Product Manager, Retail Experience & Platform

ABOUT THE JOB

This role owns one of RADAR's core product domains: either the platform layer that enables retailers to deploy and integrate RADAR's sensing infrastructure, or the shopper-facing product surface that translates real-time inventory data into in-store conversion outcomes. The scope spans technical platform work (APIs, data contracts, system reliability, retailer onboarding tooling) and applied ML features (behavioral inference, event detection, real-time classification).

The work is cross-functional by nature. It requires enough technical depth to have credible conversations about data pipelines, model behavior, and integration architecture, and enough operational grounding to work effectively with the teams responsible for deploying proprietary hardware into live retail environments.

Responsibilities:

• Platform & Integration
  • Own the roadmap for the platform layer that sits between RADAR's proprietary sensing infrastructure and the retailer's existing technology stack, including APIs, event streaming, tag lifecycle management (commission through decommission), zone configuration, and system health observability
  • Define the integration model for third-party hardware that supports program enablement: RFID printers, POS systems, and peripheral devices that feed or depend on RADAR's sensing data    
  • Ensure the platform is designed for sensing modality extensibility beyond RFID; as next-generation hardware introduces additional sensing inputs, the platform's data model and integration contracts need to accommodate them without requiring retailers to re-integrate
  • Own retailer onboarding as a product problem: reduce time-to-go-live by improving self-serve configuration tooling, simplifying the integration surface, and reducing the custom engineering work required for each new deployment
  • Define API standards and data contracts that downstream retailer systems (WMS, OMS, ERP, POS) can build against reliably, and manage versioning and deprecation in a way that doesn't break active integrations
  • Drive platform reliability from a product perspective, defining uptime expectations, degraded-mode behavior, alerting standards, and the accountability model for incidents that affect live retail environments
• Shopper Experience & Conversion
  • Own the roadmap for product capabilities that use RADAR's real-time inventory and sensing data to improve the in-store shopper experience, including self-checkout enablement, frictionless returns, fitting room workflows, and in-store shopper analytics
  • Define the product layer that connects RADAR's sensing data to shopper-facing activation channels: POS integration, retailer mobile apps, clienteling tools, and retargeting infrastructure
  • Drive the shopper analytics product, defining what behavioral signals RADAR's platform can surface (dwell, zone traffic, conversion patterns) and how retailers can act on them through existing CRM, marketing, and operations systems
  • Own requirements for ML-driven detection features (motion classification, exit event detection, shopper behavior inference), including evaluation criteria, accuracy thresholds, edge case handling, and the retailer-facing data format
  • Define success metrics that bridge the physical sensing layer to measurable shopper outcomes: conversion rate, return rate, shrink reduction, and experience-level KPIs that retailers can attribute to RADAR's capabilities
  • Manage the tradeoff between ML inference quality, latency constraints, and the configuration flexibility retailers need to deploy these features across varied store formats
• Cross-Functional Partnership
  • Partner daily with engineering on scope, sequencing, and technical tradeoffs; this role requires genuine technical fluency, not just facilitation
  • Work with data science to translate ML model outputs into production-ready product features, including threshold calibration, explainability requirements, and edge case handling
  • Coordinate with Customer Experience and Deployment Operations on retailer onboarding timelines, integration requirements, and escalated platform issues that have product implications
  • Work with Store Planning on deployment sequencing, hardware installation constraints, and the downstream effects of physical infrastructure on software product timelines
  • Collaborate with commercial teams to ensure roadmap sequencing supports active retailer commitments and near-term pipeline
  • Produce clear written artifacts (specs, decision memos, tradeoff analyses) 

ABOUT YOU

Required:

• 10+ years of overall professional experience, with 5+ years in a product management role
• Demonstrated ownership of a technical B2B product, with platform, API, or integration scope preferred
• Experience taking data-driven or ML-adjacent features from problem definition to production, including defining evaluation criteria and managing model feedback cycles
• Ability to evaluate technical tradeoffs and have substantive conversations with engineering about system design, data contracts, and infrastructure constraints
• Strong written communication; produces clear, self-contained specs and decision documents
• Track record of operating independently across multiple concurrent workstreams

Preferred:

• Experience in retail technology, supply chain, or domains where physical-world sensor data feeds digital systems
• Familiarity with RFID, IoT, or hardware-adjacent sensing platforms
• Experience working alongside hardware engineering teams on next-generation sensor or device products, contributing to product definition, requirements scoping, and roadmap coordination across firmware and physical hardware disciplines
• Prior work on integration or middleware products serving enterprise customers with heterogeneous tech stacks
• Experience defining product metrics in environments where attribution across physical and digital channels is complex
• Comfort operating in environments where software delivery depends on physical deployment timelines and field operations constraints

WHAT YOU'LL DO

In your first 30 days, you will:

• Build a working understanding of RADAR's platform architecture, active retailer programs, and the current state of initiatives across the domain
• Meet and establish working relationships with your primary counterparts across engineering, data science, Customer Experience, and Deployment Operations
• Orient yourself to the existing roadmap, open decisions, and known gaps without yet trying to change direction

In your first 60 days, you will:

• Have a clear point of view on the highest-leverage opportunities and gaps in the domain, with supporting rationale
• Be actively contributing to roadmap planning and sprint-level decisions alongside engineering
• Have identified the metrics and reporting gaps that limit the team's ability to track progress, and have a plan to address them

In your first 90 days, you will:

• Own a domain roadmap that is sequenced, defensible, and aligned with engineering capacity and retailer commitments
• Have at least one initiative meaningfully advanced as a result of your direct involvement
• Be operating as a trusted counterpart to engineering, solutions, and commercial stakeholders, with no significant context gaps remaining

At RADAR, your base pay is one part of your total compensation package. The expected base salary range for this position is $140,000-$200,000. Individual pay is determined by work location and additional factors,  including job-related skills, experience and relevant education or training.You will also be eligible to receive other benefits including: equity, comprehensive medical and dental coverage, life and disability benefits, 401k plan,  flexible time off, and paid parental leave. The pay range listed for this position is a good faith and reasonable estimate of the range of possible base compensation at the time of posting. 

Research has shown that women & underrepresented minorities are more likely to read lists of requirements and consider themselves unqualified if they don't meet every single one. This list represents what we're ideally looking for, but everyone has unique strengths & weaknesses, and we hire for strength & potential, not lack of weakness.