Senior Product Manager / Machine Learning
Motion Recruitment
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Los Angeles, CA
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Not Applicable
Posted April 5, 2026
Job link
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Responsibilities
Commitments
Responsibilities
- Engage directly with enterprise customers and frontline operators to validate direction, gather feedback, and drive adoption
- Continuously evaluate emerging AI/ML technologies to inform roadmap and product differentiation
- 20% Cross-Functional Collaboration (Engineering, Customers, GTM)
- 45% Product definition, roadmap execution, and backlog ownership
- 30% Cross-functional collaboration with Engineering and stakeholders
- 15% Metrics review, experimentation, and iteration on AI performance
- 10% Customer engagement, feedback synthesis, and adoption enablement
Commitments
15% Reliability, Trust, Explainability & Operational Readiness
Paid time off
401(k)
Equity
Applicants must be currently authorized to work in the United States on a full-time basis now and in the future.
Posted By: Paul Kim
Not Met Priorities
What still needs stronger evidence
Requirements
- 6+ years of Product Management experience
- Proven track record of launching AI products with measurable customer and business impact
- Strong technical depth, including hands-on exposure to:
- Computer vision, generative AI, NLP, or anomaly detection
- Experience translating ambiguous customer problems into clear product requirements and technical specifications
- Strong analytical and data-driven decision-making skills What You Will Be Doing
- Own product strategy, vision, and roadmap for an AI-driven operator product portfolio
- Lead end-to-end AI product development from discovery through launch and iteration using Agile methodologies
- Engage directly with enterprise customers and frontline operators to validate direction, gather feedback, and drive adoption
- Define success metrics and KPIs to measure AI efficacy, utilization, and business impact
- Product Focus Breakdown
- 45% Product definition, roadmap execution, and backlog ownership
- 30% Cross-functional collaboration with Engineering and stakeholders
- 15% Metrics review, experimentation, and iteration on AI performance
- 10% Customer engagement, feedback synthesis, and adoption enablement
- Background in computer vision, video analytics, or real-time AI systems
Preferred Skills
- Startup experience, particularly in early-stage or growth-stage environments
- Background in computer vision, video analytics, or real-time AI systems
- Knowledge of edge AI, distributed systems, or event-driven architectures
Job Description
We are hiring a full-time Senior AI Product Manager to own and scale an AI-powered product suite within a mission-critical, enterprise physical security environment. You’ll define product strategy, translate frontline operational workflows into AI-driven solutions, and partner closely with Engineering, customers, and internal stakeholders to ensure AI products are reliable, explainable, and trusted.
Required Skills & Experience
6+ years of Product Management experience
Proven track record of launching AI products with measurable customer and business impact
Strong technical depth, including hands-on exposure to:
Computer vision, generative AI, NLP, or anomaly detection
Experience translating ambiguous customer problems into clear product requirements and technical specifications
Strong analytical and data-driven decision-making skills What You Will Be Doing
Own product strategy, vision, and roadmap for an AI-driven operator product portfolio
Lead end-to-end AI product development from discovery through launch and iteration using Agile methodologies
Engage directly with enterprise customers and frontline operators to validate direction, gather feedback, and drive adoption
Define success metrics and KPIs to measure AI efficacy, utilization, and business impact
Continuously evaluate emerging AI/ML technologies to inform roadmap and product differentiation
Product Focus Breakdown
35% Product Strategy, Vision & Discovery
30% AI Feature Development & Model-Driven Capabilities
20% Cross-Functional Collaboration (Engineering, Customers, GTM)
15% Reliability, Trust, Explainability & Operational Readiness
Daily Responsibilities
45% Product definition, roadmap execution, and backlog ownership
30% Cross-functional collaboration with Engineering and stakeholders
15% Metrics review, experimentation, and iteration on AI performance
10% Customer engagement, feedback synthesis, and adoption enablement
Preferred Qualifications
Startup experience, particularly in early-stage or growth-stage environments
Background in computer vision, video analytics, or real-time AI systems
Knowledge of edge AI, distributed systems, or event-driven architectures
The Offer
You will receive a competitive compensation and benefits package, including:
Comprehensive medical, dental, and vision coverage
Paid time off
401(k)
Equity
Applicants must be currently authorized to work in the United States on a full-time basis now and in the future.
Posted By: Paul Kim
We are hiring a full-time Senior AI Product Manager to own and scale an AI-powered product suite within a mission-critical, enterprise physical security environment. You’ll define product strategy, translate frontline operational workflows into AI-driven solutions, and partner closely with Engineering, customers, and internal stakeholders to ensure AI products are reliable, explainable, and trusted.
Required Skills & Experience
6+ years of Product Management experience
Proven track record of launching AI products with measurable customer and business impact
Strong technical depth, including hands-on exposure to:
Computer vision, generative AI, NLP, or anomaly detection
Experience translating ambiguous customer problems into clear product requirements and technical specifications
Strong analytical and data-driven decision-making skills What You Will Be Doing
Own product strategy, vision, and roadmap for an AI-driven operator product portfolio
Lead end-to-end AI product development from discovery through launch and iteration using Agile methodologies
Engage directly with enterprise customers and frontline operators to validate direction, gather feedback, and drive adoption
Define success metrics and KPIs to measure AI efficacy, utilization, and business impact
Continuously evaluate emerging AI/ML technologies to inform roadmap and product differentiation
Product Focus Breakdown
35% Product Strategy, Vision & Discovery
30% AI Feature Development & Model-Driven Capabilities
20% Cross-Functional Collaboration (Engineering, Customers, GTM)
15% Reliability, Trust, Explainability & Operational Readiness
Daily Responsibilities
45% Product definition, roadmap execution, and backlog ownership
30% Cross-functional collaboration with Engineering and stakeholders
15% Metrics review, experimentation, and iteration on AI performance
10% Customer engagement, feedback synthesis, and adoption enablement
Preferred Qualifications
Startup experience, particularly in early-stage or growth-stage environments
Background in computer vision, video analytics, or real-time AI systems
Knowledge of edge AI, distributed systems, or event-driven architectures
The Offer
You will receive a competitive compensation and benefits package, including:
Comprehensive medical, dental, and vision coverage
Paid time off
401(k)
Equity
Applicants must be currently authorized to work in the United States on a full-time basis now and in the future.
Posted By: Paul Kim