About this role
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.
Lead Product Data Scientist, Agents
About the Team
Klaviyo's Product Data Science team plays a critical role in shaping how we understand, measure, and improve product and business performance. We partner closely with Product, Engineering, Finance, and Go-to-Market teams to turn complex data into actionable insights that inform product strategy, customer experience, and long-term growth.
As Klaviyo continues to expand its AI-powered capabilities, intelligent agents are becoming central to how businesses engage with their customers. Composer, Klaviyo's AI marketing agent, helps marketers analyze, build, and execute their marketing strategies, while Customer Agent enables brands to engage shoppers and answer questions across channels including chat, email, SMS, and WhatsApp.
These products are evolving rapidly, creating new opportunities and challenges in understanding agent performance, measuring customer value, and connecting AI-driven experiences to meaningful business outcomes.
Our team takes an AI-first approach to data science, leveraging emerging technologies and agentic tools to accelerate analytical workflows, improve decision-making, and focus our efforts on the complex questions that matter most to customers and the business.
About the Role
We're looking for a Lead Product Data Scientist, Agents to own and advance Klaviyo's measurement and data science strategy across Composer and Customer Agent, combining deep technical expertise with strong product and business judgment to influence some of our most important AI investments.
This is a highly visible, hands-on technical leadership role at the intersection of data science, AI product development, and business strategy. You'll define how we measure the adoption, engagement, quality, cost, and business impact of our AI agents, establishing the analytical foundations that help teams understand what creates meaningful customer value.
This isn't just about building dashboards or tracking traditional product metrics. We're looking for someone who can tackle emerging measurement challenges, develop rigorous approaches to evaluating agent performance, and determine whether AI-powered experiences are genuinely improving customer outcomes. You'll combine experimentation, causal inference, and advanced analytics to help leaders make informed decisions in an environment where established measurement frameworks are still evolving.
You'll partner closely with Pro