Senior Product Manager - Safety AI

1 month ago
Full-time
Senior
Artificial Intelligence and Machine Learning
Samsara

Samsara

Samsara pioneers the Connected Operations Cloud, offering AI safety programs, real-time visibility, and integrations for industries to enhance efficiency, safety, and sustainability globally.

IT Services
1K-5K
Founded 2015

Description

  • Define and own the end-to-end product strategy for a major new area within Video-based Safety, acting as the entrepreneurial owner of the product line.
  • Own the product vision, roadmap, and execution, prioritizing work that drives measurable safety outcomes.
  • Lead the full development cycle of real-time AI/ML models, including ideation, data strategy, model deployment, and iteration on connected devices at scale.
  • Identify, design, and take innovative safety solutions to market in collaboration with Design, Engineering, and Go-to-Market teams.
  • Collaborate cross-functionally to unblock complex technical challenges and ensure successful delivery of ML/CV-driven features.
  • Develop and maintain a bold, long-term product vision while engaging in execution details as needed.
  • Define success metrics and KPIs for ML-driven products and use data to measure model efficacy and business impact.
  • Champion and embed Samsara’s cultural principles across the team as the organization scales globally.
  • Present product strategy and results to customers and senior executive leadership as needed.

Requirements

  • 7+ years of progressive product management experience with a history of launching and scaling technically complex products.
  • Prior experience shipping features that rely heavily on Machine Learning, Computer Vision, or large-scale IoT data processing.
  • Strong technical acumen with the ability to engage in technical trade-off discussions about model architecture, training, and deployment.
  • Hands-on, bias-to-action approach with experience delivering tangible business outcomes in a fast-paced, high-growth environment.
  • Excellent communication skills and comfort 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 product roadmaps for hardware/software integrated systems or SaaS products that manage physical assets (preferred).
  • Deep understanding of data quality, labeling pipelines, and MLOps best practices in production (preferred).
  • Proven ability to define KPIs for ML-driven products and use data science to measure model efficacy and business impact (preferred).

Benefits

  • Competitive total compensation package for full-time employees.
  • Employee-led remote and flexible working arrangements, with offices available for in-person collaboration.
  • Health benefits for full-time employees.
  • Flexible working model supporting on-site, hybrid, or fully remote work where operationally appropriate.
  • Inclusive work environment with accommodations for applicants and employees with disabilities.

Interested in this position?

Apply directly on the company website

Apply Now

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