Summary
The Senior Engineering Manager, Data Foundation & Data Access will lead the teams responsible for Rockerbox’s core data platform, data ingress, datalake adoption, APIs, permissions, and customer-facing data access patterns.
This role owns the connection between foundational data systems and the application/API layers that make that data usable by internal teams, customers, and 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.
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.
Ability 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.
Success Measures
Clear ownership across Data, APIs, permissions, and customer-facing access.
Reliable and timely client data delivery.
Faster execution on AI-enabling Data API initiatives.
Broader datalake adoption across internal teams.
Reduced dependency bottlenecks between Data and Applications.
Improved engineering capacity through automation.
Strong retention and development of critical engineering talent.
Skills Required
- 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.
DoubleVerify Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about DoubleVerify and has not been reviewed or approved by DoubleVerify.
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Fair & Transparent Compensation — Salary ranges are posted for U.S. roles and annual pay‑equity analyses are conducted, signaling structured and transparent pay practices. Pay for many technical and product roles is considered competitive with clear bands visible on postings.
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Healthcare Strength — Health coverage is described as comprehensive, with medical, dental, vision, and global mental‑health resources. Wellness support includes designated mental wellness days and related activities.
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Leave & Time Off Breadth — Self‑directed (unlimited) PTO expands flexibility beyond standard accruals. Quarterly wellness or recharge days further reinforce planned time away.
DoubleVerify Insights
What We Do
DV is powering the new standard of marketing performance, giving advertisers clarity and confidence in their digital investment. Built on best practices, DV solutions create value for media buyers and sellers by bringing transparency and accountability to the market, ensuring ad viewability, brand safety, fraud protection, accurate impression delivery and audience quality across campaigns to drive performance. Since 2008, DV has helped hundreds of Fortune 500 companies gain the most value out of their media spend by delivering best in class solutions across the digital ecosystem that help build a better industry. Learn more at doubleverify.com.
