Jobs · Marketing · Washington

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

PMs for Hire · Redmond, WA · 3 wk ago
Marketing$120k–$235k/yrFull-time

About the role

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 are open at the Senior or Principal level.

  • Diagnostics: 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. Diagnose root causes of campaign issues, decide which checks matter, and define how each is best solved—through heuristic or AI-powered workflows—and own where and how diagnostics surface across the advertiser’s journey, including UI, agentic tools, and MCP integrations.
  • Keywords: Lead the future of Keyword Intelligence, Keyword Recommendations, and Agentic Keyword Planning. Own experiences that help advertisers discover customer demand, identify growth opportunities, and build high-performing campaigns by combining large-scale search intent signals, AI-powered recommendations, and agentic planning workflows to move advertisers seamlessly from business goals to campaign execution.

Both diagnostics and keywords are foundational drivers of advertiser trust, product adoption, campaign performance, and platform revenue—directly influencing both customer experience and Microsoft Advertising growth at scale.

Responsibilities

Shared across both roles:

  • 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, agentic, MCP-connected, or model-driven approaches—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 engagement and efficient action, using instrumentation and experimentation to continuously improve.
  • Customer Advocacy: Represent the product to customers, deeply understand their needs, and champion those needs internally to drive 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.

Diagnostics Focus:

  • 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.

Keywords Focus:

  • 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 narratives to help advertisers and sales teams act on them, and power an agentic, multi-turn planning experience. Partner with inventory teams and reimagine keyword planning end-to-end.

Requirements

Required Qualifications:

  • 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 Qualifications:

  • 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.

Pay

Product Management IC4: The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. Within the San Francisco Bay area and New York City metropolitan area, the base pay range is USD $160,200 - $261,000 per year.

Product Management IC5: The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. Within the San Francisco Bay area and New York City metropolitan area, the base pay range is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Additional details: Microsoft Careers Pay Information.

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