Product Manager (Agents)

TL;DR: We're looking for a Senior Product Manager to lead the Lovable agent end-to-end - owning quality, roadmap, and the feedback loops that make it better. You'll shape how our agent reasons, acts, and delivers for millions of users, directly influencing one of the most consequential product surfaces at Lovable.

Why Lovable?

Lovable is the software creation platform that gives people the power to act on the problems closest to them. For decades, turning an idea into software required so much capital, technical fluency, and time that many ideas never came to life. Lovable is the counterargument: a platform for all people with ideas, ambition, and problems worth solving. From solopreneurs to small business owners to teams at companies like Adidas and Zendesk, people have built over 60 million projects on Lovable since its launch in November 2024. And we’re just getting started.

What we're looking for

• 8+ years in the software industry, with direct ownership of an AI or LLM-powered product in a product management or engineering leadership role
• Hands-on experience building and shipping agent-based systems - you understand tool use, planning loops, multi-step reasoning, and how agents fail
• Technical fluency: you program or have programmed, and can read model outputs, traces, and evals with confidence
• Strong product sense and systems thinking - you know when to move fast and when to invest in foundational work, and you have sharp opinions on how agents should communicate, recover from errors, and earn user trust
• Preferred: Deep familiarity with prompt engineering and evaluation frameworks; prior experience operating at the frontier where best practices are still being written

What you'll do

• Represent the user - synthesize findings on agent performance and behavior, and bring them to the team with clarity and conviction
• Run discovery end-to-end: user interviews, competitive research, eval analysis, prompt experimentation, and crafting messaging for upcoming agent capabilities
• Own the quality bar for agent outputs - drive eval infrastructure, monitor regressions, and ensure the agent improves with every release
• Scope ruthlessly - ship the right slice of functionality, validate what works through user feedback and metrics, and cut what doesn't
• Enable sales, support, and marketing with the context they need to communicate new agent capabilities effectively
• Projects you'll tackle first: Rebuilding the agent evaluation framework to catch regressions before they ship; running discovery on the biggest gaps in agent reliability and trust; defining and shipping the first iteration of improved agent error recovery and communication