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Senior Product Manager - Safety AI

Samsara
London, United Kingdom
Full Time
Posted October 17, 2025
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Job Description

A Senior Product Manager role focused on leading the development and strategy of AI-powered safety features within Samsara's Video-based Safety platform, leveraging large-scale IoT and computer vision data to improve industrial safety outcomes.

Key Responsibilities

  • Define and own the product strategy for a new area within Video-based Safety.
  • Lead the development and deployment of real-time AI/ML models at scale.
  • Identify, design, and bring to market innovative safety solutions.
  • Develop and maintain a long-term product vision while addressing technical challenges.
  • Collaborate with cross-functional teams including Design, Engineering, and Go-to-Market.
  • Establish key performance indicators and measure model efficacy and business impact.

Requirements

  • 7 years of progressive product management experience with a visible history of successfully launching and scaling technically complex products.
  • Prior experience shipping features that rely heavily on Machine Learning, Computer Vision (CV), or large-scale IoT data processing.
  • Strong technical acumen that enables you to establish immediate credibility with engineers comfortable engaging in technical trade-off discussions regarding model architecture, training, and deployment.
  • A bias-to-action and hands-on experience delivering tangible business outcomes in a fast-paced, high-growth environment.
  • Excellent communication skills, comfortable and effective presenting strategy and results to customers and senior executive leadership.
  • Undergraduate or graduate degree (MS, PhD, or MBA) in Computer Science, Engineering, or a related technical field.
  • Experience defining the product roadmap for hardware-software integrated systems or SaaS products that manage physical assets.
  • A deep understanding of data quality, labeling pipelines, and MLOps best practices in a production environment.
  • Proven ability to define key performance indicators (KPIs) for ML-driven products and use data science to measure model efficacy and business impact.

Benefits & Perks

Competitive total compensation package
Employee-led remote and flexible working
Health benefits
Inclusive work environment with accommodations for persons with disabilities
Flexible working model supporting in-person, hybrid, or fully remote work

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