Role intent Live

Product Management IC4

Microsoft

Work Mode

Onsite

Employment Type

FULL TIME

Location

India, Telangana, Hyderabad

Application Deadline

September 2, 2026

Own end-to-end product outcomes, from strategy through execution, using OKRs and data insights to measure success. Launch, iterate, and optimize high-impact features through experimentation and data-driven learning. Mentor junior PMs and help strengthen product management practices across the CoreAI organization. Champion an inclusive, responsible AI culture that emphasizes customer trust, scalability, and innovation.

Responsibilities

Define and drive the long-term product strategy for core AI platform capabilities that power Azure AI and developer experiences. Lead cross-functional initiatives across engineering, design, and partner teams, driving alignment and clarity in complex, multi-team environments. Engage deeply with developers, data scientists, and enterprise customers to uncover needs, synthesize insights, and translate them into scalable product capabilities. Drive Product-Led Growth, enabling self-service adoption and expanding the developer ecosystem through extensible platform experiences.

Required Qualifications

Bachelor's degree (or equivalent) in engineering, computer science or related field. 6+ years in product management or software development with product responsibilities. At least 2 years leading the launch of complex products targeted at developers or ML/AI professionals. Deep curiosity about how developers build, and a drive to simplify complex workflows through great product experiences. Hands-on experience with AI/ML technologies and cloud platforms. Demonstrated track record of delivering products that resonate with technical audiences and drive measurable business outcomes. Strong analytical mindset and ability to make data-driven decisions. Excellent communication skills - able to engage both technical and non-technical stakeholders. * Comfortable working in fast-paced, ambiguous environments and driving clarity through complexity. Master's degree in a relevant field. Experience working in large-scale cloud or AI infrastructure teams. Experience with product-led growth models in a developer ecosystem.

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