Sr. Product Manager
Listed on 2026-01-23
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IT/Tech
AI Engineer
Overview
About this opportunity: This position needs to be located in one of the following areas:
Boise, Santa Clara, Plano, or EST preferred. Ericsson Inc. does not sponsor US work authorizations for this job position including H-1B, O-1, L-1 and TN. Ericsson also does not hire F-1’s working on EAD for this position.
About this opportunity: This position needs to be located in one of the following areas:
Boise, Santa Clara, Plano, or EST preferred. Ericsson Inc. does not sponsor US work authorizations for this job position including H-1B, O-1, L-1 and TN. Ericsson also does not hire F-1’s working on EAD for this position.
We are seeking an experienced and motivated Senior Product Manager to define and execute the product strategy for AI-driven solutions within our cloud management platform (Net Cloud), with a focus on Private 5G and enterprise wireless use cases. This role is part of a team responsible for introducing and accelerating new technology adoption and delivering high-value capabilities that solve operational challenges for customers.
Why Join Us? This is a high-impact, high-visibility role at the intersection of three transformative technologies today: AI, Cloud, and Wireless. You will have the opportunity to shape a growing product category and directly enable business transformation of top-tier global enterprises.
What You Will Do- Product Strategy & Vision:
Define the strategic roadmap and product vision for leveraging AI/ML to enhance the management, orchestration, monitoring, and optimization of private 5G networks and other enterprise wireless/networking infrastructure within the cloud platform. - Customer & Market Insight:
Deeply understand the challenges faced by network operators, IT teams, and developers managing private 5G and enterprise edge infrastructure. Conduct competitive analysis and market research to identify opportunities for differentiation through AI. - Feature Definition & Execution:
Translate market needs and technical possibilities into detailed product requirements and acceptance criteria. Prioritize the backlog to maximize customer value and business impact. - Go-to-Market (GTM) Strategy:
Collaborate closely with Marketing, Sales, and Solutions Engineering to develop compelling messaging, sales enablement materials, and GTM plans for new AI-powered features. - Cross-Functional Leadership:
Serve as the product owner, working with Engineering, Data Science, UX/UI, Architecture, Compliance/Legal, and other teams to guide the entire product lifecycle from ideation to launch and iteration. - Technical Translator:
Act as the bridge between cutting-edge AI research/engineering and customer-facing product value, ensuring AI models and data pipelines are integrated into the product in a meaningful, scalable, cost-effective, and secure way. - Business Performance:
Define and track key performance indicators (KPIs) related to AI feature adoption, customer value, and overall product success.
- 5+ years of professional experience, with a minimum of 3+ years in a Product Management role defining and launching enterprise software or cloud services.
- Communication & Influence:
Exceptional written and verbal communication skills, including the ability to articulate strategic vision cross-functionally, clarify technical nuance and implementation requirements with R&D, and translate technical concepts to a non-technical audience (executives, sales, customers). This is the single most important skill for this job. Please acknowledge this emphasis. Very strong communication skills are essential. - Deep Expertise in Enterprise Networking/Wireless:
Solid understanding of enterprise networking concepts, including experience with mobile wireless network infrastructure, RAN, Core, User Equipment (UE), routers, and switches. Specific experience with Private 5G or enterprise LTE is a significant plus. - Experience with AI/ML Products:
Proven track record of defining and launching products or features that rely on machine learning, predictive analytics, or large-scale data processing (e.g., AIOps, predictive maintenance, resource optimization). - Cloud Platform
Experience:
Familiarity…
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