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.

What you'll do

• 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 translate 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. Mentors junior product managers to ensure strong execution.
• Platform / Solution Alignment: Ensures that 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 their 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 their product area; partners with Engineering, QA, and Operations to support reliable delivery and continuous improvement.
• User Experience: Oversees major UX research projects and standards within [insert 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 their product area; contributes recommendations to broader product planning.
• Documentation & Communication: Reviews strategic product communications and documentation; prepare product requirements, roadmap updates, and stakeholder communications for the data intelligence space in order to clearly articulate strategy, capabilities, and impact.

Collaborating With
• Engineering teams responsible for data pipelines, platform infrastructure, and system architecture
• Data Science and Machine Learning teams developing models and algorithms that power insights
• Product Management team across solutions to align on use cases, value delivery, and roadmap priorities
• Customer Success and Operations teams supporting enterprise client deployments
• UX/UI teams to define intuitive, insight driven user experiences
• Program Management, DevOps, and QA teams to ensure delivery excellence and release quality
• Executive leadership for strategy alignment and roadmap prioritization
• Retail customers and partners for feedback, validation and co-innovation

Profile and Skills

• 5+ years experience in a Product Management role in a global, product led, customer focused environment
• Strategic thinking, advanced analytics, influencing, negotiation, execution focus
• Product Management Experience: Advanced experience in product management, including cross-functional project leadership and ownership of a significant product area, feature set, or capability.
• Technical Background: Deep understanding of product architecture and technical trade-offs; comfortable working with engineering teams, data flows, and system dependencies oncomplex initiatives.
• Track Record of Success: Drives successful launches and measurable product growth or meaningful business impact within a defined product area.
• Customer Engagement: Manages relationships with enterprise customers, gathers strategic feedback and uses those insights to improve product direction and outcomes.
• Analytical and Problem-Solving Skills: Uses advanced analytics to inform strategy and resolve challenges; defines and tracks product metrics to support prioritization and decision-making.
• Adaptability and Agility: Excels in fast-paced, changing environments.
• Problem Solving and Decision Making: Distills complex problems into actionable proposals and evaluates customer, business, and technical trade-offs within their area of ownership.
• Continuous Learning: Guides technical conversations and alignment across teams; continuously builds expertise in product, market, and domain trends.
• Business knowledge: Analyzes complex market and business data, identifies opportunities, and makes informed product decisions that drive organizational impact within their product area and contribute to wider business goals.
• Remote Work and Travel: Coordinates remote teams, travels to key customers or events as needed.