Jobs / United States / Cambridge Mobile Telematics INC
Principal Technical Product Manager, Machine Learning
Cambridge Mobile Telematics INC · 🇺🇸 Cambridge, MA
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 12 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest May 2026) — the step every H-1B hire needs first. USCIS also records 4 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Cambridge Mobile Telematics INC paid sponsored hires in similar roles3 certified filings for “Director of Product Management” (Information Technology Project Managers) in MA: $96k–$188k, median $122k. Most were filed at wage level I (33%) — 1 lottery entry, ≈15% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Cambridge Mobile Telematics INC
The US Department of Labor certified 12 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest May 2026) — the step every H-1B hire needs first. USCIS also records 4 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Cambridge Mobile Telematics INC →
About the role
The Principal Technical Product Manager I, Machine Learning leads high-impact initiatives at the intersection of machine learning, telematics, and product innovation within CMT’s DriveWell Fusion Platform. This role is responsible for shaping and executing a data-centric roadmap—from signal processing and data cleansing to AI-powered insights—while working closely with engineering, customers, and cross-functional teams. With deep technical expertise and strong product instincts, you’ll turn complex data into actionable features that improve user safety, experience, and engagement. This is a strategic, hands-on role for a product leader passionate about solving real-world problems through data. CMT is looking for a Principal Technical Product Manager I, Machine Learning to help us change the world. CMT has helped protect over 65 million drivers and prevent over 126,000 crashes worldwide. We build AI to solve some of the most difficult challenges in mobility — understanding and reducing risk, detecting crashes, and getting people life-saving help. The problems are hard. The impact is real. No matter your role, your work will matter at CMT. Responsibilities: • Use independent judgment and discretion to own and manage the development and execution of product roadmaps within the DriveWell Fusion • Platform, with a strong emphasis on features related to telematics data cleansing, filtering, and advanced signal processing • Spearhead the design and implementation of AI/ML models and algorithms that generate actionable insights about driving and user behavior, mode of transportation, and other key metrics • Collaborate with cross-functional teams to integrate and optimize map data (e.g., OpenStreetMaps) for enhanced location-based services and analysis within the platform. • Serve as the primary point of contact for your product, interfacing with customers, the go-to-market team, and engineering to gather requirements and feedback, ensuring alignment of priority and scope • Develop a deep understanding of customer needs and leverage independent judgment to create a compelling vision for addressing those needs through innovative product solutions • Collaborate closely with engineering and design teams, utilizing your technical expertise to guide the development and delivery of high-impact features within the DriveWell Fusion Platform • Conduct in-depth analysis using tools such as Databricks and Tableau to derive insights that inform product decisions and identify new opportunities • Maintain a customer-centric, data driven approach, continuously seeking feedback and insights to enhance the user experience and drive product adoption • Establish yourself as a trusted advisor to customers, providing guidance and expertise on leveraging telematics solutions to achieve their goals • Proactively address emerging challenges and opportunities, adapting quickly to evolving business needs and priorities • Complete any additional tasks as they arise Qualifications: • Bachelor’s degree or equivalent years of experience and/or certification in a technical or quantitative field • 7+ years in Product Management, Data Science, Analytics or related field • Proven track record in big data analytics within the mobility sector, particularly experience and familiarity with telematics and geospatial data • Strong communication and negotiation skills with the ability to influence stakeholders • Extensive experience in data consulting or advisory roles in front of customers • Working knowledge of distributed compute and data pipelines used in training large transformer models. • Strong project management / program management skills to keep initiatives on track • Ability to adapt to changing business needs and prioritize efforts against the