Director Product - Developer Experience and UX Platform
$169,000–$253,000 year
RemoteOntario, California, United States
Job Summary
Own GoDaddy's developer experience strategy, driving AI efficiency, automation, and reduced cycle time. Champion modern, agentic workflows using copilots, autonomous agents, intelligent CI/CD, and automated testing. Build the evolution of developer platforms including local development, CI/CD, testing frameworks, and observability. Establish metrics and dashboards for engineering velocity, efficiency, and developer fulfilment. Drive and own the enterprise UX Platform vision, including design systems, component libraries, pattern governance, and accessibility standards. Partner with Product, UX, and AI/ML to enable AI-powered and conversational UX patterns across GoDaddy product surfaces. Ensure cross-product experience consistency across web, mobile, and emerging surfaces. Build UX Platform capabilities that accelerate product teams and uphold GoDaddy's experience quality bar. Define UX Platform health metrics: adoption, consistency, design debt reduction, and experience quality. Align leaders across Product, Engineering, and UX around a unified developer experience and UX Platform roadmap. Build, lead and mentor an influential team spanning platform engineering, UX systems, and AI experience tooling. Be the 'voice' on engineering efficiency, UX consistency, and platform strategy, driving a culture of data-driven decision-making, experimentation, and continuous improvement.
Required Qualifications
- 10+ years in product management across platform engineering, developer efficiency, or platform design systems in a global SaaS/technology organisation
- Direct proven experience improving engineering efficiency, while enhancing UX quality
- 7+ years as a direct people manager, able to motivate, develop and coach teams and support people development across the organization
- Strong interpersonal skills able to demonstrate data to influence senior leadership
- Experience in deploying AI copilots, agentic workflows, or LLM powered interfaces, with large-scale design systems, UX governance, or multi-product experience frameworks
- Shown success owning end-to-end developer platforms and/or enterprise UX platforms with deep understanding of SDLC, developer workflows, cloud architectures, and multi-surface UX design
- Strong technical credibility, able to work and lead cross functionally with product, engineering and UX design
- Own GoDaddy's developer experience strategy, driving AI efficiency, automation, and reduced cycle time
- Champion modern, agentic workflows, using copilots, autonomous agents, intelligent CI/CD, and automated testing
- Build the evolution of developer platforms including local development, CI/CD, testing frameworks, and observability
- Establish metrics and dashboards for engineering velocity, efficiency, and developer fulfilment
- Drive and own our enterprise UX Platform vision, including design systems, component libraries, pattern governance, and accessibility standards
- Partner with Product, UX, and AI/ML to enable AI-powered and conversational UX patterns across GoDaddy product surfaces
- Ensure cross-product experience consistency across web, mobile, and emerging surfaces
- Build UX Platform capabilities that accelerate product teams and uphold GoDaddy's experience quality bar
- Define UX Platform health metrics: adoption, consistency, design debt reduction, and experience quality
- Align leaders across Product, Engineering, and UX around a unified developer experience and UX Platform roadmap
- Build, lead and mentor an influential team spanning platform engineering, UX systems, and AI experience tooling
- Be the 'voice' on engineering efficiency, UX consistency, and platform strategy, driving a culture of data-driven decision-making, experimentation, and continuous improvement
- This is a remote position, so you'll be working remotely from your home
- You may occasionally visit a GoDaddy office to meet with your team for events or meetings
Desired Qualifications
- Experience in deploying AI copilots, agentic workflows, or LLM powered interfaces, with large-scale design systems, UX governance, or multi-product experience frameworks
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