GTM Engineer

About the Role

This is a founding-team GTM Engineer role at a seed-stage AI infrastructure and developer tools company building the communication layer for AI agents. You'll own the entire growth data layer and outbound engine from day one — a high-agency, build-and-own position for someone who wants to invent a market rather than run an existing playbook.

What You'll Do

• Own the growth data layer end to end: instrument the funnel, enrich every signup, and build dashboards that serve as the company's source of truth.

• Turn top customers into pipeline through lookalike modeling, automated outbound, LinkedIn plays, and surfacing champions inside existing accounts.

• Run PLG experiments across content, integrations, backlinks, and paid channels — then double down on what drives signups.

• Connect the GTM stack through APIs, webhooks, and automation so data flows cleanly between analytics, CRM, enrichment providers, and outbound tooling.

• Own tooling decisions — decide what stays, what goes, and what gets built.

• Ship AI-powered internal tools from prototype through rollout and drive team-wide adoption.

What We're Looking For

• 3+ years in a GTM Engineer, Sales Engineer, or similar customer-facing technical role.

• Proficiency in at least one language (Python, TypeScript, JavaScript, SQL, or similar) with production code or projects to show for it.

• Strong technical foundation in CS, data science, or equivalent — comfortable wiring APIs, writing scripts, and working with AI coding tools.

• Hands-on experience designing and owning a growth data layer, dashboards, and data pipelines connecting analytics platforms, CRMs, enrichment providers, and outbound tools.

• Experience running PLG growth experiments: A/B testing, content, integrations, backlinks, paid channels, and lookalike modeling for outbound.

• Ability to ship AI-powered internal tools and see systems through from prototype to governed rollout.

• Experience with REST/GraphQL API design and cloud platforms (AWS, GCP, or Azure) or containerization (Docker/Kubernetes).

• High agency in ambiguity — you spot what's broken, form an opinion, and fix it without waiting to be asked.

• Organized enough that the systems you build don't rot; clean data is a discipline, not an afterthought.

• Bonus: Experience with Clay, n8n, enrichment waterfalls, or sending infrastructure; PostHog fluency; time spent at a technical PLG company.

Compensation & Benefits

Salary: $120,000 – $200,000 USD annually. Visa sponsorship is not available.

Location

On-site in Los Angeles, CA (San Francisco, CA or New York City, NY also considered). Remote work is not available for this role.