Senior Engineering Manager [gn] Data Intelligence Platform

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.