1 день назад
Principal Product Manager (Experimentation Platform)
187 900 - 260 000$
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Описание вакансии
Текст:
TL;DR
Principal Product Manager, Experimentation Platform (Experimentation/AI): Building shared experimentation platform foundations for product, engineering, analytics, and machine learning teams with an accent on randomized experiments, model deployment, feature flags, measurement, and scalable platform standards. Focus on defining roadmaps, establishing methodological guardrails, building a center of excellence, and aligning experimentation capabilities with broader product and business priorities.
Location: United States; remote work with in-person team meetings once or twice per quarter. Teams operate across East Coast and West Coast time zones.
Salary: $187,900–$260,000 annual U.S. base salary, plus target bonus opportunities and annual equity grants.
Company
provides an AI-powered matching process for connecting candidates with partner companies and managing application screening.
What you will do
- Define and drive the strategy and roadmap for a scalable experimentation platform.
- Develop shared capabilities for randomized experiments, model deployment, feature flags, measurement, and emerging experimentation patterns.
- Establish common abstractions, standards, and guardrails to improve experimentation quality and reduce fragmentation.
- Build and guide a center of excellence that promotes rigorous experimentation practices across the organization.
- Partner with Growth, Servicing, Capital, Product, Engineering, Analytics, and Machine Learning stakeholders to prioritize investments and drive adoption.
- Evaluate vendors and internal development opportunities while influencing experimentation technology and product decisions across multiple teams.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field, or equivalent practical experience, plus 7+ years of product management experience.
- Experience owning strategy and roadmaps for technically complex software, platform, infrastructure, data, or developer-facing products.
- Strong collaboration experience with Engineering, Data Science, Machine Learning, or Analytics teams on architecture, tradeoffs, prioritization, and delivery.
- Experience applying statistics, experimentation, analytics, or data science to product decisions.
- Experience developing platforms supporting Machine Learning or AI workflows, especially deployment, measurement, or experimentation.
- Strong knowledge of randomized experiments, feature flags, model experimentation, metric design, and statistical evaluation, with excellent communication and stakeholder alignment skills.
Nice to have
- Experience building or leading an experimentation platform in a consumer technology environment or at an experimentation technology provider.
Culture & Benefits
- Remote-first work with regular in-person team events and company-wide updates.
- Target bonus opportunities, quarterly-vesting annual equity grants, and an employee stock purchase plan for eligible U.S. employees.
- Medical, dental, vision, wellness, life insurance, disability coverage, and eligible Health Savings Account contributions.
- Paid time off, sick leave, company holidays, family and parental leave, and caregiving support.
- Productivity and wellness allowances, financial wellness resources, employee assistance, and employee resource groups.
Hiring process
- Applications are screened through an AI-powered matching process.
- The hiring company manages interviews, assessments, and subsequent application steps.
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