2 дня назад
Engineering Manager for the Data Team (AI)
215 000 - 260 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Engineering Manager for the Data Team (AI): Leading the data engineering team building scalable infrastructure for Crusoe’s AI and cloud intelligence operations with an accent on data lakes, warehouses, ETL frameworks, and platform reliability. Focus on defining multi-quarter roadmaps, driving observability and incident management, and developing engineers while delivering mission-critical data capabilities.
Location: San Francisco, California, United States; on-site
Salary: $215,000–$260,000 per year plus bonus and restricted stock units
Company
builds vertically integrated energy and AI infrastructure, operating systems from power generation through cloud services to support demanding AI workloads.
What you will do
- Lead, manage, coach, and grow a team of data engineers through regular one-on-ones and career development.
- Define the long-term data platform vision and quarterly OKRs with Product, Data Science, and Cloud Leadership.
- Oversee scalable and maintainable data lake, data warehouse, and ETL architecture through technical design reviews.
- Drive CI/CD, data quality monitoring, observability, and incident management practices.
- Lead recruitment and build a diverse, high-performing engineering team.
- Partner with data stakeholders across the company to prioritize mission-critical initiatives.
Requirements
- 5+ years managing engineering teams and 7+ years in data engineering or software engineering.
- Strong experience with Python, SQL, Airflow or Dagster, BigQuery or Snowflake, Kafka, Flink, and GCP or AWS.
- Ability to lead in-depth technical discussions and oversee modern data platform architecture.
- Experience delivering complex, multi-quarter technical projects on schedule and to a high standard.
- Exceptional communication skills for translating technical challenges into business impact for stakeholders and executives.
- Experience building data-driven cultures supported by metrics and rigorous testing.
Nice to have
- Experience with bare metal, hyperscaler clouds, or GPU infrastructure.
- Familiarity with AI/ML data requirements or high-performance computing environments.
- Experience working at a high-growth startup.
Culture & Benefits
- Competitive compensation, bonus, equity, and restricted stock units.
- Paid time off, holidays, leave programs, and parental leave.
- Health, dental, vision, life, disability, and mental health benefits.
- 401(k) plan with company matching up to 4% of salary, plus HSA contributions.
- Professional development, tuition reimbursement, commuter benefits, and a cell phone stipend.
- Volunteer time off, global travel insurance, emergency assistance, daily meal allowance, and location-specific programs.
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