GTM Engineer

Job summary

Responsibilities

We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers.

• Implement Go-to-Market software for our marketing, sales, and agent development teams
• Design and build the automated workflows, integrations, and AI-powered systems that turn signal into pipeline, across enrichment, scoring, routing, and outbound activation
• Own our enrichment infrastructure end-to-end: the pipelines that take a new signup, demo request, or event attendee list and return a fully enriched, scored, Salesforce-upserted…
• Build AI agents and AI-powered internal tools that compound sales team output — account research, call summarization, RFP and security questionnaire response, proposal…
• Build and improve the fit scoring pipeline that evaluates every account against our ICP and writes results to Postgres and Salesforce, including signal design, batching, retry…

What they're looking for

• 3+ years in GTM Engineering, Revenue Operations, Sales Engineering, Growth Engineering, or a closely adjacent technical role at a high-growth B2B SaaS company
• Python and TypeScript skills: You write clean code, understand async patterns, can design a database schema, and can debug a production incident from logs alone
• Hands-on experience inside a modern GTM stack (Salesforce, HubSpot, Outreach, Clay, enrichment providers): You understand how leads flow through a CRM and why data quality…
• Production experience with LLMs: Prompt design, eval loops, error handling, and the difference between a demo and a system you can trust at scale
• Strong working knowledge of SQL, schemas, and data flow across GTM and warehouse systems

Tech stack

• PostgreSQL
• Python
• TypeScript
• SQL