Role intent Live

Senior Product Manager

Microsoft

Work Mode

Onsite

Employment Type

FULL TIME

Location

India, Telangana, Hyderabad

Application Deadline

August 25, 2026

Architecting commerce to be AI-native — where agents purchase, renew, and optimize * Own product strategy and roadmap for a commerce workflow or platform capability; define outcomes, milestones, and measurable success metrics. g. , guided purchase, renewal assistance, proactive optimization), including guardrails, fallbacks, and evaluation criteria. 8+ years of software product & program management experience, including at least 3 years or equivalent experience in building enterprise grade B2B p…

Responsibilities

Identify where AI meaningfully improves customer and business outcomes (and where deterministic solutions are better) considering cost, reliability, latency, security, and compliance. Lead product discovery: customer interviews, problem framing, rapid prototyping, and validation; translate learnings into prioritized requirements. Write crisp PRDs and user stories for AI-assisted experiences (e. Partner with engineering, design, finance, operations, and go-to-market teams to deliver end-to-end experiences from ideation to launch and iteration. Use generative AI tools to accelerate PM work (analysis, synthesis, documentation, communication) and model best practices for secure and responsible usage. Communicate product narrative and trade-offs clearly to executives and stakeholders; influence without authority across complex organizations.

Required Qualifications

Bachelor's degree or higher in computer science or a related field, or equivalent experience and MBA from premium institute is preferred. Ownership, drive, and entrepreneurial mindset to build trust with internal and externals stakeholders. Experience in enterprise commerce, billing, subscription management, or related domains Strong collaboration skills to impact/influence engineering and cross functional teams Excellent communication, presentation, and influencing skills. Builds upon a strong team ethos and embodies company and division values, cultivating a culture based in diversity, inclusion, growth mindset, and customer obsession. Passion for customer satisfaction and launching high-quality products leveraging technology, data and AI. Hands-on use of generative AI tools (e.g., Copilot/ChatGPT/Gemini or equivalents) to improve productivity and quality of PM outputs (docs, analysis, planning, comms). Working knowledge of LLM capabilities and limitations, prompt patterns, grounding/verification, and basic evaluation concepts (quality, safety, latency, cost). Experience shaping or launching AI-assisted features (even if you did not build models) such as summarization, search assistance, recommendations, copilots, or workflow automation. Responsible AI mindset: understanding of privacy boundaries, security, transparency, bias risks, and human-in-the-loop design. Experience in enterprise commerce, billing, subscription management, pricing/licensing, or adjacent domains.

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