Principal ML Product Manager - Safety & Mobility AI

Cambridge Mobile Telematics; Cambridge (MA); On-site; USD 141,000 - 176,000; Full time

Benefits offered by this job

RSUs

Annual performance bonus

Medical, Dental, Vision Insurance

401k match

Unlimited PTO

Summer Fridays

Job summary

Cambridge Mobile Telematics is seeking a Principal Technical Product Manager I, Machine Learning to lead data-centric initiatives within the DriveWell Fusion Platform in Cambridge, MA. You will shape roadmaps, own AI/ML features, and translate complex telematics data into actionable product outcomes that improve safety and user engagement.

You will collaborate with engineering, customers, and cross-functional teams to design models, refine signal processing, and integrate map data, with a strong

Qualifications

• Bachelor’s degree or equivalent 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 mobility/telematics geospatial data.

Responsibilities

• Own and manage the development and execution of roadmaps within DriveWell Fusion.
• Focus on telematics data cleansing, filtering, and advanced signal processing.
• Design and implement AI/ML models that generate actionable driving Insights.
• Collaborate with cross-functional teams to integrate map data for location-based services.

Skills

Machine learning

Telematics

Geospatial data

Data analytics

Cross-functional leadership

Education

Bachelor’s degree or equivalent in a technical field

Tools

Databricks

Tableau

OpenStreetMap

Job description

Cambridge Mobile Telematics is seeking a Principal Technical Product Manager I, Machine Learning to lead data-centric initiatives within the DriveWell Fusion Platform in Cambridge, MA. You will shape roadmaps, own AI/ML features, and translate complex telematics data into actionable product outcomes that improve safety and user engagement.

You will collaborate with engineering, customers, and cross-functional teams to design models, refine signal processing, and integrate map data, with a strong