Where multiple locations are listed for this role, the position may be based in any of those locations, with priority determined according to the order of listing.
As our AI Product Manager, you'll own the product roadmap end-to-end, choosing which workflows the agent masters first, defining how users interact with it, and driving the engineering team to ship at startup speed. This is a high-leverage, 01 role where your decisions directly shape what millions of users will experience.
What you'll do- Own the product roadmap for Simular's agent platform, prioritizing the highest-impact workflows based on user value, technical feasibility, and business opportunity
- Write detailed, unambiguous specs that engineers can build from without back-and-forth. You set the standard for clarity
- Run sprints for the Product engineering team: backlog management, unblocking, and driving on-time delivery
- Conduct user testing, analyze usage data, and iterate rapidly on the agent's interaction model and UX
- Define success metrics for agent reliability, speed, and user satisfaction, then drive the team to hit them relentlessly
- Keep research and engineering tightly aligned on goals, timelines, and trade-offs across time zones
- Be the voice of the user internally, translating real-world pain points into product priorities with conviction
You might be a fit if- You have 3+ years of experience shipping complex software products. You can read API docs, discuss latency trade-offs, and hold your own in technical conversations
- You thrive in ambiguity and love the chaos of early-stage building. You don't wait for a playbook; you write it
- Your specs are so clear they leave no room for misinterpretation. Engineers trust your documents
- You have deep empathy for users and make decisions based on data, not assumptions
- You're a strong communicator who can align cross-functional, cross-timezone teams without friction
- You have a bias for action. You'd rather ship and learn than plan and wait
- Bonus: experience with AI/ML products, particularly in the agent or LLM space
