AI Coding Product Leader

The AI Coding Product Leader defines the vision, strategy, and roadmap for coding agent capabilities across the Stellantis software engineering ecosystem. This role oversees platforms and agentic development capabilities designed to improve developer productivity, strengthen software quality, and increase overall engineering effectiveness.

Role Accountabilities Strategy and roadmap

Define and communicate a clear vision, strategy, and multi-year roadmap for coding agent capabilities aligned with Stellantis software engineering, AI, and digital transformation priorities.

Set platform direction and prioritize investments based on business value, developer productivity, software quality, scalability, risk, and enterprise needs.

Platform delivery and adoption

Lead the evaluation, rollout, and continuous improvement of solutions such as Git Hub Copilot, Claude Code, Codex, Open Code, and related agentic coding capabilities.

Translate strategic priorities into clear epics, target outcomes, adoption plans, and delivery roadmaps for internal teams and external partners.

Establish the operating model for coding agents, including onboarding, enablement, usage policies, support, and collaboration across engineering communities.

Team and partner leadership

Build, grow, and organize the team and ecosystem required to support the coding agent strategy, including internal capabilities, ways of working, and regional coordination.

Coordinate external suppliers and strategic partners to ensure delivery quality, cost control, alignment with Stellantis standards, and execution against roadmap commitments.

Performance and governance

Define and track KPIs such as adoption, active usage, productivity uplift, cycle-time reduction, code quality improvement, and measurable engineering and business impact.

Work closely with engineering leaders, enterprise architecture, cybersecurity, legal, procurement, finance, and operations teams to ensure consistent execution and governance.

Ensure coding agent capabilities are deployed responsibly, with guardrails for security, compliance, privacy, intellectual property protection, and enterprise risk management.

Leadership and delivery

Strong experience in platform leadership, software engineering, developer tooling, or engineering transformation.

Proven ability to lead cross-functional teams and drive adoption in a complex global organization.

Technical and functional understanding

Solid understanding of coding agents, AI-assisted software engineering, developer workflows, Dev Ops practices, and enterprise delivery models.

Stakeholder and governance skills

Strong stakeholder management, communication, execution, and governance capabilities.

Basic Qualifications Bachelor’s or Master’s degree in Computer Science, Software Engineering, AI, Data Science, or related field.

Minimum 8 years of experience in software engineering, platform engineering, Dev Ops, AI/ML, or developer tooling.

Minimum 3 years of experience with AI-assisted development, coding agents, LLM-based systems, or developer productivity platforms.

Proven experience leading technical teams, platforms, or AI transformation initiatives.

Experience working in complex global organizations with multiple engineering teams, regions, and stakeholders.

Technical Skills Strong understanding of large language models, generative AI, coding agents, and AI-assisted software engineering.

Hands-on or functional experience with tools such as Git Hub Copilot, Claude Code, Codex, Open Code, or similar.

Good understanding of SDLC, Dev Ops practices, CI/CD, testing, code quality, and modern software architectures.

Experience evaluating, deploying, or managing AI coding tools and agentic development capabilities.

Familiarity with prompt engineering, agent…