AdTechTalent
Engineering1 month agoRemote

DoubleVerify

Senior Manager, Software Engineering - Data Platform & AI Enablement

data platformdatalakedata APIspermissionsAI workflowsLLMautomationengineering managementdata architecturecross-functional leadership

Key details

Salary

Not specified

Employment type

Full-time

Seniority

Senior

Years experience

5-10

Location

USA Unknown-Remote

Full job description

Senior Engineering Manager role leading teams responsible for core data platform, data ingress, datalake adoption, APIs, permissions, and customer-facing data access. Own technical direction and execution for data foundation and access layers. Ensure reliable, timely, scalable client data delivery. Collaborate with Product, Applications, Integrations, Data Science, Customer Success, and DV stakeholders. Improve team efficiency via automation and clear ownership. Manage and retain engineering talent during organizational transition. Requirements include experience managing data platform engineering teams, strong technical judgment in data architecture and access, cross-functional leadership, and strong communication and execution skills.

What you'll do

  • 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

Requirements

  • 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

Tech stack

data platformdata ingressdatalakeData APIspermissions systemsAI-enabled workflowsLLM toolingagentic data accessautomation

Apply now

Ready to take the next step in your career? Click the button below to continue to the application process.

Similar jobs

More roles worth a look

Related opportunities based on specialty and working model so candidates can keep momentum.