Full Stack Developer Gen AI
Listed on 2026-07-01
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IT/Tech
AI Business & Operations, AI Engineer (Applied/Software) -
Engineering
AI Business & Operations, AI Engineer (Applied/Software)
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 & RoadmapOwn 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 EngineeringDrive 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 EnablementDefine 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 LeadershipAct as the single product owner across engineering, data science, UX, Dev Ops, 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 & GovernanceDefine 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 Experience10+ 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 SkillsPractical 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 KnowledgeStrong 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-HaveExperience 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)
TopSkills:
Technical Product Manager MBSE (SysML, Simulink, Rhapsody, Cameo, 3DX)
Practical experience working with AI/ML or Generative AI solutions in engineering or enterprise workflows
PreferredSkills:
Automotive Domain, SysML, Magic Draw.
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