Principal Product Manager Job at Microsoft Corporation (Redmond)

Job Description

Commercial Engineering & AI (CEAI) partners closely with stakeholders to accelerate the transformation of Microsoft's commercial business into a frontier organization. We bring together AI-native engineering, modern platforms, and deep commercial insight to reimagine how work gets done - at scale and with impact. Our mission is to unlock new ways of operating through intelligent systems while creating the conditions for our teams to do the most meaningful work of their careers. If you're excited to build, experiment, and shape the future of commercial execution with AI at the core, we invite you to apply. The Scale & Partner AI (SPAI) team is hiring a Principal Product Manager to help define the next generation of autonomous selling experiences at Microsoft. Autonomous selling is a forward-looking product area focused on agentic capabilities that move sellers from insight to action, helping identify opportunities, orchestrate signals, qualify and progress customer motions, and create measurable business impact across the SME&C segment. This role will lead a focused innovation motion that works ahead of the production roadmap. The successful candidate will define product hypotheses, validate customer and seller value, partner with engineering and design to prototype new experiences, establish success metrics and decision frameworks, and help translate validated bets into scalable roadmap investments. The role requires comfort operating in ambiguity, strong product judgment, data-driven decision making, and the ability to collaborate across engineering, design, data science, sales, partner, and business stakeholders. 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.

Job Responsibility

Define product vision, strategy, and experimentation plans for autonomous selling scenarios, AI agents, and seller workflow automation.
Lead discovery for future-facing product opportunities, including customer and seller research, competitive analysis, prototype feedback, telemetry review, and business impact assessment.
Partner closely with engineering, design, data science, research, and business stakeholders to create prototypes, evaluate technical feasibility, and iterate quickly based on evidence.
Translate ambiguous opportunities into crisp product requirements, PRDs, success metrics, learning agendas, and decision frameworks that guide investment and prioritization.
Drive experiments from concept through review, including hypothesis definition, experience design, evaluation criteria, risk assessment, demo/readout, and recommendations to scale, iterate, or stop work.
Build a clear path for validated concepts to transition into the broader SPAI product roadmap, including alignment with production owners, engineering plans, telemetry needs, and stakeholder communications.
Use data, experimentation, customer feedback, and business outcomes to determine whether a capability should be promoted, reworked, or closed.
Collaborate across Microsoft commercial, product, engineering, and field teams to ensure autonomous selling investments are grounded in real seller workflows and customer value.
Communicate clearly through written narratives, product briefs, executive-ready updates, and decision documents that create alignment without unnecessary process overhead.
Model Microsoft's culture and values, contributing to an inclusive, high-accountability team environment that encourages learning, responsible AI practices, and thoughtful innovation.

Requirements

Bachelor's Degree AND 8+ years experience in product/service/program management or software development OR equivalent experience.
Experience defining product strategy, customer scenarios, requirements, roadmaps, and success metrics for technical products or platform experiences.
Experience working with AI, automation, agentic workflows, CRM/seller tools, enterprise software, or workflow productivity products.
Experience partnering cross-functionally with engineering, design, data science, research, business, and field stakeholders to deliver product direction and measurable outcomes.
Experience using customer feedback, telemetry, experimentation, or market insights to evaluate product opportunities and make prioritization decisions.
Experience incubating 0-to-1 products or new product capabilities from concept through prototype, validation, and scaled roadmap adoption.
Experience with LLM-based products, AI agents, prompt/evaluation workflows, human-in-the-loop systems, responsible AI considerations, or modern AI product development practices.
Experience in sales technology, CRM, commercial operations, seller productivity, revenue workflows, partner ecosystems, or customer engagement platforms.
Demonstrated ability to operate in ambiguous environments, simplify complex problem spaces, and make clear recommendations using evidence and product judgment.
Written and verbal communication skills, including the ability to create concise narratives, product briefs, executive updates, and decision documents.
Experience with a product mindset with a bias for learning, experimentation, customer empathy, and disciplined decisions to scale, pivot, or stop work based on evidence.
Ability to influence without authority across product, engineering, business, and field teams while maintaining a collaborative and inclusive working style.

Nice to have

Experience defining product strategy, customer scenarios, requirements, roadmaps, and success metrics for technical products or platform experiences.
Experience working with AI, automation, agentic workflows, CRM/seller tools, enterprise software, or workflow productivity products.
Experience partnering cross-functionally with engineering, design, data science, research, business, and field stakeholders to deliver product direction and measurable outcomes.
Experience using customer feedback, telemetry, experimentation, or market insights to evaluate product opportunities and make prioritization decisions.
Experience incubating 0-to-1 products or new product capabilities from concept through prototype, validation, and scaled roadmap adoption.
Experience with LLM-based products, AI agents, prompt/evaluation workflows, human-in-the-loop systems, responsible AI considerations, or modern AI product development practices.
Experience in sales technology, CRM, commercial operations, seller productivity, revenue workflows, partner ecosystems, or customer engagement platforms.
Demonstrated ability to operate in ambiguous environments, simplify complex problem spaces, and make clear recommendations using evidence and product judgment.
Written and verbal communication skills, including the ability to create concise narratives, product briefs, executive updates, and decision documents.
Experience with a product mindset with a bias for learning, experimentation, customer empathy, and disciplined decisions to scale, pivot, or stop work based on evidence.
Ability to influence without authority across product, engineering, business, and field teams while maintaining a collaborative and inclusive working style.

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