About Anomalo

Data management solutions accounted for more than one-fifth of all enterprise infrastructure spend in 2021. The “modern data stack” promises a centralized data platform for powering valuable new applications, from AI-powered products to real-time analytics. 

Unfortunately, a big problem stands in the way of most data projects and products – the issue of data quality. Rules-based data quality approaches that worked when data was small and tightly controlled don’t scale. And with more data sources, transformations, and users, quality issues are multiplying fast. The vast majority of issues go uncaught—until they lead to an expensive fire drill.

Anomalo is the automated AI solution that plugs directly into the modern data stack and automatically monitors tables for a wide range of data quality issues. Our software uses unsupervised learning to catch deep problems in the data, like sudden changes in the distribution, that aren’t covered by static rules or basic observability. With built-in root cause analysis, Anomalo shows not only whether data is anomalous but also why and what the impact is. This prevents data issues from reaching dashboards, reports, and products, while data teams spend less time debugging and more time building.

We’re rapidly growing and work with some of the biggest brands leveraging data today, like Block, Discover Financial Services, Buzzfeed, and Notion. The company has raised a total of $72M seed through Series B funding and is backed by top-tier venture firms like SignalFire, Norwest Venture Partners, Databricks Ventures, Foundation Capital, Two Sigma Ventures, and First Round Capital. 

Anomalo is building the platform that data-driven companies need to be able to make good data-driven decisions, and would love to have you join for the ride.

As the founding member of the Core Systems team at Anomalo, you will empower Anomalo engineers to deliver enormous value to our customers by tackling the gnarliest architectural problems at the heart of our software system.  This is a fully remote role based anywhere in North America. 

What you’ll do as a Core Systems engineer at Anomalo: 

Steward the core frameworks, patterns, and stateful services that Anomalo engineers use to implement product features and enhancements; Partner with engineers across other engineering teams to identify and execute on foundational problems that impact the scalability, reliability, and observability of software systems; Provide leadership and guidance for decision-making in technical and non-technical subjects that influence how and what we build; Influence engineering processes and practices to cultivate excellence, agility, and a delightful work culture consistent with Anomalo’s core values; Mentor engineers of all background and experience levels, and identify opportunities to empower their growth and impact; Influence Product, Customer Solutions, and Sales activities by communicating about complex technical problems and opportunities; Act as a knowledge resource for both internal and customer teams concerning Anomalo’s capabilities and operation;

What you’ll bring to the team:

10+ years of experience in software engineering roles (or equivalent); Ability to explain complex technical concepts to a wide range of audiences; Experience building and operating Python-based software in Kubernetes-based production environments at scale; Demonstrated ability to mentor engineers from a wide range of backgrounds and experience levels

Ideal candidates will also have:

Experience with messaging protocols (e.g., AMQP, MQTT, STOMP) and software (e.g. RabbitMQ, ActiveMQ); Experience with the data science/ML engineering Python stack (e.g. NumPy, Pandas); Experience developing and distributing software used in enterprise environments where security is paramount and visibility is limited;

Salary Range: 

The salary range for this role is $180,000 - 220,000, plus meaningful equity. 

Travel:

Quarterly travel to company off-sites at different locations Occasional travel to engineering events (e.g. annual hackathon) Perks of working with us: