GoDaddy Logo

GoDaddy

Senior Manager - Experimentation Science & AI

Posted 2 Days Ago
Be an Early Applicant
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

Similar Jobs

An Hour Ago
Easy Apply
Remote
USA
Easy Apply
122K-179K Annually
Senior level
122K-179K Annually
Senior level
Consumer Web • Healthtech • Professional Services • Social Impact • Software
As a Business Operations Manager, lead cross-functional initiatives, manage operational workflows, mentor team members, and design scalable systems to improve efficiency and achieve business objectives.
An Hour Ago
Easy Apply
Remote
United States
Easy Apply
151K-189K Annually
Senior level
151K-189K Annually
Senior level
Healthtech • Software • Telehealth
Lead commercialization efforts, develop go-to-market strategies, utilize data analysis for decision making, and build cross-functional relationships to achieve product launch success.
Top Skills: Data AnalysisMarket ResearchProduct Marketing Strategies
3 Hours Ago
Remote or Hybrid
United States
125K-205K Annually
Senior level
125K-205K Annually
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
The Data Engineer will create data pipelines, manage and maintain data architecture, and improve the data processing systems, focusing on automation and efficiency in delivering data insights.
Top Skills: AlteryxAWSC++CassandraDatameerEc2EmrHadoopJavaKafkaNoSQLPostgresPythonRdsRedshiftSASScalaSparkSpark-StreamingSQLStormTrifacta

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account