Founding Product Engineer

About the Role

Join an early-stage consumer AI company as its founding product engineer, with end-to-end ownership of an AI assistant and its user experience. You will shape how the assistant reasons, communicates, and takes action, combining hands-on engineering with close product collaboration and regular user feedback.

Compensation & Benefits

Base salary: $200,000 to $300,000 annually. Visa sponsorship is not available.

Location

On-site in San Francisco, California.

Responsibilities

Build the assistant's agent architecture, including tool-use loops, memory, context assembly, prompt design, and model routing.; Create evaluation systems with conversation replay, turn-level assessment, and regression tests to guide release decisions.; Own product experiences across web and mobile, including onboarding, follow-ups, group conversations, approvals, and trusted-network features.; Ship features from discovery through experimentation and launch, using user feedback and product data to guide iteration.; Develop integrations with services such as email, calendars, bookings, and payments, along with reliable approval and recovery flows.; Review conversation transcripts, speak with users, and help set engineering standards as the team grows.

Requirements

At least 4 years of software engineering experience at an AI product company, AI lab, or consumer product company.; Production experience building agents with tool use, memory, and long-running conversations, plus evaluation systems trusted for release decisions.; Full-stack experience with TypeScript, React, Next.js, and Postgres.; Experience with third-party APIs, OAuth, payments, or agent tooling such as function calling, MCP servers, or browser automation.; A record of owning features end to end and demonstrating measurable product impact.; Strong product judgment, experience with AI-assisted development workflows, and the ability to validate and take responsibility for shipped work.; Experience leading a growing engineering team while remaining hands-on, post-training or fine-tuning experience is a plus.