Full Stack Developer with Gen AI

TechDigital Group

Dearborn (MI)

On-site

USD 100,000 - 130,000

Full time

14 days+

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Job summary

A leading automotive technology firm in Michigan is seeking a Technical Product Manager with expertise in Model-Based Systems Engineering (MBSE) and AI to lead the product strategy for software-defined vehicles. This role requires over 10 years of experience in automotive systems engineering, strong skills in MBSE tools, and a deep understanding of AI applications in engineering. The successful candidate will drive product lifecycle management from concept to delivery, collaborating with cross-functional teams and ensuring compliance with industry standards.

Qualifications

  • 10+ years in automotive software, systems engineering, or digital engineering.
  • 3+ years in Product Manager / Product Owner / Technical Program Manager roles.
  • Hands‑on exposure to MBSE frameworks and tooling.

Responsibilities

  • Own the product roadmap for MBSE and AI‑enabled automotive platforms.
  • Drive adoption of MBSE practices using SysML and related tools.
  • Define and prioritize AI/GenAI features across engineering workflows.

Skills

Technical Product Manager
MBSE (SysML, Simulink, Rhapsody, Cameo, 3DX)
Experience with AI/ML or Generative AI solutions

Education

MBA or Master’s degree in Engineering (Systems, Automotive, or Software)

Tools

SysML
Simulink
Rhapsody
MATLAB
3DX

Job description

Technical Product Manager – Automotive (MBSE & AI)

Location: US (Detroit / Dearborn preferred or Hybrid)

Experience: 10–15 years

Domain: Automotive | SDV | MBSE | AI / GenAI

Role Type: Technical Product Management / Product Owner

Role Summary

We are seeking a Technical Product Manager (TPM) with strong experience in Automotive systems engineering, Model-Based Systems Engineering (MBSE), and AI / Generative AI to drive next-generation software‑defined vehicle (SDV) and digital engineering products. This role bridges vehicle systems, software architecture, MBSE models, and AI‑enabled capabilities, owning the end‑to‑end product lifecycle from concept and roadmap through delivery and OEM adoption.

Key Responsibilities
Product Strategy & Roadmap
  • Own and evolve the product roadmap for MBSE‑ and AI‑enabled automotive platforms and tools across E/E architecture, SDV, ADAS, Connected Vehicle, or EV domains.
  • Translate OEM and Tier 1 business needs into clear product vision, epics, and features.
  • Define value propositions for AI‑assisted MBSE use cases (e.g., requirements analysis, model generation, V&V automation, digital thread enablement).
MBSE & Systems Engineering
  • Drive adoption of MBSE practices using SysML / UML / MATLAB‑Simulink / Cameo / Rhapsody / 3DX.
  • Partner with systems engineers to align requirements, functional architectures, logical/physical models, and V&V artifacts.
  • Ensure traceability across requirements → models → software → validation within PLM/ALM ecosystems.
AI / GenAI Enablement
  • Define and prioritize AI/GenAI features across automotive engineering workflows (MBSE Assist, requirement intelligence, test generation, anomaly detection, copilots).
  • Collaborate with AI engineering teams on LLMs, RAG architectures, model governance, and edge/cloud deployment.
  • Ensure AI solutions comply with automotive safety, security, and data privacy constraints.
Cross‑Functional Leadership
  • Act as the single product owner across engineering, data science, UX, DevOps, and validation teams.
  • Work closely with OEM stakeholders, architects, program managers, and delivery leads.
  • Drive Agile ceremonies, backlog grooming, PI planning, and release management.
Delivery & Governance
  • Define KPIs and success metrics (product adoption, engineering productivity, cycle‑time reduction).
  • Ensure compliance with ASPICE, ISO 26262, ISO 21434, and OEM‑specific SDLC expectations.
  • Support customer demos, roadmap reviews, and executive product updates.
Required Qualifications
Core Experience
  • 10+ years in automotive software, systems engineering, or digital engineering.
  • 3+ years in Product Manager / Product Owner / Technical Program Manager roles.
  • Hands‑on exposure to MBSE frameworks and tooling (SysML, Simulink, Rhapsody, Cameo, 3DX).
AI & Digital Skills
  • Practical experience working with AI/ML or Generative AI solutions in engineering or enterprise workflows.
  • Familiarity with LLMs, RAG pipelines, data pipelines, and cloud/edge AI architectures.
  • Ability to translate AI capabilities into real automotive engineering value (not just PoCs).
Automotive Domain Knowledge
  • Strong understanding of SDV, E/E architectures, ADAS, Connected Car, OTA, or EV systems.
  • Knowledge of automotive validation, V&V, and safety‑critical development.
  • Experience working with OEMs or Tier 1 suppliers is highly preferred.
Preferred / Nice‑to‑Have
  • Experience with PLM/ALM integration (Teamcenter, 3DX, Jira, Jama).
  • Exposure to digital thread / digital twin initiatives.
  • Prior experience leading customer‑facing automotive AI or MBSE transformations.
  • MBA or Master’s degree in Engineering (Systems, Automotive, or Software).
Top Skills
  • Technical Product Manager
  • MBSE (SysML, Simulink, Rhapsody, Cameo, 3DX)
  • Practical experience working with AI/ML or Generative AI solutions in engineering or enterprise workflows
Preferred Skills
  • Automotive Domain, SysML, Magic Draw
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