Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
AICoding ProductLeader
Job
Stellantis
Lake Angelus, MI (In Person)
Full-Time
Review key factors to help you decide if the role fits your goals.
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
100
out of 100
Average of individual scores
Skill Insights
Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.
Job Description
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 AccountabilitiesStrategy and roadmapDefine 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 adoptionLead the evaluation, rollout, and continuous improvement of solutions such as GitHub Copilot, Claude Code, Codex, OpenCode, 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 leadershipBuild, 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 governanceDefine 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.
ProfileLeadership and deliveryStrong 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 understandingSolid understanding of coding agents, AI-assisted software engineering, developer workflows, DevOps practices, and enterprise delivery models.
Stakeholder and governance skillsStrong stakeholder management, communication, execution, and governance capabilities.
Success MeasuresStrategic alignmentA clear and credible coding agent strategy and roadmap are established and supported by key Stellantis stakeholders.
Adoption and scaleCoding agent capabilities are 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.
Execution qualitySuppliers and partners deliver effectively against objectives, with strong alignment to quality, cost, timelines, and enterprise standards.
Value and trustThe 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.
Core QualificationsBachelor'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, DevOps, 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 SkillsStrong understanding of large language models, generative AI, coding agents, and AI-assisted software engineering.
Hands-on or functional experience with tools such as GitHub Copilot, Claude Code, Codex, OpenCode, or similar.
Good understanding of SDLC, DevOps 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 workflows, orchestration frameworks, RAG, embeddings, and AI-enabled development environments.
Ability to assess AI coding solutions based on productivity, quality, scalability, security, integration, cost, and enterprise readiness. Leadership & StrategyDefine and execute the vision, strategy, and roadmap for coding agent capabilities across the software engineering ecosystem.
Set platform direction and prioritize investments based on business value, developer productivity, software quality, scalability, cost, and risk.
Lead the evaluation, rollout, adoption, and continuous improvement of AI coding solutions.
Translate strategic priorities into clear epics, outcomes, adoption plans, and delivery roadmaps.
Build and structure the team, operating model, and partner ecosystem required to scale coding agent capabilities.
Drive adoption across engineering communities through onboarding, enablement, communication, and change management. AI & Automation ExpertiseDeep understanding of AI-assisted coding workflows, coding agent design patterns, prompt engineering, and code generation optimization.
Experience implementing AI-driven productivity improvements across development, testing, documentation, code review, and automation workflows.
Ability... For full info follow application link. Equal Opportunity Employer Minorities/Women/Protected Veterans/Disabled.
Role AccountabilitiesStrategy and roadmapDefine 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 adoptionLead the evaluation, rollout, and continuous improvement of solutions such as GitHub Copilot, Claude Code, Codex, OpenCode, 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 leadershipBuild, 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 governanceDefine 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.
ProfileLeadership and deliveryStrong 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 understandingSolid understanding of coding agents, AI-assisted software engineering, developer workflows, DevOps practices, and enterprise delivery models.
Stakeholder and governance skillsStrong stakeholder management, communication, execution, and governance capabilities.
Success MeasuresStrategic alignmentA clear and credible coding agent strategy and roadmap are established and supported by key Stellantis stakeholders.
Adoption and scaleCoding agent capabilities are 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.
Execution qualitySuppliers and partners deliver effectively against objectives, with strong alignment to quality, cost, timelines, and enterprise standards.
Value and trustThe 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.
Core QualificationsBachelor'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, DevOps, 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 SkillsStrong understanding of large language models, generative AI, coding agents, and AI-assisted software engineering.
Hands-on or functional experience with tools such as GitHub Copilot, Claude Code, Codex, OpenCode, or similar.
Good understanding of SDLC, DevOps 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 workflows, orchestration frameworks, RAG, embeddings, and AI-enabled development environments.
Ability to assess AI coding solutions based on productivity, quality, scalability, security, integration, cost, and enterprise readiness. Leadership & StrategyDefine and execute the vision, strategy, and roadmap for coding agent capabilities across the software engineering ecosystem.
Set platform direction and prioritize investments based on business value, developer productivity, software quality, scalability, cost, and risk.
Lead the evaluation, rollout, adoption, and continuous improvement of AI coding solutions.
Translate strategic priorities into clear epics, outcomes, adoption plans, and delivery roadmaps.
Build and structure the team, operating model, and partner ecosystem required to scale coding agent capabilities.
Drive adoption across engineering communities through onboarding, enablement, communication, and change management. AI & Automation ExpertiseDeep understanding of AI-assisted coding workflows, coding agent design patterns, prompt engineering, and code generation optimization.
Experience implementing AI-driven productivity improvements across development, testing, documentation, code review, and automation workflows.
Ability... For full info follow application link. Equal Opportunity Employer Minorities/Women/Protected Veterans/Disabled.