About the job
Microsoft Advertising is hiring two Product Managers to shape the next generation of advertiser intelligence experiences — one focused on Diagnostics and one focused on Keywords. Both roles sit at the intersection of AI, product strategy, and advertiser success, and we are hiring for Senior or Principal Product Managers.
Diagnostics: In this role, you will lead the next generation of Diagnostics Experiences, transforming diagnostics from static issue reporting into intelligent, action-oriented experiences that help advertisers understand, prioritize, and resolve performance issues with confidence. You will go deep to diagnose the root causes of campaign issues, decide which checks matter, and define how each is best solved — through a heuristic or an agentic, AI-powered workflow — and own where and how diagnostics surface across the advertiser’s journey, including UI, agentic tools, and MCP integrations.
Keywords: In this role, you will lead the future of Keyword Intelligence, Keyword Recommendations, and Agentic Keyword Planning. You will own the experiences that help advertisers discover customer demand, identify growth opportunities, and build high-performing campaigns — combining large-scale search intent signals, AI-powered recommendations, and agentic planning workflows to move advertisers seamlessly from business goals to campaign execution.
Responsibilities
Product Leadership: Develop and communicate the strategy and roadmap for your area — Diagnostics Experiences, or Keyword Intelligence, Recommendations, and Agentic Planning — across Microsoft’s advertising ecosystem, evolving it from identification to intelligent, action-oriented guidance that helps advertisers improve performance and achieve their goals.
AI & Solution Definition: Determine the right solution for each experience — heuristic rules where they suffice, agentic, MCP-connected, or model-driven approaches where they add value — ensuring every experience is accurate, explainable, and actionable while upholding responsible AI principles and advertiser trust at scale.
Metrics Ownership & Engagement: Own the success metrics for your area end to end. Decide where and how experiences surface across the advertiser journey to maximize how many advertisers engage and act efficiently, and use instrumentation and experimentation to continuously improve.
Customer Advocacy: Represent the product to customers, deeply understand their needs, and champion those needs internally — driving experiences that improve advertiser trust, transparency, and confidence in Microsoft Advertising.
Execution & Cross-Functional Leadership: Navigate ambiguity, make tough prioritization decisions, and balance short-term impact with long-term AI investments. Drive alignment across engineering, design, data science, Support, Sales, Marketing, Business Development, and Legal to deliver cohesive outcomes.
Go-to-Market Leadership: Lead go-to-market efforts with marketing and sales, ensuring launches drive adoption, customer value, and measurable advertiser impact.
Diagnostic Depth: Go deep on advertiser and campaign data to identify the root causes of performance issues and define the checks and signals that matter. Leverage AI, including agent reasoning, to check, explain, and fix issues, ensuring every diagnostic is accurate, explainable, and actionable.
Keyword Opportunity & Planning: Develop a deep understanding of the diverse keyword scenarios advertisers face, and apply AI to identify new monetization and growth opportunities, generate the narratives that help advertisers and sales teams act on them, and power an agentic, multi-turn planning experience — partnering with inventory teams and reimagining keyword planning end to end
Qualifications
Minimum
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 (e.g., design, product-market fit, and launch).
5+ years experience improving product metrics for a product, feature, or experience (e.g., 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.