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Описание вакансии
Текст:
TL;DR
Senior Engineering Manager (AI/BI): Leading multiple teams building and scaling dashboard creation, consumption, query, permissions, control-plane, and distribution services with an accent on AI/LLM-powered product experiences, full-stack performance, and service quality. Focus on designing agentic dashboard authoring, scaling distributed systems to the next order of magnitude of users, and balancing quality, performance, cost, and long-term architecture.
Location: Mountain View, California or San Francisco, California
Salary: $228,600–$314,250 USD annually
Company
Databricks is a data and AI company providing a unified platform for data engineering, analytics, applications, and AI agents to organizations worldwide.
What you will do
- Lead multiple teams of full-stack and backend engineers, subject-matter experts, and engineering managers.
- Grow the AI/BI Dashboard product across dashboard creation, consumption, query, permissions, control-plane, web, mobile, Desktop, and distribution surfaces.
- Apply AI and LLM technology to agentic dashboard authoring and AI-powered insights.
- Scale services and distributed systems to support the next order of magnitude of users while maintaining quality, performance, and operational reliability.
- Recruit, develop, and retain engineering managers and individual contributors.
- Set technical direction, manage technical debt, and balance long-term architecture decisions with the product roadmap.
Requirements
- 6+ years of experience managing multiple teams building and operating products and systems in a SaaS environment.
- 10+ years of experience with distributed systems and building products, platforms, and services used by multiple product teams and customers.
- Experience scaling engineering teams from 15 to 35+ people and managing distributed teams across multiple locations.
- Strong record of attracting, hiring, developing, and retaining engineering talent.
- Experience creating efficient processes that improve velocity and quality in a fast-paced technology environment.
- Bachelor’s degree or higher in Computer Science or a related field.
Culture & Benefits
- Work with a data and AI platform used by more than 20,000 organizations worldwide.
- Collaborate with Product Management, Customer Success, and engineering teams.
- Benefits and perks are provided according to the applicable region.
- Annual performance bonus and equity may be included in the total compensation package.
- Inclusive employment practices and equal employment opportunity standards.
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