GTM Engineer
About the Role
Join a fast-moving, seed-stage 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 product is an API-first email infrastructure platform purpose-built for AI agents — enabling them to send, receive, and manage email programmatically. The company is backed by top-tier investors and growing quickly in the developer tools and AI infrastructure space.
What You'll Do
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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.
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Turn top customers into ten more through lookalike modeling, automated outbound, LinkedIn plays, and surfacing champions inside existing accounts.
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Run experiments across the PLG engine — content, integrations, backlinks, paid — and double down on what drives signups.
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Connect the GTM stack through APIs, webhooks, and automation so data flows cleanly between analytics platforms, CRMs, enrichment providers, and outbound tooling.
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Own tooling decisions: evaluate, adopt, and retire tools as the stack evolves.
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Build AI-powered internal tools and ship systems from prototype through rollout, adoption, and governance.
What We're Looking For
Required
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3+ years of experience as a GTM Engineer, Sales Engineer, or similar customer-facing technical role building and delivering solutions.
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Proficiency in at least one programming language (Python, TypeScript/JavaScript, SQL, or similar) demonstrated through production code or real projects.
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Solid technical foundation in CS, data science, or equivalent — you write real scripts, wire APIs together, and are comfortable with modern AI coding tools.
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Hands-on experience designing, instrumenting, and owning a growth data layer and the dashboards that serve as a company's source of truth.
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Experience building and maintaining data pipelines that move data between analytics platforms, CRMs, enrichment providers, and outbound tools via APIs and webhooks.
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Experience running PLG growth experiments — A/B testing, content, integrations, backlinks, paid channels, and lookalike modeling for outbound.
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Ability to ship AI-powered internal tools from prototype through full rollout with adoption and governance.
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Experience with API design, REST/GraphQL, or integration patterns.
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Experience with cloud platforms (AWS, GCP, or Azure) and/or containerization (Docker, Kubernetes).
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Experience with SQL databases and data querying.
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Comfortable with Git and collaborative development workflows.
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High agency in ambiguity: you call out what's broken, form an opinion, and fix things without being asked.
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Organized enough that the systems you build don't rot — clean data is a discipline, not a feature.
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Able to work on-site in San Francisco, Los Angeles, or New York City.
Bonus / Nice to Have
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Hands-on experience with Clay, n8n, enrichment waterfalls, or email sending infrastructure.
- PostHog fluency.
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Experience shipping agentic workflows or internal AI tooling.
- Background at a technical PLG company.
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Experience with infrastructure-as-code or DevOps tooling.
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Experience with monitoring, logging, or observability tools.
Compensation & Benefits
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Salary: $120,000 – $200,000 USD annually, depending on experience.
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Early-stage equity in a well-backed company at the ground floor of the AI agent communication market.
Visa sponsorship is not available for this role.
Location
This is a fully on-site role. Candidates must be willing and able to work in person at one of the following offices: San Francisco, CA · Los Angeles, CA · New York City, NY .
Originally posted on Himala