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GTM Engineer

Gamma - San Francisco, California, United States

Posted Nov 7, 2025

Benefits

Parental leave
Not verified
Non-birth-parent leave
Not verified
Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
Not verified
Relocation assistance
Not verified
Childcare support
Not verified
Learning budget
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Verification
Not verified
Salary
$170K-$215K From the posting source checked Jun 20, 2026
401(k) match
Not verified

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Market context

U.S. role benchmark (BLS OEWS)
$93,011 U.S. median for this role
Projected growth (BLS Employment Projections)
+5.1% - Faster than average

107% above the BLS role benchmark for marketing aggregate.

Matched to SOC 13-1161 - Marketing aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Marketing From the posting source checked Jun 20, 2026
Seniority
Mid From the posting source checked Jun 20, 2026

Schedule

Shift type
Not verified
Weekend work
Not verified

Company

Equity
Offered From the posting source checked Jun 20, 2026

Application

Cover letter
Not verified
Assessment
Not verified
Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

GTM Engineer San Francisco, California, United States About the role You'll build the AI-native GTM systems and data infrastructure that turn product usage signals into enterprise sales opportunities. Gamma's PLG flywheel generates enormous engagement data across millions of users. Your job is to create the systems that identify which accounts should talk to sales, when they're ready, and why. This is a 0-to-1 role at the intersection of data, product, and revenue. You'll build Product Qualified Lead identification systems, design AI-powered lead scoring models, and implement data pipelines that give sales and customer success real-time visibility into engagement and expansion signals. You'll partner with Product and Data teams to instrument tracking, ensure data quality, and continuously improve how we identify and convert high-intent accounts. Our team has a strong in-office culture and works in person 4-5 days per week in San Francisco. We love working together to stay creative and connected, with flexibility to work from home when focus matters most. What you'll do - Build Product Qualified Lead (PQL) identification systems that surface enterprise buying signals based on team expansion, engagement, feature adoption, and company attributes - Build AI agents for automated account research using LLM APIs to analyze company websites, news, funding events, and tech stacks, generating personalized talking points for sales - Design and implement data pipelines from product usage data to HubSpot, enabling sales and CS teams to see real-time engagement, usage trends, and expansion signals - Create AI-powered lead scoring models combining product behavior, firmographics,

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