365id

Senior Product Manager – Computer Vision, AI

365id

full-time

Posted on:

Location Type: Hybrid

Location: Troy • Missouri • United States

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Job Level

Senior

About the role

  • 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.
Benefits
  • WFH Flexible 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score
Applicant Tracking System Keywords

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Hard Skills & Tools
machine learningcomputer visiongenerative AILLMsproduct lifecycle managementmodel developmentmodel trainingmodel deploymentdata integritybias mitigation
Soft Skills
cross-functional collaborationanalytical skillsorganizational skillsprioritization skillspresentation skillsstorytelling skillscommunication skillsindependent judgmentadaptabilityteam collaboration
Certifications
Bachelor's degree in computer sciencesBachelor's degree in software engineeringMBA