8 часов назад
VP, Software Engineering (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
VP, Software Engineering (AI): Leading a global engineering organization building enterprise SaaS products for governance, risk, and compliance with an accent on AI-native development, organizational scale, reliability, security, and business outcomes. Focus on shaping product strategy with Product Management, modernizing platforms, building AI capabilities, and delivering production-grade systems across distributed teams.
Location: Budapest, Hungary. Hybrid work model with an expectation to work onsite at least 50% of the time for employees within commuting distance of a office.
Company
provides AI-native governance, risk, and compliance SaaS solutions used by more than 1 million users and 700,000 board members.
What you will do
- Lead a global engineering organization across multiple teams, products, and regions through Directors and managers.
- Set technical and organizational strategy and partner with Product Management on product vision, roadmaps, and priorities.
- Deliver production-grade enterprise SaaS systems with strong security, privacy, compliance, reliability, and operational performance.
- Embed AI-native practices across the software development lifecycle and build reusable platform and AI capabilities.
- Hire, coach, and develop senior engineering leaders while scaling the organization, workforce, and budgets.
- Represent Engineering in executive forums and align Product, UX, Security, Data, and Customer teams around shared outcomes.
Requirements
- 15+ years of software engineering experience, including 5+ years leading large, global engineering organizations through Directors and managers.
- Experience owning business outcomes and accountability for delivery, reliability, security, and organizational performance.
- Experience leading enterprise SaaS products at significant scale.
- Strong knowledge of cloud-native architecture, platform engineering, microservices, API-first design, DevOps, data platforms, and AI/ML.
- Experience with operational excellence, SLOs, incident management, quality, security, and always-on services.
- Executive-level communication skills and experience hiring and developing senior engineering leaders.
Nice to have
- Experience in regulated or security-sensitive domains such as GRC, governance, risk, compliance, or fintech.
- Familiarity with LLMs, RAG, agent frameworks, MCP, and AI-assisted development.
- Experience leading distributed, multi-region teams or scaling organizations through growth, M&A integration, or platform consolidation.
Culture & Benefits
- Flexible work environment with a hybrid model tied to office locations.
- Comprehensive health benefits, generous time off, wellness programs, and meeting-free days.
- Global days of service and support for diversity through Employee Resource Groups and education resources.
- International office hubs across North America, Europe, Asia, and Australia.
- Culture focused on creativity, experimentation, continuous learning, and inclusive collaboration.
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