Customer Success Engineer

5 days ago

Bengaluru, Karnataka, India WisdomAI Full time ₹ 15,00,000 - ₹ 25,00,000 per year

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.

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