GTM Engineer

Location: San Francisco, United States

Department: Sales

Location Type: REMOTE

Employment Type: FULL_TIME

• Build the GTM tech stack — HubSpot workflows, Apollo/Clay enrichment, outbound sequences, Fireflies/Gong telemetry, custom Slack alerting — and own the integrations between them.
• Design and ship custom demo environments, seeded with realistic hauler data, that AEs can spin up per prospect in minutes.
• Build AI agents into the sales workflow: pre-call account briefs, post-call summaries, proposal drafting, follow-up composition, and automated CRM hygiene — and measure adoption and impact.
• Stand up the data infrastructure for revenue: pipeline visibility, forecast accuracy tooling, attribution, and conversion analytics.
• Build customer service automation as needed: AI ticket triage, onboarding flows, and customer health and sentiment scoring.
• Partner with product engineering when a GTM problem actually needs a product change.

• You have 4+ years in a hybrid engineering + GTM role — Sales Engineer, RevOps Engineer, Solutions Engineer, GTM Engineer, or a developer who chose revenue.
• You write code (TypeScript / Python / SQL) and build with no-code where its faster (n8n, Make, Zapier, custom GPTs) — with strong opinions about when each is right.
• You have deep HubSpot or Salesforce admin/dev skills — youve designed CRM data models, not just clicked through them.
• Youve shipped AI agents in production — sales briefs, summarization, classification, retrieval over CRM and docs.
• You think like an SE and ship like an engineer — you can sit in on a demo, identify the friction, and build the tool that removes it the next week.