GTM Engineer / Technical Sales at Langfuse
TLDR; Langfuse is building open source dev tooling for LLM apps based on observability/tracing. We have significant traction (we’re default alive), growing fast, and are looking for a technical profiles to build out our Go To Market functions in-person either in San Francisco or Berlin, Germany.
Background
Langfuse is the open-source LLM engineering platform, helping engineers understand user interactions with LLM applications and improve them. We work with great customers like Twilio, SumUp, and KhanAcademy and have raised a seed round from Y Combinator, Lightspeed, and General Catalyst. Tens of thousands of engineers rely on Langfuse - learn more about us here.
Your Role
As an early GTM hire, you’ll shape Langfuse’s commercial engine end-to-end:
Technical Sales in an inbound-led motion:
Help customers adopt and understand Langfuse for their use cases.
Own the full sales cycle: lead prioritization, product-led lead generation, pipeline management, technical POCs, negotiations, and closing deals.
Develop customer success strategies to ensure retention, upsells, and product adoption.
Build feedback loops between sales, support and product development.
Process & Systems
Design and implement CRM workflows, sales pipelines, and documentation (public sales materials, contracts, order forms).
Experiment with pricing, packaging, and sales strategies for both sales-led and product-led motions.
Maintain a rigorous system for tracking leads, engagement, and outcomes.
Technical & Commercial Insight
Understand Langfuse’s architecture and use cases to articulate our value proposition effectively.
Translate customer requirements (technical, compliance, business) into actionable product feedback.
Collaborate with product teams to align the commercial roadmap with customer needs.
Requirements
Hands-on experience in technical sales or customer success at a SaaS/devtool startup.
Proficiency with CRM tools (e.g., HubSpot, Salesforce) and sales automation.
Strong technical aptitude; familiarity with LLM/observability tools is a plus.
Willingness to work in-person ~4 days/week.
Bonus Points
You’ve used Langfuse (sign up for a free account here) and understand our docs.
Experience in selling in open-source or developer-focused products.
Entrepreneurial mindset with a track record of building processes from scratch.
Experience in navigating enterprise POCs with technical leadership as key decision makers.
Why Langfuse?
Selling to sophisticated technical users
Competitive salary & equity compensation
Strong customer & revenue growth
You are joining really early
Extreme autonomy
Performance and learning focused culture
Everyone on the team says: "best place I've ever worked at"
2 short scheduled meetings per week
Our Process
We can run this process in less than 7 days:
Fill out application
We screen your application
First Call: Quick intro & chat about logistics
Second Call: Founder Deepdive (40mins), remote
Third Call: Technical Deep Dive interview (60min)
Super Day ( half or full day in Office, remote in some cases)
Meet the other founders (short calls)
Decision & Offer
Team & Culture
You’ll join our early core team, working closely with the founders Clemens (COO, sales) and Marc (CEO, product/marketing). Clemens is based in SF and Marc in Berlin, Germany. We prioritize in-office collaboration and the role can be based out of either office.
Learn more about Langfuse through our Handbook
Further Links:
Ben Kuhn on Impact, Agency and Taste
How Posthog does sales
Clay: The Rise of the GTM Engineer
Top Skills
What We Do
Langfuse is the 𝗺𝗼𝘀𝘁 𝗽𝗼𝗽𝘂𝗹𝗮𝗿 𝗼𝗽𝗲𝗻 𝘀𝗼𝘂𝗿𝗰𝗲 𝗟𝗟𝗠𝗢𝗽𝘀 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺. It helps teams collaboratively develop, monitor, evaluate, and debug AI applications.
Langfuse can be 𝘀𝗲𝗹𝗳-𝗵𝗼𝘀𝘁𝗲𝗱 in minutes and is battle-tested and used in production by thousands of users from YC startups to large companies like Khan Academy or Twilio. Langfuse builds on a proven track record of reliability and performance.
Developers can trace any Large Language model or framework using our SDKs for Python and JS/TS, our open API or our native integrations (OpenAI, Langchain, Llama-Index, Vercel AI SDK). Beyond tracing, developers use 𝗟𝗮𝗻𝗴𝗳𝘂𝘀𝗲 𝗣𝗿𝗼𝗺𝗽𝘁 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁, 𝗶𝘁𝘀 𝗼𝗽𝗲𝗻 𝗔𝗣𝗜𝘀, 𝗮𝗻𝗱 𝘁𝗲𝘀𝘁𝗶𝗻𝗴 𝗮𝗻𝗱 𝗲𝘃𝗮𝗹𝘂𝗮𝘁𝗶𝗼𝗻 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 to improve the quality of their applications.
Product managers can 𝗮𝗻𝗮𝗹𝘆𝘇𝗲, 𝗲𝘃𝗮𝗹𝘂𝗮𝘁𝗲, 𝗮𝗻𝗱 𝗱𝗲𝗯𝘂𝗴 𝗔𝗜 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝘀 by accessing detailed metrics on costs, latencies, and user feedback in the Langfuse Dashboard. They can bring 𝗵𝘂𝗺𝗮𝗻𝘀 𝗶𝗻 𝘁𝗵𝗲 𝗹𝗼𝗼𝗽 by setting up annotation workflows for human labelers to score their application. Langfuse can also be used to 𝗺𝗼𝗻𝗶𝘁𝗼𝗿 𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗿𝗶𝘀𝗸𝘀 through security framework and evaluation pipelines.
Langfuse enables 𝗻𝗼𝗻-𝘁𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝘁𝗲𝗮𝗺 𝗺𝗲𝗺𝗯𝗲𝗿𝘀 to iterate on prompts and model configurations directly within the Langfuse UI or use the Langfuse Playground for fast prompt testing.
Langfuse is 𝗼𝗽𝗲𝗻 𝘀𝗼𝘂𝗿𝗰𝗲 and we are proud to have a fantastic community on Github and Discord that provides help and feedback. Do get in touch with us!







