Senior Product Manager

Microsoft AI Experiences is a customer-first organisation building AI-powered products that help people and businesses achieve more. As the world undergoes a profound AI platform shift, we are looking for product leaders who can operate several steps ahead, anticipating what the future will demand and translating that vision into clarity, strategy, and execution today.

As a team, we play a central role in discovery, crawling, selection, document processing and aggregation of web graph. Work in our team is unique in that you’ll be able to work with trillions of documents, which pushes the boundaries of our infrastructure and computational resources. Moreover, it provides interesting challenges that haven’t been encountered before, thereby combining research and product applications.

We are looking for the best and brightest to join our team and help us apply the next generation of LLM, NLP, deep learning, large-scale distributed systems, and informational retrieval techniques. As a Senior Product Manager, you will build the next generation of Unified Index Platform (UIP), which is being used for featurizing, filtering, and indexing for Search, Grounding, and Training. UIP supports all data types and structured data across web, PDF, image, video, local, shopping, etc. The candidate will focus on defining KPIs for success, doing deep data analysis, writing product specifications, and delivering complex large projects.

This is a highly collaborative, cross-functional role ideal for someone who thrives in operational complexity, is deeply organised, and loves working at the intersection of people, process, and product quality. You will partner closely with engineering, research, design, data science, legal, privacy, and security teams to build compliant, scalable, high-quality AI systems that serve hundreds of millions of users.

Responsibilities

• Strategy & Vision
• Define the multi-year product vision and strategy for Microsoft AI Experience Index Pipelines, related success metrics, feedback loops, and testing mechanisms.
• Create strategies for processing all kinds of entities/data types, real-time injection of critical data at scale, and on-boarding different teams that want to process and build large-scale indexes.

• Execution & Delivery
• Define success criteria, OKRs, and KPIs across multiple product surfaces and organisational boundaries.
• Establish methodologies for on-boarding SLM/LLMs and platform support for large-scale publish-subscribe mechanisms.
• Drive platform architecture decisions in partnership with engineering and research teams.
• Plan, size, and continuously optimise capacity (compute, storage, data throughput, and cost) to build, scale, and operate training pipelines reliably.

• Cross-Functional Leadership
• Partner with Legal, Privacy, Security, HR, and Compliance teams to ensure platforms are compliant-by-design.
• Collaborate with teams across Microsoft that need to process, build, or access very large indexes for Search or AI scenarios.
• Define and evangelise processes for developers and researchers to improve labelling workflows, model-as-a-judge systems, and agentic evaluation pipelines.

• Innovation & Technical Depth
• Research, design, and operationalise new evaluation techniques and metrics that improve the quality and reliability of LLM and ML-based products.
• Go deep into new technical areas quickly and provide clarity to engineering teams on requirements, architecture, and trade-offs.

Qualifications

Required Qualifications:

• Bachelor’s Degree AND 5+ years experience in product/service/program management or software development
• OR equivalent experience.

Preferred Qualifications:

• Bachelor’s Degree AND 8+ years experience in product/service/program management or software development
• OR equivalent experience.
• 4+ years experience managing cross-functional and/or cross-team projects.
• Outstanding analytical skills
• Experience in writing good detailed technical specifications for all new features
• Good understanding of LLM, Big Data, Machine Learning, and Data Mining.
• Understanding of Security, Privacy, and Compliance practices.
• Attention to detail, planning, organisation, and project management skills
• Ability to quickly adapt to new technology and go deep in new focus areas.
• Excellent oral and written communication skills with the ability to collaborate effectively with a large number of partners and customers and translate requirements into a product vision and roadmap.

Benefits

• 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.