We are seeking a Senior AI Product Manager to lead the strategy and execution of AI solutions optimized for edge environments for Microsofts Adaptive Cloud and Azure Arc customers. This role focuses on enabling low-latency, high-performance AI workloads that run on distributed infrastructure while integrating seamlessly with cloud services and with Microsoft Foundry products.
The ideal candidate is technical, hands-on, and deeply familiar with AI systems, capable of bridging business needs with engineering execution. You will define the roadmap, partner with engineering, and ensure our products deliver real-world impact across industries such as manufacturing, retail, and IoT.
Microsoft is a global organization, so we collaborate across time zones and occasionally travel to meet customers or attend key events.
(Bonus: If you love solving complex problems and get excited about running AI where the internet barely reaches - this role is for you!)
Key Responsibilities
Product Strategy & Roadmap
Define and own the vision for Edge AI capabilities, ensuring scalability, security, and performance.
Identify customer pain points and translate them into actionable product requirements.
Execution & Delivery
Work closely with engineering to design and deliver AI features for edge deployments.
Ensure compliance with Responsible AI principles and security standards.
Drive AI workloads and orchestration strategies for distributed environments.
Customer & Market Engagement
Engage with enterprise customers to understand edge AI scenarios and adoption blockers.
Analyze competitive landscape and ensure differentiation through innovation.
Go-To-Market Expertise
Partnering with marketing, sales, and business development to craft positioning and messaging.
Driving launch readiness, pricing, and packaging decisions.
Engaging with customers and partners to validate value propositions and accelerate adoption
Measuring success through data and metrics, customer feedback, and revenue impact.
Requirements: Required:
6+ years in product management, with at least 2 years in AI/ML or edge computing.
Proven technical backgroundability to read technical specs, understand APIs, and work closely with engineering teams.
Preferred:
Familiarity with Kubernetes and container orchestration platforms.
Hands-on experience with AI frameworks, AI model deployment, containerization, and cloud-to-edge architectures.
Strong problem-solving skills and ability to operate in highly technical environments.
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