Medium’s engineering interview process

Medium's engineering team publishes the full interview rubric to make hiring criteria concrete and reduce subjective bias. The core idea is that transparency forces consistency and lets interviewers focus on what truly predicts on-the-job performance.

The post outlines four public documents: the rationale for the process, what the team looks for, what it does not look for, and the grading scheme. By spelling out factors like college name or GPA as irrelevant, the rubric eliminates noisy signals and centers evaluation on observable skills and behaviours.

Medium releases the materials under a Creative Commons Attribution Share-Alike license and plans to host the evolving rubric on GitHub. This openness invites other companies to fork, improve, or adapt the framework, turning a private hiring playbook into a community resource.

For engineering leaders, the resource provides a ready-made, bias-aware interview structure that can be adopted or customized. It shows how a data-driven rubric can improve interview quality, speed up hiring decisions, and reinforce a culture of meritocratic evaluation.