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
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
Turn best-fit customers into pipeline: lookalike modeling, automated outbound, LinkedIn plays, and surfacing champions and buyers inside companies already using the product
Run experiments across the PLG engine — content, integrations, backlinks, paid channels — and double down on what moves signups
Connect the stack through APIs, webhooks, and automation so data flows cleanly between analytics platforms (e.g. PostHog), CRMs, enrichment providers, and outbound tooling
Decide what tools stay and what gets cut — you own the stack
Build AI-powered internal tools; ship systems from prototype through rollout and adoption, then own governance and compliance
What We're Looking For
Required:
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.)
You've seen a great growth motion up close, or have been obsessively reverse-engineering how the best PLG companies grow
High agency in ambiguity: you call out what's broken, come with an opinion, and fix things without being asked
Disciplined about data hygiene — clean data is a practice, not a checkbox
Experience designing, instrumenting, and owning a growth data layer and dashboards that serve as the company's 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 including 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
Willingness to work on-site in San Francisco, Los Angeles, or New York City
Nice to Have:
You want to help invent a market, not just run someone else's process
Background at or close to high-growth developer tools or AI/ML infrastructure companies
Compensation & Benefits
Salary: $120,000 – $200,000 USD annually, depending on experience
Early-stage equity
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.