Much like software before it, data is the next competitive battleground for modern enterprises. As a result, more and more companies are rushing to stand up their data stack and become data-powered organizations.
But every data-powered company quickly encounters one unfortunate fact: much of their data is missing, stale, corrupt, or prone to unexpected and unwelcome changes. As a result, companies spend more time dealing with issues in their data rather than unlocking that data's value.
Anomalo addresses this problem by adding a new layer to the Modern Data Stack: a Data Quality Platform that monitors enterprise data to automatically detect and root-cause any data issues, thus allowing teams to resolve any hiccups with their data before making decisions, running operations, or powering models.
We help companies trust the data they use to make decisions and build products.
Why join us?
We exceeded 7-figures in ARR and tripled our revenue over the last quarter, working with brands like BuzzFeed, Discover Financial Services, Substack, and more.
We've raised almost $40m in funding from top investors at Norwest Venture Partners, Foundation Capital, Two Sigma Ventures, and First Round Capital.
Our team is full of Silicon Valley Veterans with experience at companies like Instacart and LinkedIn.
Engineering at Anomalo
Our engineering team operates on a one-week cadence, with each engineer having a great deal of autonomy. We meet once a week as a team to review our roadmap, prioritize customer requests, and discuss WIP from a design or architecture standpoint. Then we do weekly demos where everyone can show off what they have recently shipped. We record every meeting, and most communications are asynchronous to support our remote-first culture. We have very high and fully automated unit and integration test coverage and run our entire test suite on every supported data warehouse. We use a backlog in Notion to track what we are working on and PRs in GitHub to do code reviews. Everyone merges code to master, and we cut releases weekly that are rolled out to our SaaS platform and then to in-VPC customer deployments.
Our unsupervised machine learning algorithms automatically detect drift in arbitrary data stored in cloud data warehouses. We run our entire stack entirely inside customer VPCs, either on single instances in Docker or on Kubernetes clusters.
De-coupling machine learning training from SQL query execution to increase throughput
Develop resolution flows for data quality alert notifications and integrate with 3rd party issue management platforms
Parse SQL queries across multiple data warehouse platforms to track data lineage and intensity of use
Working at Anomalo
We pride ourselves on being incredibly open and transparent in everything we do, and we rely on each other to make principled decisions backed by data and logic.
We believe that diverse and inclusive teams build better products that represent the needs of our customers. Today, 25% of our engineering team is female, and ensuring we continue to develop a diverse and inclusive engineering team as we scale is a top priority from our founders down.
We believe that life is too short not to have fun at work. We focus on hiring kind, open-minded and high-integrity people.
As part of our commitment to an inclusive workplace, we are happy to offer prospective engineers the chance to connect with our engineering employees who come from underrepresented backgrounds. It’s a way to get a better sense of our team and what it might be like to work with us.
If you’re interested in connecting with our team, be sure to bring this up during one of our introductory calls!
Unlimited vacation policy we encourage everyone to take.
We offer 16 weeks of maternal/paternal leave.
Work when and how you are most productive, most of our work is done asynchronously.
Top of the line medical, dental and vision insurance.
Work from Home
Prioritizes diversity in hiring
Diverse, inclusive teams build better products that represent the needs of our customers.
We are proud supporters of LGBTQ+.
Interested in this company?
Skip straight to final-round interviews by applying through Triplebyte.