Principal Product Manager, Experimentation Platform
New
J
JobgetherSoftware Development
United States, East Coast and West Coast time zonesFull-TimePrincipal
SalaryAnticipated U.S. base salary range of $187,900–$260,000
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Job Details
- Experience
- 7+ years of product management experience
- Required Skills
- Machine LearningProduct ManagementData scienceData analytics
Requirements
- Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related discipline, or equivalent practical experience.
- 7+ years of product management experience.
- Proven experience owning strategy and roadmaps for technically complex software, platform, infrastructure, data, or developer-facing products.
- Experience partnering with Engineering, Data Science, Machine Learning, or Analytics teams on technical architecture and delivery.
- Demonstrated ability to apply quantitative methods such as statistics, experimentation, or data science to product development.
- Experience developing platforms that support Machine Learning or AI workflows, particularly around deployment, measurement, or experimentation.
- Strong knowledge of experimentation methodologies, including randomized experiments, feature flags, model experimentation, and metric design.
- Ability to translate shared technical capabilities into platform strategies.
- Excellent communication skills for explaining technical concepts to diverse stakeholders.
- Proven ability to build alignment and influence stakeholders within a distributed organization.
Responsibilities
- Define and drive the strategy and roadmap for the experimentation platform, balancing immediate business priorities with a scalable long-term vision.
- Partner with Machine Learning, Analytics, Engineering, and Product teams to develop shared experimentation capabilities including randomized experiments and feature flags.
- Establish common abstractions, standards, and guardrails to improve experimentation quality and reduce fragmentation.
- Build and guide a center of excellence by defining best practices and strengthening methodological rigor.
- Work with stakeholder groups to identify opportunities, prioritize investments, and drive adoption of shared platform capabilities.
- Shape experimentation technology strategy by evaluating external vendors and internal development opportunities.
- Influence technical and product decisions across multiple teams to connect infrastructure to business outcomes.
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