Open Source LLM Engineering Platform that helps teams build useful AI applications via tracing, evaluation, and prompt management (mission, product)
We have the chance to build the "Datadog" of this category; model capabilities continue to improve but building useful applications is really hard, both in startups and enterprises
Largest open source solution in this category: >2k customers, >14M monthly SDK downloads, >6M docker pulls
We raised money from world class investors (Y-Combinator, Lightspeed, General Catalyst) and are default alive by making more money than we spend
We're a small, engineering-heavy, and experienced team in Berlin and San Francisco (how we work)
We have strong traction, are default alive, and growing fast. We’re now looking for a Solutions Architect to join our team in person in San Francisco or Berlin.
As the first Solutions Architect, you’ll shape how Langfuse partners with users and customers to ensure successful onboarding, adoption, and long-term growth. You’ll work closely with founders, engineering, and GTM teams to help technical users get the most out of Langfuse.
Act as a trusted advisor to technical stakeholders from cutting edge AI companies using and scaling Langfuse.
Lead technical onboarding with Langfuse and advise on architecture, implementation like tracing set up, Evals, and general AI Engineering Life Cycle.
Provide hands-on guidance and best practices for LLM observability and evaluation.
Help customers debug issues as the main point of contact for technical and operational questions.
Track product adoption and proactively reach out to help customers increase value from Langfuse.
Translate customer needs into actionable product feedback.
Build and maintain feedback loops between users, sales, 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.
Experience in solutions engineering, solutions architect, forward deployed engineer at a SaaS/devtool company.
Strong technical aptitude, comfortable to debugging APIs, code, logs, and understands 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.
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.
Work with sophisticated technical users and top engineering teams.
Competitive salary & equity.
Rapid customer and revenue growth.
Join early and shape the company’s culture and processes.
Extreme autonomy and focus on outcomes.
Team culture described by everyone as “the best place I’ve ever worked.”
Only two short scheduled meetings per week.
You’ll join our early core team, working closely with Marc (CEO, product/GTM) and Akio (Founding GTM). We prioritize in-office collaboration, learning, and ownership.
Learn more about us at langfuse.com/handbook.
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