Customer Solutions Engineer, Anomalo
$175-215k
Plus equity
More information about location
Autonomous data system for the agentic enterprise
Job no longer available
Autonomous data system for the agentic enterprise
21-100 employees
Job no longer available
$175-215k
Plus equity
More information about location
21-100 employees
Company mission
To help users automatically detect data issues and understand their root causes, before anyone else.
Role
Who you are
- 5+ years working in external customer support or in a customer-facing engineering or support capacity, preferably in an enterprise software/SaaS high-growth environment
- Experience with containerization and deployment technologies such as Kubernetes
- General experience in cloud environments such as AWS, Azure, and GCP
- Experience troubleshooting SaaS applications, APIs, and associated infrastructure for Enterprise-size companies
- Foundational knowledge in cloud computing, ETL concepts and workflows, and SQL
- Excellent debugging and troubleshooting skills at various levels of the stack
- Flexibility to travel to customer locations (approximately 15%)
Desirable
- Experience in deploying and troubleshooting at least two of Kubernetes, Identity Management and Authentication, Python, Cloud file systems or databases
- Data engineering experience with data warehouses such as Databricks/Snowflake
- Successfully managed cases throughout the entire support lifecycle, from triage and reproduction to writing bug reports for engineering and case resolution
- Experience managing multiple tasks and seamlessly shifting between diverse contexts, demonstrating the ability to stay organized, prioritize effectively, and maintain high productivity in dynamic work environments
What the job involves
- As a Customer Solutions Engineer at Anomalo, you will be responsible for helping customers configure and integrate our data quality platform for their business
- You will lead architecture discussions, conduct implementation & configuration sessions, and coordinate with engineering resources to drive best practices across our customer deployments
- You will combine your technical aptitude, exceptional communication skills, and creative problem-solving to assist customers. You will work cross-functionally
- Manage any post-sales activities related to the implementation, configuration, and ongoing support of customer environments in either SaaS or in-VPC environments
- Support and coordinate across Anomalo teams to ensure a seamless transition from pre to post sales to provide the best end-to-end customer onboarding experience
- Conduct architecture & implementation best practices training sessions with customers as they are onboarded to Anomalo
- Provide customers with best practices for integrations, generate playbooks for support, and identify key onboarding & adoption patterns to speed time to value
- Own and resolve support cases by effective troubleshooting, gathering appropriate data, and consulting with other individuals and teams
- Develop customer-specific runbooks and reports to ensure effective and consistent support is provided across our broader Anomalo team
- Build support tooling and scale internal processes to enhance Anomalo’s products and services
Our take
In the realm of expanding data repositories, the detection of potentially detrimental data anomalies takes on heightened significance, especially in the context of machine learning models. Anomalo steps in with an automated solution, leveraging machine learning to tackle the critical issue of data viability.
Anomalo integrates with enterprise data warehouses, like Snowflake, where extensive corporate data is stored. Its role involves vigilant monitoring and identification of unusual discrepancies and undesirable alterations across these datasets. Given the pivotal role data plays in business operations, such early detection of issues becomes imperative.
Anomalo is accelerating its impact with the launch of its Self-Driving Data platform, which goes beyond automated data quality to fully autonomous monitoring, investigation, and insight generation. The system uses nine AI agents to detect changes, resolve issues, and surface business-relevant insights without human intervention, helping enterprises trust and act on data in real time.
With major clients processing billions of rows daily, Anomalo is ready to be a foundational layer for AI-driven decision-making, turning data from a constant operational burden into a strategic advantage, and setting the stage for continued growth as organizations increasingly rely on agentic, self-managing data systems.
Freddie
Company Specialist at Welcome to the Jungle
Insights
50% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Nov 2024
$10m
SERIES B
Jan 2024
$33m
SERIES B
Total funding: $82m
Company benefits
- Fully Remote: We are fully remote and believe your best work happens from where you’re most productive. We offer a generous stipend to ensure your remote office is comfortable
- Generous Time Off: Enjoy 17 company holidays and unlimited vacation time that we encourage you to take. We also have a company-wide winter break the last week of the year
- Family-Friendly: Comprehensive medical, dental, and vision insurance plans. 16 weeks of parental leave, during which you will receive your full pay. We will provide access to family planning and reproductive care to employees and their families by partnering with Carrot Fertility
- We Stay Connected: We know the importance of staying connected to one another, and make time to get together in person (in a new destination!) for a company-wide offsite each quarter
Leadership
Elliot Shmukler
(Co-Founder & CEO)A Product and Growth leader with more than 20 years of experience with Internet Consumer Software products. Previously VP of Product and Growth for Wealthfront Inc., and Chief Growth Officer at Instacart.
Jeremy Stanley
(Co-Founder & Chief Scientist)A Data Science, Machine Learning, and AI leader. Previously CTO at Collective, Chief Data Scientist & EVP of Engineering at Sailthru, and VP of Data Science at Instacart.
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