Experience with search, retrieval or ranking or with agentic or AI-assisted coding tools is a plus. Lead through influence. Bring engineering, data science, research and design partners around a common vision. Provide thought leadership, and be the person leaders turn to with hard questions about search and customers. Communicate with impact. Present technical strategies, results and recommendations to stakeholders, driving alignment and continuous improvement across the organization. Raise the bar for the team. Coach and mentor peers in framing problems and forming hypotheses, and help build an inclusive, collaborative culture. Bachelor's degree AND 8+ years of experience in product/service/program management or software development, OR equivalent experience 4+ years of experience working training/evaluating search/information retrieval systems as Product Manager, Software Developer, or Data Scientist. Experience with search, retrieval, ranking or recommendation systems, and an understanding of how relevance and quality shape customer trust and engagement. Experience with agentic coding or AI developer tools. Experience delivering results through collaboration across disciplines, time zones, feature teams and partners, often without direct authority. Comfort working through ambiguity, with a habit of rolling up your sleeves and seeing problems through to completion. Customer and Market Insight Anticipate customer needs. Combine quantitative signals (usage, telemetry, quality metrics) with qualitative signals (listening systems, feedback channels, direct customer engagement) to uncover unmet and unknown needs across Copilot and in-app search. Find the root problem. Spot patterns across customers and scenarios, connect them to known trends, identify who is affected, and size and prioritize the problem. Use evidence to influence what gets built. Evaluate tradeoffs with partners across the organization, and guide others toward the features and experiences that will deliver on objectives and key results (OKRs). Build AI systems for scale. Build AI-powered systems, agents and automated workflows that help the team scale how it analyzes feedback, evaluates sentiment and generates insights, combining AI output with human judgment.