Senior Principal Product Manager (Rockerbox)

DoubleVerify is a company that powers a unified measurement platform helping marketers optimize their business across channels. They are seeking a Senior Principal Product Manager to lead the strategy and execution of their measurement and modeling products, ensuring accuracy and differentiation in the market while collaborating with cross-functional teams.

Responsibilities:

• 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

Requirements:

• 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
• Experience in AdTech, MarTech, or measurement platforms
• Familiarity with concepts like causal inference, statistical modeling, or experimentation design
• Hands-on exposure to AI/ML workflows or data science tooling
• Experience working with large datasets (SQL, Python, etc.)
• Experience partnering closely with customer-facing teams on product validation and rollout