About the role
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.
Compensation
Additional Information
Why Join Us? At Actian, we are passionate about innovation and teamwork. This role is perfect for someone who thrives in a dynamic environment, loves creating an efficient and welcoming workspace, and enjoys working closely with a talented team.
Interested? We’d love to hear from you! Let’s discuss how you can contribute to our success while growing your career with us.
We value diversity at our company. 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.