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GoDaddy is a web services platform that helps individuals and businesses worldwide start, grow, and manage their online presence. GoDaddy employs team members across North America,
Principal Product Manager - Experimentation
Location
United States
Posted
39 days ago
Salary
0
Seniority
Lead
No structured requirement data.
Job Description
Principal Product Manager - Experimentation
GoDaddy
Role Description Join our team at GoDaddy's CTO organization, which runs one of the most sophisticated experimentation programs in e-commerce. As a Principal Product Manager for Experimentation, you will lead the full stack of experimentation initiatives. - Own the product roadmap for GoDaddy's continuous experimentation engine. - Drive expansion to commercial surfaces (paywalls, customer homepage, AI assistant, front-of-store). - Define the strategy for onboarding new business units to dynamic experimentation. - Lead incremental-revenue methodology alignment with Finance. - Define and enforce A/B testing guardrails, post-rollout durability monitoring, and cannibalization controls. - Partner with the experimentation platform team to translate business needs into platform capabilities. - Drive experimentation velocity by setting targets and removing blockers. - Work closely with data engineering, business analysts, and Finance for rigorous experiment analysis. - Act as the primary PM interface for VP-level collaborators and cross-functional partners. - Define and maintain the scorecard for experiment readiness. - Build and communicate the business case for experimentation investments. Qualifications - 5+ years of product management experience in a fast-paced e-commerce or platform environment. - Hands-on expertise designing, running, and interpreting production experiments. - Proficiency in experimentation frameworks and performance metrics. - Demonstrated ability to lead through ambiguity and drive alignment across stakeholders. - Exceptional written and verbal communication skills. Requirements - Strong command of experimentation statistics including p-values, confidence intervals, and sample sizing. - Ability to pressure-test results using self-serve analytics tools (SQL, Tableau, or equivalent). Benefits - Paid time off. - Retirement savings (e.g., 401k, pension schemes). - Bonus/incentive eligibility. - Equity grants. - Participation in employee stock purchase plan. - Competitive health benefits. - Family-friendly benefits including parental leave.
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