Machine Learning Team Lead

Elastic (NYSE:ESTC)

  • Location
    • United States
  • Date Posted
  • 11 Mar 2020
  • Function
  • Data Science
  • Sector
  • Data, Open Source

Elastic is a search company with a simple goal: to solve the world's data problems with products that delight and inspire. As the creators of the Elastic Stack, we help thousands of organizations including Cisco, eBay, Grab, Goldman Sachs, ING, Microsoft, NASA, The New York Times, Wikipedia, and many more use Elastic to power mission-critical systems. From stock quotes to Twitter streams, Apache logs to WordPress blogs, our products are extending what's possible with data, delivering on the promise that good things come from connecting the dots. We have a distributed team of Elasticians across 30+ countries (and counting), and our diverse open source community spans over 100 countries. Learn more at

We are looking for a Senior Engineering Manager to join the machine learning team.


You will take responsibility for people management of a talented, multidisciplinary team comprising of data engineers, QA engineers and technical writers, who work alongside product and UI software engineers.

This team is on the front line, working with the machine learning features every day. Their insights, driven from an end-user perspective, provide valuable input that helps our current users succeed and identifies ways to improve our future users’ experiences too.

Diverse activities include such things as developing pre-packaged analytical modules, benchmarking analytical performance, curating an interesting and representative data catalogue that supports research and development, ensuring our technical documentation is easy to understand and approachable and assessing and maintaining the quality of software and analytical results at scale.

This is not just a people management position; expect to roll your sleeves up and contribute to research, data analysis, testing, documentation reviews - depending on your background.

Our engineers are from all around the globe so the ability to work within a distributed team is critical. You don’t always need to be the person with the answer or the person making the decisions, but instead should be able to guide discussions to help the team make decisions together.

What you will be doing

  • Manage, mentor and lead a distributed, multidisciplinary engineering team
  • Set priorities, have a plan and deliver it
  • Work with product management to build customer empathy within the team
  • Foster a culture of mutual respect, collaboration and consensus-based decision-making
  • Promote knowledge sharing with team, organisation and community
  • Support development and training through regular mentorship and performance management
  • Participate in interviewing and drive hiring and significant team growth

What you will bring along

Experience leading teams (~10 people)

  • Industry experience in machine learning, data science, QA
  • A real passion for data, analysis and achieving excellence
  • Mathematical capabilities with an educational background in a relevant discipline such as Mathematics, Physics, Engineering, Computer Science
  • Collaborative style, open communicator, distributed experience
  • Ambitious, good attention to detail and highly organized
  • Your heart in the right place, a good sense of humour and a genuine interest in the people you work with
  • Experience with the Elastic Stack is useful, but not mandatory