Product Engineer
WFA Digital Insight
At Twin Labs, the founding Product Engineer slot reads less like a conventional software job and more like a daily sprint across product, AI, and infrastructure. The team is still tiny, meaning the engineer will sit beside founders, iterate on user feedback within hours, and shape core features that power autonomous AI agents—not chatbots. Responsibility ranges from building new agent capabilities to redesigning onboarding flows that directly affect user activation. Candidates who have launched their own products or open‑source tools will feel at home, as the role rewards rapid prototyping and ownership over the entire stack. Success hinges on comfort with AI‑assisted coding tools and a willingness to thrive amid ambiguity.
Job Description
FOUNDING PRODUCT ENGINEER BUILD THE FUTURE OF AUTONOMOUS COMPANIES 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. THE ROLE This is not a traditional software engineering role. You won't receive tickets from a product manager. You won't spend months discussing roadmaps. You won't optimize a tiny corner of an existing system. You'll work directly with founders, users, and other builders to design, build, and ship product every day. You'll move across product, engineering, design, AI, infrastructure, and growth whenever needed. One day you might: - 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 If that sounds exciting, keep reading. WHO WE'RE LOOKING FOR We're looking for builders. People who create. People who ship. People who don't wait for permission. You might be a fit if: - You've built products people actually use - You've launched startups, side projects, open-source projects, or meaningful products - You think about users as much as technology - You enjoy turning ideas into reality extremely quickly - You thrive in ambiguity - You naturally take ownership - You care about product quality - You love learning AI-NATIVE ENGINEERING We believe the best engineers of the next decade will not be those who type the fastest. They will be those who can effectively direct, evaluate, and collaborate with AI. AI coding assistants should already be part of your daily workflow. Cursor. Claude Code. Codex. Or whatever tools help you move faster. You should be comfortable: - Pair-programming with AI - Generating and reviewing large amounts of AI-generated code - Using AI for debugging, prototyping, testing, and research - Building dramatically faster without compromising quality - Leveraging AI as a force multiplier The question is no longer: "Can you write the code?" The question is: "Can you use AI to build the right thing, verify it, and ship it?" STRONG SIGNALS These are not requirements, but they tend to correlate with success here: - 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 WHAT WE VALUE OWNERSHIP You see a problem, you solve it. SPEED Fast iteration beats endless planning. JUDGMENT Good decisions scale better than good code. AMBITION We're building something that shouldn't be possible. CRAFT Fast doesn't mean sloppy. WHY TWIN? Most companies hire engineers to execute a roadmap. At Twin, you'll help define it. Most engineers optimize existing systems. At Twin, you'll help invent new ones. Most jobs offer impact on a feature. This one offers impact on the future of the company. IF YOU'VE EVER THOUGHT: "I wish I had joined earlier." This is one of those moments.
How to Stand Out
- Showcase a portfolio that includes a product you built end‑to‑end, emphasizing rapid iteration and user impact.
- Demonstrate familiarity with AI coding assistants in your resume or a short video; interviewers will expect you to use them daily.
- Prepare concrete examples of how you owned ambiguous projects and delivered measurable results.
- Highlight any open‑source contributions or side projects that involve AI or large‑scale infrastructure.
- During interviews, ask about the current agent ecosystem and how the team measures activation; it shows genuine interest.
- Be ready to walk through a live coding session using an AI tool, explaining your prompts and validation steps.
- If compensation isn’t disclosed, research typical equity ranges for founding engineers at early‑stage AI startups to negotiate confidently.
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