As a Customer Success Engineer, you will ensure customer success through technical onboarding, issue resolution, and collaboration with product teams, while writing SQL and troubleshooting data integration challenges.
About WisdomAI:
WisdomAI is redefining how enterprises unlock insights from their data. Our AI-powered platform acts as a virtual data analyst—able to query, explore, and explain complex datasets across cloud data warehouses with minimal prep. Backed by leading investors including the ex-CEO of Tableau, CEO of Hex, and Databricks Ventures, we’re building the next generation of agentic analytics.
Role Overview:
As a Customer Success Engineer, you will play a critical role in helping customers realize the full value of WisdomAI-driving smooth onboarding, solving technical challenges, and surfacing insights that reduce risks, unlock growth, and fuel long-term success.
What You'll Do
- Lead technical onboarding for enterprise customers, from data warehouse connectivity to semantic layer configuration.
- Translate customer goals into optimal WisdomAI configurations that deliver measurable business impact.
- Triage and resolve technical issues while analyzing customer usage and feedback data to generate health and adoption insights that uncover risks and growth opportunities
- Write and tune SQL queries, adjust data models, and configure AI contexts to improve accuracy and performance.
- Troubleshoot integration challenges across cloud data warehouses (Snowflake, BigQuery, Redshift, Databricks, etc.).
- Collaborate with Product and Engineering teams to share customer feedback and shape future features.
- Author technical best-practice guides, reusable configuration templates, and enablement resources.
What You'll Need
- Technical foundation - degree in engineering, computer science, or equivalent experience.
- 4-10 years in a technical customer-facing role (solutions engineer, analytics engineer, data engineer, etc.).
- Strong SQL skills and understanding of relational data modeling.
- Experience with at least one major cloud data warehouse (Snowflake, BigQuery, Redshift, Databricks).Familiarity with the modern data stack (dbt, ETL tools, APIs) is a plus.
- Comfort with basic scripting (Python, Bash, Terraform) to support integrations and automation.
- Excellent communication skills for both technical and business audiences.
- Experience in a startup or high-growth environment is a plus.
Why Join Us:
Shape the future of AI-powered analytics with a fast-growing, well-funded startup.
Work directly with enterprise customers and see the impact of your solutions.
Collaborate with a team backed by world-class investors.
Competitive compensation, equity, and benefits.
Top Skills
APIs
Bash
BigQuery
Databricks
Dbt
Etl Tools
Python
Redshift
Snowflake
SQL
Terraform
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