Engineering Manager

About the team

Our customers build fast-growing businesses around our APIs, which power product features that were never before possible. We simultaneously ensure that our powerful tools are used responsibly. Safe deployment is more important to us than unfettered growth.

The Engineering team wraps a massive fleet of GPUs in scalable, robust, infrastructure powered by Kubernetes, Go, Python, Terraform, Kafka, Postgres, and Snowflake.
We are looking for an experienced engineering manager to help grow the team, set clear direction for the future, and build a diverse and inclusive culture.

In this role, you will:

Help set a vision for your team and Applied as a whole, and then ensure we efficiently achieve our goals
Ensure your team of engineers are performing at their peak, are growing, and advancing in their careers
Create a diverse and inclusive culture that makes all feel welcome while enabling radical candor and the challenging of group think
Work with Product Managers, your Tech Lead, and leadership to ensure projects are on track, your team is utilized effectively, and core engineering needs are continuously addressed
Provide technical direction and mentorship along with your Tech Lead.

You might thrive in this role if you:

Have at least 5 years of experience as an individual contributor engineer and at least 2 years of experience leading several other engineers
Are deeply thoughtful about culture, DEI, and team structure with a track record of improving these areas
Can dive into our codebase, intuit how it works, and be able to have a strong intuition for suggestions that will lead us to a stronger engineering position.
Experience creating and dismantling engineering processes with a strong experience-driven intuition for crafting minimal, simple processes
Experience closing competitive candidates for their team and the ability to craft and convey compelling visions of the future
Very high emotional intelligence and deeply empathetic personality. A strong ability to read between the lines and genuinely connect with a diverse range of fellow colleagues
A voracious and intrinsic desire to learn and fill in missing skills. An equally strong talent for sharing that information clearly and concisely with others
Are comfortable with ambiguity and rapidly changing conditions. You view changes as an opportunity to add structure and order when necessary
Experience in Machine Learning techniques is a plus, but not required