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Sr. Product Manager

Job in Marlton, Burlington County, New Jersey, 08053, USA
Listing for: Ericsson
Full Time position
Listed on 2026-02-12
Job specializations:
  • IT/Tech
    AI Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

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 students 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.

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:
    Understand 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 with Marketing, Sales, and Solutions Engineering to develop 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:
    Bridge between 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 KPIs related to AI feature adoption, customer value, and overall product success.
The Skills You Bring
  • 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. 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 with major public cloud providers (AWS, Azure, GCP) or experience with large-scale cloud management or orchestration platforms (e.g., Kubernetes, Open Stack, cloud-native infrastructure).
  • Technical Acumen:
    Ability to engage in detailed technical discussions with data scientists and engineers regarding model performance, data requirements, and deployment architectures.
  • Education:

    Bachelor's degree, preferably in a technical field. An Advanced degree or MBA is a plus.
Why join Ericsson

At Ericsson, you’ll have an outstanding opportunity to push the boundaries of what’s possible and craft solutions for some of the world’s toughest problems. You’ll be part of a diverse team of innovators driving to go beyond the status…

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