Description
The Product Management team drives the company’s product strategy and execution, translating customer needs into products that help teams work together and see the larger purpose behind their work. As AI agents become part of how work gets done, we’re building new ways for people, developers, and agents to collaborate through the company’s Work Graph.
We’re looking for a Lead Product Manager to lead product strategy for the company’s APIs and Model Context Protocol (MCP) server. You’ll help external developers and AI agents understand and act on the work teams manage in the company—from tasks and projects to the goals, ownership, and dependencies that connect them. You’ll shape a platform that makes these workflows useful, reliable, and secure, balancing developer experience with the controls enterprise customers need. You’re a technical product leader who can reason deeply about systems, turn emerging customer needs into a focused roadmap, and bring engineering, design, research, and go-to-market partners together to deliver meaningful outcomes.
This role is based in our Vancouver 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 the company’s APIs and MCP server, connecting developer and customer needs to the company’s broader product strategy.
Enable external developers and agents to complete valuable workflows in the company, and improve the journey from discovering the company's APIs and MCP tools to completing a first successful workflow.
Expand access to Work Graph capabilities in partnership with the teams that own them.
Reduce friction in documentation, authorization, and everyday use.
Partner closely with engineering to improve platform reliability, performance, and compatibility as API and MCP capabilities evolve.
Use customer feedback, evaluations, and success measures (adoption, workflow completion, reliability, and time to value) to identify where workflows fail and prioritize improvements.
Work with security and enterprise product teams to make agent access trustworthy. Define clear permissions, administrative controls, and accountability for actions taken by agents.
Lead initiatives from discovery through launch and iteration across multiple teams. Measure success through adoption, workflow completion, reliability, and time to value.
The company is a leading platform for human + AI collaboration. Millions of teams around the world rely on the company to achieve their most important goals, faster. The company has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong.
Join the company’s Talent Network to stay up to date on job opportunities and life at the company.