Principal Product Manager - Experimentation
New
G
GoDaddyE-commerce
United States, RemoteFull-TimePrincipal
Salary not disclosed
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Job Details
- Experience
- 5+ years
- Required Skills
- SQLAgileProduct ManagementTableauA/B testing
Requirements
- 5+ years of product management experience in a fast-paced e‑commerce or platform environment
- Direct ownership of experimentation programs or growth platforms
- Responsibility for backlog prioritization, feature requirements, and agile execution
- Hands-on expertise designing, running, and interpreting production experiments (A/B tests, multi‑armed bandits, or sequential testing)
- Strong command of experimentation statistics including p‑values, confidence intervals, power analysis, sample sizing, and guardrail metric design
- Proficiency in experimentation frameworks and performance metrics (incremental revenue, conversion and attach rates, revenue per visitor, post‑rollout durability)
- Ability to pressure‑test results using self‑serve analytics tools (SQL, Tableau, or equivalent)
- Demonstrated ability to lead through ambiguity and drive alignment across Engineering, Finance, and senior business stakeholders on high‑stakes, data‑driven decisions
- Exceptional written and verbal communication skills
- Proven ability to synthesize complex experimental outcomes into clear, compelling business narratives for VP‑level audiences
- Direct experience working with or owning a multi‑armed bandit, reinforcement learning, or dynamic optimization system in production environments (nice to have)
Responsibilities
- Own the product roadmap for GoDaddy's continuous experimentation engine: drive expansion to commercial surfaces (paywalls, customer homepage, AI assistant, front-of-store) and define the strategy for onboarding new business units to dynamic experimentation.
- Lead incremental-revenue methodology alignment with Finance to establish revenue impact that Finance can recognize; partner with senior leadership to define and standardize how experiment value is measured and reported.
- Define and enforce A/B testing guardrails, post-rollout durability monitoring, and cannibalization controls across the commercial experimentation portfolio.
- Partner with the experimentation platform team to translate business needs into platform capabilities: experiment types, cohort structures, scoring logic, metric definitions, and kill criteria.
- Drive experimentation velocity: set targets, remove blockers, reduce cycle time from experiment build to conclusive result, and track efficiency across the portfolio.
- Work closely with data engineering, business analysts, and Finance to ensure experiment analysis is statistically rigorous and commercially interpretable.
- Act as the primary PM interface for VP-level collaborators and cross-functional partners across engineering, eCommerce, front-of-store, pricing ML, business analytics, and data engineering on all matters related to the experimentation program.
- Define and maintain the scorecard for experiment readiness: intake and prioritization criteria, go/no-go decision rights, steering committee alignment, and collaborator sign-offs.
- Build and communicate the business case for experimentation investments, connecting platform capability to realized business impact.
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