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Sr. Product Manager AI Private 5G

Ericsson

Bernards · On-site Full-time Senior $152k – $191k/yr 1w ago

About the role

About this opportunity

The Opportunity: 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 (NetCloud), 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.

Location

Preference for Boise, US East/Central time, or Santa Clara, CA

Sponsorship

Ericsson Inc. does not sponsor US work authorizations for this job position including H‑1B, O‑1, and TN. Ericsson also does not hire F‑1's working on EAD for this position.

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.

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 (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 with major public cloud providers (AWS, Azure, GCP) or experience with large‑scale cloud management or orchestration platforms (e.g., Kubernetes, OpenStack, 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 an area of technical competence (Computer Science, Engineering, Data Science, etc). An Advanced degree or MBA is a plus.

Why join Ericsson?

At Ericsson, you'll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what's possible. To build solutions never seen before to some of the world's toughest problems. You'll be challenged, but you won't be alone. You'll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.

What happens once you apply?

Click Here to find all you need to know about what our typical hiring process looks like.
Ericsson uses a merit‑based hiring approach that values people with different experiences, perspectives and skillsets. We truly believe this approach drives innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity employer, learn more.
If you need assistance or to request an accommodation due to a disability, please contact Ericsson at hr.direct.americas@ericsson.com.

Disclaimer

The above statements are intended to describe the general nature and level of work being performed by employees in this position. They are not an exhaustive list of all responsibilities, duties and skills required for this position, and you may be required to perform additional job tasks as assigned.

Primary country and city

United States (US) – Boise (ID)

Job details

Product Portfolio Management

Compensation and Benefits at Ericsson

Your Pay

  • The salary range for this position is dependent on various factors including, but not limited to, location, and the candidate's combination of job‑related knowledge, qualifications, skills, education, training, and experience.
  • LOCATION: Santa Clara, New Jersey : $152,400‑190,500
  • Your pay also includes the opportunity for an annual bonus. Actual bonus payouts are based on performance of the business against the unit's objectives, individual performance, and the individual bonus target. Certain eligibility and pro‑ration rules apply.

Your Health

  • Subsidized, nationwide PPO medical benefit options including a low‑deductible Point of Service Plan and a qualifying High Deductible Health Plan (HDHP), with a generous company‑provided HSA contribution.
  • For California employees, a subsidized HMO option through Kaiser.
  • Subsidized dental and vision coverage.

Your Financial Security

  • 401(k) plan with a 4% company match and immediate vesting.
  • Company‑paid employee basic life and AD&D insurance.
  • Company‑paid disability benefits.

Your Time

  • Minimum of 15 days of accrued vacation for new employees, up to 3 personal days per year, 11 annual holidays, 8 hours of volunteer time, and 80 hours of sick time annually (pro‑rated based on start date).
  • Up to 16 weeks of paid maternity leave and 6 weeks of parental or adoption leave at 100% of pay.

Additional Benefits

  • Comprehensive Employee Assistance Program, mobile therapy, and volunteer paid time off.

Requirements

  • 5+ years of professional experience, with a minimum of 3+ years in a Product Management role defining and launching enterprise software or cloud services.
  • 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).
  • Solid understanding of enterprise networking concepts, including experience with mobile wireless network infrastructure, RAN, Core, User Equipment (UE), routers, and switches.
  • 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).
  • Familiarity with major public cloud providers (AWS, Azure, GCP) or experience with large-scale cloud management or orchestration platforms (e.g., Kubernetes, OpenStack, cloud-native infrastructure).
  • Ability to engage in detailed technical discussions with data scientists and engineers regarding model performance, data requirements, and deployment architectures.

Responsibilities

  • 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.
  • 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.
  • Translate market needs and technical possibilities into detailed product requirements and acceptance criteria.
  • Prioritize the backlog to maximize customer value and business impact.
  • Collaborate closely with Marketing, Sales, and Solutions Engineering to develop compelling messaging, sales enablement materials, and GTM plans for new AI-powered features.
  • 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.
  • 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.
  • Define and track key performance indicators (KPIs) related to AI feature adoption, customer value, and overall product success.

Benefits

HSA contributiondental insurancevision insurance401(k) plan with 4% company matchbasic life and AD&D insurancedisability benefitspaid maternity leavepaid parental leavepaid adoption leaveEmployee Assistance Programmobile therapyvolunteer paid time off

Skills

AWSAzureGCPKubernetesOpenStackPrivate 5G

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