Senior Engineering Manager [gn] Data Intelligence Platform
Core
Lead a high-seniority team of 12 to bridge organizational strategy and hands-on AI integration within the SDLC for an Agentic AI-driven data intelligence platform.
Role type
Senior Engineering Manager (Data Intelligence Platform)
Builds
Agentic AI-driven data intelligence platforms for mission-critical operations at world-class organizations
Domain
Hybrid data management and high-performance cloud warehousing
Deliverable
infrastructure
Required skills
strategic leadership, team leadership (12+ senior engineers), AI integration within SDLC, bridging strategy and execution
Preferred skills
experience with Team Topologies, knowledge of Agentic AI
Technologies
Agentic AI, hybrid data management, cloud warehousing
Responsibilities
Lead a high-seniority team of 12, bridge the gap between high-level organizational strategy and hands-on AI integration, influence the implementation of an AI-first data intelligence future
Seniority
Senior, hands-on IC with team leadership
Full job description
About Actian: Data at the Core, Innovation by Nature
Actian is more than just a data management company; we are the architects of data intelligence for a hybrid, cloud-centric world. As a recognized global leader in hybrid data management and high-performance cloud warehousing, our platforms are the backbone for mission-critical operations at world-class organizations including Bloomberg, Intuit, Lufthansa, and Citibank.
We empower these enterprises to solve the most complex data challenges on the planet, driving real-time decision-making at massive scale. We aren't just scaling; we are fundamentally re-architecting how we build software by moving into Agentic AI-driven engineering. Reporting directly to the VP of Engineering, you will lead a high-seniority team of 12, bridging the gap between high-level organizational strategy (Team Topologies) and hands-on AI integration within our SDLC. We offer a dynamic, challenging environment where your strategic leadership will directly influence the implementation and success of this AI-first data intelligence future.
