Senior Principal Product Manager, DoubleVerify

• 8+ years of product management experience, with significant experience in measurement, analytics, or model-driven products
• Deep understanding of marketing measurement approaches (MMM, MTA, incrementality testing, or similar)
• Strong track record of building and scaling data science or ML-powered products
• Highly comfortable working with Data Scientists and Engineers on complex systems and ambiguous problems
• Strong analytical intuition, you can interpret model outputs and connect them to business outcomes
• Experience owning products from 0→1 through scaled adoption
• Excellent communicator, able to translate complex concepts into clear narratives for both technical and non-technical stakeholders
• High ownership mindset with the ability to operate autonomously in a fast-moving environment
• While this role is focused on measurement and modeling, Rockerbox is a small and nimble team. You should be excited to:
• Step outside your core domain when needed
• Contribute to adjacent product areas
• Help shape the broader product strategy as the company evolves

Desirable

• We are looking for a Senior Principal Product Manager to lead this domain
• This role owns the strategy and execution of Rockerbox’s measurement and modeling products, ensuring our methodologies are accurate, trusted, and differentiated in the market. You will work at the intersection of data science, engineering, and customer outcomes, translating complex models into products that drive real business decisions
• This is a high-impact, highly cross-functional role. You will partner closely with Data Science, Engineering, Customer Success, and Go-To-Market teams, and play a key role in shaping how modern marketers measure performance in an increasingly complex ecosystem
• Own the product strategy and roadmap for measurement and modeling, including MMM, Testing, Synthetic modeling, and MTA evolution
• Define how different methodologies work independently and together
• Partner closely with Data Science and Engineering to build and scale model-driven products and systems
• Translate complex modeling concepts into clear product requirements, workflows, and outputs
• Lead products from 0→1 through scaled adoption, balancing innovation with customer and business impact
• Ensure modeling outputs are accurate, explainable, and aligned with customer expectations
• Be a key driver in improving how models are delivered to customers, including speed, quality, and overall customer acceptance
• Partner cross-functionally to evolve the end-to-end modeling delivery process—from configuration and validation to final output and adoption
• Analyze model outputs and large-scale datasets to inform product decisions and prioritization
• Work with Customer Success and Sales to understand customer needs, validate outputs, and close gaps in expectations
• Drive product acceptance and readiness, ensuring what is delivered matches what was promised
• Partner with Product Marketing on positioning and communicating complex measurement concepts clearly
• Stay current on industry trends across measurement, attribution, privacy, and AI, translating them into product opportunities
• Measurement is the foundation of everything we do at Rockerbox
• As signal loss increases and marketing becomes more complex, no single methodology is sufficient. This role is responsible for shaping how we combine and evolve multiple approaches—MMM, MTA, Testing, and beyond—into a cohesive system that customers trust to make decisions
• You will directly influence:
• How customers allocate millions in marketing spend
• How Rockerbox differentiates in a competitive measurement landscape
• How we evolve toward more automated, intelligent, and agent-driven decisioning systems