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Product Manager

Job in Raleigh, Wake County, North Carolina, 27601, USA
Listing for: Evlo AI
Full Time position
Listed on 2026-08-22
Job specializations:
  • IT/Tech
    Business Systems & Technology Analysis
Salary/Wage Range or Industry Benchmark: 90000 - 130000 USD Yearly USD 90000.00 130000.00 YEAR
Job Description & How to Apply Below

About

The Role

The role owns the end-to-end product lifecycle for core technical platforms—defining strategic roadmaps, prioritizing features, and translating complex technical requirements into scalable solutions.

The product manager works closely with engineering leads, data scientists, and enterprise clients to bridge business objectives with robust software architecture, ensuring high-velocity and high-impact delivery.

Key Responsibilities
  • Define and articulate the product vision, strategy, and roadmap for technical infrastructure and core applications
  • Translate complex user requirements and business goals into detailed PRDs, user stories, and acceptance criteria
  • Collaborate daily with engineering squads using agile methodologies to manage sprints, backlog grooming, and release planning
  • Partner with data analytics teams to define KPIs, track product usage metrics, and drive data-informed iteration
  • Conduct thorough market and competitor research to identify emerging technology trends and client pain points
  • Manage stakeholder expectations and communicate product updates across executive leadership, engineering, and customer success
What We Are Looking For
  • 3–6 years of product management experience shipping technical products or developer-facing platforms
  • Demonstrated ability to write clear PRDs, define technical requirements, and work hands-on with engineering teams
  • Strong analytical skills with proficiency in SQL, Amplitude, Mixpanel, or similar product analytics tools
  • Solid understanding of modern software development life cycles, cloud architecture, and API design
  • Bachelor's degree in Computer Science, Engineering, Business, or a related quantitative field
  • Bonus:
    Experience with machine learning systems, enterprise SaaS pricing models, or technical background as a former software engineer
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