Role intent Live

Technical Program Manager

Microsoft

Work Mode

Onsite

Employment Type

FULL TIME

Location

India, Karnataka, Bangalore

Application Deadline

August 30, 2026

Working across our engineering teams and with our most strategic customers and partners, you will deliver high-quality, sticky and transformative Copilot agents for use by millions of end-users. Research, contextualize and evangelize frontier solutions, technology trends and opportunities to drive longer-term investments and product shifts. Cover multiple regions in the Eastern Hemisphere and work with peer product teams in the Americas and Europe (occasional flexibility around work schedules is…

Responsibilities

Work with product managers, developers, UX designers from our most strategic customers across C-suite, architects and developers. Explore the customer problem space and key requirements, pitch the potential of generative AI agents to transform business processes, lead envisioning and UX/technical design through with developers to build, ship and adopt Copilot agents into production. Build POC prototypes to bring customers' vision to life. Work directly with your feature crew colleagues across M365 Copilot platform engineering to design and deliver innovative extensibility features, including technical envisioning for how Copilot agents will work and interact with other services and applications. Determine adoption strategy for the Copilot agents shipped, unblock adoption, deployment and engagement to realize end-user and business value or ROI among target strategic customers. Develop and drive strategic initiatives to enable ā€œhockey stickā€ ecosystem growth based on emerging AI agent capabilities, industry trends and strategic partnerships.

Required Qualifications

Bachelor's Degree AND 2+ years experience in engineering, product/technical program management, data analysis, or product development. 1+ year(s) of experience managing cross-functional and/or cross-team projects. Previous experience with proven success in working on customer-facing technical engagements. Previous experience working in the generative AI domain, strong familiarity with AI fundamentals, LLMs, RAG, GPTs, AI agents, AI cloud services architecture etc. Hands on experience with tools like Replit, Cursor, LangChain, LllamaIndex, OpenAI APIs, Auto-GPT, Hugging Face Transformers, GitHub Copilot, Lovable, Claude, etc. is a must. Strong executive presence and ability to think analytically and creatively on your feet. The ability to wear many hats and speak many language - from business to product to design to technical - learn quickly and change direction when needed. Experience presenting to senior executives, technical product/IT/BDM staff and end users; able to pivot quickly and adapt messaging to suit audience technical levels and ROI/value requirements. Demonstrated ability of very strong product thinking, technical solutioning, continuous tech upskilling and growth mindset. The ability to think creatively and critically about product features, user journeys and scenarios in the enterprise workflows space. Self-organized, strong project management, growth hacking, leadership and cross-group collaboration skills. Innate curiosity and ability to self-start in an ambiguous, highly autonomous and rapidly changing, new domain with evolving product, technology and customer maturity. Excellent written and verbal communication/presentation skills through all levels of the organization, technical and non-technical. Good problem-solving skills and ability to think strategically on the feet. Ability to hold technical discussions, go deep in technical areas, when required, especially in domains of generative AI, LLM technology. Proven ability to build data-driven product experiences, define metrics and use analytics to derive insights to arrive at product & growth decisions. Bachelor's Degree AND 5+ years experience in product/service/project/program management or software development. OR equivalent experience. 5+ years of product management experience with proven success in working with enterprise developer partners & customers. Recent experience building and prototyping generative AI-based solutions (RAG, GPT, LLM) and general awareness of the rapidly-evolving AI, especially generative AI landscape. Hands-on expertise with AI agents as a ā€œbuilderā€ using low-code/no-code or pro-code tools or technical stacks.

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