Layer is building a machine learning operating system to empower data science teams to implement end-to-end machine learning effortlessly; from feature engineering, version control to model deployment. Layer helps teams to build, train and deploy ML into production at scale. Most importantly, Layer sits on top of your existing data and tech stack and works in your dev environment for you with zero friction.

Layer has an all remote culture as we aspire to work with the best talent, no matter where they live. We firmly believe that exceptional companies can only be built by exceptional people, who are passionate about their work, grounded, achieve more with less, full of grit, challenge themselves and their team relentlessly to do better, and have radical candor. Our team and culture is paramount to all else.

We are looking for an engineering manager who will multiply their team’s effectiveness, help build a world-class engineering organization and join us on our journey to make Declarative MLOps a reality. To be successful in this role, you will need to be a solid organizational engineer, understanding the best way to build and maintain a high functioning team. You also need to thrive in an environment where we expect everyone to be autonomous and self-motivated. The team moves fast and iterates quickly, and you need to be ready to hit the ground running to move fast with your team.

What we value

• Strong communication skills in this multi-national open environment.
• Skills to work independently and make decisions with minimal supervision.
• Interest in working in a dynamic environment with dynamic objectives.

Technologies we use

• We favor and support open-source.
• We mainly use Java in the backend with some Scala/Python. GraphQL and TypeScript on the frontend.
• Spark, Kubernetes, Terraform, AWS, CircleCI are important parts of infrastructure.

What we offer

• All-remote work style, work anywhere. Currently we prefer teammates to be within UTC to UTC+5
• Equity plan
• Highly competitive salary (above-market rates)