About the Role

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.

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.

What You’ll Do

• 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

Who You Are

• 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

What We Prefer

• 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

Why This Role Matters

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

A Note on Scope

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

The successful candidate’s starting salary will be determined based on a number of non-discriminating factors, including qualifications for the role, level, skills, experience, location, and balancing internal equity relative to peers at DV.
The estimated salary range for this role based on the qualifications set forth in the job description is between [$150,000 - $270,000]. This role will also be eligible for bonus/commission (as applicable), equity, and benefits.
The range above is for the expectations as laid out in the job description; however, we are often open to a wide variety of profiles, and recognize that the person we hire may be more or less experienced than this job description as posted.

Not-so-fun fact: Research shows that while men apply to jobs when they meet an average of 60% of job criteria, women and other marginalized groups tend to only apply when they check every box. So if you think you have what it takes but you’re not sure that you check every box, apply anyway!

Who We Are

Rockerbox empowers marketing executives to confidently make data-driven decisions, helping brands such as Tula, Figs, and Burton with the strategic decision-making that drives growth. To do so, Rockerbox offers a unique suite of product lines that centralize data and offer diversified measurement methodologies. The foundation of Rockerbox's solution is data centralization. Atop this foundation, the platform enables marketers to choose from a range of measurement methodologies, giving customers the flexibility to choose the most appropriate approach for their specific needs and questions.
 

As a Senior Software Engineer at Rockerbox, you will play a key role in shaping the systems that power our products. You’ll partner closely with product managers to define requirements, design intuitive data endpoints, and deliver seamless integrations between backend services and user interfaces. This role involves building scalable, reliable solutions that enhance application performance and enable smarter data-driven experiences. If you enjoy working across the stack, crafting optimized structures for UI consumption, and deploying resilient systems with modern technologies, this is the role for you.
 

What You’ll Do

• Work closely with product managers to define product requirements, deliver features, and ensure smooth integration of backend services with user interfaces.
• Design and develop scalable solutions that enhance application functionality, data efficiency, and overall system performance.
• Architect data endpoints using a semantic layer to effectively transform source data into intuitive, optimized structures suitable for UI consumption.

Who You Are

• 7+ years of experience in software engineering. Demonstrated success in building, owning, and maintaining production systems that prioritize reliability, scalability, and performance.
• Strong proficiency in Python, JavaScript with experience building and delivering analysis or dashboarding products.
• Expertise in SQL for data querying, analysis, and database interactions.
• Exposure to React in a professional or educational capacity.
• Experience with orchestration, containerization, and Kubernetes for scalable deployments.
• Effective communicator, capable of clearly conveying complex technical concepts to non-technical stakeholders.

The successful candidate’s starting salary will be determined based on a number of non-discriminating factors, including qualifications for the role, level, skills, experience, location, and balancing internal equity relative to peers at DV.
The estimated salary range for this role based on the qualifications set forth in the job description is between [$107,000 - $193,000]. This role will also be eligible for bonus/commission (as applicable), equity, and benefits.
The range above is for the expectations as laid out in the job description; however, we are often open to a wide variety of profiles, and recognize that the person we hire may be more or less experienced than this job description as posted.

Why You’ll Love Rockerbox: At Rockerbox, you’ll find a fast-paced, results-driven environment where your work has a direct impact on our growth and the success of our clients. Our iterative development process means you’ll see your contributions come to life quickly. You’ll join a supportive, light-hearted team that values collaboration and innovation. We are committed to professional growth and will actively support your development in both technical and business domains.
 

Not-so-fun fact: Research shows that while men apply to jobs when they meet an average of 60% of job criteria, women and other marginalized groups tend to only apply when they check every box. So if you think you have what it takes but you’re not sure that you check every box, apply anyway!

Who Are We

Rockerbox is building the next generation of marketing intelligence, and we're looking for someone to help us build the AI systems everyone else just theorizes about. As a Sr. Software Engineer II in AI Tooling and Interfaces, you'll design and build systems purpose-built for AI agents, automations, and decisioning engines that drive real outcomes for our clients and internal teams. If you enjoy turning high-volume data into clean, powerful systems—and you want your work to drive real business outcomes rather than just dashboards—this role puts you right at the center of the action.

What You'll Do

• Work closely with engineers, product managers, and data teams to identify and prioritize AI opportunities across the organization.
• Translate product requirements into AI-driven solutions that directly impact the client experience.
• Build end-to-end automations using LLMs, internal data, and external signals to eliminate repetitive tasks and unlock new client-facing capabilities.
• Design and implement agentic workflows and orchestration pipelines that automate complex, multi-step processes.
• Design retrieval, orchestration, and memory layers that make our AI agents smarter over time.
• Establish best practices for AI data quality, observability, and safety.

