AI Product Engineer

Job description

About Rhythms Rhythms is building the AI that helps you run your business autonomously. Founded by the team behind Ally.io (acquired by Microsoft), backed by GreenOaks, Madrona, and Accel—earning GeekWire's Deal of the Year and recognized among the top AI innovators of 2025. Already running inside Fortune 100 enterprises, regional health systems, and global logistics companies. AI agents execute proven playbooks, track progress across every system, surface risks before they land, and eliminate the manual overhead that slows organizations down. Built on multi-agent AI architecture, our platform integrates with Slack, Teams, Jira, and Linear—so the operational layer just works. The role You'll be an early product engineer at Rhythms, owning features end-to-end across multi-agent systems, LLM orchestration, and the product experience customers actually use. This is a builder-first role. You ship to production daily, sit in customer calls, hear feedback unfiltered, and watch your work change how organizations run. No layers, no handoffs—you find the problem, design the solution, ship it, and own what happens next. What you'll do - Ship agent systems that run business operations autonomously—OKR execution, MBR/WBR cadences, Auto-Pilot workflows—at enterprise reliability. - Own features end-to-end from customer problem to production. Discovery, design, implementation, measurement. - Design multi-agent architectures that balance capability and reliability. Decide when to use what—models, orchestration patterns, evals. - Build the chat-native experiences users depend on every day. Product sensibility matters as much as systems design. - Push the AI stack forward. We use Claude Code and Cursor, ship AI features weekly, and rewrite our approach as the models improve. What we're looking for - 2–5 years building production software, with hands-on experience shipping LLMs, agents, or AI-native applications in production—not demos. - Strong in Python, comfortable in React/Next.js. You've worked on distributed systems. - You start with the customer problem, not the technology. You make tradeoffs for user impact, not architectural elegance. - You've shipped agent systems that work in production—you know the gap between a working prototype and something enterprises can run on. - You move fast, iterate in production, and don't need a PRD to figure out what to build next. - You operate like an owner—you see what needs to move, make the call, own the outcome. - You're already building with the newest models. You can't imagine going back. What you'll get - Early engineering role at an AI company with enterprise traction, backed by GreenOaks, Madrona, and Accel - Direct partnership with serial entrepreneurs with multiple exits—including Ally.io acquired by Microsoft - The chance to shape the core AI systems thousands of enterprises run on - Unlimited AI token usage—every model and platform you need to build - Competitive salary, meaningful early-stage equity, top-tier health benefits, 401k with match, and flexible vacation policy