Unknown Company

Senior Product Manager, Agent Context

new york, ny • Posted 1 weeks ago
Onsite Full Time Product Management

Requirements

  • 5+ years of product management experience, specifically within search, retrieval, AI, or platform-centric products
  • Proven ability to define a long-term platform thesis and translate technical constraints (APIs, LLMs, integrations) into a cohesive roadmap
  • Experienced in working with engineering teams on complex, ambiguous systems where quality and performance are critical
  • Data-oriented with strong product judgment, comfortable using metrics and experimentation to navigate uncertainty
  • Exceptional communicator who can articulate technical strategies to both technical and non-technical audiences
  • Demonstrates fluency in AI tools and emerging technologies, with a desire to learn and leverage them to enhance productivity, collaboration, or decision-making
  • Familiarity with LLMs, RAG, search quality, or evaluation systems is highly preferred
  • Passionate about enterprise software and inventing new workflows for the future of coordination

What the job involves

  • As the Product Manager for Agent Context in NYC, you will lead the strategy and execution for the systems that power retrieval and knowledge across Asana’s AI experiences
  • Your mission is to make search, retrieval, and knowledge extraction comprehensive, reliable, and useful at scale, helping Asana become the coordination and memory layer for the agentic enterprise
  • We are looking for a strategic thinker who can turn technical complexity into seamless customer value and help humans and agents carry work forward effortlessly
  • Define and drive the multi-year roadmap for Agent Context, positioning Asana as the essential "organizational memory" for the agentic enterprise
  • Optimize retrieval quality and performance across search and RAG experiences, ensuring AI-driven results are comprehensive, relevant, and trustworthy
  • Shape core AI capabilities that enable shared knowledge extraction, allowing humans and AI agents to coordinate work with full context
  • Partner on governance and trust, working with cross-functional teams to ensure AI systems are dependable, safe, and enterprise-ready
  • Translate complex data into action, using customer pain points and usage metrics to guide high-impact product decisions and roadmap prioritization
  • Collaborate cross-functionally with Engineering, Design, and GTM teams to ship improvements that enhance the speed and utility of core AI experiences
  • Communicate strategic vision, aligning stakeholders and leadership on technical tradeoffs and the path toward a more context-aware platform

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