Senior Software, ML Engineering Manager – New Products
Samsara
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇵🇱 Poland
Visit company websiteJob Level
Senior
Tech Stack
Distributed Systems
About the role
- Recruit, hire, mentor, and grow an inclusive, high-performing team of software and ML engineers
- Turn ambiguous “new product” bets into a clear roadmap, technical strategy, and shipped customer value
- Build systems that analyse large-scale telematics data and detect anomalies across fleets — not just per-vehicle troubleshooting
- Lead delivery of end-to-end security and incident workflows, from detection to investigation to resolution
- Guide the team in applying ML and modern AI techniques (including LLMs where they add leverage) to create differentiated capabilities
- Partner deeply with Product, Design, Firmware, and Data Science to deliver cohesive experiences across the stack
- Champion engineering excellence: architecture quality, reliability, and thoughtful scoping — while keeping velocity high
- Keep the team close to customers: rapid prototyping, direct feedback loops, and outcome-driven iteration
- Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.
Requirements
- 6+ years of formal people management experience in a product-driven engineering environment, including managing managers
- Degree in Computer Science/Engineering (or equivalent practical experience)
- Strong technical judgement and curiosity — you’re willing to dive into complex systems and messy real-world data
- Clear, confident communicator who builds trust across engineering, product, and cross-functional partners
- Passion for developing engineers and building a team culture that raises the bar
- Experience thriving in ambiguity — “startup DNA” in a high-growth environment
- Hands-on ML experience (building with, deploying, or fine-tuning models) and the ability to guide ML work pragmatically
- Strong understanding of the data lifecycle and how to maintain integrity across distributed systems without creating silos
- Track record of shipping and scaling products used by large customer bases
Benefits
- Full time employees receive a competitive total compensation package along with employee-led remote and flexible working
- health benefits
- much, much more
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningAI techniquesdata analysisanomaly detectionsoftware engineeringproduct managementtechnical strategyprototypingdata lifecycle managementmodel deployment
Soft skills
people managementcommunicationteam buildingtrust buildingcuriositymentorshipadaptabilitycustomer focusinclusive leadershipproblem-solving
Certifications
degree in Computer Sciencedegree in Engineering