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GoDaddy

Senior Manager - Experimentation Science & AI

Posted 5 Days Ago
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Remote
Hiring Remotely in United States
Senior level
Remote
Hiring Remotely in United States
Senior level
Lead the Applied ML team's experimentation efforts, mentoring scientists and engineers to improve AI-driven methodologies and collaboration across various product areas.
The summary above was generated by AI

Location: United States

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 is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings.  

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 looking for an experienced leader in experimentation methodology to join our core Applied ML team. The Applied AI and Machine Learning team handles large-scale data to support many business areas. We develop a cohesive navigation experience across channels and web pages. Our goal is to simplify and improve the shopping experience for everyday entrepreneurs worldwide, helping them quickly find what they need on our website.

In this leadership role, you will enhance the strategic direction of our experimentation methodology efforts. You will use simulations and reinforcement learning, ensuring consistency with business objectives, and supporting cross-functional teams in data-informed experimentation solutions. You will guide teams working at the intersection of large-scale foundation models, multi-agent systems, and RL-based optimization, encouraging a culture of collaboration, innovation, and technical excellence.

What you'll get to do...

  • Define and drive the strategic roadmap for AI driven experimentation methodology, aligning initiatives with organizational goals and business impact
  • Supervise and mentor teams of scientists and engineers, providing technical guidance and career development
  • Promote meticulous experimentation, including the development of simulation environments and robust evaluation frameworks using machine learning and RL
  • Collaborate with product, engineering, and business teams to translate research outcomes into scalable, production-ready experimentation solutions
  • Facilitate knowledge sharing and cultivate a collaborative, innovative environment across the Applied ML team and broader organization

Your experience should include...

  • 3+ years of professional experience managing and leading high-performing teams, including mentoring and coaching team member to achieve organizational goals
  • 5+ years of professional experience in experimentation methodology, Reinforcement Learning, and software development 
  • 2 + years of professional with experimentation platforms, data pipelines, and analytical tools to guide methodological rigor
  • A deep understanding of statistical principles, causal inference, and experimental design for large-scale digital products
  • A track record of partnering effectively with experimentation platform teams, product managers, and business stakeholders to drive data-informed decision-making
  • 5+ years of professional experience translating complex statistical concepts into actionable insights for technical and non-technical audiences
  • The ability to define and implement a vision for experimentation best practices across diverse product areas

You might also have...

  • Master’s in computer science or equivalent quantitative fields

We've got your back...  We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits including parental leave. GoDaddy’s benefits vary based on individual role and location and can be reviewed in more detail during the interview process.

We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way. 

About us...  GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us. 

At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that’s not enough to build true equity and belonging in our communities. That’s why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It’s the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page.

GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements.Refer to our full EEO policy.

Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to [email protected]

Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

GoDaddy doesn’t accept unsolicited resumes from recruiters or employment agencies.

Top Skills

Analytical Tools
Data Pipelines
Experimental Design
Machine Learning
Reinforcement Learning
Statistical Principles

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