospects and customers are guided from first touch through activation, expansion, and long-term value.
In this role, you’ll architect the strategy and operating model that translates marketing activity into predictable pipeline and ARR—using thoughtful lifecycle design, modern attribution, intelligent automation, and AI-enabled insights. You’ll ensure marketing operates with clarity, speed, and trust across teams, with shared definitions, measurable conversion points, and closed-loop learning.
This is a true builder role. You’ll define the blueprint, prove impact quickly, and scale it into a durable system that becomes a core advantage for Sigma’s go-to-market engine.
Responsibilities
Who You Are
Required Experience & Expertise:
The base salary range for this position is $140k - $170k 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.
Sigma is the AI apps and analytics platform connected to the cloud data warehouse. Using Sigma, business and technical teams can build intelligent, production-ready AI apps that accelerate and automate operational workflows. Sigma provides a spreadsheet interface, SQL and Python editors, visual builders, and native AI to help teams turn live data into interactive applications, analysis, reports, and embedded experiences.
Sigma announced its $200M in Series D financing in May 2024, to continue transforming BI through its innovations in AI infrastructure, data application development, enterprise-wide collaboration, and business user adoption. Spark Capital and Avenir Growth Capital co-led the Series D funding round, with additional participation from a group of past investors including Snowflake Ventures and Sutter Hill Ventures.The Series D funding, raised at a valuation 60% higher than the company’s Series C round three years ago, promises to further accelerate Sigma’s growth.
Come join us!
Sigma Computing 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, or veteran 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, and London.
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 USA, the UK, and Canada).
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 is the first business intelligence tool built for teams to explore their cloud data warehouse using an intuitive spreadsheet UI — no SQL required.
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