Evidence (YC S21) Is Hiring Software Engineers
🚀 Career Opportunity: Software Engineers at Evidence (YC S21)
Evidence is redefining the landscape of Business Intelligence (BI). We are crafting a modern standard for analytics, specifically engineered for a future where human intelligence and AI agents collaborate seamlessly.
📈 Our Current Momentum
Evidence has already gained significant traction, serving as a powerful alternative to legacy systems like Power BI and Tableau.
| Metric/Entity | Detail |
|---|---|
| User Base | Thousands of teams (Startups Fortune 100 Governments) |
| Open Source | 7,000+ GitHub stars & a vibrant data community |
| Financials | Expanding revenue with multiple years of runway |
| Backing | Y Combinator, SV Angel, A Capital, and the founders of dbt and PagerDuty |
🧠 Our Engineering Philosophy
We have intentionally maintained a lean team by upholding an exceptionally high talent bar. We believe that elite engineers, when augmented by powerful AI agents, can achieve outcomes that were
impossibleunimaginable just a few years ago.
Because we prioritize quality over quantity, new hires will possess massive influence over the trajectory and evolution of the product.
🛠 Open Position: Software Engineer
- Location: Toronto, ON (Full-time)
- Scope: You will collaborate directly with the founders, contributing to
Evidence CoreandEvidence Studio. Your work will span from the underlying query engine to the agent harness.
⚙️ How We Build
We are currently evolving our development methodology. We are shifting away from traditional workflows toward a model where AI agents handle the bulk of the software lifecycle.
By automating the mundane, we empower our team to focus on the high-leverage aspects of engineering:
📜 Our Core Principles
- Customer Obsession: We are intensely responsive; we don't stop until the user's problem is fully resolved.
- Aesthetic Excellence: We obsess over the details to ensure the product is beautiful and fluid.
- Bias for Action: We prioritize shipping functional tools into the hands of users quickly.
- Deep Work: We protect the time and space necessary for intense focus.
- Data-Driven: We instrument our systems and track key metrics to validate our direction.
- Continuous Evolution: We expect every team member to actively refine our dev process.
Example of our mindset in code:
// We don't just ship features; we instrument them.
function deployFeature(feature) {
if (feature.isBeautiful && feature.solvesCustomerPain) {
trackMetric('user_success_rate');
return shipToProduction(feature);
}
}
