Product Manager - Video/Sensors

Who We Are...

Senstar is a global leader and innovator in security solutions. We help organizations safeguard their most valuable assets with world-class technology and an unrelenting focus on quality, reliability and innovation.

We Are in Search Of…

A Product Manager to own the next generation of multi-sensor detection products as they evolve. Reporting to the VP of Product Management & Marketing, you will drive products from concept to launch, blending hands-on hardware expertise with video software integration, radar/sensor fusion, and edge AI analytics.

What You’ll Do…

Key Responsibilities

Product Ownership

Define vision, strategy and roadmap for your product(s); own positioning against competing radar-camera and AI camera solutions.

Hardware Excellence

Specify requirements for sensors, optics, radar modules, SoCs and thermal/EMC constraints; balance performance, cost and manufacturability.

Sensor Fusion & Edge AI

Guide integration of radar detection, encoded video pipelines, on-device AI classification, and fusion logic to maximize detection while minimizing nuisance alarms.

Lifecycle Management

Lead market research, requirements, competitive teardown, business case, and launch at key trade shows (GSX, ISC West).

Prioritization

Write detailed PRDs, user stories and validation plans; manage priorities and trade-offs with R&D.

Customer Validation

Run field trials with integrators and end-users at critical infrastructure sites; gather feedback and iterate hardware/firmware revisions.

Sales Enablement

Deliver datasheets, launch decks, battle cards and demo kits to arm Sales, Marketing, and distribution partners.

Performance Monitoring

Track yield, MTBF, in-field returns, detection performance (PoD/NAR), and feature usage; feed insights into continuous improvement.

What You Bring…

Mandatory:

• 5+ years product management of CCTV/video-surveillance or physical security devices, especially radar-camera hybrids, perimeter sensors, or multi-technology detection systems.
• Proven end-to-end ownership of at least one camera, NVR, encoder, radar, or similar hardware product through full lifecycle.
• Experience in perimeter intrusion detection, outdoor security, or critical infrastructure protection.
• Experience working with integrators, distributors, and indirect sales channels.

Technical Knowledge:

• Deep knowledge of imaging sensors, video pipelines, RTSP/ONVIF.
• Understanding of radar detection principles, coverage patterns, and RF interference considerations.
• Exposure to edge AI frameworks and hardware accelerators.
• Strong understanding of BOM cost control, DFM, compliance (FCC/CE, international RF spectrum regulations), and supply-chain realities.

Skills & Competencies:

• PM skills: customer discovery, requirements, prioritization, prototyping, launch.
• Clear, concise communicator able to bridge hardware, firmware, software and commercial teams.
• Comfortable presenting at trade shows and conducting customer-facing validation interviews.

Education & Location:

• Degree in Electrical/Computer Engineering or similar; MBA a plus.
• Based in the UK (London preferably) or Germany (Frankfurt or Munich preferably).

Nice to Have:

• Experience with product launches at major security trade shows (ISC West, GSX).
• Background in thermal imaging, LiDAR, or multi-spectral detection.
• Familiarity with VMS integration (Milestone, Genetec) and physical security ecosystem.
• Familiarity with Node-RED.

What We Offer…

Industry-leading tech • Collaborative, innovative culture • Career growth • Global exposure • Hybrid work model • Competitive comp & benefits • Inclusive environment.

Inclusion & Accessibility

At Senstar, we are committed to fostering an inclusive, accessible workplace that values a wide range of backgrounds, perspectives, and skills. We believe that diversity and inclusion make us stronger, more innovative, and more competitive. If you require an accommodation at any stage of the recruitment or hiring process, please let us know.

AI

We may use technology, including AI-based tools, to support our recruitment process (for example, to compare applications against job requirements or to summarize interview notes). All hiring decisions are made by our hiring teams, not by automated systems.