Senior Product Manager, AI Agents

We're looking for a Product Manager to lead the Core Agents team in San Francisco. In this role, you will define and build Asana AI agents that plan, execute, and coordinate work directly inside Asana's work graph. Your mission is to make agents that act reliably, safely, and usefully on behalf of teams, helping Asana become the coordination and memory layer for the modern agentic enterprise. You will join our Product Management team, which drives Asana’s product strategy and execution, translating customer needs and opportunities into a compelling roadmap and working cross-functionally to deliver impactful solutions for team productivity and collaboration. We’re helping to define the Work Management category and inventing new ways for teams to work more efficiently together and see the larger purpose behind their work. Our team works directly with Engineering, Design, Experience Research, and Data Science, as well as with Sales, Support, and Marketing to ship great products. You’ll take part in every type of product work here — from strategy to product to process improvements — conceptualizing, launching, and iterating on Asana itself for millions of teams around the world.

This role is based in our San Francisco 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

• Own the product vision and prioritized roadmap for AI agents, tying every investment directly to customer impact and Asana's mission.
• Ship agents that take dependable, high-quality action across the work graph by planning, executing, and coordinating work end-to-end.
• Build the evaluations, red-teaming, and monitoring systems that measure agent behavior, and drive relentless iteration on quality, reliability, and regressions after launch.
• Shape how agents work together and with external systems, focusing on tool use and integrations so agents can reason over the right context and coordinate to complete complex, multi-step work.
• Partner closely with engineering, design, and data science to turn highly ambiguous agent problems into shipped, high-impact product experiences.
• Collaborate with GTM teams and stakeholders to ensure enterprise agents are dependable, safe, and aligned with rigorous governance standards.
• Shape the intuitive product experiences that let humans direct, trust, and hand work to agents seamlessly.

About you

• Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making