Platform Customer Success Engineer, Data & AI
Core
Enable internal teams to adopt, scale, and optimize enterprise Data & Analytics platform capabilities through hands-on technical support and automation.
Role type
Senior IC Platform Customer Success Engineer (Data & AI)
Builds
AI-powered support capabilities, automation solutions, and self-service experiences for internal engineering teams
Domain
Enterprise Data & Analytics, Cloud Platforms, DevOps
Deliverable
production ML models | product features | infrastructure
Required skills
Data Engineering, Platform Engineering, DevOps Engineering, Cloud Engineering, Databricks, Python Spark/PySpark, SQL, Azure Cloud Services, GitHub, CI/CD pipeline design, distributed computing concepts, cloud infrastructure and networking
Preferred skills
Troubleshooting complex cloud-based platforms, navigating ambiguity, driving continuous improvement
Technologies
Databricks, Azure, GitHub Actions, SonarQube, Snyk, PySpark
Responsibilities
Enable and support internal teams in effectively adopting and building on enterprise platform capabilities; Develop AI-powered support capabilities, automation solutions, and self-service experiences; Partner with data engineers, architects, asset managers, and development teams to design and implement robust technical solutions; Guide users on platform setup, API integration, GitHub workflows, CI/CD implementation, and engineering best practices; Build and promote reusable "golden path" solutions that simplify platform adoption and accelerate delivery; Provide actionable feedback to platform engineering teams to improve platform usability, developer experience, and operational efficiency; Analyze recurring customer challenges and drive continuous improvement initiatives through automation and process optimization
Seniority
Senior, hands-on IC