Senior Product Manager

Responsibilities

• Own and drive AI-enabling product strategy for Rokt’s Customer Data Platform — ensuring the platform delivers high-quality, high-fidelity data signals that improve advertiser match rates, attribution accuracy, and ROAS across channels.
• Lead the roadmap for AI-powered data quality: design and ship advanced anomaly detection, threshold alerting, and real-time self-service monitoring dashboards that proactively surface data quality issues before they degrade downstream model performance.
• Define the roadmap for advanced observability: third-party monitoring integrations and pipeline anomaly detection, meeting the enterprise-grade infrastructure expectations of Rokt’s Top 200 Partner clients.
• Set vision and lead a cross-functional team of engineers and designers to deliver the Core CDP roadmap on time with excellent execution.
• Ensure alignment with senior stakeholders and executives across departments; make critical decisions to steer the platform as Rokt’s AI stack scales.
• Define and achieve OKRs across AI observability, data quality, integration coverage, and platform reliability.

Requirements

• 6+ years of experience in technical roles within high-technology companies.
• 3+ years of product management experience, ideally owning data infrastructure or AI/ML-adjacent products.
• Deep experience with AI/ML platforms, data pipelines, or ML infrastructure — you understand what “good” training data looks like and how data quality directly impacts model performance and advertiser outcomes.
• Hands-on experience with anomaly detection, data observability tools, or AI-driven monitoring products (e.g., Monte Carlo, Bigeye, or similar).
• Demonstrated ability to lead cross-functional teams, mentor junior product managers, and drive cross-organizational efforts to achieve business objectives.
• Strong preference for deep experience in one or more of: Adtech, Cloud Data Warehouse, Identity Resolution, Data Science, or AI/ML.
• Ability to collaborate with engineers on technical architecture decisions (e.g., ML pipeline design, event forwarding prioritization) as well as leading commercial conversations with clients and vendors.

Nice-to-Haves

• Deep experience in Adtech, Cloud Data Warehouse, Identity Resolution, Data Science, or AI/ML.

Compensation

Target total compensation ranges from $335k - $400k, comprised of a fixed annual salary of $210k - $260k, plus employee equity plan grant. In addition, you will receive world-class employee benefits.