Evidence（YC S21）发布软件工程师招聘信息

Evidence is building the new standard for business intelligence, designed for a world where humans and AI agents work together on analytics.

Today, Evidence is used by thousands of teams, from startups to Fortune 100 companies and governments, often replacing tools like Tableau and Power BI. Our open source project has 7,000 GitHub stars and a large community of data professionals.

We’re backed by Y Combinator, SV Angel, A Capital, and founders of companies like dbt and PagerDuty, with growing revenue and years of runway.

We’ve gotten here with a deliberately small team and an extremely high bar for the people we hire. We believe exceptional engineers, amplified by increasingly capable AI agents, can accomplish far more than was possible even a few years ago. We’re keeping that philosophy as we grow, so the people who join now will have enormous influence over what Evidence becomes.

How we work

We’re currently rethinking how we build software, moving toward a development process where agents take on most of the software lifecycle. We believe it’s possible to automate almost all of this work, freeing us to focus on the parts that require the most judgement, creativity, and product thinking.

Our development process will change as AI improves, but our core principles remain the same:

• We take care of our customers. We’re exceptionally responsive and stay close to customers until their problems are solved. We probably take this further than is reasonable, and we like it that way.
• We’re obsessed with product quality. We care about the details and put a huge amount of effort into making our work look beautiful and feel smooth to use.
• We move fast and finish things. We bias toward action and care about getting useful things into users’ hands as soon as we can.
• We avoid meetings. The best work gets done when you have time and space to focus, so we try to make that our default work environment. We have one team meeting per week, and that’s it.
• We’re data-driven. We instrument almost everything, track the metrics that matter, and use data to understand what’s working.
• We keep raising the bar. We’re constantly looking for ways to improve our software development process, and expect everyone on the team to suggest and make improvements when they see them.