About the role
We are looking for a highly technical, client-focused Client Success Engineer to join our team. This role sits at the intersection of engineering, product, data, and client success.
You will work directly with clients to investigate and resolve technical issues, answer complex questions, troubleshoot data discrepancies, and improve the client experience from end to end. Unlike a traditional support role, you will also contribute directly to the product and codebase by diagnosing bugs, implementing fixes, improving tooling, and deploying solutions into production.
This is an ideal role for someone who enjoys solving ambiguous real-world problems, communicating with clients, and using modern AI development tools to move fast and deliver impact.
What you'll do
Investigate and resolve client-reported issues across APIs, dashboards, integrations, and data pipelines
Communicate clearly and professionally with clients throughout the lifecycle of a request
Clarify ambiguous requests and drive issues through resolution with strong ownership and follow-through
Troubleshoot data inconsistencies, platform behavior, and product edge cases
Use AI-powered development tools to diagnose bugs, analyze logs, write code, create fixes, and accelerate delivery
Contribute production-quality code changes across backend services, APIs, internal tooling, and data systems
Collaborate with engineers through peer reviews, testing, deployment, and incident response
Improve internal support tooling, documentation, workflows, and automation
Identify recurring client pain points and partner with Product and Engineering to improve the platform
Help build a fast, AI-enabled support and operations culture focused on client satisfaction and execution excellence
Qualifications
Technical Skills
3+ years experience in a relevant role (client supporting engineering or similar)
CS degree preferred
Strong technical foundation in software engineering, scripting, APIs, and debugging
Comfortable reading and modifying production code
Experience with SQL, APIs, logs, and troubleshooting distributed systems or web applications
Ability to independently investigate complex technical issues
Experience using AI coding tools such as Cursor, Claude, ChatGPT, GitHub Copilot, or similar tools in day-to-day workflows
Comfortable contributing code through pull requests, peer review, CI/CD, and production deployments
Familiarity with cloud infrastructure, data systems, or analytics platforms is a plus
Client & Communication Skills
Excellent written and verbal communication skills
Ability to explain technical concepts clearly to both technical and non-technical users
Strong empathy, professionalism, and client ownership mindset
Comfortable navigating ambiguity and incomplete information
Highly organized with strong attention to detail and follow-through
Bonus Points
Experience working at a SaaS, data, analytics, or API-focused company
Experience supporting developers or technical clients
Familiarity with the music, creator, or entertainment industry
Experience with observability tools, incident management, or production support
Prior experience in startups or high-growth environments