Senior Product Manager, Health and Telemetry

Ford Motor•Dearborn, MI

1d•Hybrid

About The Position

Ford Energy, a newly formed wholly owned Ford Motor Company subsidiary, designs, manufactures, and services grid-scale and commercial DC battery energy storage systems. The Senior Product Manager will lead Ford Energy’s telemetry and battery health software, which captures data from deployed assets and turns it into information customers can use to monitor and manage their systems and Ford Energy can use to improve service speed and cost. The role defines the product roadmap and leads the deployment of AI capabilities to identify faults, estimate health, detect anomalies, and forecast degradation, with a focus on reliable operation at fleet scale. The position works across customers, service and engineering teams, Project Operations & Performance, software engineering, data science, UX design, analytics, Cybersecurity, and Legal. It owns product discovery, business-case development, data integrations and access, AI pilots and production deployment, cross-functional delivery, performance measurement, and ongoing product improvement. The role is hybrid, with a requirement to be onsite four or more days per week. It is leadership level 6, with a stated salary range of $115,500–$218,100. The position will initially be employed by Ford and is expected to transition to the Ford Energy subsidiary within one year.

Requirements

High school diploma or equivalent combination of relevant education and experience.
At least 10 years of progressive experience leading product management in a large-scale environment.
At least 5 years of experience leading digital product development or AI-enabled products from planning through launch and improvement.
At least 3 years of experience delivering AI-enabled features, or a strong working understanding of how modern AI systems are built and managed.
At least 3 years of experience building systems where AI operates autonomously, with the ability to demonstrate how those systems were made 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.

Nice To Haves

Domain knowledge in battery energy storage, battery management systems, EV batteries, or connected industrial assets, particularly diagnostics, health monitoring, or predictive maintenance.
Familiarity with industrial data, telemetry or IoT platforms, time-series data, or security requirements for utility and critical-infrastructure systems.
Prior experience deploying agentic AI, copilots, or automation into operational or customer-facing workflows, including defining guardrails, evaluation frameworks, and human oversight.
Bachelor’s degree in Business, Engineering, Data Science, Human-Computer Interaction, or a related field.
Master of Business Administration.

Responsibilities

Own discovery and business-case development for telemetry and asset health products, grounding the roadmap in customer and internal research and in uptime, warranty, and cost-to-serve outcomes.
Define how asset data reaches Ford Energy and its customers, working on integrations with partner systems and Ford Energy hardware and partnering with Cybersecurity, Legal, and customers on data access, security, and approvals.
Identify opportunities for AI to improve asset health, including fault detection, health estimation, anomaly detection, and degradation forecasting, and lead responsible deployment from pilot to production.
Define AI evaluation criteria, guardrails, human-in-the-loop design, and measurement of customer and business impact.
Analyze telemetry and service data to identify recurring failure modes, avoidable site visits, and opportunities to shorten diagnosis and resolution times.
Translate product vision into product definitions and technical requirements, coordinating delivery with Project Operations & Performance, software engineering, data science, UX design, and analytics teams from concept through launch and iteration.
Implement AI-powered feedback loops in product management to monitor customer feedback, identify user friction, and prioritize improvements.
Synthesize customer insights, technical constraints, and financial projections into recommendations for executive leadership to secure buy-in and investment.
Define and track input and output metrics demonstrating business and customer impact.
Monitor customer and service users to improve adoption, usability, and outcomes.

Benefits

Immediate medical, dental, vision, and prescription drug coverage.
Paid parental leave and new parent ramp-up programs.
Subsidized backup child care.
Family-building benefits, including adoption and surrogacy expense reimbursement and fertility treatments.
Vehicle discount program for employees and family members, and management leases.
Tuition assistance.
Employee resource groups.
Paid time off for individual and team community service.
Vacation time, sick/personal time, and paid holidays, including between Christmas Eve and New Year’s Day.
Performance-based bonuses.
Competitive compensation package.