Sign up with

Already have an account? Log in here

Need some help?
Talk to us at +91 7670800001

Senior AI Product Manager - Edge AI at Microsoft

Herzliya, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

19 Feb, 26

Salary

0.0

Posted On

21 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Product Management, AI/ML, Edge Computing, Technical Background, Kubernetes, Container Orchestration, AI Frameworks, AI Model Deployment, Containerization, Cloud-to-Edge Architectures, Problem-Solving, Technical Environments

Industry

Software Development

Description

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. Required: 6+ years in product management, with at least 2 years in AI/ML or edge computing. Strong technical background—ability to read technical specs, understand APIs, and work closely with engineering teams. 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.

Responsibilities

Define and own the vision for Edge AI capabilities while ensuring scalability, security, and performance. Engage with enterprise customers to understand edge AI scenarios and adoption blockers.