VP, Software Engineering
Employer · Diligent
IT manager
R&D managerFull-timeBudapest
As VP of Software Engineering, you lead a global engineering organization across several teams and products within a business domain in Diligent's Technology organization. You lead through Directors and managers, set the technical and organizational strategy, and are accountable for delivery, reliability, security, and the overall performance of the organization. Diligent is an AI-native company, and engineering leads the way. You embed AI-native practices across the software development lifecycle, stand up reusable platform and AI capabilities, and champion the adoption of AI tooling and agentic workflows.
Tasks
- Lead a global engineering organization across several teams and products within a business domain
- Set the technical and organizational strategy
- Embed AI-native practices across the software development lifecycle
- Hire, coach, and develop senior engineering leaders and experts
- Partner as an equal with Product Management to shape the vision, roadmap, and product priorities
Requirements
- Have 15+ years in software engineering, including 5+ years leading large, global engineering organizations through Directors and managers
- Have owned business outcomes for an engineering organization — accountable not just for delivery, but for reliability, security, and overall performance
- Partner as an equal with Product Management to shape vision, roadmap, and priorities, and collaborate closely with UX, Security, Data, and Customer teams
- Have led engineering for enterprise SaaS products at significant scale
- Drive execution with rigor — delivering production-grade systems, balancing speed with security, privacy, and compliance, and prioritizing across multiple concurrent initiatives
- Bring a bias for action and thrive in fast-moving, ambiguous environments, staying focused on measurable business impact
- Are deeply fluent in modern software engineering: cloud-native architecture, platform engineering, microservices and API-first design, DevOps, data platforms, and AI/ML
- Have the technical credibility to earn the trust of senior engineers — engaging in key architecture and technical decisions and challenging constructively
- Champion AI-native ways of working, with a track record of AI adoption and large-scale technology modernization
- Bring a track record of operational excellence and reliability engineering (SLOs, incident management, quality, security) across always-on services
- Design organizations for scale across regions, and plan workforce and budgets against delivery commitments
- Communicate and influence at executive level — bridging engineering and the business and aligning diverse stakeholders around a shared strategy
- Hire, coach, and develop senior engineering leaders and experts, and build diverse, inclusive, high-performing cultures