Product Manager, Retail Experience & Platform

RADAR•New York, NY

8d•$140,000 - $200,000

About The Position

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.

Requirements

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

Nice To Haves

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

Responsibilities

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
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
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)