AICoding ProductLeader

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.

• 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.

• 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.

• 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.

• 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.

• 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.

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

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

• A clear and credible coding agent strategy and roadmap established and supported by key stakeholders.

• Coding agent capabilities adopted at scale across software engineering teams and regions.
• The team and operating model are structured to sustain the strategy and execution model over time.

• Suppliers and partners deliver effectively against objectives, with strong alignment to quality, cost, timelines, and enterprise standards.

• The value delivered by coding agents is visible through well‑defined KPIs, regular tracking, and demonstrated engineering and business outcomes.
• Coding agent capabilities are trusted, secure, and aligned with enterprise governance requirements.

• 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.

• 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,…