Principal Product Manager

Microsoft•Redmond, WA

4d•$142,800 - $304,200

About The Position

Microsoft is hiring a Principal Product Manager, Application Intelligence, to define an emerging product area that helps customers understand how their business processes operate, identify improvement opportunities, and turn insights into measurable business outcomes through people, applications, and AI agents. The role will define product strategy, experiences, and platform capabilities that make Application Intelligence foundational to how people and AI agents interact with business systems. This highly cross-functional position spans Business Applications, Work IQ, enterprise data and connectors, process intelligence, and agentic experiences. The product manager will work backwards from customers and partner with engineering, design, research, senior leaders, customers, and partner teams to shape and validate the product vision and deliver coherent customer outcomes. Microsoft describes its mission as empowering every person and organization to achieve more, and emphasizes a culture grounded in growth mindset, innovation, collaboration, respect, integrity, accountability, and inclusion.

Requirements

Bachelor's degree and 8+ years of experience in product, service, or program management or software development, or equivalent experience.
Ability to meet Microsoft, customer, and/or government security screening requirements, including passing the Microsoft Cloud Background Check upon hire or transfer and every two years thereafter.

Nice To Haves

Bachelor's degree and 12+ years of experience in product, service, or program management or software development, or equivalent experience.
6+ years of experience improving product metrics for a product, feature, or experience in a market, such as growing the customer base, expanding customer usage, or avoiding customer churn.
6+ years of experience disrupting a market for a product, feature, or experience, such as through competitive disruption or replacing an established competing product.
4+ years of experience taking a product, feature, or experience to market, including design, product-market fit, and launch, or launching an internal tool or framework.
Experience defining a new product area from ambiguous customer needs, testing hypotheses through prototypes or pilots, and using evidence to scale, redirect, or stop investment.
Experience defining and launching complex enterprise software, platform, or AI-powered products.
Experience working with enterprise applications, business processes, data platforms, developer platforms, or related technologies.
Experience defining products that span data, applications, workflows, and AI or agent experiences.
Sufficient experience to partner closely with engineering on enterprise data, integration, extensibility, AI agents, and application architecture.
Technical depth sufficient to make difficult product and platform-boundary decisions in ambiguous environments.
Demonstrated ability to influence senior stakeholders and distributed teams across organizational boundaries.
Strong customer instincts and experience using qualitative and quantitative evidence to make product investment and prioritization decisions.

Responsibilities

Define the product strategy and roadmap for emerging Application Intelligence experiences and capabilities.
Identify high-value business problems by working backwards from customers, and translate ambiguous needs into validated product opportunities.
Own requirements, user journeys, and end-to-end experiences spanning application and process discovery, analysis, insights, recommendations, and agentic actions.
Partner with engineering, design, and research to rapidly prototype and validate new experiences with customers before scaling investment.
Define success metrics, experimentation plans, and proof points to determine whether to scale, iterate, or stop an investment.
Determine how business data, application context, process signals, enterprise context, and agent capabilities come together across Microsoft products and platforms.
Make product and platform boundary decisions that create reusable intelligence capabilities rather than one-off solutions.
Influence roadmaps and dependencies across Business Applications, Work IQ, Agent 365, and partner teams to deliver coherent end-to-end customer outcomes.
Develop a point of view on how Application Intelligence changes business applications and enables AI agents to understand and improve how organizations operate.
Communicate product strategy, customer evidence, tradeoffs, and results to senior leadership, customers, and partners.