About the Role
We're hiring a GTM Engineer to build the machine behind our growth: the data pipeline, the outbound engine, and the source of truth the whole company runs on. This is a build-and-own role, not a support role.
We're an early-stage AI infrastructure company building core communication and identity primitives for AI agents — think programmable inboxes, structured message parsing, webhook routing, and persistent agent identity. We're moving fast in a category without a playbook, and this role sits at the intersection of engineering and growth.
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 become the company's source of truth
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Turn best-fit customers into pipeline: lookalike modeling, automated outbound, LinkedIn plays, and surfacing champions and buyers inside companies already using the product
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Run experiments across the PLG engine — content, integrations, backlinks, paid channels — and double down on what moves signups
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Connect the stack through APIs, webhooks, and automation so data flows cleanly between analytics platforms (e.g. PostHog), CRMs, enrichment providers, and outbound tooling
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Decide what tools stay and what gets cut — you own the stack
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Build AI-powered internal tools; ship systems from prototype through rollout and adoption, then own governance and compliance
What We're Looking For
Required:
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Technical foundation in CS, data science, or equivalent — you write real scripts in Python, TypeScript, and/or SQL, wire APIs together, and are comfortable with AI coding tools (Claude Code, Codex, etc.)
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You've seen a great growth motion up close, or have been obsessively reverse-engineering how the best PLG companies grow
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High agency in ambiguity: you call out what's broken, come with an opinion, and fix things without being asked
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Disciplined about data hygiene — clean data is a practice, not a checkbox
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Experience designing, instrumenting, and owning a growth data layer and dashboards that serve as the company's source of truth
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Hands-on 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 with PLG growth experiments including A/B testing, content, integrations, backlinks, paid channels, and lookalike modeling for outbound campaigns
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Ability to ship AI-powered internal tools and take systems from prototype through rollout with adoption and governance
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Willingness to work on-site in San Francisco, Los Angeles, or New York City
Nice to Have:
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You want to help invent a market, not just run someone else's process
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Background at or close to high-growth developer tools or AI/ML infrastructure companies
Compensation & Benefits
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Salary: $120,000 – $200,000 USD annually, depending on experience
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Early-stage equity
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Visa sponsorship: Not available
Location
This is a full-time, on-site role. Candidates must be willing to work on-site in San Francisco, CA, Los Angeles, CA, or New York City, NY. San Francisco is the primary location.
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