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 .