Vice President of Engineering Core Developers, GoDaddy

• 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
• We encourage you to apply even if your experience or skillset doesn’t align perfectly with every requirement. We value a wide range of backgrounds and transferable skills, and we are excited to support learning and growth

Desirable

• 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. 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
• Help develop the future of entrepreneurship through AI-native platforms, intelligent experiences, and scalable systems that empower millions of customers worldwide. This is an opportunity to redefine how software is built and experienced in the era of AI
• If you are a deeply technical leader who thrives in ambiguity and large-scale transformation, with strong operational rigor, experience scaling global engineering organizations, and a passion for modern AI-assisted software development and platform engineering we encourage you to apply
• As a senior engineering leader, you will 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

• Submit your resume and/or cover letter in PDF or Docx format