engineering
Posted Nov 7, 2025GTM Engineer
at Gamma
San Francisco, United StatesOn-site
Requirements
- ABOUT THE ROLE You'll build the AI-native GTM systems and data infrastructure that turn product usage signals into enterprise sales opportunities.
- 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.
- 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
- experience in a GTM Engineer, Growth Engineer, Revenue Ops, or Analytics Engineering role at a PLG B2B SaaS company - Strong technical foundation in Python and SQL with
- experience building data pipelines, ETL/reverse ETL workflows, and integrating product data with GTM systems like HubSpot or Salesforce - API integration expertise with
- experience building workflows using tools like n8n, Zapier, Make, or Tray.io - Deep understanding of PLG metrics with the ability to operationalize activation, engagement, and expansion signals, and a track record of building systems (PQL models, AI agents, predictive analytics) that drove measurable pipeline or revenue - Scrappy builder mindset with the judgment to balance custom builds versus off-the-shelf tools, ideally with
- experience helping build early data systems fueling a PLG-to-enterprise transition - Data warehouse
- experience (Snowflake, BigQuery, Redshift) and familiarity with dbt or similar transformation tools (Nice to have) - Production machine learning
Benefits
- experience building, deploying, and monitoring predictive models (Nice to have) COMPENSATION RANGE: The base salary for this full-time position, which spans multiple internal levels depending on qualifications, ranges between $170K - $215K plus
- benefits & equity. Final offer amounts are determined by multiple factors, including but not limited to experience and expertise in the
Additional details
- 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 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.
- requirements listed above. If you're interested in this role but you don't meet every requirement, we encourage you to apply anyway! We're always excited about meeting great people.