Databricks

About Databricks

Empowering data teams with unified analytics

🏢 Tech👥 1K-5K📅 Founded 2013📍 San Francisco, California, United States

Key Highlights

  • Headquartered in San Francisco, CA
  • Valuation of $43 billion with $3.5 billion raised
  • Serves over 7,000 customers including Comcast and Shell
  • Utilizes Apache Spark for big data processing

Databricks, headquartered in San Francisco, California, is a unified data analytics platform that simplifies data engineering and collaborative data science. Trusted by over 7,000 organizations, including Fortune 500 companies like Comcast and Shell, Databricks has raised $3.5 billion in funding, ac...

🎁 Benefits

Databricks offers competitive salaries, equity options, generous PTO policies, and a remote-friendly work environment. Employees also benefit from a l...

🌟 Culture

Databricks fosters a culture of innovation with a strong emphasis on data-driven decision-making. The company values collaboration across teams and en...

Databricks

Director Of Engineering Lead

DatabricksNew York

Posted 1d agoLeadDirector Of Engineering📍 New York💰 $255,900 - $354,800 / yearly
Apply Now →

Overview

Databricks is hiring a Director of Engineering for their Mosaic AI team in New York. You'll lead teams building innovative ML/AI products and work closely with product and research teams. This role requires 10+ years of experience in large-scale data applications.

Job Description

Who you are

You have over 10 years of industry experience building and supporting large-scale data or production applications — you've successfully led teams in developing innovative solutions that leverage machine learning and AI technologies to drive business value. Your experience includes building classic ML or Generative AI systems, showcasing your ability to adapt and thrive in fast-paced environments.

You are motivated by the challenge of scaling early-stage products and have a passion for delivering impactful results. Your leadership style fosters collaboration and innovation, enabling your teams to tackle complex technical challenges effectively. You understand the importance of aligning engineering efforts with business objectives and are committed to driving success through strategic vision.

What you'll do

As the Director of Engineering at Databricks, you will lead teams responsible for building multiple products that empower customers to utilize cutting-edge ML and AI techniques. You will collaborate closely with product and research teams to define the future of AI and data applications, ensuring that your engineering teams are equipped to deliver high-quality solutions that meet customer needs. Your role will involve overseeing the launch and growth of new products, guiding your teams through the development process while maintaining a focus on innovation and excellence.

You will play a key role in shaping the engineering culture within the NYC AI Engineering Hub, promoting best practices and fostering an environment of continuous improvement. Your leadership will be instrumental in driving the success of Databricks Mosaic AI, helping thousands of customers democratize AI within their organizations. You will also be responsible for mentoring and developing engineering talent, ensuring that your teams are well-prepared to meet the challenges of the evolving technology landscape.

What we offer

At Databricks, you will be part of a mission-driven organization that is dedicated to solving the world's toughest problems through data and AI. We offer a collaborative work environment where your contributions will have a direct impact on the success of our customers and the future of technology. You will have access to cutting-edge tools and resources, enabling you to lead your teams effectively and drive innovation.

We encourage you to apply even if your experience doesn't match every requirement — we value diverse perspectives and are committed to building a team that reflects the communities we serve. Join us at Databricks and be part of a team that is shaping the future of data and AI.

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