GTM Engineer
Job Description
Job Description
San Francisco, CA · On-site · Full-time
Compensation: $120,000–$250,000 + 0%–2% equity
We're an early-stage, venture-backed startup building the identity and communication infrastructure for AI agents, starting with email — giving agents their own persistent, fully-managed inboxes. We're above $2M ARR with close to 3,000 customers on a largely product-led model, seeing 15,000–20,000 signups per month and growing roughly 40% since the start of the year, largely organic.
Founded 2026 · 1–10 people · Industry: AI Tools
The RoleWe're hiring a GTM Engineer to build the operating system for our growth playbook. Today, growth runs almost entirely through the founder and a personal automation setup; this role turns that into a mapped, actionable system and owns the full growth pipeline end to end. This is a technical-first hire — deep hands-on technical comfort and understanding the product matter more than formal GTM or growth experience. Reports directly to the founder.
What you'll be doing
- Build and own the data and reporting infrastructure that turns growth signals into actionable decisions
- Decide what software and tooling the growth stack runs on, and what gets cut
- Build outbound systems: lookalike targeting, LinkedIn automation, warm-intro identification
- Own end-to-end orchestration of the growth pipeline, from signup through activation and expansion
- Partner closely with the founder to scale existing organic channels and evaluate new ones
- Build lightweight AI tooling (Slack agents, dashboards) to make growth data actionable across the team
Tech stack: Not specified — work spans data/reporting infrastructure, outbound automation, and lightweight internal AI tooling.
Requirements- New grad to 6-7+ years experience
- Technical degree or equivalent hands-on ability
- Scrappy, fast-building, low ego
- US citizen or existing visa only
- High ownership, no playbook to inherit
- SF in-person
- Genuine passion and proactivity: calls out what's wrong and takes ownership of fixing it without waiting to be assigned
- Deep interest in and understanding of the product and technical infrastructure, demonstrated before the first conversation
- Technical background (CS, data science, or comparable) paired with a scrappy, fast-building mindset
- Prior experience at a technical, high-caliber startup (Firecrawl, Ramp, Clay, or comparable)
- Low ego: high caliber without needing to be the center of attention
- High ego or a track record of not doing well in flat, high-ownership team structures
- Treats the role as a stepping stone rather than a genuine long-term bet on the company
- Non-technical background with no demonstrated ability to build or iterate on systems
- Seeking a people-management path rather than staying hands-on as an individual contributor
- Comes in cold without having researched the product or company beforehand
- Category-defining infrastructure for AI agents, a net-new and fast-growing category
- Real traction: $2M+ ARR, ~3,000 customers, 15–20K signups/month growing ~40% YTD
- First growth-systems hire, reporting directly to the founder, with meaningful equity and wide latitude to build from scratch
- Location: San Francisco, CA
- Work policy: On-site (SF in-person)
- Compensation: $120,000–$250,000 + 0%–2% equity
- Visa sponsorship: None available — US citizen or existing valid visa only
- Employment type: Full-time
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