Note: The job is a remote job and is open to candidates in USA. DoubleVerify is seeking a Senior Engineering Manager for their Data Foundation & AI Data Access team. This role will lead the teams responsible for the core data platform and ensure effective data delivery and access for internal teams and customers, while also focusing on AI-enabled workflows.

Responsibilities

• Lead engineering teams responsible for data ingress, pipelines, datalake adoption, Data APIs, permissions, and data access interfaces
• Own execution and technical direction across Rockerbox’s data foundation and customer-facing data access layers
• Ensure reliable, timely, and scalable client data delivery
• Align ingestion, aggregation, API access, permissions, and AI-enabled data workflows under clear ownership
• Partner with Product, Applications, Integrations, Data Science, Customer Success, and DV stakeholders on platform strategy
• Enable internal teams and customers to access Rockerbox data through APIs, CLI tooling, and future agentic workflows
• Improve team efficiency through automation, reduced maintenance burden, and clearer ownership
• Manage, develop, and retain engineers through a period of organizational transition
• Reduce bottlenecks between Data, Applications, and customer-facing product development

Skills

• Experience managing engineering teams responsible for data platforms, pipelines, APIs, or infrastructure
• Strong technical judgment across data architecture, data reliability, and application-facing access patterns
• Proven ability to lead cross-functional initiatives across Engineering, Product, Data Science, and Customer Success
• Track record of delivering platform improvements with measurable business impact
• Ability to operate at broader organizational scope beyond a single functional team
• Strong people leadership, communication, and execution skills
• Experience with datalake or warehouse adoption across multiple teams
• Experience building Data APIs, permissions systems, or customer-facing data access layers
• Experience with AI-enabled workflows, LLM tooling, or agentic data access patterns
• Experience reducing operational load through automation
• Familiarity with marketing analytics, MTA, MMM, testing, and customer data platforms

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