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Engineering Manager, Data Platform
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Crusoe Energy·San Francisco, CA - US·31 июля

Engineering Manager, Data Platform

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Наша компания

Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world

О роли

We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partne

Чем предстоит заниматься

As the Engineering Manager for the Data Team, you will lead a high-impact team of data engineers responsible for the foundation of Crusoe’s AI and cloud intelligence. You will bridge the gap between technical execution and business strategy, ensuring our data infrastructure is scalable, reliable, and provides actionable insights for our climate-aligned energy and AI operations
Your success will be measured by the growth of your engineers, the reliability of our data platform, and your ability to execute a roadmap that supports Crusoe’s mission-critical data needs

Наши требования

Leadership Experience: 5+ years of experience managing engineering teams, with a total of 7+ years in data engineering or software engineering
Technical Depth: A strong background in the modern data stack (Python, SQL, Airflow/Dagster, BigQuery/Snowflake,Kafka, Flink) and cloud infrastructure (GCP/AWS). You should be able to lead deep-dive technical discussions
Execution Focus: Proven track record of delivering complex, multi-quarter technical projects on time and at high quality
Communication: Exceptional ability to translate complex technical challenges into business impact for stakeholders and executives
People-First Mindset: A passion for mentorship and a demonstrated ability to help engineers level up in their careers
Analytical Thinking: Experience building data-driven cultures where decisions are backed by metrics and rigorous testing
Experience with bare metal, hyperscaler clouds, or GPU infrastructure
Deep familiarity with AI/ML data requirements or high-performance computing (HPC) environments
Experience at a high-growth startup where you had to "build the plane while flying it."

Мы предлагаем

Competitive compensation and equity packages
Restricted Stock Units
Paid time off, paid holidays & leave of absence programs
Comprehensive health, dental & vision insurance
Employer contributions to HSA account
Paid parental leave
Paid life insurance, short-term and long-term disability
Professional development & tuition reimbursement
Mental health & wellness support
Commuter benefits (parking & transit)
Cell phone stipend
401(k) Retirement plan with company match up to 4% of salary
Volunteer time off
Global travel insurance & emergency assistance
Daily meals allowance
Additional perks & programs specific to location
Compensation will be paid in the range of up to $215,000 -$260,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data

Дополнительно

Team Leadership & Mentorship: Manage, coach, and grow a team of data engineers. Conduct regular 1:1s, provide career development guidance, and foster a culture of high performance and psychological safety
Strategic Roadmap: Partner with Product, Data Science, and Cloud Leadership to define the long-term vision and quarterly OKRs for the data platform
Technical Oversight: While you may not be writing code daily, you will participate in design reviews and ensure the team is building scalable, maintainable architectures (Data Lakes, Warehouses, and ETL frameworks)
Operational Excellence: Drive engineering best practices, including CI/CD, data quality monitoring (observability), and incident management processes
Recruitment: Lead the hiring process to scale the team, focusing on attracting diverse, world-class engineering talent
Cross-Functional Partnership: Act as the primary point of contact for data stakeholders across the company, ensuring the data team is unblocked and focused on the highest-priority initiatives
C
Crusoe Energy
San Francisco, CA - US

ГрейдMiddle
ЗанятостьПолная занятость
РегионСША
ФорматОфис
ИсточникСкрыто
Опубликовано31 июля
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