Product Manager III – Data Intelligence

Everseen: A leader in vision AI solutions for the world’s leading retailers.

As a Product Manager III - Data Intelligence, you will own and shape Everseen’s data and analytics capabilities across the platform. This role sits at the heart of how we translate Computer Vision AI signals into actionable insights and measurable business outcomes for global retailers.

You will be the driving force behind the insights layer that powers our enterprise-scale computer vision architecture—defining how data is collected, structured, analyzed, and surfaced to drive decision‑making, from real‑time store interventions to executive-level visibility.

This is a highly strategic role with direct impact on how we demonstrate value, scale our platform, and differentiate in the market. You will lead the strategy, development, and optimization of analytics capabilities that provide deep visibility into operational performance, system behavior, and real-world outcomes.

Operating in a cross‑functional environment spanning Product, Engineering, AI/ML, Data, Customer Success, and Sales teams, you will translate complex technical data into clear, actionable intelligence. The role requires strong product thinking combined with deep comfort in data, analytics, and platform architecture.

This is an opportunity to build a foundational layer of the Everseen platform—turning high‑volume, real‑time signals into intelligence that drives measurable ROI and shapes the next generation of data‑driven capabilities across our product ecosystem.

• Product Strategy &
  
  Roadmap:
  
  Owns the vision, strategy and roadmap for Data Intelligence that drives strategic alignment within the space and contributes to longer‑term product direction.
• Use Case Definition:
  Deeply understands the Data Intelligence landscape and translates use cases into scalable product opportunities.
• Requirements Definition:
  Leads business requirements elicitation for complex initiatives; translates customer, operational, and technical needs into clear, scalable product requirements including data definitions, KPIs, and analytical workflows.
• Cross‑Functional Leadership &
  
  Collaboration:
  
  Partners closely with AI/ML, Data Engineering, Platform, UX, and business teams, drives alignment across stakeholders around priorities, outcomes, and execution plans, and mentors junior product managers to ensure strong execution.
• Platform / Solution Alignment:
  Ensures that the data intelligence roadmap aligns with broader platform direction, architecture, and adjacent product experiences across the product roadmap.
• Product Ownership:
  Owns and drives the evolution of POCs, MVPs, dashboards and intelligence layers for data intelligence that transform raw signals into actionable insights and real solutions.
• Customer Value & Insights:
  Engages with customers and internal teams to validate problems, test solutions, and ensure products and analytics directly influence decisions and deliver measurable and timely outcomes.
• Metrics & Impact Measurement:
  Defines and tracks success metrics for the product area, using data to assess adoption, performance, and business impact.
• Data Governance & Quality Assurance:
  Establishes and enforces standards for data accuracy, consistency, reliability, and validation across the data intelligence space; champions quality process improvement initiatives within the product area and partners with Engineering, QA, and Operations to support reliable delivery and continuous improvement.
• User
  
  Experience:
  
  Oversees major UX research projects and standards within the product area; collaborates with UX/UI teams to ensure solutions are intuitive, practical, and aligned with user or operational workflows.
• Research Activity:
  Leads comprehensive competitor and market analysis across products; advises on strategy and evaluates business opportunities within the product area; contributes recommendations to broader product planning.
• Documentation & Communication:
  Reviews strategic product communications and documentation; prepares product requirements, roadmap updates, and stakeholder communications for the data intelligence space to clearly articulate strategy, capabilities, and impact.