The posting, in Mural's own words
archived Oct 29, 2026ABOUT THE TEAM
Mural helps teams think, decide, and follow through together. AI made producing content cheap. It did not make agreement, commitment, or follow-through any easier. The AI Workflows team builds the AI and agentic experiences inside Mural that help teams reach decisions and keep them.
YOUR MISSION
You will own the outcomes for new AI experiences from first idea to proven value. You will partner with the Engineering Manager and the Agentic Design Director for AI Workflows as counterparts, and together you will own the strategy. You will work with a wider team of engineers, ML engineers, designers, and product managers, moving from hypothesis to working prototype to evidence in weeks, not quarters. You will build prototypes yourself and decide what ships, what changes, and what we stop, based on what users do and what the evals tell us.
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WHAT YOU'LL DO
Set strategy for AI Workflows together with your engineering and design counterparts, own the outcomes and the evidence behind what we build, and engage deeply in the end-to-end user experience Find the team workflows where AI adds clear value, at the intersection of collaboration, alignment, and decision making. Build working prototypes with modern AI tools (Claude, Cursor, Codex, or similar) to test ideas with users before committing further investment. Turn each release into a hypothesis with pass/fail criteria, and make the call on whether to iterate, scale, or kill it. Define product-quality evals with engineering that measure usefulness, trust, and reliability, and own the call on whether an experience meets the bar to ship. Decide with engineering and ML when to use frontier models, when to route across models, when to bring in a new model, and when a model of our own is worth building. Understand the cost to serve each workflow, and work with growth and finance on how usage is metered and what the unit of value is. Set up the data loops that improve quality, including what we collect, how we label it, and how it feeds evals and model work. Design experiences that work in real multiplayer sessions, where people need to understand, steer, and correct what the agent does. Talk with users every week and bring what you learn back into the work. Work with design, engineering, marketing, sales, legal, and security teams to align on shipping decisions. Share what you learn across the product organization so other teams can adopt the practices that work.