Build and own AgentMail's growth data pipelines, outbound engines, lookalike modeling, and PLG experiments as the company's single source of truth for growth. Requires technical scripting in Python/TypeScript/SQL, high agency, and experience with growth motions at PLG companies.
Salary not listed
On-siteGTM Engineering
About the role
What You'll Do
Own the growth data layer end to end: instrument the funnel, enrich every signup, and build the dashboards the company treats as the source of truth.
Turn our best customers into ten more: lookalike modeling, automated outbound, LinkedIn plays, and surfacing champions and buyers inside companies already using us.
Run experiments across the PLG engine (content, integrations, backlinks, paid) and double down on what moves signups.
Connect the stack through APIs, webhooks, and automation so data moves cleanly between PostHog, our CRM, enrichment providers, and outbound tooling.
Decide what tools we use and what gets kicked to the curb. You own the stack.
Build AI-powered internal tools.
Ship systems from prototype through rollout and adoption, then hold your ground. You built it, the team follows it.
What We're Looking For
A technical foundation: CS, data science, or equivalent. You write real scripts in Python/TypeScript/SQL, wire APIs together, and are dangerous with Claude Code or Codex.
You've seen a great growth motion up close, or you've been obsessively reverse-engineering how the best PLG companies grow.
High agency in ambiguity: you call out what's broken, come with an opinion, and fix things without being asked.
Low ego, high buy-in.
Organized enough that the systems you build don't rot. Clean data is a discipline, not a feature.
You want to help invent a market, not just run someone else's process.
Bonus Points
Hands-on experience with tools like Clay, n8n, enrichment waterfalls, or sending infrastructure.
PostHog fluency (we live in it).
You've shipped agentic workflows or internal AI tooling before.
You've worked at or studied a technical PLG company up close.
Embedded with marketing teams to identify, build, and scale AI-powered tools, agents, and automations that transform workflows. Requires 5+ years experience building AI solutions that changed real processes, plus coaching and communication skills to drive adoption.
Salary not listed
Remote5+ YOEGTM Engineering
GTM Engineer
hudSan Francisco, CA
Build and own end-to-end outbound GTM pipeline for AI training data platform, including technical outreach to ML engineers and AI researchers, workflow automation with AI tools, and deal closing. Requires engineering background, GTM tooling expertise, and startup experience.
Salary not listed
HybridGTM Engineering
GTM AI Engineer
Customer.ioUnited States
GTM AI Engineer responsible for taking prototype AI agents to production-grade systems. Owns observability, deployment pipelines, database interactions, monitoring, and reliability on GCP for the GTM team's 11+ agents serving 120 users.
140k – 170k
Remote4+ YOEGTM Engineering
GTM Engineer, Warp Insurance Services
WarpNew York, NY
Build and own the end-to-end go-to-market motion for Warp Insurance Services, converting payroll clients to benefits, building broker/CPA channels from scratch, and hitting covered-employee onboarding targets while designing the supporting systems and processes.
Salary not listed
On-site4+ YOEGTM Engineering
GTM Operations Engineer
K1XUnited States
GTM Operations Engineer building and shipping AI-powered agents, workflows, and integrations using n8n, Claude, and Lovable to automate the full customer lifecycle from onboarding through renewal and expansion. Translate playbooks into automated systems across HubSpot, Pendo, Snowflake and other GTM tools, with a focus on measurable business outcomes, data quality, and reducing manual processes.