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About the Role

Sigma Computing is seeking a Head of Pipeline Strategy to optimize internal systems for GTM teams' pipeline generation. This role is crucial for the analytical foundation of sales plays, focusing on TAM/SAM profiling, signal identification, and performance measurement to ensure targeted pipeline and ARR outcomes. The position involves close collaboration with Sales, Business Development, Marketing, and Product, reporting to the Global Manager of GTM Enablement.

Responsibilities

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 changes
Measure program and campaign impact through rigorous reporting, using data to continuously refine plays
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)

Requirements

Think like an analyst first, comfortable owning TAM/SAM sizing, signal identification, and performance measurement, and use data to prove whether a play is actually working
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
Occasional travel between SF, NY, London, and Sydney offices, plus conferences/workshops as needed

Skills

AI
Data analysis
GTM tech stack
Sales enablement
Revenue operations
GTM engineering
Marketing
Program management
TAM/SAM sizing
Signal identification
Performance measurement
Reporting
Cross-functional project management

Location

San Francisco
New York
London
Sydney

Work Type

In-office

Experience Level

7+ years

Education Level

Bachelor's degree

Salary/Compensations

$180,000 - $200,000 base
Variable pay
Stock options

Benefits

Equity
Generous health benefits
Flexible time off policy
Paid bonding time for all new parents
Traditional and Roth 401k
Commuter and FSA benefits
Lunch Program

About the Company

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.

Equal Opportunity

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.