AgentMail

Infrastructure for the Agent Economy

AgentMail is building the first email provider specifically designed for AI agents. As AI agents evolve from simple chatbots to autonomous virtual employees, they require real internet identities to book meetings, negotiate contracts, and coordinate workflows. Founded in 2025 by Haakam Aujla, Michael Kim, and Adi Singh—alumni of Optiver, Nvidia, and Accel—the San Francisco-based startup provides an API that allows developers to programmatically create and manage dedicated email inboxes for their agents. With a recent $6M Seed round led by General Catalyst and participation from Y Combinator (S25), AgentMail is scaling its infrastructure to support the exploding demand in the agent economy.

A Culture of First-Class Agentic Infrastructure

AgentMail operates with the conviction that the next billion internet users will be AI agents, and they deserve infrastructure built for their unique needs. The culture is deeply engineering-focused, treating system architecture and reliability as paramount because they are designing for a completely new class of users. Backed by industry heavyweights like Dharmesh Shah (HubSpot), Paul Copplestone (Supabase), and Karim Atiyeh (Ramp), the team values speed of execution and clarity of vision. As a small, elite team of 8, they prioritize shipping robust, scalable solutions over legacy workarounds.

What You'll Actually Do

Engineers at AgentMail tackle unprecedented challenges in building a massive-scale email provider from scratch. You will not be building wrappers around Gmail; instead, you will architect a high-throughput, highly available infrastructure on AWS using API Gateway, Lambda, DynamoDB, S3, and SQS. The entire stack is written in TypeScript and configured with Pulumi. Backend and infrastructure engineers will focus on programmatic inbox creation, two-way communication threading, real-time events via webhooks/websockets, and semantic search across massive organizations. Strategy and GTM leads will define the go-to-market motion for a completely new category of developer tools, engaging with builders who are creating the next generation of autonomous workflows.

Compensation & Benefits

AgentMail offers highly competitive compensation packages typical of well-funded, early-stage YC startups. Based on their public job postings, Founding Engineers can expect a base salary of $150K–$250K with 0.50%–2.00% equity. Senior Backend/Infrastructure Engineers command $250K–$400K with 1.00%–2.00% equity. Go-to-Market and Strategy roles range from $110K to $250K, depending on experience, with generous equity components. The company supports both on-site and hybrid work models in San Francisco, and notably offers visa sponsorship for senior engineering roles.

The Interview Process

While specific interview rounds are not widely publicized given the company's early stage, candidates can expect a rigorous process tailored to an elite 8-person team. Engineering interviews likely index heavily on systems design, cloud architecture (AWS), and TypeScript proficiency, given their tech stack. GTM and Strategy candidates should be prepared to discuss developer marketing, API product growth, and the evolving landscape of AI agents. Expect direct conversations with the founders (Haakam, Michael, and Adi) focusing on technical depth, product vision alignment, and the ability to operate autonomously in a fast-paced environment.

Why Join / Why Not

Why Join: AgentMail offers a rare opportunity to build foundational infrastructure for a massive paradigm shift—the agent economy. You will be working with a top-tier founding team, backed by elite investors (General Catalyst, YC), solving hard distributed systems problems. The equity upside at this stage (Seed) is significant, and the product is already seeing organic adoption from autonomous agents signing themselves up.

Why Not: This is a very early-stage startup (founded in 2025) creating a new category. The risk profile is high, and the environment will require immense adaptability and long hours. If you prefer established processes, large teams, or are uncomfortable with the ambiguity of building tools for non-human users, this might not be the right fit. The roles are primarily based in San Francisco, requiring physical presence for most positions.