Head of Engineering


Gantry is building infrastructure and developer tools to help machine learning teams turn their projects into production-grade machine learning systems. We offer an Evaluation Store, a single source of truth for model performance metrics. Our tool helps machine learning teams understand the performance of their models in production and make operational decisions like whether to deploy, when to retrain, and what data to label and retrain on.

Gantry was founded by Josh Tobin, former OpenAI researcher and co-creator of Full Stack Deep Learning, and Vicki Cheung, former founding engineer at OpenAI and Compute team lead at Lyft. Gantry is well-funded and backed by top-tier venture capital firms and angel investors including Pieter Abbeel and Greg Brockman.

We value diversity and encourage candidates from underrepresented groups to apply.

As the Head of Engineering at Gantry, you’ll be instrumental in aiding and guiding our engineers to produce a rock solid product feature set. In addition to helping build an engineering team and culture, you’ll be collaborating with talented individuals to build the best in class Machine Learning and Data Science product. 

What you'll do

  • Lead a team of engineers to solve hard problems in the intersection of machine learning, analytics, data visualization, and infrastructure
  • Foster a culture that values collaboration, learning, and inclusion
  • Mentor and guide engineers and managers to grow our internal talent, and help them achieve their professional goals
  • Design and iterate on our performance review process to ensure the team is receiving clear, continuous feedback
  • Collaborate with engineers and other stakeholders to create short term and long term roadmaps
  • Work with leadership to plan team headcount to support business needs
  • Partner with recruiting to define roles, improve our interview process, and prioritize diversity at the top of the funnel

You may be a good fit for this role if you

  • Have work experience growing teams and managing engineering managers
  • Have extensive knowledge of ML or AI software development
  • Have experience designing and shipping complex engineering systems
  • Are a proactive, empathetic communicatorHave a proven track record of delivering high performing software while building a high performing team
  • Can drill deep into code paths to help determine implementation options and assist the team trade off between various implementation options
  • Want to work at a Startup
Most of the team is based in San Francisco, but we are building a remote-friendly company and welcome applicants from anywhere in the US. We offer competitive salary, a significant equity stake in the company, and full benefits