Senior Product Manager, Analytics Platform

Klaviyo•Boston, MA

About The Position

At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. At Klaviyo, we believe data is the foundation of great marketing. Our platform helps businesses turn customer data into actionable insights and personalized experiences across channels. As we continue to expand into the enterprise market and build more intelligent marketing systems, analytics plays an increasingly critical role in helping our customers measure impact, make better decisions, and drive growth. We’re looking for a Senior Product Manager to lead a set of foundational analytics capabilities that power how customers understand performance across the Klaviyo platform. This role will own several core areas within our Reporting Platform and Marketing Analytics ecosystem, including attribution, experimentation infrastructure, benchmarking insights, and anomaly detection. This is a highly technical and analytically complex role that sits at the intersection of product management, data science, platform infrastructure, and customer experience. You’ll partner closely with engineering, data science, design, and go-to-market teams to deliver trusted analytics capabilities that enable customers to measure what matters and optimize their marketing strategies. This role is part of Klaviyo’s Analytics organization and offers the opportunity to shape foundational capabilities that support some of the company’s most important strategic initiatives, including Enterprise expansion, Omnichannel marketing, and AI-driven automation.

Requirements

You have 5+ years of product management experience, with a strong focus on data-driven or analytics-heavy products.
You have experience building or owning analytics, experimentation, data platform, or measurement products.
You are comfortable working closely with engineers and data scientists on complex technical systems such as data pipelines, attribution models, and experimentation infrastructure.
You have a strong understanding of experimentation frameworks, A/B testing, and causal measurement.
You are experienced translating complex data and analytics concepts into intuitive product experiences.
You have strong product judgment and can navigate ambiguous problem spaces while defining clear strategies and priorities.
You are a strong communicator who can align cross-functional teams around a shared vision.
You are comfortable working in fast-moving environments and enjoy solving analytically complex product problems.

Nice To Haves

Experience with marketing analytics, attribution modeling, or customer data platforms.
Experience working with enterprise-scale data systems or analytics platforms.
Familiarity with statistical analysis, experimentation design, or data science workflows.
Experience working with anomaly detection systems, ML-powered insights, or AI-driven analytics.
Experience working on SaaS products used by marketing teams or growth organizations.

Responsibilities

Own key areas of Klaviyo’s Reporting Platform and Marketing Analytics capabilities, including attribution modeling, experimentation infrastructure, benchmarking insights, and anomaly detection.
Define and execute product strategy for how Klaviyo measures and surfaces marketing performance across channels, campaigns, and customer touchpoints.
Lead the evolution of Klaviyo’s A/B testing and experimentation infrastructure, including global holdout groups and incremental lift measurement that helps customers understand true causal impact.
Own peer benchmarking capabilities that allow customers to contextualize their performance against relevant cohorts and industry standards.
Drive the evolution of anomaly detection systems from rule-based alerts toward more intelligent, AI-driven signals that surface meaningful insights while reducing noise.
Partner closely with engineering and data science teams to design scalable analytics systems that are trustworthy, performant, and enterprise-grade.
Collaborate with design to translate complex analytical concepts into intuitive product experiences customers can easily understand and act on.
Work cross-functionally with product, engineering, data science, and go-to-market teams to ensure analytics capabilities support customer needs and strategic business priorities.
Potentially expand ownership into customer insights analytics, including foundational capabilities such as RFM models, cohort analysis, funnels, and segment analytics.
Serve as a partner to the Data Enablement team to help prioritize foundational datasets and data models that unlock analytics, machine learning, and AI innovation across the platform.