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 and roadmap for a major new product area within Video-based Safety, acting as the entrepreneurial owner of the product line.
  • Lead the full development cycle of real-time AI/ML and computer vision models, from ideation and data strategy through model training, deployment, and iteration on connected devices at scale.
  • Identify, design, and take to market innovative safety solutions that drive measurable safety outcomes, coordinating across Design, Engineering, and Go-to-Market teams.
  • Develop a bold, long-term vision for the product area while diving into execution details and unblocking complex technical challenges.
  • Set and track key performance indicators (KPIs) for ML-driven products and use data to measure model efficacy and business impact.
  • Present strategy and results to customers and senior executive leadership and influence cross-functional partners to deliver on product goals.
  • Champion and embed Samsara’s cultural principles as the team scales globally, and mentor or role-model product practices across the organization.

Requirements

  • 7+ years of progressive product management experience with a track record of 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 enabling credibility with engineers and participation in trade-off discussions about model architecture, training, and deployment.
  • Hands-on, bias-to-action approach with experience delivering tangible business outcomes in fast-paced, high-growth environments.
  • Excellent communication skills and experience 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.
  • Preferred: 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 environments.
  • Preferred: proven ability to define KPIs for ML products and use data science to evaluate model performance and business impact.

Benefits

  • Competitive total compensation package for full-time employees.
  • Employee-led remote and flexible working model with hybrid office options where applicable.
  • Health benefits for full-time employees.
  • Opportunities for rapid career development and internal mobility in a high-growth company.
  • Inclusive workplace with accommodations for applicants and employees with disabilities (accessible interviewing and accommodation support).

Interested in this position?

Apply directly on the company website

Apply Now

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