AI Product Manager at Simular
Simular is hiring a AI Product Manager in Palo Alto, CA, US. On-site.
About Simular
Simular develops research-driven AI agents that automate computer tasks. Its product, Sai, is an always-on AI co-worker that operates a user's desktop by clicking, typing, and using the GUI, as well as using APIs, terminals, and writing code. Sai runs on a private, cloud-based virtual desktop and includes guardrails that check with the user before critical actions. The company's research on AI agents is made available to everyone through open-source intelligent agents.
AI Product Manager job description
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.
At Simular, we’re building autonomous agents that operate computers exactly as humans do: clicking, typing, and navigating across any app or workflow. While our research team builds the brain, we need someone to decide what the agent actually does. 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, 0→1 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
