Senior Manager, Product Planning – Development

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Logo of Bridgestone Americas

Bridgestone Americas

10,000+ employees

💰 Grant on 2022-11

Automotive • Manufacturing • Sustainability

Bridgestone Americas is a leading global tire manufacturing company dedicated to revolutionizing mobility and enhancing how people and goods move. Committed to sustainability, the company focuses on providing valuable solutions that support both social and environmental well-being. With a rich history in tire production, Bridgestone Americas continues to innovate and evolve to meet the needs of today's society, while striving for a better tomorrow.

📋 Description

• Define and scale telematics partnership products including OEM, aftermarket device, and mobile SDK integrations that feed real-time vehicle health and driver behavior data into service workflows • Drive product strategy for ecosystem connectivity layers: managing device onboarding, data ingestion pipelines, and real-time telemetry APIs that trigger predictive risk and service recommendations • Build and evolve recommendation algorithms and scoring models leveraging telematics signals (speed, braking, engine diagnostics, DTC codes, trip behavior) to surface timely maintenance, risk, and safety insights • Develop API/platform strategy enabling third-party partners in service centers, insurers, fleet operators, and OEMs, to consume and act on telematics data at scale • Drive product strategy for the development of the digital-to-physical service loop: translating telematics signals into actionable maintenance alerts, service appointments, and parts fulfillment workflows routed to physical locations • Establish data governance frameworks for partner data-sharing, raw signal normalization, DTC interpretation, and scoring model transparency

🎯 Requirements

• Bachelor’s degree; 8+ years of relevant experience including 5+ years management or leadership experience OR Master’s degree; 6+ years of relevant experience including 4-5 years management or leadership experience • Experience with data pipeline tools (Kafka, Spark, Airflow) • Experience with ML/scoring platforms (Databricks, SageMaker, DataRobot) • Some SQL proficiency; familiarity with Python or R for model evaluation • Experience with Roadmapping tools (Productboard, Jira, Aha!), Data/analytics platforms (Looker, Tableau, Amplitude), and A/B testing and experimentation frameworks • Experience with AWS, GCP, or Azure — specifically data storage, streaming, and compute services • Experience with microservices and containerized architectures (Kubernetes, Docker)

🏖️ Benefits

• A supportive and engaging onboarding experience to ensure a smooth transition into our team. • The opportunity to develop and grow, through training and regular mentorship. • Corporate Social Responsibility activities. • A truly global, dynamic and challenging work environment. • Agility and work/life effectiveness and your long-term well-being. • A diverse and inclusive team.

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