Experts
Senior Manager – Experimentation Science & AI in IT & DevOps Department
in GoDaddy - United States, Arizona

Remote
Full-time
Senior
Permanent

Job description

See job offer description.


The Senior Manager of Experimentation Science & AI at GoDaddy will lead the development and strategic execution of AI-driven experimentation methodologies, focusing on reinforcement learning and simulation environments. The role requires supervising and mentoring scientists and engineers, promoting rigorous experimentation, and collaborating with product, engineering, and business teams to translate research into scalable, production-ready experimentation solutions. This position is remote with occasional visits to the office and excludes candidates from certain US states. The candidate will be responsible for defining and driving the AI experimentation roadmap, ensuring alignment with organizational goals and business impact, fostering a culture of innovation and technical excellence, and supporting data-informed decision-making across diverse product areas. Required experience includes managing high-performing teams, expertise in experimentation methodology, software development, reinforcement learning, and statistical principles, along with the ability to communicate complex concepts to diverse audiences. A Master’s degree in computer science or related fields is preferred. GoDaddy values diversity, equity, and inclusion and offers competitive benefits including paid time off, retirement plans, bonuses, equity grants, health benefits, parental leave, and employee resource groups. The company’s mission is to empower entrepreneurs worldwide by providing tools and support for online success, emphasizing a diverse and inclusive work culture and equitable practices. The role is categorized under the engineering department and is a permanent, full-time position operating remotely with hybrid work options available. The ideal candidate will have a minimum of 3 years of leadership experience, 5 years in related technical fields, and a strong background in experimentation platforms and data analytics.

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Benefits

  • Paid time off
  • Retirement savings (e.g., 401k)
  • Bonus/incentive eligibility
  • Equity grants
  • Employee stock purchase plan
  • Competitive health benefits
  • Parental leave
  • Employee resource groups

Job requirements

  • 3+ years managing and leading teams
  • 5+ years in experimentation methodology and reinforcement learning
  • 2+ years with experimentation platforms and data pipelines
  • Strong understanding of statistical principles and experimental design
  • Experience communicating complex concepts
  • Master’s degree in computer science or quantitative fields (preferred)