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October 14, 2026

Number four: Bigeye named to Fortune's Best Workplaces in Technology

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We keep running out of space on the trophy shelf - Bigeye has been named #56 on Fortune's Best Workplaces in Technology™ (Small and Medium Workplaces) list, our fourth workplace recognition this year.

In addition to being Great Place to Work-Certified™ for the second year in a row, we were also named to Fortune's Best Workplaces in the Bay Area (No. 67 among small and medium companies) and its Best Small Workplaces list. Now we're on the technology list too.

We're a little overwhelmed, in the best way.

Who decides:

Fortune's Best Workplaces in Technology list is produced with Great Place to Work, and it's built the same way as the others: from anonymous feedback our own team gave about leadership, trust, and what it's like to work here. Nobody at Bigeye wrote those answers for them, and nobody can buy a spot on the list.

Why the tech list matters:

Plenty of tech companies are good at building products. Fewer are good at being places where people want to stay. The people building Bigeye's platform are working on hard problems, like giving enterprises visibility and control over the data AI agents use. They also tell us they feel supported while they do it. We care about both.

Same answer, four times:

Each list slices the results differently, by region, company size, and industry, and Bigeye made all four. That's a pattern we're proud of.

Here's what our CEO, Eleanor Treharne-Jones, had to say:

"As we say in Britain, you wait ages for a bus, then three come along at once. Apparently the same goes for awards, because this is our fourth this year. It's especially meaningful because it reflects the experience of our team. I'm proud of the culture we've built at Bigeye and of the people who continue to strengthen it every day."

Our culture has held up as we've grown. If that sounds like your kind of place, take a look at our open roles.

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Resource
Monthly cost ($)
Number of resources
Time (months)
Total cost ($)
Software/Data engineer
$15,000
3
12
$540,000
Data analyst
$12,000
2
6
$144,000
Business analyst
$10,000
1
3
$30,000
Data/product manager
$20,000
2
6
$240,000
Total cost
$954,000
Role
Goals
Common needs
Data engineers
Overall data flow. Data is fresh and operating at full volume. Jobs are always running, so data outages don't impact downstream systems.
Freshness + volume
Monitoring
Schema change detection
Lineage monitoring
Data scientists
Specific datasets in great detail. Looking for outliers, duplication, and other—sometimes subtle—issues that could affect their analysis or machine learning models.
Freshness monitoringCompleteness monitoringDuplicate detectionOutlier detectionDistribution shift detectionDimensional slicing and dicing
Analytics engineers
Rapidly testing the changes they’re making within the data model. Move fast and not break things—without spending hours writing tons of pipeline tests.
Lineage monitoringETL blue/green testing
Business intelligence analysts
The business impact of data. Understand where they should spend their time digging in, and when they have a red herring caused by a data pipeline problem.
Integration with analytics toolsAnomaly detectionCustom business metricsDimensional slicing and dicing
Other stakeholders
Data reliability. Customers and stakeholders don’t want data issues to bog them down, delay deadlines, or provide inaccurate information.
Integration with analytics toolsReporting and insights
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