Senior Product Manager - Computer Vision & AI at 365 Retail Markets

Troy, Michigan, United States -

Full Time

Start Date

Immediate

Expiry Date

25 Aug, 26

Salary

0.0

Posted On

27 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Product Management, Computer Vision, Artificial Intelligence, Machine Learning, Generative AI, LLMs, Product Roadmap Strategy, Cross-functional Leadership, Lifecycle Management, Model Evaluation, Go-to-market Strategy, Analytical Skills, Stakeholder Management, Technical Requirements Specification, Data Science Collaboration, Retail Technology

Industry

Software Development

Description

Description 365 Retail Markets is the most trusted global provider of unattended retail technology, delivering conveniently smart self-service solutions since 2008. The company’s 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. These technologies can be found worldwide in corporate offices, manufacturing and distribution facilities, educational campuses, hotels, and beyond. As a nine-time honoree on the Inc. 5000 list of fastest-growing companies in the United States, and with a continually expanding global presence, 365 Retail Markets is committed to growth, innovation, and providing superior, integrated technology that meets the evolving needs of its customers and consumers. The retail industry is rapidly evolving, with Computer Vision (CV) and Artificial Intelligence (AI) reshaping consumer experiences while improving operational efficiency and margins. As Senior Product Manager for our CV + AI portfolio, you will own the strategy, roadmap, and delivery of AI-enabled products that power next-generation frictionless retail experiences. You will be accountable for defining and executing both short-term, tactical initiatives and long-term platform strategy, ensuring alignment with 365’s broader business objectives. This role requires strong cross-functional leadership, deep product thinking, and the ability to communicate complex technical concepts clearly to executive stakeholders. This position reports to the Manager, Product Management and has high visibility across executive leadership and all 365 brands. Responsibilities Own and evolve the AI and Computer Vision product roadmap, setting a clear long-term platform vision while balancing near-term delivery priorities aligned to business objectives, customer needs, and industry trends. Deliver features and enhancements on time and to plan, owning 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. Work 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 solutions perform reliably in real-world retail environments, including 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 competitive landscape and emerging AI trends to maintain 365’s innovation leadership. Communicate product vision, trade-offs, and progress clearly to executive leadership to drive 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. MBA preferred. 5-8+ years 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. Specifying requirements, execution and evaluation of designs, analysis, development, testing and control of major engineering projects where creativity and initiative are involved as well as 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. 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 Added bonus for experience working within Retail, payments, or POS industries

Responsibilities

Own the strategy, roadmap, and delivery of AI and Computer Vision products to enable frictionless retail experiences. Collaborate cross-functionally to translate ML capabilities into scalable features and oversee model deployment in real-world environments.