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Product Manager, Inventory System

New York City, NY or San Diego, CA or Sunnyvale, CA

ABOUT US

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 CULTURE

  • 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

As the owner of RADAR’s core product—our real-time, RFID-powered inventory intelligence platform—you’ll lead the evolution of a system trusted to manage billions of dollars in merchandise. Your goal: make RADAR the certified system of record for retailers by delivering near-perfect inventory accuracy (~99%), reducing latency, advancing exit detection, and developing analytics that drive smarter planning and merchandising decisions.

You’ll define the API strategy and lead integrations with enterprise systems like Oracle, SAP, and Blue Yonder, ensuring our platform enhances forecasting, allocation, and replenishment processes. You’ll also establish a certification framework to eliminate the need for physical audits, positioning RADAR as the most reliable and intelligent inventory system in retail.

Inventory is at the heart of RADAR’s value. Your work will drive the reliability and intelligence that power new pilots, customer expansions, and long-term renewals—ultimately shaping the future of retail operations.

ABOUT YOU

You thrive in environments where reliability and precision matter—where that final one percent of accuracy can make all the difference, and downtime has real business impact. You balance fast, practical execution with a long-term vision for scalable platforms, working closely with data-driven teams that value experimentation and continuous improvement. You’re naturally curious and passionate about solving complex challenges in retail operations and supply chain management.

Required:

  • You have 6+ years in product management; 2+ years owning enterprise SaaS or mission‑critical
    systems.
  • You have proven improvements to reliability, accuracy, or performance metrics.
  • You have strong technical fluency (APIs, data architecture, algorithm optimization).
  • You have experience collaborating on ML/AI‑driven products.
  • You have the ability to communicate technical complexity to executives and customers.

Preferred:

  • You have retail operations expertise: inventory management, merchandising, planning, or supply
    chain.
  • You have RFID/IoT product experience in asset tracking, warehouse, or logistics.
  • You have enterprise retail software background (ERP, WMS, OMS).
  • You have loss prevention/shrink or audit compliance expertise.
  • You have forecasting/replenishment/optimization domain knowledge.

WHAT YOU'LL DO

In your first 30 days, you will:

  • Master platform architecture, accuracy algorithms, and latency constraints.
  • Assess accuracy, exit detection performance, and technical debt areas.
  • Meet Customer Success/Ops to capture pain points from key customers.
  • Review API ecosystem; identify integration gaps and partnership opportunities.

In your first 60 days, you will:

  • Define a roadmap to achieve ~99% accuracy with clear engineering priorities.
  • Establish KPIs/dashboards for accuracy, latency, exit detection, reliability.
  • Collaborate with data science/engineering to optimize algorithms and reduce false
    positives.
  • Map certification requirements (audit standards, SOX compliance).

In your first 90 days, you will:

  • Ship measurable accuracy improvements toward the 99% threshold.
  • Define a 2026 vision for advanced analytics in planning/merchandising.
  • Build the business case for expansion beyond apparel (grocery, electronics, pharmacy).
  • Strengthen partnerships with engineering, data science, and CX leadership.

At RADAR, your pay is one part of your total compensation package. This role is an exempt position with a salary range of $100,000 - $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.

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