Jobs at GoDaddy

Lead architecture and implementation of large-scale generative, agentic, recommendation, and personalization ML systems. Build end-to-end ML platforms (data pipelines, training, deployment, monitoring, governance), define technical strategy and reusable patterns, and partner with Product, Engineering, Data, and Design to deliver production AI experiences for millions of customers.

GoDaddy invites individuals impacted by layoffs to express interest in job opportunities. Applicants are encouraged to fill out a form for potential roles.

Remote Sales Development Representative responsible for prospecting and qualifying buyers for premium domain names through inbound and outbound outreach. Research targets, build rapport with decision-makers, manage a pipeline, partner with senior sales to advance opportunities, and meet activity and qualified-opportunity goals while using coaching to improve selling skills.

Lead architecture and build platform services for GoDaddy's Internal Developer Platform used by 1,000+ engineers. Design high-scale APIs, infrastructure orchestration, and AI-powered developer tooling. Partner with infrastructure, security, and platform teams. Own production systems (performance, reliability, on-call) and drive technical direction to improve developer productivity across APIs, CLI, and UI.

Lead technical design and architecture of large-scale Ceph clusters, drive capacity planning and major upgrades, resolve complex cross-functional production incidents, establish automation and reliability standards, and mentor engineers on advanced Ceph operations to scale the global storage platform.

Own and maintain reliability, performance, scalability, and capacity of massive Ceph storage clusters. Troubleshoot distributed storage issues, build automation (Python/Shell, SaltStack, Ansible), define observability (SLIs/SLOs, PromQL/LogQL, Grafana), and lead lifecycle initiatives like upgrades, expansions, and migrations.

Lead design, development, and production deployment of ML and generative AI solutions at scale. Drive personalization, pricing, experimentation, agentic AI, and simulation modeling. Partner with engineering and product teams, mentor engineers, influence technical strategy, and measure business impact through data-driven experimentation.

Lead GoDaddy's three-year Generative AI and ML roadmap, architecting and scaling agentic and personalized AI solutions globally. Own end-to-end ML systems, enable rapid experimentation, ensure governance/compliance, and partner across product, engineering, and analytics. Mentor and grow high-performing teams and drive adoption of advanced AI techniques to improve customer experiences and business outcomes.