• Define and drive the technical strategy for CAM’s predictive maintenance platform, including architecture for data ingestion, feature engineering, model serving, and customer-facing workflows. • Lead the design and implementation of new predictive models and data products, working closely with ML/data partners to move from proof-of-concept to robust, monitored, and continuously improving production systems. • Own and evolve large-scale, distributed systems that process high-volume time-series and event data from Samsara devices and third-party sources, ensuring reliability, performance, and cost efficiency as we grow. • Collaborate across the stack (backend, web, and potentially mobile) to deliver end-to-end features—APIs, data models, business logic, and intuitive UI flows—that bring predictive insights into day-to-day maintenance workflows. • Partner with product, design, and customer-facing teams to define the roadmap, translate ambiguous business problems into clear technical projects, and measure the impact of what we ship (e.g., reduced breakdowns, fewer emergency repairs, improved shop throughput). • Mentor and multiply other engineers on the team through code reviews, design reviews, technical coaching, and by setting high standards for quality, reliability, and velocity.