Product Manager II - Microsoft AI Search

Microsoft•Redmond, WA

1d•Hybrid

About The Position

Microsoft AI is transforming how people discover, understand, and act on information at global scale. Within Bing, the Whole Page team is responsible for how traditional search results and AI‑generated responses come together into a single, coherent page that users trust, engage with, and return to. As a Product Manager II, you will own and evolve meaningful parts of the whole‑page search experience—where ranking systems, AI answers, structured modules, and UX patterns intersect. This role sits at the boundary of classic search and AI‑first experiences, requiring solid judgment, comfort with ambiguity, and a bias toward learning through experimentation. You will translate customer needs and product strategy into shipped features that measurably improve user satisfaction and business outcomes. 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. Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

Requirements

Bachelor's Degree AND 2+ years experience in product/service/program management or software development OR equivalent experience.

Nice To Haves

Bachelor's Degree AND 5+ years experience in product/service/program management or software development OR equivalent experience.
3+ years of experience driving measurable improvements in product outcomes through experimentation.
Demonstrated experience taking product features or experiences from concept to launch in partnership with design and engineering.
Proven ability to improve product metrics through iteration, experimentation, and data‑informed decision making.
Experience working on medium‑ to large‑scale, customer‑facing products.
Ability to operate as an independent individual contributor without people‑management responsibilities.
Experience modernizing or evolving established products or user experiences.
Familiarity with AI‑powered or data‑driven consumer products (deep ML expertise not required).
Solid product craft and UX instincts, including shaping end‑to‑end user journeys.
Ability to influence decisions through sound judgment, structured thinking, and clear storytelling.

Responsibilities

Own end‑to‑end product workstreams within Bing Whole Page Experiences, from problem discovery through launch, measurement, and iteration.
Identify customer needs and unmet opportunities using quantitative signals, qualitative insights, and usage data, with minimal guidance.
Shape how AI‑powered answers integrate with traditional search results to create clear, useful, and trustworthy whole‑page experiences.
Frame product problems using data, user signals, and system constraints, and propose solution options with clear UX, quality, and technical trade‑offs.
Partner closely with engineering, design, data science, and research to define requirements, success criteria, and delivery plans for high‑quality experiences.
Define success metrics (e.g., engagement, satisfaction, quality) and design experiments to validate user and business impact.
Analyze usage, engagement, and quality signals to guide iteration, improve outcomes, and inform near‑term roadmap decisions.
Contribute to roadmap prioritization by evaluating short‑term investment opportunities and aligning feature work with product goals.
Collaborate with Product Marketing and partner teams to support launch readiness, preview‑to‑GA transitions, and customer communication for owned features.
Communicate product intent, decisions, and results to stakeholders through clear narratives and data‑backed insights.
Operate effectively as an independent individual contributor in evolving, AI‑driven problem spaces where requirements are not always fully defined upfront.