Senior Product Manager - Computer Vision & AI

365 Retail Markets is the most trusted global provider of unattended retail technology, delivering smart self-service solutions since 2008. Their all-in-one platform powers retail spaces across food service, global retail, and hospitality with a comprehensive suite of frictionless smart stores, micro markets, vending, catering, and dining point-of-sale options. A nine-time honoree on the Inc. 5000 list, 365 Retail Markets is committed to growth, innovation, and providing superior, integrated technology.

Introduction

365 Retail Markets is a leading global provider of unattended retail technology, offering smart self-service solutions since 2008. Their platform powers retail spaces in various sectors with frictionless smart stores, micro markets, vending, catering, and dining point-of-sale options. As a Senior Product Manager for their Computer Vision (CV) and Artificial Intelligence (AI) portfolio, you will be instrumental in defining the strategy, roadmap, and delivery of AI-enabled products that drive next-generation frictionless retail experiences.

Responsibilities

• Own and evolve the AI and Computer Vision product roadmap, establishing a clear long-term platform vision while balancing near-term delivery priorities aligned with business objectives, customer needs, and industry trends.
• Deliver features and enhancements on time and to plan, managing the full lifecycle from ideation, discovery, and requirements through launch and post-release evaluation.
• Translate machine learning, computer vision, and generative AI (including LLMs) capabilities into scalable, user-centric product features.
• Partner cross-functionally with Engineering, Data Science, Design, Marketing, Sales, and Operations to ensure successful execution and adoption.
• Collaborate closely with other Senior Product Managers to ensure a consistent, seamless, and effective consumer experience across product lines.
• Identify and evaluate high-impact AI use cases through a deep understanding of business context, data availability, and technical feasibility.
• Oversee model development, training, deployment, and iteration to ensure reliable performance in real-world retail environments, addressing edge deployment constraints (latency, compute, bandwidth), lighting variability, occlusion, and ongoing product packaging changes.
• Collaborate with data and engineering teams to ensure responsible AI practices, including bias mitigation, data integrity, and model interpretability.
• Monitor the competitive landscape and emerging AI trends to maintain 365 Retail Markets' innovation leadership.
• Communicate product vision, trade-offs, and progress clearly to executive leadership for fast alignment and informed decision-making.
• Own go-to-market readiness and pilot execution, ensuring customer readiness, coordinating launch plans, and enabling internal teams (Support, Sales, Operations) through training, documentation, and clear launch handoff.

Requirements

• Bachelor's degree (B.S.) in computer sciences or software engineering.
• 5-8+ years of Product Management experience.
• Proven experience owning complex product portfolios, including both tactical execution and long-term strategic planning, ensuring effective product lifecycle management.
• Experience delivering Machine Learning products in collaboration with Data Science and ML Engineering teams, including experimentation, model evaluation, and continuous performance optimization.
• Ability to specify requirements, execute and evaluate designs, analyze, develop, test, and control major engineering projects, demonstrating creativity, initiative, and a high level of independent judgment.
• Comfortable operating in ambiguous, evolving environments, shaping clarity and direction in new or undefined problem spaces.
• Strong experience working cross-functionally, managing dependencies, and communicating priorities to ensure roadmap alignment and delivery.
• Exceptional analytical, organizational, and prioritization skills with the ability to manage competing initiatives.
• Excellent presentation and storytelling skills, with a strong emphasis on communicating to executive-level audiences for rapid alignment and decision-making.
• Ability to work collaboratively as part of a broader product leadership team, prioritizing shared outcomes over individual ownership to ensure overall portfolio success.
• Demonstrated ability to work effectively with technical and operational stakeholders across CV retail products, including hardware, field operations, support, and customer-facing teams.

Nice to Have

• MBA preferred.
• Experience working within Retail, payments, or POS industries.