Principal Product Manager - M365 Copilot Workflows

1 Month ago • All levels • Artificial Intelligence

Job Summary

Job Description

This role involves building a customer-facing AI workflow adoption program for M365 Copilot. Responsibilities include developing managed and unmanaged customer engagement programs, acting as a bridge between customers and engineering, gathering insights and prioritizing features, and working with sales and customer success teams. Technical leadership responsibilities include driving the vision of Microsoft's AI infrastructure (Copilot APIs, Graph Connectors), ensuring quality and scalability, and collaborating with engineering teams. The role also demands collaboration with UX designers, staying ahead of AI infrastructure trends, and representing the company at industry events.
Must have:
  • Bachelor's degree or equivalent experience
  • Deep understanding of AI/ML
  • Experience with workflow automation tools
  • Proven customer engagement skills
  • Strong leadership and cross-functional collaboration
  • Passion for AI and its business applications
Good to have:
  • Experience building v1 products
  • Experience building customer engagement programs from scratch

Job Details

Overview

 

We are on a mission to revolutionize how businesses harness the power of AI. By combining cutting-edge technology and a relentless focus on customer needs, we aim to create infrastructure and user experiences that transform AI from complex to indispensable. We are seeking a visionary, self-starter Principal Product Manager to build our customer facing AI workflow adoption program. This role is a ground-breaking opportunity to shape the future of AI for users across all business functions. You will be at the forefront of helping develop cutting-edge AI solutions, engaging customers to understand their technical and business needs, and driving the evolution of M365 Copilot and underlying infrastructure components like Graph Connectors and APIs. Your technical expertise in product development, quality and user experience methodologies will ensure that our AI products exceed the shipping bar. 

 

Microsoft 365 Copilot Customer & Partner Ecosystem (CAPE) Team 

We collaborate with customers and strategic ISVs globally to drive innovation and deliver exceptional solutions. Our team also oversees the Microsoft Teams Product and Platform Ecosystem, which includes Collaborative Apps, Core, Calling, Meetings, and Copilot in Teams. Teams is one the most important interface for Copilot and we continue to invest in enhancing the Teams experience for over 300M users and empowering users with cutting-edge tools and features. 

 

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Qualifications

 

  • Bachelor's Degree AND experience in product/service/project/program management or software development
    • OR equivalent experience.
  • Technical Expertise: In-depth understanding of AI/ML frameworks, cloud platforms, and data pipelines. Ability to partner effectively with other product managers and engineering teams to deliver complex technical solutions. 
  • UX and Product Thinking: Experience translating complex AI technologies into intuitive and accessible user experiences. 
  • Workflow Expertise: Experience in hands-on workflow automation using Power Automate, UiPath or other similar tools.  
  • Customer-Centric: Proven track record of engaging directly with customers to gather requirements and deliver solutions that exceed expectations. 
  • Leadership: Demonstrated strategic thinking and the ability to influence and lead cross-functional teams. 
  • Passion for AI: Deep interest in AI and its potential to transform business workflows. 

Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications: 

  • Experience building v1 products. 
  • Experience building customer engagement programs from ground up.  

 

Responsibilities

 

Customer Engagement Programs: 

  • Build the foundation for new workflow adoption program. 
  • Build managed and unmanaged customer engagement programs that can scale and be replicated for new products. 
  • Act as the bridge between customers and engineering, deeply understanding AI adoption challenges and feature needs. 
  • Engage with business users, data scientists, and IT teams worldwide to gather insights and prioritize technical features. 
  • Work closely with sales and customer success teams to ensure AI adoption and seamless integration into business workflows. 

Technical Leadership: 

  • Drive the technical execution and vision of Microsoft’s AI infrastructure like Copilot APIs, Graph Connectors and more, ensuring quality, scalability, security, and efficiency. 
  • Collaborate with engineering teams to test and validate AI deployment pipelines, data processing frameworks, and API integrations. 
  • Develop deep expertise in cloud-based AI/ML services, containerized workloads. 
  • Translate complex technical concepts into actionable strategies for AI infrastructure evolution. 
  • Demonstrate modern engineering excellence through cutting-edge customer testing & validation methodologies.  

Global Collaboration: 

  • Collaborate with engineering teams worldwide to align on shipping criteria and ensure seamless execution of product validation strategies. 
  • Work with our global organization to develop an agile and structured customer engagement plan. 
  • Foster a culture of knowledge-sharing and teamwork across geographically distributed teams to build best-in-class AI infrastructure. 

User Experience (UX) Collaboration: 

  • Partner with UX designers to create intuitive and seamless experiences that bridge the gap between complex AI technologies and business users’ needs. 
  • Advocate user-centered design principles and ensure that the AI products are intuitive and valuable to non-technical stakeholders. 

Thought Leadership & Industry Influence: 

  • Stay ahead of AI infrastructure trends, open-source technologies, and cloud advancements. 
  • Represent the company at industry events, conferences, and customer forums including onsite visits to observe users. 
  • Drive technical content creation, including blogs, whitepapers, and webinars. 

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