Senior Engineering Manager [gn] Data Intelligence Platform

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. ### Organizational Strategy & Design - Team Topologies: Expert-level implementation of Stream-aligned, Platform, and Enabling team structures. - Scaling & R&D Architecture: Designing high-growth engineering orgs with a focus on flow and cognitive load management. - Data-Driven Leadership: Utilizing health metrics and efficiency benchmarks to proactively resolve bottlenecks. ### AI & Technical Governance - AI-Driven Engineering: Practical integration of LLMs and Agentic workflows into the SDLC (automated coding, testing, and incident response). - Hands-on Technical Leadership: Strong architectural oversight and design review experience. - Core Stack Expertise: Deep proficiency in Java. - Infrastructure Scalability: Experience with global, high-availability data platforms. ### Operational Excellence - Process Engineering: Designing AI-augmented onboarding, deployment pipelines, and feedback loops. - Product/UX Partnership: Translating complex roadmaps into technical requirements and high-value execution. ### People & Culture - Career Frameworks: Building seniority levels, internal mobility, and growth tracks. - Leadership Mentorship: Coaching Team Leads and identifying high-potential (HiPo) talent. - Managerial Culture: Promoting a "Radical Candor" environment and structured knowledge sharing (Guilds/Tech Talks). ### Required Experience & Skills: - Engineering Roots: 7–10+ years in high-growth SaaS; deep technical acumen (Data Platform experience preferred). - Scale-up Leadership: Proven track record of building and rapidly scaling R&D teams. - AI Enabler: Practical interest or experience in Agentic AI systems to drive team-wide adoption. - Org Design Mastery: Expert grasp of Team Topologies, flow optimization, and architectural alignment. - Modern Management: Fluent in human-centric frameworks like Management 3.0. ### Soft Skills - Strategic & Hands-on: Ability to synthesize high-level strategy into daily operational execution. - Autonomous Ownership: Self-starter with a strong bias for action and a track record of driving complex initiatives to completion. - Influential Communicator: Exceptional skill in aligning stakeholders across Product, Design, and Executive leadership. ### What We Offer: - The chance to be part of an innovative, fast-growing company making a significant impact in the data management space. - Collaboration with a passionate and diverse team. - Competitive salary and benefits package. - Flexible work arrangements (remote or hybrid). - Opportunities for professional growth and development.