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
- Containerized Applications
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) – ideally based in the Pacific Time Zone.
- Currently only considering candidates who are based in the U.S. and located in Hawaii, Pacific, Mountain, or Central Time zone.
- 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
- 🎯 Make An Impact: Join a growing company that delights our customers. Our modern UI and rich visualizations help our customers solve unknowns and anticipate data issues before they happen.
- 🔍 A values-driven, open and transparent culture that supports autonomy and growth.
- 🏡 Fully Remote: We were fully remote before it was a thing, and we believe your best work happens on your schedule. We offer a generous $1,000 stipend to ensure your remote office is comfortable.
- ✈ Quarterly Onsites: While we love the flexibility of being remote-first, we also recognize the value of spending time together in person. We make time to get together (in a new destination!) for a company-wide offsite each quarter.
- 🌴 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.
- 🩹 Health Benefits: Comprehensive family-friendly medical, dental, and vision insurance plans. Anomalo covers 90% of your premiums. We provide access to family planning and reproductive care for our employees and their families by partnering with Carrot Fertility. We provide mental health and wellness benefits for all employees, covered at 100%.
- 🍼 Family Comes First: We offer 16 weeks of parental leave, during which you will receive your full pay.
- 💸 Investment in the company & your future: Every employee is granted a meaningful equity package. We also offer life insurance and a 401(k) plan.
Many of our benefits and perks are designed for full-time employees, with some available only to team members based in the United States.
What we value:
- Own It: We don’t just do our jobs—we own getting to the best results across the company.
- Act & Adapt: We prioritize action, learn from mistakes, and continuously improve with humility and curiosity.
- Thrive Together: We embrace diversity, assume best intentions, and support each other to succeed as a team.
- Opacity Zero: Thoughtful transparency enables us to work autonomously and make great decisions.
- Customer Focus: We anticipate, innovate for, and deliver what matters most to our current and future customers.
- Work Smart: Work when, where, and how you’re most effective—outcomes matter more than hours.
Anomalo is the automated AI solution that integrates with the modern data stack to monitor data quality. Using unsupervised learning, it detects complex issues like distribution changes that static rules miss. With built-in root cause analysis, Anomalo identifies anomalies, their causes, and their impact, helping data teams focus on building instead of debugging.
We’re rapidly growing and work with some of the biggest brands leveraging data today, like Block, Discover, Atlassian, and Included Health. Backed by $82M in seed through Series B extension funding from top-tier firms, including SignalFire, Norwest Venture Partners, Databricks Ventures, Foundation Capital, Two Sigma Ventures, and First Round Capital, Anomalo is enabling companies to make better data-driven decisions.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for confidential accommodation requests will be shared.
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