Director Applied ML AI

GoDaddy

8h•$165,500 - $323,000•Remote

About The Position

At GoDaddy the future of work looks different for each team. Some teams work in the office full-time, others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely. This position may be a hybrid or fully remote position, as decided by your manager. If designated as hybrid, you’ll divide your time between working remotely from your home and an office location, so you should live within commuting distance. If designated as remote, you’ll be working remotely from your home and may occasionally visit a GoDaddy office to meet with your team for events or meetings. Your hiring manager can share more about this role’s hybrid or remote designation. This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands. GoDaddy is not currently considering candidates for this role in California, Seattle, or NYC. Join Our Team We are seeking a Director of AI/ML to architect, define, and drive GoDaddy's three-year strategic roadmap for Generative AI and Machine Learning solutions, focused on personalized customer experiences and outcomes. This leader will deliver the latest Agentic AI and sophisticated ML techniques to craft, integrate, and scale personalized applications globally. If you are driven by deploying AI/ML at enterprise scale, excel in showcasing innovative multi-functional system integrations, and bring experience delivering global intelligent, adaptive solutions that create exceptional value for customers and the business, we invite you to join our mission.

Requirements

8+ years’ validated experience in AI/ML leadership roles, in an agile Technology/SaaS business, with a portfolio of large-scale AI/ML solutions, deployed globally with deep knowledge of industry-standard ML tools, frameworks, and cloud platforms
Familiarity with Claude Code, both in direct use as well as in team adoption.
Confirmed expertise in building Agentic AI applications for customer-facing use cases
Validated background in designing, integrating, and scaling end-to-end AI/ML systems solving recommendations, personalization and related problem areas
Experience working in customer-facing domains with a strong product mindset.
Able to think strategically and implement tactically in a multifaceted, fast-paced environment
Exceptional leadership, communication, and collaborative management skills with a track record of building, leading and mentoring high-performing technical teams

Nice To Haves

Advanced degree in Computer Science, Machine Learning or Artificial Intelligence
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.

Responsibilities

Develop and champion our ambitious vision for AI/ML applications, with clear landmarks to showcase and accelerate global customer growth
Identify and operationalize opportunities to demonstrate Agentic AI - AI agents that autonomously perceive, decide, and act, to create adaptive, intelligent systems that address evolving customer needs
Own the design and implementation of detailed, robust AI/ML pipelines, ensuring reliable data ingestion, model training/deployment, and real-time application across platforms and geographies
Architect AI/ML systems with scalability at the core while enabling rapid experimentation, iterative development, and continuous learning - ensuring consistent application performance, governance, and compliance across diverse regions and multiple customer bases
Partner with engineering, product, data analytics, and domain teams to transform vision into deliverable products, championing methodologies for experimentation, measurement, and iteration
Stay at the forefront of AI/ML and Agentic AI advancements, identifying new technologies and propositions to influence our roadmap and maintain GoDaddy's competitive edge
Develop, inspire, and mentor high-performing, decisive AI/ML teams