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Microsoft 365 Copilot harnesses the power of generative AI through foundational large language models to usher in a new era of AI-first productivity for hundreds of millions of enterprise users. As business workflows don't typically run exclusively on Microsoft 365 applications and data formats, Copilot is built as a platform right from the very beginning. Using extensibility, customers augment M365 Copilot with AI agents – which leverage custom skills, organizational-specific knowledge and natural language instructions to enable truly spectacular AI scenarios and power connected workflows. M365 Copilot Platform Ecosystem team is designing and building innovative AI agents on the M365 Copilot platform, including agent templates for makers as well as more bespoke solutions with leading customers. As a Technical Program Manager II in the team, you will drive the next wave of agents built using the latest generative AI technology on M365 Copilot’s extensible platform. 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. This engineering PM role is an excellent opportunity to don both scenario and experience-focused product PM as well as an external-facing solutions PM (Ecosystem PM) hats – at the same time!
Job Responsibility:
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
Serve as a key subject matter expert on M365 Copilot/Azure AI Foundry/Microsoft AI platform and agent capabilities, architecture
collaborate closely with peers, external partners and customers to train, advise and guide on technical capabilities, solution design and AI platform strategy
Drive key product insights and developer ecosystem signals coming straight from the market to shape the future of the M365 Copilot, help drive backlog prioritization, envisioning and spec’ing of new, innovative extensibility features and our AI extensibility stack inside Microsoft 365 Copilot app, Teams, Outlook, Word, PowerPoint, Excel, Windows and other host products
Get exposure to 100s of diverse scenarios working alongside customers & partners using M365 Copilot (Microsoft's biggest bet since 'a PC on every desk') - basically never get bored since no two solutions are alike!
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 “hockey stick” ecosystem growth based on emerging AI agent capabilities, industry trends and strategic partnerships
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 expected)
Embody our culture and values
Requirements:
Bachelor's Degree AND 2+ years experience in engineering, product/technical program management, data analysis, or product development
OR equivalent experience
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
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
Nice to have:
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 “builder” using low-code/no-code or pro-code tools or technical stacks
Hands-on experience or solid familiarity with the Microsoft technology stack is preferred (M365 Copilot extensibility, AI agents, Azure OpenAI, Azure AI Foundry, Graph Connectors, Microsoft Teams extensibility platform, etc.)