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Software ML Engineering Manager - New Products

Samsara
Location not specified
Full Time
Posted December 31, 2025
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Job Description

The Software ML Engineering Manager New Products will lead a team of engineers to develop and deploy machine learning solutions that detect anomalies in telematics data across large fleets, improving operational safety and efficiency through real-time alerts and incident workflows.

Key Responsibilities

  • Lead and grow a team of software and ML engineers to develop anomaly detection systems for telematics data.
  • Translate ambiguous product ideas into clear roadmaps, technical strategies, and deliver customer value.
  • Build and maintain systems that analyze large-scale telematics data to detect fleet anomalies.
  • Oversee the delivery of security and incident workflows from detection to resolution.
  • Apply ML and AI techniques, including LLMs, to enhance detection capabilities.
  • Collaborate with cross-functional teams to deliver integrated hardware, firmware, and software solutions.
  • Ensure engineering excellence in architecture, reliability, and scoping while maintaining high velocity.
  • Engage with customers through rapid prototyping and feedback to drive outcome-driven development.

Requirements

  • Minimum of 6 years of professional software development experience.
  • At least 3 years of formal people management experience in a product-driven engineering environment.
  • Degree in Computer Science Engineering or equivalent practical experience.
  • Strong technical judgment and curiosity, with the willingness to dive into complex systems and messy real-world data.
  • Clear, confident communicator who can build trust across engineering, product, and cross-functional partners.
  • Passion for developing engineers and building a team culture that raises the bar.
  • Hands-on experience with machine learning, including building, deploying, or fine-tuning models, and the ability to guide ML work pragmatically.
  • Strong understanding of the data lifecycle and how to maintain data integrity across distributed systems without creating silos.
  • Track record of shipping and scaling products used by large customer bases.

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 remote work

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