Senior Product Manager - AI-Driven Battery Asset Health

Ford; Dearborn (MI); Hybrid; USD 116,000 - 218,000; Full time

Benefits offered by this job

Medical, dental, vision coverage

Paid parental leave

Vehicle discount program for employees

Tuition assistance

Paid time off

Job summary

Ford Energy seeks a Sr. Product Manager to lead telemetry and battery health software for its energy storage assets. You will turn field data into a clear asset health picture, drive AI-enabled enhancements, and coordinate with engineering, cybersecurity, and legal teams to ensure secure, scalable deployments.

You will own discovery, define data flows, and shepherd pilot-to-production efforts, focusing on uptime, warranty, and cost-to-serve improvements across fleet-scale deployments.

Qualifications

• 10+ years of progressive growth and experience leading Product Management in large scale environment.
• 5+ years of experience leading digital product development or AI-enabled products from planning through launch and improvements.
• 3+ years of experience delivering AI-enabled features, or a strong working understanding of how modern AI systems are built and managed.
• 3+ years of experience building systems where AI operates autonomously and can demonstrate how they made those systems reliable
• Experience shipping AI- or ML-enabled product features, or a strong working understanding of how LLM-based and agentic systems are built, evaluated, and governed in production
• Experience with software that handles substantial amounts of data or connects to equipment.
• Strong communication, leadership, and customer-focused skills.

Responsibilities

• Own discovery and business-case development for telemetry and asset health products, grounding the roadmap in research with customers and Ford Energy service and engineering teams, and in the uptime, warranty and cost-to-serve outcomes those products drive.
• Define how asset data reaches Ford Energy and its customers, working through integrations with partner systems and Ford Energy's own hardware, and partnering with Cybersecurity, Legal and customers on data access, security and approvals.
• Identify where AI can meaningfully improve asset health outcomes - fault detection, health estimation, anomaly detection and degradation forecasting - and lead responsible pilot-to-production deployment, including evaluation criteria, guardrails, human-in-the-loop design, and measurement of customer and business impact.
• Conduct deep-drive analyses of telemetry and service data to identify recurring failure modes, avoidable site visits, and opportunities to shorten time to diagnosis and resolution.
• Orchestrate cross-functional delivery by translating product vision into clear product definitions and technical requirements, partnering closely with Project Operations & Performance, software engineering, data science, UX design and analytics teams from concept through launch and ongoing iteration.
• Implement AI-powered feedback loops into the product management process to monitor customer feedback, identify user friction, and identify and prioritize improvements.
• Synthesize customer insights and feedback, technical constraints and financial projections into high-impact recommendations for executive leadership, providing the strategic clarity and data-backed rationale required to secure buy-in and investment.
• Define and track input and output metrics to demonstrate business and customer impact for telemetry and health products. Implement structured monitoring of customer and service users to continuously improve adoption, usability, and outcomes.

Skills

Leadership

Communication

AI-enabled product development

Cross-functional collaboration

Data analysis

Product roadmap

Security awareness

Education

HS Diploma or equivalent

Bachelor's Degree in Business, Engineering, Data Science, HCI, or related field

MBA (Master of Business Administration)

Job description

Ford Energy seeks a Sr. Product Manager to lead telemetry and battery health software for its energy storage assets. You will turn field data into a clear asset health picture, drive AI-enabled enhancements, and coordinate with engineering, cybersecurity, and legal teams to ensure secure, scalable deployments.

You will own discovery, define data flows, and shepherd pilot-to-production efforts, focusing on uptime, warranty, and cost-to-serve improvements across fleet-scale deployments.