Technical Product Manager

Ford•Dearborn, MI

7d•$86,600 - $166,200•Hybrid

About The Position

As the Technical Product Manager for the Vehicle Electrical Software & Systems Engineering (VESSE) Ecosystem of AI Tools, you will lead the strategy and adoption of artificial intelligence solutions that accelerate the design, development, and validation of vehicle electrical and software systems. In this position, you are not just a manager of backlogs; you are a technical practitioner and internal evangelist. You will use low-code/no-code tools to rapidly prototype AI-driven engineering solutions—such as automated requirement analysis, synthetic data generation for testing, or predictive E/E architecture optimization. Your mission is to prove the value of AI to the VESSE community, drive the adoption of our existing tool portfolio, and build the business cases that scale these innovations across the global engineering organization.

Requirements

Bachelor of Computer Science, Data Science, Data Engineering or equivalent combination of relevant education and experience
5+ years in a Technical Product Management or a "Solutions Architect" role preferably within the automotive or aerospace industry.
Data-Centric Mindset: Deep focus on data discovery; proven ability to identify, evaluate, and integrate high-value engineering datasets from across the VESSE lifecycle to power AI models.
AI/ML Literacy: Strong conceptual and practical understanding of Machine Learning (e.g., LLMs for requirements, Predictive Analytics for testing, or Computer Vision for hardware inspection).
Cloud & Infrastructure Proficiency: Solid proficiency in the GCP (Google Cloud Platform) ecosystem, including the ability to set up projects, define IAM roles, manage service accounts, and handle API registrations to support secure and scalable AI tool development.
Agile & SDLC Mastery: Expert-level proficiency in Agile methodologies and JIRA, with a deep understanding of the full SDLC as it applies to complex automotive software and systems engineering.

Nice To Haves

MBA or Master Degree of Computer Science, Data Science, Data Engineering or related field
Familiarity with Model-Based Systems Engineering (MBSE) and PLM tools.
Understanding of automotive safety and compliance standards (ISO 26262, ASPICE).
Experience with MLOps and the deployment of AI models into cloud-based engineering environments.
Demonstrated ability to build functional prototypes using Low-Code/No-Code tools to solve engineering problems.
5+ years of experience in Vehicle Electrical, Software, or Systems Engineering. You must understand the complexities of E/E architectures, ECU communication (CAN/Ethernet), and software-defined vehicle concepts.
Proven ability to lead and leverage diverse, cross-functional teams—including Data Engineers, Data Scientists, Full Stack/Front End Developers, and DevOps Engineers—across both US and offshore locations to deliver high-quality AI products on schedule.
Proven track record of "selling" technical products to internal stakeholders and driving cultural change within engineering teams.
Ability to develop financial models and business cases that justify the "Build vs. Buy" of AI tools.
Experience managing an "Ecosystem" of interconnected products rather than a single standalone feature.

Responsibilities

Act as the lead "product champion" for the existing VESSE AI tool suite and drive high adoption rates among electrical, software, and systems engineers.
Work deeply within the VESSE engineering workflows to identify pain points and translate these into new features for the AI tool ecosystem.
Lead workshops, "Ask Me Anything" (AMA) sessions, and internal demos to showcase how the AI ecosystem solves real-world engineering bottlenecks.
Use LCNC platforms (e.g., Streamlit, Github Copilot extensions for VS code, Agent mode using Claude, Chat GPT or Gemini models) to build functional "Quick-Win" POCs that demonstrate AI's potential in the VESSE space.
Use these prototypes to validate technical feasibility and user desirability before committing full-scale engineering resources.
Build robust business cases for new AI tools and features, linking technical performance to VESSE-specific KPIs such as Engineering Hours Saved, Defect Detection Rate (DDR), Time-to-Market reduction, and System Reliability.
Monitor the impact of the AI tool ecosystem on the vehicle development lifecycle and report progress to executive leadership.
Ensure AI tools are deeply integrated with standard VESSE workflows (e.g., SysML, AUTOSAR, MBSE tools, and CI/CD pipelines).
Partner with data engineers to ensure the VESSE ecosystem has access to high-quality, labeled engineering data for model training and fine-tuning.

Benefits

Immediate medical, dental, vision and prescription drug coverage
Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up childcare and more
Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
Vehicle discount program for employees and family members and management leases
Tuition assistance
Established and active employee resource groups
Paid time off for individual and team community service
A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
Paid time off and the option to purchase additional vacation time.
Visa sponsorship is available for this position.