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In this role, you will work at the forefront of automated attack disruption, developing capabilities that detect and respond to advanced threats in real time, regardless of the attack workflow or stage in the kill chain. You will examine diverse and complex signals across on-premises, hybrid, and cloud environments, hunting for emerging adversary techniques, uncovering novel patterns of malicious behavior, and transforming research findings into practical, scalable protection. Your work will span from the earliest ideation stages to production-ready, customer-facing capabilities: researching and modeling attack techniques, identifying the necessary telemetry, designing robust detection logic, and ensuring that our automated disruption mechanisms can respond effectively in real-world conditions. This is an opportunity to have a direct impact on the security of organizations worldwide by building autonomous defense systems that stay ahead of evolving threats and protect customers at scale. You will collaborate closely with engineers, threat analysts, and product teams, bringing creativity and rigor to the challenge of stopping some of the most advanced attacks in the industry before they can cause harm. Our team values diversity and strives to hire individuals with varied experiences and perspectives. We understand that no candidate possesses every desired skill and experience, but together, we form a strong, effective team.



Responsibilities
Provide cybersecurity expertise as needed during security escalations and incidents to help protect Microsoft and our customers
Proactively hunt across diverse signal sources including on-premises, hybrid, and cloud environments
Stay current with the latest cyberattack trends and design robust, sophisticated detection logic across the full attacker kill-chain.
Build and implement innovative automated disruption capabilities that autonomously detect and mitigate attacks in real time.
Collaborate with engineering and product teams to design security sensors, validate protection ideas, and measure effectiveness using data-driven approaches.
Contribute to the broader security community by authoring technical blogs, sharing research findings, and presenting at leading security conferences.

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!)



Responsibilities
Shape

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.