Product Manager, Omni

• Own the end-to-end Omni experience. From the moment a user describes what they need, through app creation, workflow configuration, and ongoing iteration. Omni should feel like an expert consultant, not a chatbot.
• Push the frontier of what Omni can do. Partner closely with engineering to evolve Omni's agent architecture, define how it reasons about and executes multi-step plans, and ensure it compounds with model improvements rather than requiring piecemeal capability additions. As models get smarter, Omni should get smarter automatically.
• Make app building dramatically better. Raise the quality ceiling on what Omni can build: richer interfaces, more sophisticated automations, better data modeling. We should be the best way to build collaborative operational apps.
• Make it easy to start from real data. Most people don't build from a blank canvas. They have messy spreadsheets, file exports, or data living in a warehouse. You'll own the experience of going from "here's what I have" to "here's a working app," making Omni the fastest path from raw data to something useful.
• Define and drive adoption metrics. Establish north star metrics for Omni that capture whether we're making people more successful, build a measurement framework, and use it to drive roadmap prioritization.
• Collaborate across teams. Work closely with the teams that own agents, MCP, integrations, enterprise, and self-serve to ensure Omni is coherent across all surfaces.

• Experience shipping AI agent or copilot products. You've built products where an LLM reasons, plans, and takes action, not just generates text. You understand agent loops, tool use, context management, and the difference between a demo and a production-quality agent experience.
• 8+ years of product management experience with a track record of shipping products users love, ideally including AI-powered features at scale.
• Deep AI technical fluency. You understand how LLMs work at a technical level, not just as a user. You can evaluate tradeoffs between model capabilities, have opinions on agent architectures, evals, prompt design, and know what it means to build so that your product gets better as models get better.
• Strong product taste for AI-native building experiences. You have a refined sense for what makes an AI building experience feel magical vs. frustrating. You've thought about the spectrum from fully autonomous (agent does it all) to highly collaborative (agent and human iterate together) and know when each is appropriate.
• Builder mindset. You use AI tools (Claude Code, Cursor, Lovable, etc.) to build and prototype, not just spec. You can evaluate Omni's quality by using it, and by using competitors, with the critical eye of someone who builds things themselves.
• Comfort with ambiguity and architectural decisions. Omni is evolving fast. You need to be energized by foundational questions (what should Omni's planning loop look like? how do we handle failure and recovery? where do we draw the line between agent autonomy and human control?) and not just feature sequencing.

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