Senior/Principal Product Manager-Advertiser Intelligence (Diagnostics & Keywords)

What you'll do

• Develop and communicate the strategy and roadmap for Diagnostics Experiences or Keyword Intelligence, Recommendations, and Agentic Planning across Microsoft’s advertising ecosystem.
• Determine the right solution for each experience using heuristic rules, agentic, MCP-connected, or model-driven approaches ensuring accuracy, explainability, and responsible AI principles.
• Own success metrics end to end and decide where/how experiences surface across the advertiser journey to maximize engagement and efficiency.
• Represent the product to customers, understand their needs, and champion those needs internally to improve advertiser trust, transparency, and confidence.
• Navigate ambiguity, make prioritization decisions, and balance short-term impact with long-term AI investments while driving alignment across cross-functional teams.
• Lead go-to-market efforts with marketing and sales to ensure launches drive adoption, customer value, and measurable advertiser impact.
• Diagnostics focus: Diagnose root causes of campaign performance issues, define important checks and signals, and leverage AI to check, explain, and fix issues.
• Keywords focus: Understand diverse keyword scenarios, apply AI to identify monetization and growth opportunities, generate actionable narratives, and power agentic multi-turn planning.

Requirements

• Bachelor’s Degree AND 5+ years experience in product/service/program management including experience developing digital advertising products, especially demand/buying side features such as optimization, targeting, bidding & budget and conversion tracking OR equivalent experience.
• Preferred: Bachelor’s Degree AND 8+ years experience in product/service/program management including experience developing digital advertising products, especially demand/buying side features such as optimization, targeting, bidding & budget and conversion tracking OR equivalent experience.
• 3+ years experience taking a product, feature, or experience to market (design, product-market fit, and launch).
• 5+ years experience improving product metrics for a product, feature, or experience (growing adoption, engagement, customer retention, or business impact).
• Strong analytical skills and comfort working directly with data — able to dig into datasets, form hypotheses, validate root causes, and translate findings into product decisions (SQL/KQL or equivalent a plus).
• Experience building AI-powered or agentic experiences (LLMs, agent frameworks, or recommendation/guidance systems), including defining success metrics and running evaluations for non-deterministic systems.
• Experience using customer insights and experimentation, and collaborating across Design, Engineering, and Data Science to deliver customer-facing products.

Tech stack

Benefits