Product Manager II
Englewood, Arapahoe County, Colorado, 80151, USA
Listed on 2026-03-05
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IT/Tech
Data Analyst
Hybrid 4 onsite / 1 work from home in Englewood, CO
The Product Manager II will leverage internal employee and external user feedback to drive data-driven investigations that improve Advanced WiFi performance and interoperability. The role converts qualitative and quantitative insights into prioritized product enhancements and roadmap influence across hardware, firmware, and programs. The position collaborates with engineering, UX, and hardware teams while overseeing metrics, governance, and stakeholder alignment to raise customer satisfaction.
Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.
Rate: $58.00 to $68.00/hr. w2
Responsibilities- Synthesize insights from internal employee and external user feedback by combining qualitative sentiment and verbatim input with quantitative metrics such as trends, NPS/CSAT, and engagement data.
- Translate feedback into prioritized, data-backed product improvements and roadmap recommendations across hardware, firmware, and internal programs.
- Define, track, and report success metrics including sentiment trends, issue resolution velocity, feedback loop closure, adoption metrics, and reduction in recurring complaints.
- Lead competitor comparison documentation across ISP, FWA, and third-party WiFi hardware and advanced feature offerings.
- Manage proactive social media engagement related to WiFi 7 by partnering with social, media, and customer success teams to address public feedback, elevate critical issues, and mitigate reputational risk.
- Partner with engineering, firmware, UX, and hardware teams to define requirements, write user stories and epics, and ensure validated feedback drives releases, fixes, and capabilities.
- Facilitate cross-functional alignment through regular insight-sharing sessions, roadmap reviews, and stakeholder working groups.
- Ensure governance, data privacy, regulatory compliance, and responsible use of device intelligence.
- Maintain partner scorecards and support periodic business reviews.
- 7+ years in Product Management, Partner Management, Program Management, or Technical Account Management.
- Hands-on experience designing and running customer and employee feedback loops and initiating investigations based on trending data.
- Proven experience driving cross-functional programs with Engineering, QA, Operations, Legal, Marketing, and Customer Success.
- Experience with in telecommunications, broadband, or Wi‑Fi domains preferred.
- Experience applying Lean and Agile delivery frameworks in large enterprise environments.
- Strong understanding of Wi‑Fi technologies.
- Data-driven product management skills, including defining KPIs and interpreting telemetry and analytics.
- Experience with Jira, Confluence, SharePoint, Tableau, and social media aggregation tools.
- Familiarity with device telemetry platforms and vendor ecosystems such as Plume/Open Sync or CUJO DI (preferred).
- Knowledge of Agile methodologies including Agile, Scrum, Kanban, SAFe, Scrum at Scale, LeSS, Lean, and Six Sigma.
- Bachelor’s degree in Computer Science, Business, Marketing, Information Systems, Business Administration, or a related field, or equivalent professional experience.
Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (, ) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position.
All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and…
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