
Customer Sucess Engineer
6 days ago
Role Overview: 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
What You'll Do Lead technical onboarding for enterprise customers, from data warehouse connectivity to semantic layer configuration. Understand customer business goals and translate them into optimal WisdomAI setups. 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. Produce technical best-practice guides, reusable configuration templates, and enablement resources. What You'll Need Technical foundation — degree in engineering, computer science, or equivalent experience. 3–6 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
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