DoubleVerify

Product Manager

• Define and execute a clear product vision aligned with company growth objectives
• Own and evolve the product roadmap across core and emerging product lines
• Partner with Engineering leadership to ensure predictable, high-quality delivery
• Translate customer insights, market dynamics, and revenue goals into actionable product strategy
• Drive cross-functional alignment across Product, Sales, Marketing, and Customer Success
• Establish KPIs to measure product performance and continuously improve outcomes
• Lead, coach, and scale the Product Management team
• Represent Product at the executive level, contributing to strategic planning and prioritization

Senior Director, Product Management

Data Scientist

• 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.

Senior Data Scientist

Data Engineer

• Apply bleeding edge AI theory to the design and implementation of large-scale data systems that feed AI agents and autonomous workflows.
• Use data science techniques to fine-tune, evaluate, and optimize LLMs for marketing-specific tasks: attribution insights, anomaly detection, summarization, classification, and automated recommendations.
• Build end-to-end automations using LLMs, internal data, and external signals to eliminate repetitive human tasks.
• Build AI-driven automations that reduce manual work across Rockerbox and unlock new client-facing capabilities.
• Design retrieval, orchestration, and memory layers that make our AI agents smarter over time.
• Establish best practices for AI data quality, observability, experiments, and safety.
• Lead R&D initiatives: rapid prototyping, experimentation, model evaluations, and productionization.
• Mentor data scientists and engineers across organization to raise the bar on LLM use company-wide.

Senior Director, Product Management

Senior Data Scientist

Staff AI Data Engineer