Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram .
At Databricks, we are obsessed with Data + AI to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Founded in 2013 by the original creators of Apache Spark™, Databricks has grown from a tiny corner office in Berkeley, CA to a global organization with over 6500 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest-growing SaaS companies in the world. The Money team's mission at Databricks is to maximize the value that our customers derive from their investments in data projects
Задачи
Design and manage the Money systems and services, commercializing all Databricks products and offerings
Develop innovative primitives that enable and support various pricing strategies such as Pay-As-You-Go, commissions, credits, trials, and promotions
Enhance engineering and infrastructure efficiency, reliability, accuracy, and response times, including CI/CD processes, test frameworks, data quality assurance, end-to-end reconciliation, and anomaly detection
Collaborate with commercialization experts to develop and implement innovative pricing strategies and plans
Use AI and LLMs to innovate in cost insight, prediction, and optimization across various cloud providers
You will become an expert at using the Databricks Data + AI tools
Provide leadership in long-term vision and requirements development for Databricks products, in partnership with our engineering teams
Represent Databricks at academic and industrial conferences & events
Software engineer on the Money team, you will be closely involved in the entire billing process, including usage ingestion, metering, pricing, credits, promotions, payments, usage reporting, and cost center and budgeting
Your role is crucial in democratizing data by bringing Databricks products to market
By collaborating with marketing, product teams, commercialization experts, data scientists, IT, and customer support, you will standardize billing experiences across major cloud providers, offering our customers a unified "sky computation" experience
This role involves utilizing the latest Databricks products and tools within the ecosystem
Требования
BS or higher degree in Computer Science or a related field
Technical leadership experience in large projects similar to those described, including near real-time large data processing and distributed service infrastructure management
Proven track record of building, shipping, and managing reliable, distributed services and data pipelines at scale
Demonstrated leadership skills and the ability to lead across functional and organizational boundaries
A proactive approach and a passion for delivering high-quality solutions
Условия
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees
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Зарплата157 000 — 225 900 USD в годвычитано из текста вакансии
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greenhouseОсновная публикация · 2025-06-06
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