Customer Success Engineer

Overview

Lead technical customer consultation and support, onboarding customers to Skyflow smoothly and effectively and acting as a trusted technical advisor to accelerate their time-to-value.

What you'll do

• Gain deep technical understanding of Skyflow's product and integration capabilities to engage with stakeholders in customer organizations
• Write basic code samples for customers to reference during implementation
• Steward customers through the technical onboarding process
• Serve as the initial technical support point of contact for customers during and after implementation
• Consistently achieve successful results, even under tough circumstances
• Show adaptability when gaining support from varying audiences
• Leverage AI tools and automation to streamline onboarding, documentation, troubleshooting, and support workflows, enabling scalable customer success operations
• Identify and implement AI-driven opportunities to reduce manual effort, accelerate time-to-value, and enhance proactive customer insights and engagement

What you'll need

• 5+ years of technical experience working on SaaS technology platforms
• 3+ years of experience in customer-facing roles
• Passion for customers and continuous improvement
• Ability to effectively communicate complex technical concepts (written and verbal)
• Working experience with cloud technologies (Amazon Web Services, Google Cloud Platform, and/or Microsoft Azure)
• Experience with API-centric development technologies (OAS, GraphQL, REST, microservices patterns and concepts)
• Experience with both client-side and server-side SDKs
• Experience with data architectures (databases, NoSQL data stores, ETL, integration, etc.)
• Application-level security experience (AuthN, AuthZ, key management, PBAC, ABAC, RBAC)
• Experience in ideating solutions and working with technology partners
• Experience working with end users and an ability to articulate their challenges
• An ability to execute efficiently in an ambiguous environment
• Experience leveraging AI tools and AI-assisted development platforms (e.g., copilots, LLMs, workflow automation tools) to accelerate implementation, improve troubleshooting, and deliver customer value faster
• Familiarity with integrating AI-driven analytics or automation into customer-facing workflows to improve scalability, insight generation, and operational efficiency

Details

• Location: LATAM