GTM Engineer

About the Role

Join an early-stage, Y Combinator-backed AI infrastructure company building the communication and identity layer for AI agents. As a GTM Engineer , you will architect the systems behind the company's growth — owning the data pipeline, outbound engine, and the company-wide source of truth from day one. This is a high-agency, build-and-own role for someone who wants to help invent a market, not just run someone else's playbook.

The company operates at the intersection of AI tooling and developer infrastructure, providing API-first primitives that enable autonomous agents to communicate programmatically. The team is small (under 15 people) and backed by top-tier investors at the Seed stage.

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 its source of truth.

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

• Run experiments across the PLG engine — content, integrations, backlinks, paid — and double down on what moves signups.

• Connect the GTM stack through APIs, webhooks, and automation so data moves cleanly between analytics platforms, the CRM, enrichment providers, and outbound tooling (e.g. PostHog).

• Own tooling decisions — decide what tools get adopted and what gets cut.

• Build AI-powered internal tools and ship systems from prototype through rollout and adoption; hold the team accountable to the systems you build.

What We're Looking For

Required

• 3+ years working as a GTM Engineer, Sales Engineer, or similar technically-oriented growth/customer-facing role.

• Proficiency in at least one programming language (Python, JavaScript/TypeScript, Java, Go, or similar), demonstrated through production code or real projects.

• Strong technical foundation in CS, data science, or equivalent — you write real scripts in Python, TypeScript, or SQL and can wire APIs together.

• Experience designing, instrumenting, and owning a growth data layer and dashboards that serve as a company-wide source of truth.

• Hands-on experience building and maintaining data pipelines that move data between analytics platforms, CRMs, enrichment providers, and outbound tools via APIs and webhooks.

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

• Ability to ship AI-powered internal tools and take systems from prototype through rollout with adoption and governance.

• Experience with API design, REST/GraphQL, or integration patterns.

• Experience with cloud platforms (AWS, GCP, or Azure) or containerization (Docker, Kubernetes).

• Experience with SQL databases or data querying.

• Experience with Git and collaborative development workflows.

• You've seen a great growth motion up close — or obsessively reverse-engineered how the best PLG companies scale.

• High agency in ambiguity: you call out what's broken, come with opinions, and fix things without being asked.

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

• Willing to work on-site in San Francisco, Los Angeles, or New York City.

Bonus / Nice to Have

• Hands-on experience with Clay, n8n, enrichment waterfalls, or sending infrastructure.

• PostHog fluency.

• Experience shipping agentic workflows or internal AI tooling.

• Time spent at a technical PLG company.

• Experience with infrastructure-as-code or DevOps tooling.

• Experience with monitoring, logging, or observability tools.

• Background at a SaaS or B2B software company.

Visa sponsorship: Not available.

Compensation & Benefits

• Salary: $120,000 – $200,000 USD annually, depending on experience.

• Early-stage equity in a well-funded, fast-growing company.

Location

This is a fully on-site role. The primary location is Los Angeles, CA , with the option to work on-site in San Francisco, CA or New York City, NY .