Product Engineer — AI-Native Full Stack

each • San Francisco, CA

1d • Onsite

About The Position

At each::labs, the Product Engineer builds tools that make generative AI accessible and useful for developers, creators, and businesses. The role is for a product-minded, AI-native engineer who takes ownership from identifying a user problem through implementation, deployment, measurement, and iteration. The engineer develops end-to-end experiences across backend services, APIs, and frontend interfaces, and uses coding agents and agentic workflows to improve software development, testing, and maintenance. The role also involves understanding user behavior, measuring product outcomes, and providing production support.

Requirements

• Strong product engineering mindset, with care for why a product should exist, who it serves, and whether it solves the problem.
• Solid experience with Go, React, TypeScript, PostgreSQL, and modern API development.
• Practical experience using Claude Code, Codex, or similar coding agents beyond basic code generation, including delegating, verifying, and integrating AI-generated work.
• Strong engineering fundamentals, including designing maintainable systems, reasoning about trade-offs, testing effectively, and debugging production issues.
• Experience using product analytics, experimentation, and customer feedback to guide improvements.
• Comfort with ambiguity, rapid iteration, autonomy, and responsibility for results.
• Clear communication and ability to collaborate across engineering, product, and business.

Nice To Haves

• Experience with AWS.
• Experience with distributed systems.
• Experience with observability.
• Experience with developer platforms.

Responsibilities

• Build end-to-end products, from backend services and APIs to frontend interfaces, based on user problems.
• Use coding agents such as Claude Code and Codex to accelerate development, automate workflows, and improve software development, testing, and maintenance.
• Develop APIs, integrations, workflows, and creative tools that make complex AI capabilities easy to use for developers and creators.
• Use user feedback, PostHog analytics, and behavioral data to understand product usage, identify friction, experiment, and improve experiences.
• Challenge assumptions, prioritize meaningful problems, and measure success through adoption, usability, reliability, and business impact.
• Own features through deployment, monitoring, iteration, and production support.
• Experiment with agentic workflows, automation, and engineering practices to improve how the team delivers software.

Benefits

• 25 days of annual leave, plus local public holidays.
• Up to 5 days of annual leave carryover within the first three months of the following year.
• Stock options with a 1-year cliff and 4-year vesting.
• Annual salary reviews.
• Company-wide MRR-linked bonus scheme after six months.
• High-trust, high-ownership environment with minimal bureaucracy, no micromanagement, and real influence over the product.

What This Job Offers

• Job Type: Full-time
• Education Level: No Education Listed