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AgentMail — GTM Engineer

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: davidjoseph-co
Full Time position
Listed on 2026-07-21
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Backend Developer, Full Stack Developer
Salary/Wage Range or Industry Benchmark: 120000 - 250000 USD Yearly USD 120000.00 250000.00 YEAR
Job Description & How to Apply Below

Agent Mail — GTM Engineer

Type: Full-time | On-site | San Francisco, CA
Compensation: $120,000–$250,000 + 0%–2% equity
Hiring count: 1
Visa sponsorship: None available — US citizen or existing valid visa only
Reports to: Founder

About Agent Mail

Agent Mail is building the identity and communication infrastructure for AI agents, starting with email — giving agents their own persistent, fully-managed inboxes that handle parsing, threading, labeling, searching, and replying, so agents get the same email experience as humans. The company is above $2M ARR with close to 3,000 customers, largely PLG-driven on $20 and $200 plans, and is seeing 15,000–20,000 signups per month growing ~40% since the start of the year (largely organic via web traffic, Reddit, Twitter, Discord, and Linked In).

Raised $6M from General Catalyst, Y Combinator, Paul Graham, Paul Copplestone, and Karim Atiyeh, with a team coming from Optiver, Nvidia, and Accel.

Founded: 2026 | Team size: 1–10 (Seed) | Total funding: $6MIndustry: AI Tools Website: agentmail.to Office:
San Francisco, CA

Why Candidates Should Join
  • Category-defining infrastructure: Building the identity and communication layer (email first) for AI agents — a net-new, fast-growing category.
  • Real traction, early seat: $2M+ ARR, ~3,000 customers, 15–20K signups/month growing ~40% YTD — with meaningful equity (up to 2%) as an early hire.
  • First growth-systems hire, founder-adjacent: Owns the growth operating system end to end, reports directly to the founder, and has wide latitude to decide the stack and build from scratch.
Intake Call Summary
  • No intake-call transcript was provided on the role page. An intake video is available on Contrario but was not transcribed here — pull it directly if a summary is needed before sourcing.
The Role

Agent Mail is hiring a GTM Engineer to build the operating system for the company's growth playbook — turning a founder-run, personal-automation setup into a mapped, actionable system and owning the full growth pipeline end to end. This is a technical-first hire
: the founder is explicit that a technical degree and hands-on technical comfort matter more than formal GTM/growth experience, because deeply understanding the product is what earns internal buy-in.

What You’ll Be Doing
  • Build and own the data and reporting infrastructure that turns growth signals into actionable decisions (aggregating signup, product-usage, and engagement data into a single source of truth)
  • Decide what software and tooling the growth stack runs on, and what gets cut
  • Build outbound systems: lookalike targeting, Linked In 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 (web, Reddit, Twitter, Discord, Linked In) and evaluate new ones
  • Build lightweight AI tooling (e.g. Slack agents, dashboards) to make growth data actionable across the team

Tech stack: Not specified on the role page. 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
Green Flags
  • 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 Agent Mail's 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
Red Flags
  • 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…
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