Anomalo is an AI-powered data quality monitoring platform designed for enterprises. The platform helps businesses ensure high data quality by automatically detecting, analyzing, and resolving data issues across their data stacks. With features like anomaly detection, data validation, and data observability, Anomalo provides robust tools to maintain data integrity, compliance, and security. It integrates with data warehouses and lakes to provide seamless monitoring and generates insights for better data-driven decisions. By employing machine learning models, Anomalo offers an automatic understanding of data patterns, enabling proactive resolution of potential data quality issues before they impact operations.
11 - 50 employees
π€ Artificial Intelligence
π’ Enterprise
βοΈ SaaS
π° $33M Series A on 2021-10
21 hours ago
Join Anomalo as a Machine Learning Engineer to develop and deploy Generative AI applications.
π California β Remote
π° $33M Series A on 2021-10
β° Full Time
π Senior
π€ Machine Learning Engineer
4 days ago
Drive sales engagement with partners like Databricks at Anomalo. Focus on GTM strategies and relationship building.
πΊπΈ United States β Remote
π΅ $110k - $150k / year
π° $33M Series A on 2021-10
β° Full Time
π‘ Mid-level
π Senior
π Manager
4 days ago
As Director of Technical Product Marketing at Anomalo, lead the content strategy for data quality solutions.
πΊπΈ United States β Remote
π΅ $200k - $250k / year
π° $33M Series A on 2021-10
β° Full Time
π΄ Lead
π Product Marketing
March 6
As a Customer Solutions Engineer at Anomalo, assist customers with our data quality platform integration.
πΊπΈ United States β Remote
π΅ $160k - $205k / year
π° $33M Series A on 2021-10
β° Full Time
π‘ Mid-level
π Senior
π» Solutions Engineer
January 9
Play a key role in developing Anomalo's web platform using React and Python. Engage with users to enhance their experience.
πΊπΈ United States β Remote
π΅ $150k - $240k / year
π° $33M Series A on 2021-10
β° Full Time
π Senior
π§βπ» Full-stack Engineer
Remote Jobs at Anomalo