לוח משרות דרושים בהר אדר

Lead the Growth Data Analytics team, a group turning complex data into decisions that move the business forward. The Team Lead will be responsible for creating strong priorities, setting a high bar for analytical quality, and supporting decision-ready outputs fast.

Lead a team of data and business analysts to deliver clear, actionable insights with measurable business outcomes

Define the acquisition and growth metrics framework and maintain a single source of truth in dashboards and models

Plan and prioritize the teams pipeline against business goals; solve pain points and keep momentum in a fast-paced environment

Partner with marketing, product, and data engineering to define, measure, and optimize core business models and user journeys

Establish pragmatic practices for quality and scale, including reviews, QA, documentation, and lightweight standards that speed up decisions

Recruit, onboard, and help analysts succeed while fostering a culture of sharp thinking, crisp communication, and ownership

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.