Product Manager

Technical Product Manager – AI Tools 

Position Overview

We are seeking a Technical Product Manager to lead the strategy, adoption, and scaling of an AI-powered tool ecosystem that accelerates vehicle electrical, software, and systems engineering workflows. This role goes beyond backlog management—you will be a technical practitioner, product champion, and internal evangelist who proves the real-world value of AI through rapid prototyping, measurable outcomes, and strong stakeholder engagement.

You will work closely with electrical, software, and systems engineers to identify workflow pain points, validate AI-driven solutions, and bring high-impact tools from concept to production.

Key Responsibilities

Ecosystem Strategy & Evangelism

• Act as the lead product champion for an existing AI tool portfolio supporting vehicle electrical, software, and systems engineering.
• Drive adoption across engineering teams through hands-on engagement and continuous advocacy.
• Lead workshops, internal demos, and “Ask Me Anything” (AMA) sessions to showcase how AI tools solve real engineering bottlenecks.
• Embed yourself in engineering workflows to identify pain points and translate them into actionable product features.

Rapid Prototyping & Feasibility Testing

• Build rapid proofs of concept (POCs) using low-code/no-code platforms such as:
  • Streamlit
  • GitHub Copilot extensions
  • Agent-based workflows using modern AI models (e.g., ChatGPT, Claude, Gemini)
• Deliver “quick-win” prototypes that demonstrate AI value before committing full engineering resources.
• Validate both technical feasibility and user desirability prior to full-scale development.

Business Case & KPI Ownership

• Develop strong business cases for new AI tools and enhancements.
• Quantify value using engineering-focused KPIs, including:
  • Engineering hours saved
  • Defect Detection Rate (DDR)
  • Time-to-market reduction
  • System reliability improvements
• Track ROI across the vehicle development lifecycle and report outcomes to leadership.

Technical Integration & Data Strategy

• Ensure AI tools integrate seamlessly into standard vehicle engineering environments, including:
  • SysML
  • AUTOSAR
  • MBSE toolchains
  • CI/CD pipelines
• Partner with data and platform teams to ensure access to high-quality, well-labeled engineering data for model training and fine-tuning.
• Support lifecycle management from prototype through production deployment.

Required Qualifications

• 3–5 years of experience in a relevant technical or product role.
• Strong background in Vehicle Electrical, Software, or Systems Engineering.
• Working knowledge of:
  • E/E architectures
  • ECU communication (CAN, Ethernet)
  • Software-defined vehicle concepts
• Proven experience using Jira and Agile delivery methodologies.
• Ability to translate business needs into clear, actionable product requirements.
• Excellent communication and cross-functional collaboration skills.
• Proactive, ownership-driven mindset with a strong interest in applying AI to improve engineering workflows.
• Exposure to Big Data, Data Science, Analytics, Full Stack Development, or AI/Expert Systems.
• Familiarity with taking applications from prototype to production, including productization and end-to-end delivery.
• Hands-on coding experience is not required, but a strong technical and architectural understanding is expected.

Education

• Bachelor’s Degree required.

Work Setup & Hiring Process

• 4 days onsite / 1 day remote
• In-person interviews required