Jobs at GoDaddy

Build and deploy AI agents, intelligent applications, scalable backend services, APIs, and full-stack solutions. Integrate large language models, AI services, data platforms, and external APIs into customer-focused products. Collaborate with engineering, product, and cross-functional teams while contributing to cloud-native applications, data pipelines, distributed systems, testing, deployment, and production operations.

Lead the design and evolution of infrastructure, platforms, and services that run machine learning workloads in production. Build scalable distributed systems, cloud-native applications, CI/CD pipelines, observability, and ML model-serving infrastructure on AWS. Drive architecture, performance, reliability, cost optimization, and GPU workload management while collaborating with ML scientists, data engineers, and product teams. Mentor engineers and lead complex technical initiatives across a globally distributed organization.

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.

Leads GoDaddy’s end-to-end corporate development and M&A activities, including deal sourcing, investment thesis development, diligence, financial modeling, valuation, negotiation, executive recommendations, and post-merger integration planning. The role requires cross-functional leadership across Finance, Legal, Tax, Strategy, Product, Partnerships, and business teams, plus relationship management with investment banks and industry partners.

Leads GoDaddy’s highest-priority corporate strategy initiatives, addressing growth markets, competitive dynamics, capabilities, resource allocation, partnerships, and M&A. Converts ambiguous executive questions into rigorous analyses, strategic recommendations, business cases, and implementation plans. Advises senior leaders, drives cross-functional initiatives, builds repeatable strategy capabilities, and communicates clear recommendations that produce measurable business outcomes.

Design, build, and maintain highly available APIs and distributed services supporting millions of customers. Manage and optimize AWS cloud infrastructure using Infrastructure as Code, CI/CD, containers, and automation. Improve system performance, reliability, and security; monitor and troubleshoot production issues; apply AI-enabled tools; and collaborate across engineering teams to deliver resilient, customer-focused solutions.

Leads GoDaddy’s Commerce Support organization and strategy for merchant onboarding, activation, adoption, retention, and growth. Oversees customer-facing teams, service delivery, workforce planning, operational performance, and P&L management. Drives AI-enabled support transformation through automation, agent assistance, self-service, analytics, and process modernization. Partners with Product, Engineering, Sales, Risk, and GTM leaders to improve merchant outcomes, increase product adoption, reduce churn, and scale operational efficiency.

Lead requirements and architecture for GoDaddy’s PKI and Certificate Authority platform. Translate CA/Browser Forum standards into technical specifications, compliance automation, testing frameworks, and resilient infrastructure designs. Guide certificate lifecycle automation, HSM and key management, cryptographic modernization, post-quantum migration, API capabilities, and high-availability systems. Partner with security and engineering teams on threat modeling, architecture reviews, documentation, and vulnerability management while mentoring engineers on PKI and cryptography.

Lead a 50+ distributed engineering organization to own identity, authentication, authorization, and profile services. Set technical vision, drive adoption of OAuth/OIDC and OpenFGA, improve reliability and incident response, mentor senior managers, contribute hands-on code and prototypes, and promote safe use of AI-assisted development tools.

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.