Note: The job is a remote job and is open to candidates in USA. DoubleVerify is a company that powers a unified measurement platform for marketers. They are seeking a Senior Principal Product Manager to lead the strategy and execution of Rockerbox’s measurement and modeling products, working closely with cross-functional teams to translate complex models into actionable insights for business decisions.
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
Skills
- 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
Benefits
- Bonus/commission (as applicable)
- Equity
- Benefits
Company Overview
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