Software Engineer
Evidence, Toronto, Ontario, CA
- Pay
- $100K–$150K / year
- Work type
- Not stated
- Level
- Not stated
- Area
- Software engineering
- Posted
- Oct 7, 2026
About the role
Software Engineer
Evidence is building the new standard for business intelligence, designed for a world where humans and AI agents work together on analytics.
At the foundation is Evidence Core, our open source framework for building reports and data products as code. On top of it, we’re building Evidence Studio - a complete enterprise business intelligence platform, combining an AI analytics agent with access control, enterprise security, and governance.
Our founders, Adam and Sean, spent five years building the data science group at a leading private equity firm, including developing the data infrastructure for its portfolio companies. They started Evidence out of frustration with drag-and-drop BI tools, launching an open source project which became one of the earliest BI-as-code products: https://news.ycombinator.com/item?id=28304781
At Evidence, our goal is to replace the drag-and-drop BI tools of the past with a code-native, agent-driven approach to analytics - where important analytics content is version-controlled, testable, and governed.
About the company
Today, Evidence is used by thousands of teams - from startups to Fortune 100 companies and governments. Customers trust us with critical customer-facing and company-wide analytics, often replacing tools like Tableau and Power BI.
Our open source project has 7,000 GitHub stars and a community of thousands of data professionals. We’re backed by Y Combinator, SV Angel, A Capital, and founders of companies like dbt and PagerDuty. We have 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.
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Listed on Y Combinator's job board; checked 25 h ago. First seen by us 25 h ago. Being listed doesn't mean the team is actively interviewing.