Product Engineer — AI-Native Full Stack

Product Engineer: Build the products developers and creators actually want to use

San Francisco · On-site · Full-time

Job overview

At each::labs, we're building tools that make generative AI accessible and useful for developers, creators, and businesses. We move fast, experiment continuously, and care about turning powerful technology into products people genuinely want to use.

We're looking for a product-minded engineer who uses AI as a core part of how they build, thinks beyond implementation, and takes ownership from identifying a problem to measuring its impact.

What you'll do

• Build products end-to-end: Turn user problems into intuitive, reliable experiences, from backend services and APIs to frontend interfaces.
• Develop AI-first: Use coding agents such as Claude Code and Codex to accelerate development, automate workflows, and improve how software is built, tested, and maintained.
• Build for developers and creators: Develop APIs, integrations, workflows, and creative tools that make complex AI capabilities simple to use.
• Own the user experience: Understand how people use our products through feedback, PostHog analytics, and behavioral data. Identify friction, experiment, and continuously improve.
• Think in outcomes: Challenge assumptions, prioritize meaningful problems, and measure success through adoption, usability, reliability, and business impact.
• Ship and operate: Own features through deployment, monitoring, iteration, and production support.
• Improve how we build: Experiment with agentic workflows, automation, and engineering practices that help the entire team deliver better software.

What we're looking for

• Strong product engineering mindset: You care about why something should exist, who it's for, and whether it solves the problem.
• Full-stack capabilities: Solid experience with Go, React, TypeScript, PostgreSQL, and modern API development.
• AI-native development experience: Practical use of Claude Code, Codex, or similar coding agents beyond basic code generation. You know how to delegate, verify, and integrate AI-generated work.
• Strong engineering fundamentals: You can design maintainable systems, reason about trade-offs, test effectively, and debug production issues.
• User-driven decision-making: Experience using product analytics, experimentation, and customer feedback to guide improvements.
• Ownership and autonomy: Comfortable with ambiguity, rapid iteration, and taking responsibility for results.
• Clear communication: You collaborate effectively across engineering, product, and business.

Experience with AWS, distributed systems, observability, and developer platforms is a plus.

What matters here

• Problems over tools. Technology is a means to solve something valuable.
• Outcomes over output. Shipping code isn't success unless it creates value.
• AI as leverage. We expect you to rethink how software is developed, not simply type faster.
• Experience matters. Great functionality should also be intuitive and enjoyable.
• Ownership end-to-end. Understand the problem, build the solution, measure the result, and improve it.

What we offer

• 25 days of annual leave, plus local public holidays.
• 5-day carryover within the first three months of the following year.
• Stock options with a 1-year cliff and 4-year vesting.
• Annual salary reviews and a company-wide MRR-linked bonus scheme after six months.
• On-site in San Francisco, next to our CEO, Eftal Yurtseven.
• A high-trust, high-ownership environment with minimal bureaucracy, no micromanagement, and real influence over the product.