At RADAR, we're transforming the way the world thinks about physical retail. RADAR has raised over $104M from top investors, retailers, and strategics and works with some of the world's retail brands including American Eagle and Gap. We’re building the future of in-store experience where every product and every person can be precisely located in real time.
Our platform combines RFID and AI to unlock hyper-accurate product visibility and automation at scale. From real-time inventory tracking to seamless checkout experiences, our technology empowers some of the world’s largest retailers to streamline operations, reduce loss, and elevate both employee and customer experiences.
We’re a fast-growing, mission-driven startup where bold ideas, collaboration, and impact are at the core of everything we do. Join us as we reshape the physical world with digital precision, starting with retail and expanding far beyond!
OUR VALUES
Mission-Driven : We're transforming retail with cutting-edge technology and building something that truly matters.
Collaborative Team : We thrive on curiosity, shared goals, and solving complex problems together.
High Impact : You’ll make meaningful contributions from day one and help shape the future of our product and company.
Clear Communication : We value honesty, humility, and respectful dialogue—everyone’s voice matters.
Balanced Lives : We work hard, but not at the expense of well-being. We respect time, boundaries, and life outside of work.
Diverse Perspectives : We believe better ideas come from diverse backgrounds, experiences, and viewpoints.
Empathy-Driven Design : We build with deep respect for our end users, listening closely to their feedback and needs.
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.
Use of artificial intelligence or a LLM such as ChatGPT during the interview process will be grounds for rejection of your application process.
About RADAR
RADAR is building technology to completely transform the in-store experience for retail employees and customers alike.
