AI Coding Product Leader

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, 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.

Define 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.

Deep 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 to define validation practices for AI-generated code, including testing, quality gates, security checks, and human review.

Understanding of how coding agents integrate with enterprise platforms such as GitHub, CI/CD, artifact repositories, security tools, and developer portals.

Strong ability to translate business and engineering problems into AI-enabled software development solutions.

Experience building ROI-driven business cases for AI adoption, including productivity uplift, cycle-time reduction, quality improvement, and cost optimization.

Ability to partner with engineering, product, cybersecurity, legal, procurement, finance, operations, and enterprise architecture teams.

Excellent communication skills for both technical and non-technical audiences, including executive stakeholders.

Experience coordinating external suppliers and strategic partners to ensure delivery quality, cost control, and alignment with enterprise standards.

Ability to balance innovation with risk, governance, scalability, cybersecurity, compliance, and enterprise constraints.

Understanding of responsible AI, data privacy, intellectual property protection, and security considerations related to AI-generated code.

Experience implementing guardrails for AI-assisted development, including usage policies, security controls, auditability, and compliance requirements.

Ability to define governance models for coding agents, including onboarding, support, approved tools, monitoring, and escalation processes.

Experience with enterprise-scale AI transformation initiatives.

Background in DevOps, platform engineering, cloud engineering, MLOps, or developer experience.

Knowledge of vector databases, RAG, embeddings, agent frameworks, orchestration frameworks, and AI gateway patterns.

Experience leading an AI Center of Excellence, developer productivity team, platform team, or engineering transformation initiative.

Experience with GitHub Enterprise, CI/CD platforms, artifact management, testing automation, software quality platforms, or internal developer platforms.