About this role
Asana is building the platform for human and agent collaboration in the enterprise. With the launch of Agentic Work Management (AWM), AI is now a foundational part of that platform, and the shift brings a new class of problems with it. Customers need to trust agentic work, govern it, and see a return on it before they will scale it. Many of the opportunities that matter most for customers sit between our suite of AI products, rather than inside any particular one—which is where you come in.
This role sits in our AI Platform Group on a small, fast-moving team with a deliberately broad mandate: work across the boundaries other product teams operate within, identify the cross-cutting problems and opportunities that no single team owns, and build leveraged solutions that create scalable, differentiated value for our customers.
This role is based in our New York City office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements.
What you’ll achieve
• Work directly with enterprise customers and prospects to discover the challenges they face when managing agentic work in Asana, and bring back what you learn to inform your roadmap.
• Discover and quickly validate new, high-leverage opportunities, then work cross functionally to deliver end-to-end solutions, fast.
• Consistently choose leverage over local wins: pick the problems whose solutions compound across Asana's AI products rather than improving a single surface in isolation.
• Help set the standard for what Asana invests in versus not as the AI capability landscape shifts, piloting new capabilities and accelerating their adoption and integration into our AI products.
• Decide which of our existing convictions are worth pursuing (if at all), and in what order: AI ROI measurement and reporting, AI governance, monitoring, and administration, building new capabilities for managing complex, cross-functional agentic workflows.
About you
• Senior IC product management experience in enterprise SaaS, with a track record of shipping complex products end to end.
• Hands-on experience building or shipping an AI-first product, with working fluency in how AI actually gets deployed and hosted: model providers, inference hosting choices, evals and quality measurement, fine-tuning and data privacy trade-offs.
• A platform instinct. You can see where a capability built once serves several products, and you would rather build that than the point solution, even when the point solution ships sooner.
• Energized rather than stalled by ambiguity and greenfield problems. You're comfortable being handed an outcome and a wide problem space rather than a specification.
• Strong prioritization and