Customer Solutions Engineer

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 across Anomalo to troubleshoot support issues, provide solutions, and build scalable internal processes. 

If you consider yourself a versatile problem-solver who can quickly adapt, take ownership, become an expert and do what is needed for our customers, you will be a perfect fit for this role!

What you’ll do as a  Customer Solutions Engineer at Anomalo: Manage any post-sales activities related to the implementation, configuration, and ongoing support of customer environments in either SaaS or in-VPC environments. Collaborate across Anomalo teams to ensure a seamless transition from pre-sales to post-sales to provide the best end-to-end customer onboarding experience. Conduct architecture & implementation best practices training sessions with customers. Provide customers with best practices for integrations, along with documentation to enable self service.   Own and resolve support cases through effective troubleshooting, gathering appropriate data, and consulting with internal teams.  Partner with engineering and application teams in the development of new products or enhancements. Build support tooling and scale internal processes to enhance Anomalo’s products and services. This is not a traditional help desk or ticket-based support role. Instead, you will work proactively with customers to ensure smooth deployments and adoption of Anomalo’s platform. What you’ll bring to the team: (Must Have) 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.  Strong ability to translate technical concepts for non-technical stakeholders while also engaging deeply with technical users. Many customers may not be familiar with modern data tooling, so a consultative approach is key. Proactive problem-solver with the ability to anticipate customer needs, think beyond immediate issues, and debug at various levels of the stack Experience managing support cases from triage to resolution, balancing multiple tasks, and staying organized in dynamic environments. Big-picture thinker who identifies potential integrations, process improvements, and best practices to streamline customer support and deployments. Technical Skills: Containerized Applications Proficiency in deploying and troubleshooting applications using Docker and Kubernetes. Familiarity with Helm for managing Kubernetes applications Cloud & On-Prem Technologies Experience with AWS, Azure, GCP, and OpenShift. Identity Management: Familiarity with SAML, OAuth, and other enterprise authentication methods. Scripting, Automation & API Integrations Ability to read and write basic scripts using Bash, Python, or similar languages for automating tasks and troubleshooting. Experience working with APIs (REST) for data integrations and automation workflows Familiarity with scripting API calls for tasks like data ingestion, system integrations, or automating repetitive workflows Architecture Diagrams & Documentation: Experience with tools like Lucidchart or draw.io for diagramming customer environments Data Warehousing: Knowledge of cloud-based data warehouses such as Databricks and Snowflake Ideal candidates will also have: (Bonus Skills) Advanced Scripting & API Automation High-level proficiency in scripting with Python, Bash, or PowerShell to build complex automation workflows and internal tools. Familiarity with Infrastructure as Code (IaC) tools like Terraform Monitoring & Observability Hands-on experience with Prometheus, Grafana, Splunk, or similar tools Data Engineering & Warehousing Exposure to ETL/ELT workflows and data pipeline tools like Apache Airflow or dbt Exposure to enterprise tools like Salesforce, Gong, Outreach, Notion, and Google Suite. Location & Travel: Remote (United States) – Pacific Time Zone. Candidates must be based in the U.S. and willing to work Pacific Time hours. Occasional on-call responsibilities; candidates must be comfortable with on-call rotations to meet customer SLAs. Quarterly travel required for company offsites and approximately 15% travel for customer meetings. Salary Range: The estimated annual salary range for this role is  $160,000 - $205,000 plus meaningful equity Perks of working at Anomalo: