Vice President Engineering Core Developers

GoDaddy

10d•$258,750 - $431,250•Remote

About The Position

GoDaddy is seeking a Vice President of Engineering Core Developers to lead the next generation of AI-native product experiences powering millions of entrepreneurs worldwide. This role involves leading large-scale engineering organizations across product platforms, cloud systems, developer tooling, and AI-enabled experiences, while partnering closely with Product, Design, Data/AI, Security, and GTM teams. The position offers an opportunity to redefine how software is built and experienced in the era of AI, focusing on AI-native platforms, intelligent experiences, and scalable systems. The ideal candidate is a deeply technical leader who thrives in ambiguity and large-scale transformation, possesses strong operational rigor, has experience scaling global engineering organizations, and is passionate about modern AI-assisted software development and platform engineering.

Requirements

15+ years of software engineering experience in SaaS, AI platforms, cloud infrastructure, hosting or commerce environments
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
Proven 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

Nice To Haves

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

Responsibilities

Guide end-to-end engineering excellence across a portfolio of product and platform teams, shaping how we build, scale, and innovate.
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.