обновлено 4 дня назад
Director of Engineering (AI Quality)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Director of Engineering (AI Quality): Architecting and leading AI-driven quality engineering, automation infrastructure, and enterprise-scale performance engineering with an accent on LLM-powered testing, scalable frameworks, and reliability validation. Focus on building high-performing multi-team organizations, validating non-deterministic AI/ML behavior, and integrating continuous quality controls across the software delivery lifecycle.
Location: Raanana, Israel; hybrid schedule with 2 days in the office and 3 days remote each week
Company
develops AI, cloud, and digital software for customer experience management, financial crime prevention, and public safety, serving more than 25,000 global businesses.
What you will do
- Define and lead AI-augmented quality initiatives across the organization, including LLM-powered test generation, triage, root-cause analysis, and AI/ML output validation.
- Own automation strategy across UI, API, and integration layers, and architect scalable test frameworks embedded in CI/CD pipelines.
- Lead enterprise-scale performance and load testing, define SLOs and SLAs, and drive analysis of regressions, bottlenecks, and latency spikes.
- Establish quality KPIs, flakiness SLAs, coverage standards, automation ROI metrics, and responsible AI testing governance.
- Lead and grow teams of automation engineers, performance engineers, and architects while setting technical direction, OKRs, and career ladders.
- Partner with Product, DevOps, R&D, and SRE leadership to align engineering velocity with product reliability.
Requirements
- 12+ years of software engineering or QA experience and 5+ years of engineering leadership at Director level or senior Staff+ level with direct reports.
- Hands-on experience building test automation frameworks from scratch and leading performance engineering for distributed, cloud-native systems supporting 10,000+ concurrent users.
- Experience shipping or operating AI/ML systems and understanding model drift, data validation, statistical testing, and non-deterministic behavior.
- Experience managing multi-team organizations of 10–40+ engineers and architects, including hiring and developing senior technical talent.
- Working knowledge of LLMs, prompt engineering, RAG, agentic workflows, and AI coding assistants such as GitHub Copilot, Claude, or Cursor.
- Proficiency in Python, TypeScript, or Java, with modern CI/CD and observability tooling; enterprise software experience is strongly preferred.
Culture & Benefits
- Hybrid -FLEX model with regular in-office collaboration and remote work.
- Fast-paced, collaborative, and creative environment within a global company.
- Opportunities for learning, growth, and internal career development across disciplines and locations.
- Work with AI, cloud, and digital technologies at a large enterprise software organization.
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