AI Discovery + Web Personalization Product Manager (Agentic Web Lead)
MicrosoftMicrosoft’s mission is to empower every person and every organization on the planet to achieve more. In Consumer Marketing, we bring that mission to life by transforming how customers discover, compare, and buy Windows and Surface devices on the web.
We are seeking an AI Discovery + Web Personalization Product Manager (Agentic Web Lead) to define and scale the next generation of Microsoft’s consumer web experience, where discovery and journeys are increasingly shaped by AI systems. This role owns the end-to-end product strategy that connects three components into one cohesive system:
AI discovery readiness: ensuring our content is accurately understood, selected, and cited by answer engines and AI assistants
Session-based personalization: adapting modules and pathways in near real time based on customer signals and intent
Interactive agent experiences: enabling on-site assistants that guide discovery, comparison, education, and handoffs with trust and governance
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 SLAs, 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.
Qualifications
Required/minimum qualifications
- Bachelor's Degree AND 5+ years experience in product/service/program management or software development OR equivalent experience.
- Bachelor's Degree AND 8+ years experience in product/service/program management or software development OR equivalent experience.
- 2+ years experience taking a product, feature, or experience to market (e.g., design, addressing product market fit, and launch, internal tool/framework).
- 4+ years experience improving product metrics for a product, feature, or experience in a market (e.g., growing customer base, expanding customer usage, avoiding customer churn).
- 4+ years experience disrupting a market for a product, feature, or experience (e.g., competitive disruption, taking the place of an established competing product).
- Proven ability to translate AI-driven customer experiences into clear requirements, guardrails, and scalable operating models (assistants, decisioning, retrieval, or adjacent systems).
- Strong understanding of structured data (Schema.org), page semantics, content extractability, and how AI/answer systems retrieve, rank, and reference content.
- Strong understanding of information architecture, modular content systems, funnels, attribution considerations, and Core Web Vitals.
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.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
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.