VP of Data Product

This VP role leads product management for data and AI initiatives, defining the product roadmap and driving adoption of data-driven solutions. It requires a blend of product leadership and technical expertise in data/AI.

Owns the product strategy and roadmap for the data platform's extensibility features, enabling customers to build custom integrations and applications. Works with engineering, design, and customers to define requirements and prioritize features.

Leads product analytics, driving data strategy and insights across the organization. Oversees analytics teams and frameworks to inform product decisions and business growth.

Lead and develop a team of four product data analysts dedicated to the core product for sales-driven business, collaborating with three VP/SVP of Product to drive strategic decision-making and optimize product performance. The role is part of the Product Insights department, combining quantitative and qualitative insights to inform the product roadmap, and reports to the Senior Director of Product Insights.

This role leads engineering for Attain's consumer mobile app portfolio, acting as a player-coach who writes code and sets technical direction. The Head will manage a small team, drive shared platform reuse, and represent the consumer business at the executive level. Requires 10+ years of software engineering experience with consumer mobile products and deep backend expertise.

This role owns production ML systems and builds MLOps platform infrastructure for Klover's B2C financial services. The engineer will design and operate pipelines, feature infrastructure, model-serving, CI/CD, and observability to take models from experiment to reliable production. Requires 5+ years of MLOps experience, expertise in GCP/Kubernetes/Terraform, and fluency directing AI coding agents.

This VP-level role owns the scientific methodology behind Attain's measurement products, including causal inference, attribution, and media mix modeling. The leader will set standards for defensibility, represent methodology to clients and partners, and lead a team of data scientists. Requires 10+ years in AdTech/MarTech data science and deep expertise in Bayesian methods and experimental design.