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You’ll work on products with massive scale and impact, shaping capabilities used by enterprise customers across the world. The team offers a collaborative environment where engineers, designers, and PMs work together with autonomy, trust, and a shared commitment to customer value. You will have the opportunity to drive complex, cross‑organizational initiatives, influence strategic direction, and meaningfully impact Microsoft’s cloud, AI, and security ecosystem. We value curiosity, ownership, and strong product craft — and we provide the space, mentorship, and tooling needed for PMs to innovate and grow. If you enjoy solving sophisticated problems, working across organizational boundaries, and building secure, intelligent, customer‑first experiences, this team is the right place for you.
Job Responsibility:
Define and drive product strategy for high‑impact, customer‑centric capabilities, ensuring alignment with organizational priorities and measurable outcomes
Lead the end‑to‑end product lifecycle — from problem definition and roadmap creation to execution, validation, and successful customer adoption
Partner closely with engineering, design, data science, security, and cross‑functional stakeholders to deliver secure, scalable, reliable product experiences
Apply strong analytical rigor, leveraging advanced analysis skills with any query language across large‑scale data systems to guide prioritization, validate direction, and drive product decisions
Communicate strategy, risks, and progress to senior leadership using crisp, data‑driven storytelling
Drive clarity and alignment across teams in highly ambiguous spaces, ensuring the product vision is well understood and continuously refined
Mentor junior PMs and help elevate product craft, operational excellence, and customer obsession across the team
Represent customer needs across the organization, ensuring solutions address real‑world enterprise and cloud‑scale problems
Requirements:
5–7 years of product management experience with end‑to‑end ownership of complex technical products
Strong history of delivering large‑scale cloud or enterprise features in collaboration with engineering teams
Demonstrated ability to use large‑dataset analytical techniques (via any query language) to drive product decisions
Background in distributed systems, enterprise SaaS, or secure cloud services is highly valuable
Experience shipping or contributing to AI‑powered features or workflows is a significant advantage
A BS in Computer Science, Engineering, Information Systems, or a technical equivalent is preferred
background is cybersecurity / protection products is highly valuable