Product Engineer

Twin Labs

71d

About The Position

At Twin, we're building a world where anyone can deploy AI agents capable of running real business operations. Not chatbots. Not copilots. Autonomous agents that take actions, make decisions, execute workflows, and create value. In just a few months, we've seen explosive adoption, thousands of users building businesses on top of Twin, and millions of agent actions executed. We're still at the beginning. We're looking for a Founding Product Engineer to help build the company that builds companies.

Requirements

Builders. People who create. People who ship. People who don't wait for permission.
Have built products people actually use.
Have launched startups, side projects, open-source projects, or meaningful products.
Think about users as much as technology.
Enjoy turning ideas into reality extremely quickly.
Thrive in ambiguity.
Naturally take ownership.
Care about product quality.
Love learning.
Comfortable with AI coding assistants (e.g., Cursor, Claude Code, Codex).
Comfortable with AI for debugging, prototyping, testing, and research.

Nice To Haves

Former founder
Early-stage startup experience
Open-source contributor
Exceptional side projects
Competitive programming background
Olympiad participant
Hacker mindset
Product obsession
Evidence of unusually fast learning

Responsibilities

Work directly with founders, users, and other builders to design, build, and ship product every day.
Move across product, engineering, design, AI, infrastructure, and growth whenever needed.
Build a new agent capability from scratch.
Design an onboarding flow that doubles activation.
Improve infrastructure supporting millions of executions.
Talk directly with power users.
Ship a feature in the morning and iterate on feedback the same afternoon.
Use AI to prototype something in hours that would previously have taken weeks.
Direct, evaluate, and collaborate with AI.
Use AI coding assistants as part of your daily workflow.
Pair-program with AI.
Generate and review large amounts of AI-generated code.
Use AI for debugging, prototyping, testing, and research.
Build dramatically faster without compromising quality.
Leverage AI as a force multiplier.
Use AI to build the right thing, verify it, and ship it.