Head of Pipeline Strategy
Sigma Computing is looking for a Head of Pipeline Strategy to build and optimize the internal systems that power our GTM teams' pipeline generation. This role owns the analytical foundation of our sales plays: TAM/SAM profiling, signal identification, and performance measurement, ensuring every play we build actually drives the pipeline and ARR outcomes we're targeting. You'll partner closely with Sales, Business Development, Marketing, and Product, and report to the Global Manager of GTM Enablement. Based in San Francisco or New York.
What you will be doing:
- Own TAM/SAM profiling and signal identification, ensuring plays target the right accounts, personas, and buying signals, and tie directly to pipeline and ARR outcomes
- Serve as the analytical backbone for GTM programs: track message efficacy, conversion rates, and rep performance to guide what changes
- Measure program and campaign impact through rigorous reporting, using data to continuously refine plays rather than just report on them
- Build and lead a Pipeline Generation program with Sales, Business Development, Marketing, and Product, delivering field assets against targeted use cases and verticals
- Identify timely GTM campaign opportunities using data and market insight
- Project manage cross-functionally to pull together what a strong pipeline program requires
- Collaborate with SMEs to define new sales plays for emerging product areas, plus the supporting assets (decks, sequences, discovery questions, call scripts)
Who you are:
- You think like an analyst first, comfortable owning TAM/SAM sizing, signal identification, and performance measurement, and you use data to prove whether a play is actually working
- You've operated as a program manager, pulling together Sales, Marketing, and Product toward a shared goal
- 7+ years in sales enablement, revenue operations, GTM engineering, marketing, or related roles, ideally with complex technical sales cycles
- Expert with AI, data, and the GTM tech stack
- Bachelor's degree in Business, Marketing, or related field preferred
Travel: Occasional travel between SF, NY, London, and Sydney offices, plus conferences/workshops as needed.
Base Compensation: $180,000 - $200,000 base, plus variable pay, stock options, and benefits.
By joining Sigma Computing, you’ll be stepping into a transformative role that will shape the sales trajectory of our organization. If you're ready to spearhead change and drive unparalleled sales performance, we're eager to meet you.
Additional Job details:
The base salary range for this position is $180,000 - $200,000 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 a variable pay (based on goal achievement), 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.
Skills Required
- 7+ years in sales enablement, revenue operations, GTM engineering, marketing, or related roles
- Experience owning TAM/SAM sizing, signal identification, and performance measurement
- Program/project management experience coordinating Sales, Marketing, and Product
- Expertise with AI, data, and the GTM tech stack
- Bachelor's degree in Business, Marketing, or related field
What We Do
Sigma is not another Business Intelligence tool. Sigma is the only Cloud Analytics solution with a spreadsheet-like interface that enables anyone to explore data at cloud scale and speed. Discover what happened, why it happened, and what will happen.
