GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online. The Vice President of Engineering Core Developers will lead large-scale engineering organizations to create AI-native product experiences and partner closely with various teams to innovate and enhance engineering excellence.
Responsibilities:
- Lead multiple product engineering organizations spanning frontend, backend, cloud infrastructure, and AI‑enabled systems
- Build and develop high‑performing, inclusive engineering leadership teams, fostering a culture of ownership, continuous improvement, and sustainable delivery
- Partner closely with Product and Design to align execution with strategic priorities and customer outcomes
- Advance engineering excellence across scalability, reliability, experimentation, and developer productivity
- Lead quarterly and annual planning across innovation, platform modernization, and operational stability
- Embed AI and emerging intelligent capabilities across developer workflows, customer experiences, and internal systems
- Champion AI‑assisted engineering practices, including code generation, intelligent testing, automation, and developer copilots
- Partner with AI/ML teams to bring AI systems into production, including orchestration platforms, inference pipelines, and governance frameworks
- Help ensure responsible AI practices with strong standards for privacy, security, reliability, and observability
- Scale cloud‑native architectures, APIs, and distributed systems that power high‑impact products
- Improve developer efficiency through CI/CD modernization, self‑service tooling, and platform standardization
- Support data‑informed decision making through experimentation, telemetry, analytics, and A/B testing
- Partner with Security and Infrastructure teams to deliver secure‑by‑default systems and resilient operations
Requirements:
- 15+ years of software engineering experience in SaaS, AI platforms, cloud infrastructure, hosting or commerce environments with 7+ years leading large-scale engineering organizations
- Experience leading Directors, Senior Directors, and VP-level engineering teams. Strong executive communication and multi-functional leadership skills
- Shown success delivering cloud-scale SaaS products with high availability and global scale
- Strong technical depth across distributed systems, cloud infrastructure, APIs, platform engineering, and DevOps
- Experience driving engineering modernization, automation, and developer productivity initiatives
- Experience with AI/ML systems, LLM applications, agentic AI architectures, or AI developer tooling
- Experience embedding AI-assisted development workflows into engineering organizations
- Familiarity with experimentation platforms, identity systems, APIs, commerce, or developer ecosystems
- Bachelor's or Master's degree in Computer Science, Engineering, or related field