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$120k–$304k/yr
Full-time
bachelor degree
Health Insurance, Retirement Benefits, Paid Time Off, Professional Development
Posted 8h ago
~40 hrs/week
Responsibilities
Develop and execute product strategy for advertiser intelligence, focusing on diagnostics or keyword planning to improve campaign performance. Lead cross-functional teams to define AI-powered solutions and drive product adoption through effective go-to-market strategies.
Requirements
Requires a Bachelor's degree and at least 5 to 8 years of experience in product management within the digital advertising sector. Candidates must demonstrate strong analytical skills and experience in building AI-powered or agentic product experiences.
Full job description
Overview
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.
Both diagnostics and keywords are foundational drivers of advertiser trust, product adoption, campaign performance, and platform revenue — so these roles directly influence both customer experience and Microsoft Advertising growth at scale.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
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 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.
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 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
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.
Product Management IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations 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. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
Every company has a mission. What's ours? To empower every person and every organization to achieve more. We believe technology can and should be a force for good and that meaningful innovation contributes to a brighter world in the future and today. Our culture doesn’t just encourage curiosity; it embraces it. Each day we make progress together by showing up as our authentic selves. We show up with a learn-it-all mentality. We show up cheering on others, knowing their success doesn't diminish our own. We show up every day open to learning our own biases, changing our behavior, and inviting in differences. Because impact matters.
Microsoft operates in 190 countries and is made up of approximately 228,000 passionate employees worldwide.
Offices: 1 Microsoft Way, Redmond, Washington 98052, US · 1 Denison Street, North Sydney, NSW 2060, AU · 1950 Meadowvale Blvd, Mississauga, Ontario L5N 8L9, CA · 39, Quai du Président Roosevelt, Issy-les-Moulineaux, Île-de-France 92130, FR · Walter-Gropius-Straße 5, München, 80807, DE
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