What are the responsibilities and job description for the Technical Product Manager - AI & Vehicle Systems - W2 position at Miracle Software Systems, Inc?
We Miracle Software Systems is looking for the Technical Product Manager - AI & Vehicle Systems on W2 Local to Michigan
Technical Product Manager - AI & Vehicle Systems
Dearborn, MI
Long-term
Skills : Big Data, Data Science, Analyst, Full Stack, Artificial Intelligence & Expert Systems
Position Description:
1. Ecosystem Strategy & Evangelism Portfolio Advocacy: Act as the lead "product champion" for the existing VESSE AI tool suite. Drive high adoption rates among electrical, software, and systems engineers. Feature Discovery: Work deeply within the VESSE engineering workflows to identify pain points; translate these into new features for the AI tool ecosystem. Community Building: Lead workshops, "Ask Me Anything" (AMA) sessions, and internal demos to showcase how the AI ecosystem solves real-world engineering bottlenecks.
2. Rapid POC Development (Low-Code/No-Code) Hands-on Prototyping: 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. Feasibility Testing: Use these prototypes to validate technical feasibility and user desirability before committing full-scale engineering resources.
3. Business Case & KPI Ownership Value Quantification: Build robust business cases for new AI tools and features. Link technical performance to VESSE-specific KPIs such as Engineering Hours Saved, Defect Detection Rate (DDR), Time-to-Market reduction, and System Reliability. ROI Tracking: Monitor the impact of the AI tool ecosystem on the vehicle development lifecycle and report progress to executive leadership.
4. Technical Integration & Lifecycle Management Domain Expertise: Ensure AI tools are deeply integrated with standard VESSE workflows (e.g., SysML, AUTOSAR, MBSE tools, and CI/CD pipelines). Data Strategy: Partner with data engineers to ensure the VESSE ecosystem has access to high-quality, labeled engineering data for model training and fine-tuning. Technical & Engineering Expertise VESSE Domain Knowledge: 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.
Skills Required:
Product Management Key Requirements: Strong experience working with Jira Excellent communication and collaboration skills Solid understanding of what it takes to build and deliver applications Ability to work closely with cross-functional teams, including full-stack developers, data engineers, and API developers Strong understanding of roles and responsibilities across different teams Ability to understand and translate business needs into actionable requirements Proactive mindset with a willingness to go above and beyond expectations Interest in learning and applying AI concepts to improve products and processes Nice to Have: No hands-on development or UI/UX experience required, but a strong conceptual understanding is important Familiarity with taking applications into production, including productization and end-to-end project delivery
Skills Preferred:
Big Data, Data Science, Analyst, Full Stack, Artificial Intelligence & Expert Systems
Experience Required:
Senior Associate Exp: 8 years experience in relevant field
Experience Preferred:
As the Technical Product Manager for the 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. 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.