Senior Principal Product Manager (Rockerbox)

DoubleVerify

12h

About The Position

Rockerbox powers a unified measurement platform that helps marketers understand, optimize, and grow their business across channels. At the core of this platform are our modeling and measurement systems—spanning Marketing Mix Modeling (MMM), Multi-Touch Attribution (MTA), incrementality testing, and other modeled approaches. 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.

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

Nice To Haves

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

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