Senior Manager, Software Engineering - Data Platform & AI Enablement
DoubleVerify · New York, NY · 3 wk ago
RemoteRemoteEngineeringFull-time
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.
Required Qualifications
- 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.
- Able to operate at broader organizational scope beyond a single functional team.
- Strong people leadership, communication, and execution skills.
Preferred Qualifications
- 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.