Evidence builds a modern business intelligence platform that blends human teams and AI agents to answer data questions, power internal reporting, and embed analytics in products. Its tools are already used by thousands of teams, including startups, Fortune 100 companies, and governments, and the company’s open-source project has about 7,000 GitHub stars. Backed by Y Combinator, SV Angel, A Capital, and founders from dbt and PagerDuty, Evidence positions itself as a replacement for legacy BI like Tableau and Power BI, with growing revenue and runway. The current hiring need is for a Software Engineer in Toronto to work across Evidence Core and Evidence Studio - from query engine work to the agent harness - collaborating closely with the founders.
The engineering approach centers on shifting much of the software lifecycle to AI agents, aiming to automate routine development work so engineers focus on judgment, creativity, and product thinking. Cultural priorities emphasize extreme customer responsiveness, obsessing over product quality and polish, moving quickly to ship useful features, minimizing meetings (one team meeting per week), instrumenting and measuring product usage, and continuously raising the bar through process improvements. The company maintains a deliberately small, high-bar team so early hires can have substantial influence on the product’s direction.
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