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Technical Product Manager – Automotive (MBSE & Gen AI) || Dearborn, MI

Role: Technical Product Manager – Automotive (MBSE & Gen AI)

Location: Dearborn, MI – 4 Days Onsite per Week
Experience Required: 10+ Years



Domain: Automotive | SDV | MBSE | AI / GenAI
Role Type: Technical Product Management / Product Owner


Top Skills

·        Technical Product Management

·        MBSE (SysML, Simulink, Rhapsody, Cameo, 3DX)

·        Practical AI/ML & Generative AI implementation in engineering workflows

 

Job Summary

We are seeking an experienced Technical Product Manager (TPM) with strong expertise in Automotive Systems Engineering, Model-Based Systems Engineering (MBSE), and AI/Generative AI to drive next-generation Software Defined Vehicle (SDV) and digital engineering initiatives.

The ideal candidate will bridge vehicle systems, software architecture, MBSE models, and AI-enabled capabilities, owning the end-to-end product lifecycle from concept, roadmap, and development through OEM adoption.


Key Responsibilities

1. Product Strategy & Roadmap

Own and evolve the product roadmap for MBSE and AI-enabled automotive platforms across E/E Architecture, SDV, ADAS, Connected Vehicle, and EV domains.

Translate OEM and Tier-1 business requirements into product vision, epics, and features.

Define value propositions for AI-assisted MBSE use cases such as:

Requirements analysis automation

Model generation

V&V automation

Digital thread enablement


2. MBSE & Systems Engineering

Drive MBSE adoption using tools such as SysML, UML, MATLAB/Simulink, Cameo, Rhapsody, 3DX.

Partner with systems engineers to align:

Requirements

Functional architectures

Logical & physical models

Verification & validation artifacts

Ensure end-to-end traceability across requirements → models → software → validation within PLM/ALM ecosystems.


3. AI / Generative AI Enablement

Define and prioritize AI/GenAI capabilities including:

MBSE Assist

Requirement intelligence

Automated test generation

Anomaly detection

Engineering copilots

Collaborate with AI teams on:

LLMs

RAG architectures

Model governance

Cloud/Edge AI deployment

Ensure compliance with automotive safety, cybersecurity, and data privacy standards.


4. Cross-Functional Leadership

Act as single Product Owner across Engineering, AI/Data Science, UX, DevOps, and Validation teams.

Collaborate with OEM stakeholders, architects, program managers, and delivery leads.

Drive Agile ceremonies including backlog grooming, PI planning, sprint reviews, and release management.


5. Delivery & Governance

Define KPIs and success metrics (product adoption, cycle-time reduction, engineering productivity improvements).

Ensure compliance with:

ASPICE

ISO 26262

ISO 21434

OEM-specific SDLC standards

Support executive product updates, customer demos, and roadmap reviews.


Required Qualifications

Core Experience

·        10+ years of experience in Automotive software, systems engineering, or digital engineering.

·        3+ years in Product Manager / Product Owner / Technical Program Manager roles.

·        Hands-on experience with MBSE frameworks and tools (SysML, Simulink, Rhapsody, Cameo, 3DX).

·        AI & Digital Skills

·        Practical experience with AI/ML or Generative AI in engineering or enterprise workflows.

·        Familiarity with LLMs, RAG pipelines, data engineering, and cloud/edge AI architectures.

·        Ability to convert AI capabilities into scalable automotive engineering solutions (beyond PoCs).

·        Automotive Domain Knowledge

·        Strong understanding of:

·        Software Defined Vehicles (SDV)

·        E/E Architectures

·        ADAS

·        Connected Car

·        OTA

·        EV Systems

·        Experience with automotive validation, safety-critical systems, and V&V processes.

·        Prior OEM or Tier-1 supplier experience preferred.


Preferred / Nice-to-Have

·        Experience with PLM/ALM tools (Teamcenter, 3DX, Jira, Jama).

·        Exposure to Digital Thread / Digital Twin initiatives.

·        Experience leading automotive AI or MBSE transformation programs.

·        MBA or Master’s Degree in Systems / Automotive / Software Engineering.

·        Exposure to SysML modeling tools such as MagicDraw.


 

Please share the following details to submit your profile:

 

·        Linked In URL

·        Bachelor's (University / Year / Stream)

·        Master's (University / Year / Stream)

·        DOB (MM/DD) 

·        Resume + DL + Visa 

·        Passport Number:

·        Current Address with Zipcode:

·        Primary Contact No.

·        Interview Availability

 

 

Thanks,

_______________________________________

Pratiksha Hatkar | New York Technology Partners

pratiksha.hatkar@nytpcorp.com

120 Wood Avenue S | Suite 504 | Iselin NJ 08830

Direct: 201.604.3826 EXT: 441 | 

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