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Mural

SaaS-based digital collaboration workspace

Principal Product Manager - AI Workflows

Product ManagementConfirmed live in the last 24 hours
Full-timeRemote in USA$210.1k - $262.6k /yrRemote

About the Job

Requirements

  • At least 7 years of product management experience, including shipping at least one AI product from concept to real users.
  • Recent hands-on experience building agentic or large language model-based products, including experience with failures and resulting changes.
  • Technical fluency to design and read evaluations and work as a peer with engineers and machine learning engineers on context management, latency, reliability, and failure modes.
  • Sound judgment in comparing models, routing across models, adopting new models, and deciding when fine-tuning or a custom model is worthwhile.
  • Understanding of AI unit economics, including cost to serve, usage-based metering, and how model choices affect margin.
  • A record of launching, rebuilding, changing direction, and stopping ideas based on evidence.
  • Ability to make high-stakes decisions with incomplete information and communicate tradeoffs candidly.
  • Experience owning outcomes while partnering with engineering and design leaders as counterparts.
  • Experience creating structure where no playbook exists.
  • Experience with collaboration or productivity software.
  • Experience with forward-deployed or customer-embedded product work.
  • Experience with agent interoperability, including MCP.

Responsibilities

  • Set strategy for AI Workflows with engineering and design counterparts, own outcomes and evidence behind what is built, and engage deeply in the end-to-end user experience.
  • Identify team workflows where AI adds clear value at the intersection of collaboration, alignment, and decision making.
  • Build working prototypes with modern AI tools such as Claude, Cursor, or Codex to test ideas with users before committing further investment.
  • Frame each release as a hypothesis with pass/fail criteria and decide whether to iterate, scale, or stop it.
  • Define product-quality evaluations with engineering to measure usefulness, trust, and reliability, and determine whether an experience meets the bar to ship.
  • Decide with engineering and machine learning teams when to use frontier models, route across models, bring in a new model, or build a custom model.
  • Understand the cost to serve each workflow and work with growth and finance on usage metering and the unit of value.
  • Set up data loops that improve quality, including what to collect, how to label it, and how it feeds evaluations and model work.
  • Design agentic experiences for real multiplayer sessions where people need to understand, steer, and correct the agent.
  • Talk with users weekly and bring findings back into the work.
  • Align shipping decisions with design, engineering, marketing, sales, legal, and security teams.
  • Share learnings across the product organization so other teams can adopt effective practices.

About the Company

Mural

SaaS-based digital collaboration workspace

MURAL provides a cloud-based collaboration workspace that helps teams brainstorm, plan, and design together in real time, regardless of location. It offers digital whiteboards, sticky notes, templates, and integrations, accessible via a subscription model with tiered pricing and enterprise options. How it works: teams sign up, choose a plan, and use the web app to create boards, add notes, and collaborate live with teammates; changes sync instantly and can be shared with others. The platform differentiates itself by focusing on synchronous, visual collaboration across organizations of all sizes, with strong uptime and dedicated enterprise support. The goal is to make teamwork more productive and creative by giving teams a reliable space to capture ideas, organize thoughts, and streamline workflows.

Company size
501-1,000
Company stage
Series C
Total funding
$216.8M
Headquarters
San Francisco, CA
Founded
2011

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