Langfuse · 3 months ago
Technical Customer Success ( San Francisco )
Langfuse is the open-source LLM engineering platform that helps engineers understand user interactions with LLM apps and improve them. They are seeking a Customer Success Engineer to shape how Langfuse partners with users, ensuring successful onboarding and adoption.
Artificial Intelligence (AI)Developer ToolsSaaS
Responsibilities
Help new users and customers onboard and succeed with Langfuse
Provide hands-on guidance and best practices for LLM observability and evaluation
Serve as the main point of contact for technical and operational questions
Track product adoption and proactively reach out to help customers deepen usage
Identify upsell opportunities and contribute to retention and growth
Translate customer needs into actionable product feedback
Build and maintain feedback loops between users, success, and product teams
Help shape documentation and learning resources to reduce friction
Build and maintain workflows for tracking adoption, success metrics, and customer health
Document playbooks, best practices, and internal tooling for the success function
Partner with sales and product to align priorities across the user lifecycle
Qualification
Required
Experience in customer success, solutions engineering, or technical account management at a SaaS/devtool company
Strong technical aptitude — able to understand APIs, logs, and developer workflows
Excellent communication and problem-solving skills
Comfortable working cross-functionally in a fast-moving startup
Willingness to work in-person ~4 days/week
Preferred
You've used Langfuse (sign up for a free account here)
Familiarity with open-source or developer-focused products
Experience supporting or building with LLM/AI tools
Entrepreneurial mindset — you enjoy building new processes and solving ambiguous problems
Benefits
Competitive salary & equity.
Extreme autonomy and focus on outcomes.
Team culture described by everyone as “the best place I’ve ever worked.”
Company
Langfuse
Open source observability & analytics for LLM apps
Funding
Current Stage
Early StageTotal Funding
$4M2026-01-16Acquired
2023-11-07Seed· $4M
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