AI Discovery + Web Personalization Product Manager (Agentic Web Lead)

Microsoft • Redmond, WA

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About The Position

Microsoft's Consumer Marketing team is seeking an AI Discovery + Web Personalization Product Manager (Agentic Web Lead) to define and scale the next generation of Microsoft's consumer web experience. This role focuses on transforming how customers discover, compare, and buy Windows and Surface devices on the web, where discovery and journeys are increasingly shaped by AI systems. The position involves owning the end-to-end product strategy that integrates AI discovery readiness (ensuring content is understood, selected, and cited by AI), session-based personalization (adapting web experiences in real-time based on customer signals), and interactive agent experiences (enabling on-site assistants for discovery, comparison, education, and handoffs with trust and governance). The ideal candidate should possess a blend of product management, technical AEO (Answer Engine Optimization) fluency, experimentation rigor, and strong cross-functional leadership, capable of translating emerging 'agentic web' behaviors into platform requirements, measurable roadmaps, and scaled operating mechanisms across global experiences.

Requirements

• Bachelor's Degree in Business, Marketing, Communications, Finance, Engineering, or related field AND 5+ years of marketing operations, program management, project management, or related experience OR equivalent experience.

Nice To Haves

• Master's Degree in Business, Marketing, Communications, Finance, Engineering, or related field AND 5+ years of marketing operations, program management, project management, or related experience OR Bachelor's Degree in Business, Marketing, Communications, Finance, Engineering, or related field AND 8+ years of marketing operations, program management, project management, or related experience OR equivalent experience.
• 3+ years technology/process improvement experience.

Responsibilities

• Own the Agentic Web strategy and operating model: Define the annual vision and roadmap across AI discovery, personalization, and on-site agent journeys, with clear intake, prioritization, and operating rhythms to sustain optimization at scale.
• Run AI discovery (AEO - Answer Engine Optimization) end to end: Set standards for answer-ready content and machine interpretability, and continuously monitor, troubleshoot, and evolve performance with SEO (Search Engine Optimization), content, and engineering as answer engines change.
• Launch and manage web personalization as a product: Own the full lifecycle from requirements and launch through ongoing roadmap delivery, tuning, and continuous improvement based on business priorities and customer signals.
• Ensure personalization platform reliability: Define Service Level Agreements, instrumentation, monitoring, and quality gates (signal freshness, latency, delivery health), and drive incident response and post-incident improvements with engineering and analytics.
• Productize and operate interactive agent experiences: Define agent vision and requirements, then own post-launch iteration of intent capture, journey handoffs, escalation paths, and recommendation quality through measurable learning loops.
• Build and maintain the intent and content model: Steward the unified intent layer, taxonomy, metadata, and module mapping that connects discovery signals, in-session behavior, and agent context so the system stays scalable and governable.
• Lead measurement and experimentation for long-term lift: Own dashboards and performance reviews, run an ongoing test-and-learn cadence to prove incrementality, scale winners, retire underperformers, and align cross-functional teams on actions and outcomes.
• Champion trust, safety, and governance: Embed privacy, accessibility, accuracy, provenance, and brand-voice guardrails into both launches and ongoing operations, ensuring the system remains compliant and trustworthy as content and models evolve.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 5,001-10,000 employees