עדיין מחפשים עבודה במנועי חיפוש? הגיע הזמן להשתדרג!
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
מלאה
30,000-45,000 ₪
We are seeking a Senior AI Product Manager to lead the strategy and execution of enterprise-grade Edge AI solutions for our Adaptive Cloud and Azure Arc customers.
The ideal candidate is highly technical, hands-on, and comfortable engaging deeply with customers, including leading technical PoCs, requirements discovery, architectural discussions, and solution validation. You will bridge customer needs, engineering execution, and go-to-market strategy to ensure successful adoption of Edge AI solutions across industries such as manufacturing, retail, media, and IoT.
We are a global organization; this role involves close collaboration across time zones and regular direct engagement with enterprise customers and partners, both remotely and on-site.
Responsibilities
Product Strategy & Roadmap
Own the product vision and roadmap for enterprise Edge AI capabilities, with a strong emphasis on scalability, security, reliability, and operational excellence.
Identify B2B customer pain points through direct engagement and translate them into clear, actionable product requirements and priorities.
Balance customer-specific learning with building repeatable, platform-level capabilities.
Hands-On Execution & Delivery
Work closely with engineering to define, design, and deliver Edge AI features, from concept through production.
Act as the product owner for end-to-end customer scenarios, ensuring requirements are well understood and technically feasible.
Lead and support customer-facing technical PoCs, including defining success criteria, validating architectures, and incorporating learnings into the product roadmap.
Ensure solutions align with Responsible AI, security, privacy, and enterprise compliance standards.
Drive orchestration and lifecycle strategies for AI workloads in highly distributed, edge-based environments.
Enterprise Customer Engagement & Experience
Serve as a primary product point-of-contact for enterprise customers, engaging directly with technical and business stakeholders.
Lead requirements gathering, use-case definition, and solution discovery sessions with customers.
Partner with field teams to support pre-sales and post-sales product engagements, ensuring successful adoption and long-term customer value.
Capture customer feedback systematically and translate it into product improvements and roadmap adjustments.
Go-To-Market & Ecosystem Collaboration
Partner with sales, marketing, and business development to shape enterprise-ready positioning, messaging, and value propositions.
Support launch readiness, including pricing, packaging, and enablement for field and partner teams.
Work with strategic partners and customers to validate solutions and accelerate enterprise adoption.
Define and track success metrics across customer satisfaction, adoption, usage, and business impact.
The ideal candidate is highly technical, hands-on, and comfortable engaging deeply with customers, including leading technical PoCs, requirements discovery, architectural discussions, and solution validation. You will bridge customer needs, engineering execution, and go-to-market strategy to ensure successful adoption of Edge AI solutions across industries such as manufacturing, retail, media, and IoT.
We are a global organization; this role involves close collaboration across time zones and regular direct engagement with enterprise customers and partners, both remotely and on-site.
Responsibilities
Product Strategy & Roadmap
Own the product vision and roadmap for enterprise Edge AI capabilities, with a strong emphasis on scalability, security, reliability, and operational excellence.
Identify B2B customer pain points through direct engagement and translate them into clear, actionable product requirements and priorities.
Balance customer-specific learning with building repeatable, platform-level capabilities.
Hands-On Execution & Delivery
Work closely with engineering to define, design, and deliver Edge AI features, from concept through production.
Act as the product owner for end-to-end customer scenarios, ensuring requirements are well understood and technically feasible.
Lead and support customer-facing technical PoCs, including defining success criteria, validating architectures, and incorporating learnings into the product roadmap.
Ensure solutions align with Responsible AI, security, privacy, and enterprise compliance standards.
Drive orchestration and lifecycle strategies for AI workloads in highly distributed, edge-based environments.
Enterprise Customer Engagement & Experience
Serve as a primary product point-of-contact for enterprise customers, engaging directly with technical and business stakeholders.
Lead requirements gathering, use-case definition, and solution discovery sessions with customers.
Partner with field teams to support pre-sales and post-sales product engagements, ensuring successful adoption and long-term customer value.
Capture customer feedback systematically and translate it into product improvements and roadmap adjustments.
Go-To-Market & Ecosystem Collaboration
Partner with sales, marketing, and business development to shape enterprise-ready positioning, messaging, and value propositions.
Support launch readiness, including pricing, packaging, and enablement for field and partner teams.
Work with strategic partners and customers to validate solutions and accelerate enterprise adoption.
Define and track success metrics across customer satisfaction, adoption, usage, and business impact.
Requirements:
Qualifications
6+ years of product management experience, with significant experience in B2B / enterprise products.
At least 2 years of experience in AI/ML, Edge Computing, Distributed Systems.
Strong technical background with the ability to lead technical discussions with customers, read and write technical specs, understand APIs, and work closely with engineering teams.
Proven experience in end-to-end customer engagement, including requirements gathering, PoCs, and solution validation.
Bachelors degree in Computer Science, Engineering, Information Systems, or a related technical field.
Preferred
Experience working directly with large global enterprise customers and complex production environments.
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 comfort operating in highly technical, ambiguous, and customer-facing environments.
Qualifications
6+ years of product management experience, with significant experience in B2B / enterprise products.
At least 2 years of experience in AI/ML, Edge Computing, Distributed Systems.
Strong technical background with the ability to lead technical discussions with customers, read and write technical specs, understand APIs, and work closely with engineering teams.
Proven experience in end-to-end customer engagement, including requirements gathering, PoCs, and solution validation.
Bachelors degree in Computer Science, Engineering, Information Systems, or a related technical field.
Preferred
Experience working directly with large global enterprise customers and complex production environments.
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 comfort operating in highly technical, ambiguous, and customer-facing environments.
This position is open to all candidates.
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
ערב
3 חודשים
