Job Title: Product Manager
Location: Dearborn, MI. (must be local)
Job Type: On-going contract based on performance
Expected hours per week: 40 hours per week
Schedule: Onsite
Job Description:
Technical Product Manager – AI Tools
Position Overview
We are seeking a Technical Product Manager to lead the strategy, adoption, and scaling of an AI-powered tool ecosystem that accelerates vehicle electrical, software, and systems engineering workflows. This role goes beyond backlog management—you will be a technical practitioner, product champion, and internal evangelist who proves the real-world value of AI through rapid prototyping, measurable outcomes, and strong stakeholder engagement.
You will work closely with electrical, software, and systems engineers to identify workflow pain points, validate AI-driven solutions, and bring high-impact tools from concept to production.
Key Responsibilities
Ecosystem Strategy & Evangelism
- Act as the lead product champion for an existing AI tool portfolio supporting vehicle electrical, software, and systems engineering.
- Drive adoption across engineering teams through hands-on engagement and continuous advocacy.
- Lead workshops, internal demos, and “Ask Me Anything” (AMA) sessions to showcase how AI tools solve real engineering bottlenecks.
- Embed yourself in engineering workflows to identify pain points and translate them into actionable product features.
Rapid Prototyping & Feasibility Testing
- Build rapid proofs of concept (POCs) using low-code/no-code platforms such as:
- Streamlit
- GitHub Copilot extensions
- Agent-based workflows using modern AI models (e.g., ChatGPT, Claude, Gemini)
- Deliver “quick-win” prototypes that demonstrate AI value before committing full engineering resources.
- Validate both technical feasibility and user desirability prior to full-scale development.
Business Case & KPI Ownership
- Develop strong business cases for new AI tools and enhancements.
- Quantify value using engineering-focused KPIs, including:
- Engineering hours saved
- Defect Detection Rate (DDR)
- Time-to-market reduction
- System reliability improvements
- Track ROI across the vehicle development lifecycle and report outcomes to leadership.
Technical Integration & Data Strategy
- Ensure AI tools integrate seamlessly into standard vehicle engineering environments, including:
- SysML
- AUTOSAR
- MBSE toolchains
- CI/CD pipelines
- Partner with data and platform teams to ensure access to high-quality, well-labeled engineering data for model training and fine-tuning.
- Support lifecycle management from prototype through production deployment.
Required Qualifications
- 3–5 years of experience in a relevant technical or product role.
- Strong background in Vehicle Electrical, Software, or Systems Engineering.
- Working knowledge of:
- E/E architectures
- ECU communication (CAN, Ethernet)
- Software-defined vehicle concepts
- Proven experience using Jira and Agile delivery methodologies.
- Ability to translate business needs into clear, actionable product requirements.
- Excellent communication and cross-functional collaboration skills.
- Proactive, ownership-driven mindset with a strong interest in applying AI to improve engineering workflows.
- Exposure to Big Data, Data Science, Analytics, Full Stack Development, or AI/Expert Systems.
- Familiarity with taking applications from prototype to production, including productization and end-to-end delivery.
- Hands-on coding experience is not required, but a strong technical and architectural understanding is expected.
Education
- Bachelor’s Degree required.
Work Setup & Hiring Process
- 4 days onsite / 1 day remote
- In-person interviews required
Benefits: 80 hours paid time off, medical insurance contributions, dental vision and our 401k retirement savings plan.
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