What You Bring

• 6+ years of experience in software engineering, data engineering, or large-scale distributed systems.
• Hands-on experience integrating LLMs into production systems (embeddings, RAG, vector stores, or agent orchestration).
• Strong proficiency in Python and SQL.
• Experience with Kubernetes and container-based infrastructure and deployment.
• You think in systems: storage, retrieval, metadata, reliability, latency, failure modes.
• Ability to work from ambiguity to execution — you're comfortable being the first to figure something out.
• Strong communication skills: you can explain tradeoffs, scope decisions, and technical strategy clearly.

The successful candidate’s starting salary will be determined based on a number of non-discriminating factors, including qualifications for the role, level, skills, experience, location, and balancing internal equity relative to peers at DV.
The estimated salary range for this role based on the qualifications set forth in the job description is between [$107,000 - $193,000]. This role will also be eligible for bonus/commission (as applicable), equity, and benefits.
The range above is for the expectations as laid out in the job description; however, we are often open to a wide variety of profiles, and recognize that the person we hire may be more or less experienced than this job description as posted.

Not-so-fun fact: Research shows that while men apply to jobs when they meet an average of 60% of job criteria, women and other marginalized groups tend to only apply when they check every box. So if you think you have what it takes but you’re not sure that you check every box, apply anyway!

Rockerbox with DoubleVerify empowers marketing executives to confidently make data-driven decisions, helping brands such as Tula, Figs, and Burton with the strategic decision-making that drives growth. To do so, Rockerbox offers a unique suite of product lines that centralize data and offer diversified measurement methodologies. The foundation of Rockerbox's solution is data centralization. Atop this foundation, the platform enables marketers to choose from a range of measurement methodologies, giving customers the flexibility to choose the most appropriate approach for their specific needs and questions. To learn more, visit https://doubleverify.com/products/advertisers/prove

As a Senior Data Scientist, you will take full ownership of statistical modeling, ensuring that marketers have precise actionable insights into campaign effectiveness. This role includes opportunities for exploring new statistical methodologies and applying existing methodologies (with potential refinements) to new datasets. If you enjoy a combination of data wrangling, optimizing statistical models, and working at the intersection of data science and product, this is the role for you.

Responsibilities

• Conduct exploratory data analysis, engineer features in order to build statistically sound models that are interpretable and aligning with domain knowledge
• Adapt, optimize, and iterate on the current modelling packages, modifying open source packages to adapt our need
• Stay up to date with the latest causal inference and experimental design techniques.
• Translate complex business asks into rigorous mathematical problems and, conversely, use data-driven storytelling to communicate mathematical results as clear, actionable business insights to external stakeholders
• Provide code reviews and feedback on system/model design for team members
• Work closely with product and engineering to integrate data science projects into the Rockerbox platform.

Requirements

• 5+ years of industry experience with a BA or BSc in sciences or engineering or 2+ years of industry experience with a MSc or PhD degree in sciences or engineering.
• Strong knowledge of regression modelling, statistical testing and experimental design
• Proficiency in scientific Python stack (NumPy, Pandas, Statsmodels, Matplotlib etc.)

Nice to Haves

• SQL for data wrangling
• Applying Bayesian techniques to predictive modelling problems
• Working with AWS cloud technologies
• Experience using Probabilistic programming libraries, e.g. STAN, PyMC, numpyro 
• Familiarity with marketing analytics concepts such as campaign allocation, measurement or budget optimization.

The successful candidate’s starting salary will be determined based on a number of non-discriminating factors, including qualifications for the role, level, skills, experience, location, and balancing internal equity relative to peers at DV.
The estimated salary range for this role based on the qualifications set forth in the job description is between [$89,000 - $161,000]. This role will also be eligible for bonus/commission (as applicable), equity, and benefits.
The range above is for the expectations as laid out in the job description; however, we are often open to a wide variety of profiles, and recognize that the person we hire may be more or less experienced than this job description as posted.

Please note, there may be in-person interviews at one of our offices.

Why You’ll Love Rockerbox: At Rockerbox, you’ll find a fast-paced, results-driven environment where your work has a direct impact on our growth and the success of our clients. Our iterative development process means you’ll see your contributions come to life quickly. You’ll join a supportive, light-hearted team that values collaboration and innovation. We are committed to professional growth and will actively support your development in both technical and business domains.