Product Manager - Computer Vision

Job Description

Insight Global is looking for a is looking for a Product Manager who can bridge emerging technology and customer experience, translating RFID and computer vision capabilities into a seamless, consumer-facing product. This is a zero-to-one new product to explore. The ideal candidates have experience building and launching new ML and CV products. This project is technical, and a collection of edge case failures we need to solve for the member.

Candidates should have experience with machine learning models with some proven outcomes delivering on those types of products (less interested in large language model/ChatGPT/chat bot types of products).

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.

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• 5+ Years in product management

• Product Management experience driving end-to-end product delivery

• Strong ability to define requirements, prioritize work, and own product vision

• Experience with consumer-facing mobile products or digital customer experiences

• Proven ability to work cross-functionally with Engineering, UX/Design, and Research teams

• Strong communication and stakeholder management skills

• Outcome-oriented mindset with experience tying initiatives to KPIs and business goals Exposure to RFID, Computer Vision, IoT, sensor-based technologies, or similar systems

Ability to understand technical constraints and translate them into product decisions

Experience working with products that blend physical and digital experiences

Familiarity with latency, accuracy, signal processing, or data-driven user experiences

Retail technology (highly preferred)

Scan & Go, self-checkout, computer vision, or RFID-enabled experiences

Any product that blends physical actions with a digital experience