Director of Technical Program Management, GoDaddy

• 10+ years in technical program management in a technology driven business, including 5+ years leading sophisticated, cross-functional AI/data programs that demonstrate measurable business results
• Strong technical expertise in AI/ML (including ML Ops, Agentic AI), cloud platforms (AWS, Azure), and agile methodologies. Hands-on experience with modern development tools (Jira, Confluence, DevOps platforms, microservices, architecture and CI/CD)
• Depth in Data and AI Expertise, implementing data streaming pipelines, unified data stores, and ML inference and serving technologies
• Proven leadership with the ability to mentor senior team members and drive business growth and lead diverse teams across multiple locations. Able to translate sophisticated technical concepts for various collaborators, with prowess in executive reporting and process improvement initiatives
• Sophisticated skills in project planning, execution, budget management, risk assessment, and partner communication, and RACI development

Desirable

• GoDaddy’s Data and Analytics team is looking for a visionary Technical Program Management Director to lead enterprise-scale programs in ML, Gen AI, and Data Engineering
• Playing a key role in driving cross-functional initiatives from concept to execution, that drive innovation, aligned with our technical delivery and business strategy, and deliver measurable outcomes
• Join GoDaddy and lead innovative AI and data initiatives, driving innovation by leading and influencing impactful strategies at scale, owning high-visibility programs which drive the strategic direction of GoDaddy
• Lead Strategy: Develop and communicate the roadmap for AI and Data Platform projects, ensuring alignment with GoDaddy’s vision of collaborating with global teams
• Drive Operational Perfection: Build and improve program management processes, mentor senior TPMs, and influence the velocity of AI/ML initiatives
• Champion AI Initiatives: Orchestrate Generative and Agentic AI initiatives, implementing platforms that handle large-scale LLM requests and reducing time-to-market by crafting upskilling programs to boost adoption
• Operating Model Improvement: Design and implement solutions that integrate personalized recommendation engines and unified ranking frameworks to optimize customer experiences while reducing operational costs
• Champion Teamwork: Partner with Product and Engineering leaders, defining project scope, set objectives and key results, manage risks, and deliver high-quality, new impactful products and initiatives