Lead Product Data Scientist, Forecasting

Lead Product Data Scientist, Forecasting At Klaviyo, we value the unique backgrounds, experiences, and perspectives each Klaviyo 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. Klaviyo's Product Data Science team plays a critical role in shaping how we understand, measure, and improve 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, financial planning, and long-term growth. As Klaviyo continues to scale its platform, expand its product portfolio, and introduce new AI-powered capabilities, the ability to accurately forecast business outcomes and understand the drivers behind them has never been more important. Our team combines rigorous statistical modeling, advanced analytics, and deep business understanding to help leaders make better decisions. We believe data science should be embedded in the product development lifecycle, influencing strategic investments, identifying opportunities, and enabling teams to move quickly and confidently. We're looking for a Lead Product Data Scientist, Forecasting to own and advance Klaviyo's forecasting capabilities, combining deep technical expertise with strong business judgment to influence some of our most important product and strategic decisions. This is a highly visible, hands-on technical leadership role at the intersection of data science, product strategy, and business performance. You'll lead the development of sophisticated revenue forecasting models, establish rigorous evaluation standards, and help the organization better understand how customer behavior, product investments, pricing decisions, and market dynamics influence business outcomes. This isn't just about building accurate models or reporting on historical trends. We're looking for someone who can connect advanced statistical methods to real business questions, challenge assumptions, investigate unexpected outcomes, and translate complex findings into clear recommendations that shape decisions. You'll work closely with Product, Finance, Engineering, and Go-to-Market leadership to build scalable forecasting systems and self-service analytical capabilities. You'll also help define the technical direction of forecasting at Klaviyo, mentor other data scientists, and establish the methodologies and standards that make forecasting a trusted, repeatable practice across the company. Forecasting is fundamental to how Klaviyo evaluates business performance, makes strategic investments, and plans for the future. As our business and product portfolio become more sophisticated, the ability to understand not just what is happening, but what is likely to happen next and why, is increasingly important. In this role, you'll help establish forecasting as a core organizational capability, shaping the models, methodologies, and analytical standards that inform critical product and business decisions. Your work will directly influence how leaders evaluate growth opportunities, understand customer behavior, measure the impact of product investments, and respond to changing business conditions. This is an opportunity to combine deep technical ownership with meaningful strategic influence, working alongside a highly collaborative data science team to build scalable capabilities that have a lasting impact on Klaviyo's growth and decision-making.