Senior Manager, Product Management- Enterprise AI Search

About the Role

Key Responsibilities

• Set the vision for Enterprise Search & AI by defining and driving the product strategy for search, retrieval-augmented generation (RAG), and question-answering capabilities.
• Own outcomes by shaping the product narrative, securing executive buy-in, and ensuring initiatives deliver measurable business and customer impact.
• Guide engineering, ML research, UX research, and design teams with clear, actionable requirements to enable fast, high-quality delivery of advanced search capabilities.
• Leverage customer pilots, user research, and market insights to create intuitive, contextual, and indispensable user experiences.
• Partner with other product teams to embed search and GenAI capabilities throughout the platform, driving adoption and expanding impact.
• Define and refine metrics that measure the performance, relevance, and business value of search and AI features.
• Manage and mentor a team of 4+ Product Managers, fostering a culture of innovation, accountability, and technical excellence.

Requirements

• 10+ years of experience building and leading high-performing product teams, including mentoring junior leaders and fostering cross-functional collaboration.
• 8+ years of experience in software product management with expertise in building search or RAG (Retrieval-Augmented Generation) products that drive measurable impact.
• Strong understanding of AI/ML frameworks and modern search technologies such as Moveworks, Glean, Elasticsearch, and Coveo.
• Ability to evaluate, integrate, and innovate on emerging capabilities like context awareness, data indexing, and relevance ranking.
• Proven track record of delivering high-quality, scalable features at speed with a focus on outcomes.
• Deep empathy for users and the ability to translate complex needs into customer-centric solutions.
• Data-driven mindset with experience leveraging qualitative and quantitative insights to guide strategy and measure success.
• Strategic problem-solving skills, including navigating ambiguity, uncovering root problems, and communicating trade-offs effectively.

Nice to Have

• Experience with enterprise search and conversational AI product development.
• Familiarity with modern AI/ML frameworks and emerging AI capabilities.
• Experience working in a fast-paced, scale-up environment.

Qualifications

• Educational background is not explicitly specified in the description.

Benefits & Perks

• Base pay of $168,900 - $295,600 plus equity (when applicable), variable/incentive compensation, and benefits.
• Health plans, flexible spending accounts, 401(k) with company match, ESPP, matching donations, flexible time away, and family leave programs.