Full Stack Developer with Gen AI

TechDigital4 months ago
Dearborn, MI, United States
Hybrid
Full-time
Junior Level (1-3 years)

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) [TDM Creati...esentation | PowerPoint]

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 [West Monro...ed - Final | PDF]

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 [Cognizant...AI RPA RFP | Word]

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 [Cognizant...ntation v3 | PowerPoint]

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) [TDM Creati...esentation | PowerPoint]

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.

Skills:

  • Adobe Acrobat
  • Agile Programming Methodologies
  • Artificial Intelligence (AI)
  • Atlassian JIRA
  • Automation
  • Automotive Engineering
  • Automotive Industry
  • Automotive Management
  • Automotive Technology
  • Backlog Prioritization
  • Business Administration
  • Cloud Computing
  • Cross-Functional
  • Customer Relations
  • Customer Support/Service
  • Data Management
  • Data Science
  • DevOps
  • Ecosystems
  • ISO (International Organization for Standardization)
  • Leadership
  • Machine Tool
  • Maintain Compliance
  • Metrics
  • Microsoft PowerPoint
  • Microsoft Word
  • OEM (Original Equipment Manufacturer)
  • Performance Metrics
  • Privacy Controls
  • Product Demonstration
  • Product Engineering
  • Product Lifecycle
  • Product Lifecycle Management
  • Product Management
  • Product Planning
  • Product Reviews
  • Product Strategy
  • Project/Program Management
  • Release Management/Engineering
  • Request for Proposals (RFP)
  • Requirements Management
  • Safety Compliance
  • Software Architecture
  • Software Development Lifecycle (SDLC)
  • Software Validation
  • System Architecture
  • Systems Engineering
  • TDM (Time Division Multiplexing)
  • Teamcenter
  • Technical Leadership
  • Time Management
  • Traceability
  • Use Cases
  • User Interface/Experience (UI/UX)

About the Company:

TechDigital

Company Size:

Company Size: 100 to 499 employees

Industry:

Industry: Other/Not Classified

Founded:

Founded: 0

Required Skills

Software Development Lifecycle (SDLC)
Agile Methodologies
MBSE (SysML, Simulink, Rhapsody, Cameo, 3DX)
Leadership
PLM/ALM Integration (Teamcenter, Jira)
Technical Leadership
Project Management
Data Science
Customer Relations
Time Management
Artificial Intelligence (AI)
Automotive Domain Knowledge
Cross-Functional Collaboration