Snowflake предлагает четко очерченную руководящую роль в стратегическом AI-направлении и зарплату выше рыночного ориентира; при этом требования к директорскому уровню делают вакансию очень требовательной.
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Оплата выше рынкаAI для больших данныхПонятная зона ответственностиВысокие требования
Оценка от Hirify AI
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Hirify AI/Оригинал
TL;DR
Director of Engineering (AI/LLM): Leading architecture, product direction, and engineering teams building AI and LLM-powered functions directly in SQL for large-scale structured and unstructured data processing with an accent on AI infrastructure, distributed systems, and query processing. Focus on designing scalable systems, solving complex business problems, and hiring and mentoring senior technical leaders.
Location: Hybrid in Menlo Park, California, or Bellevue, Washington, United States
Salary: $264K–$379.5K annually
Company
Snowflake provides a data platform and is expanding AI Functions that embed AI and LLM-powered capabilities directly into SQL workflows.
What you will do
Own architecture and design, influence the product roadmap, and identify initiatives that advance Snowflake technology.
Set the team’s strategic vision and drive accountability for plans and deliverables.
Build and scale AI-powered functions for structured and unstructured data processing through SQL.
Lead projects from ideation through implementation with cross-functional partners.
Evolve organizational structure and improve engineering efficiency.
Hire, develop, manage, and mentor senior technical leaders and engineering teams.
Requirements
Advanced degree in Computer Science.
10+ years of software engineering experience, including recent hands-on work.
2+ years of engineering director experience, including managing managers.
Deep experience with AI infrastructure and LLMs.
Experience building large-scale query processing systems or distributed systems.
Strong record of recruiting and developing technical teams, with excellent cross-functional communication skills.
Culture & Benefits
Work in a fast-moving, experimental environment focused on AI innovation.
Collaborate across global organizations on enterprise AI solutions.
Build and mentor high-performing engineering teams.
Contribute to technical excellence, innovation, and collaborative problem-solving.
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