210K–263K USD / year
Principal Product Manager, AI Workflows
ProductRemote — United States
Published on 2026-10-28
These details were extracted automatically from the original listing. They may not be complete or fully up to date — it's worth checking the original job post.
About this role
Own AI workflow experiences from initial concept through validation and launch, using prototypes and user evidence to guide product decisions. Partner with engineering and design leaders to build collaborative AI experiences that help teams make decisions and follow through.
About the company
Mural is a digital collaboration platform that helps distributed teams brainstorm, map ideas, and run workshops on a shared visual canvas.
The team
AI Workflows team
Stack
ClaudeCursorCodexMCP
What you'll do
- Set AI Workflows strategy with engineering and design counterparts and own product outcomes.
- Identify collaboration and decision-making workflows where AI can provide clear value.
- Build prototypes and test concepts with users before committing further investment.
- Define release hypotheses, pass/fail criteria, and product-quality evaluations.
- Make decisions on model selection, routing, fine-tuning, and custom model development.
- Manage workflow costs, usage metering, and data loops that improve quality.
- Design agent experiences that users can understand, steer, and correct in multiplayer sessions.
- Talk with users weekly and coordinate shipping decisions across partner teams.
What we're looking for
- 7+ years of product management experience, including shipping an AI product to real users.
- Recent hands-on experience building agentic or LLM-based products.
- Technical fluency in evaluations, context management, latency, reliability, and failure modes.
- Sound judgment on model selection, routing, fine-tuning, and custom models.
- Understanding of AI unit economics, cost to serve, usage-based metering, and margins.
- Experience owning outcomes with engineering and design leaders and making evidence-based decisions.
Nice to have
- Experience with collaboration or productivity software.
- Experience with forward-deployed or customer-embedded product work.
- Experience with agent interoperability, including MCP.
