Customer Solutions Engineer (West Coast)

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