Jobs · Engineering

Director Applied AI ML

GoDaddy · United States · 1 mo ago
RemoteRemoteEngineering$215k–$323k/yrFull-time

About the role

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.

Responsibilities

  • Strategic Vision and Roadmap: Develop and champion our ambitious vision for AI/ML applications, with clear landmarks to showcase and accelerate global customer growth
  • Agentic AI Leadership: 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
  • End-to-End System Integration: 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
  • Scalable Global Solutions and Rapid Experimentation: 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
  • Multi-functional Collaboration: Partner with engineering, product, data analytics, and domain teams to transform vision into deliverable products, championing methodologies for experimentation, measurement, and iteration
  • Innovation and Research: 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
  • Mentoring and Team Development: Develop, inspire, and mentor high-performing, decisive AI/ML teams

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

Qualifications

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

Skills

  • Strong understanding of AI/ML concepts and technologies
  • Experience with machine learning frameworks and tools (e.g., TensorFlow, PyTorch)
  • Knowledge of cloud platforms (e.g., AWS, Google Cloud, Azure)
  • Experience with data science and analytics
  • Ability to lead cross-functional teams
  • Excellent communication and collaboration skills

Benefits

  • Competitive compensation
  • Comprehensive benefits package including medical, dental, and vision insurance, a 401(k)-retirement plan, paid sick time, paid flexible time off, paid parental leave, life insurance, short- and long-term disability, AD&D insurance, mental health or EAP programs, remote or hybrid work options, paid holidays, paid Wellness days, tuition assistance, adoption, surrogacy, and fertility benefits, dependent daycare and backup care benefits, Employee stock purchase plan, financial education and advice; and other benefits in accordance with GoDaddy’s benefit plans and applicable law

Pay

The estimated pay ranges for this role are listed below. In addition to base pay, this role may be eligible for other forms of compensation, which may include a corporate bonus and/or equity awards, subject to the terms of applicable plans and individual eligibility.

Schedule

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.

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