Explicitly requires vibe coding skills — ability to rapidly stand up AI-generated prototypes and iterate.
About the Role
Senior Product Manager for Motorola Solutions’ cloud-based Video Management System (VMS). Own a product area end-to-end—run continuous discovery, define outcomes, ship AI-enabled video features across cloud and on-premise deployments, and measure impact working closely with engineering, design, and customers.
Job Description
Role
Senior Product Manager on the cloud-based Video Management System (VMS) team reporting to the Director of Product Management for Cloud Video Security. The role is hands-on and empowered: own a product area, run discovery, define outcomes, drive the roadmap, ship product, and measure results.
Key Responsibilities
- Own a product area within the VMS platform: define outcomes, run discovery, and partner closely with engineering to deliver the roadmap.
- Run continuous discovery: conduct customer interviews, observe workflows, analyze usage data, and synthesize findings into problem statements and opportunity assessments.
- Ship product iteratively: write product specs, make scope trade-offs, guide design and engineering, and ensure delivered solutions solve the intended problems.
- Measure impact: define success metrics, instrument the product, use data to validate hypotheses, and demonstrate business impact.
- Contribute to AI-native strategy: help define integration of AI and analytics capabilities into the video platform to enable intelligent security workflows.
- Collaborate cross-functionally with Sales, Support, Marketing, and partners to enable successful launches and feedback loops.
- Maintain market awareness: monitor competitors, industry trends, and customer needs to inform positioning and product decisions.
Requirements
- Previous product management experience in SaaS, cloud platforms, or enterprise software.
- Experience with video surveillance or video analytics strongly preferred.
- Demonstrated ability to run customer discovery and translate findings into product decisions.
- Comfort working directly with engineering teams and engaging in technical discussions about architecture and trade-offs.
- Experience defining and tracking product metrics and using data to drive prioritization.
- Strong written and verbal communication, able to articulate product strategy to technical and non-technical audiences.
- A bias toward action and experience shipping product iteratively.
Preferred / Differentiators
- AI fascination and hands-on experience with rapid AI-generated prototyping (“vibe coding”) to iterate on concepts quickly.
- Prior experience integrating AI/ML or analytics into products (e.g., intelligent video, predictive insights, automation) with measurable impact.
- Domain knowledge in physical security, installers/integrators, and end-user workflows across verticals like retail, education, or healthcare.
- Experience with cloud + on-premise hybrid products or migration strategies from legacy to cloud architectures.
- Multi-sided ecosystem experience serving partners, installers, integrators, and end-users.
- Technical background (CS, engineering, or similar) enabling deep collaboration on system design, APIs, and platform architecture.
Logistics
- Relocation: not provided.
- Position type: Experienced.
Skills
Product Management Continuous Discovery Customer Interviews User Research Roadmapping Prioritization Metrics and Analytics Data-driven decision making Technical Communication Cross-functional Collaboration Stakeholder Management Iterative Shipping Rapid Prototyping AI Product Integration System Design Ecosystem Thinking
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