Senior Product Manager, Agent Context

About the Role

We’re looking for a Product Manager to lead the Agent Context team in NYC. In this role, you will help to expand how Asana’s AI systems search the work graph. Your mission is to make search, retrieval, and knowledge extraction more comprehensive, reliable, and useful at scale, helping Asana become the coordination and memory layer for the agentic enterprise. You will join our Product Management team, which drives Asana’s product strategy and works cross-functionally to deliver impactful solutions that help teams see the larger purpose behind their work.

This role is based in our New York 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

• Drive the product vision and prioritized roadmap for Agent Context, tying work directly to customer impact and Asana’s mission.
• Improve retrieval quality, coverage, and performance across search and RAG experiences to make AI more trustworthy.
• Define success metrics and use data-driven insights to guide product decisions and crisp trade-offs.
• Partner closely with engineering, design, and data science to ship high-impact platform improvements.
• Collaborate with GTM teams and stakeholders to ensure enterprise AI is dependable, safe, and aligned with governance standards.
• Shape capabilities that enable shared organizational memory, allowing humans and agents to coordinate actions effortlessly.

About you

• 5+ years of product management experience, ideally focusing on search, retrieval, AI, or platform products.
• Strong technical competency in translating customer needs and technical constraints into a multi-year platform thesis.
• Proven ability to work with engineering teams on complex, ambiguous systems like APIs, automation, or agents.
• Demonstrated curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making.
• Excellent written and verbal communication skills with the ability to influence cross-functional partners and leadership.
• Experience with LLMs, RAG, search quality, or evaluation systems is a plus.
• Comfortable with data, metrics, and experimentation to drive product judgment.