Senior Engineering Manager [Gn] Data Intelligence Platform
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Job description
About Actian: Data at the Core, Innovation by NatureActian 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 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.Location: Remote (EU/UK).Designing high-growth engineering orgs with a focus on flow and cognitive load management.Data-Driven Leadership: AI-Driven Engineering: Practical integration of LLMs and Agentic workflows into the SDLC (automated coding, testing, and incident response).Core Stack Expertise: Deep proficiency in Java .Experience with global, high-availability data platforms.Process Engineering: Designing AI-augmented onboarding, deployment pipelines, and feedback loops.Product/UX Partnership: Translating complex roadmaps into technical requirements and high-value execution.Engineering Roots: 7-10+ years in high-growth SaaS; deep technical acumen (Data Platform experience preferred).The chance to be part of an innovative, fast-growing company making a significant impact in the data management space.Flexible work arrangements (remote or hybrid).Opportunities for professional growth and development.All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying.
Requirements
Data-Driven Leadership: AI-Driven Engineering: Practical integration of LLMs and Agentic workflows into the SDLC (automated coding, testing, and incident response). Core Stack Expertise: Deep proficiency in Java . Experience with global, high-availability data platforms. Process Engineering: Designing AI-augmented onboarding, deployment pipelines, and feedback loops. Product/UX Partnership: Translating complex roadmaps into technical requirements and high-value execution. Engineering Roots: 7-10+ years in high-growth SaaS; deep technical acumen (Data Platform experience preferred). The chance to be part of an innovative, fast-growing company making a significant impact in the data management space.