Founder's Associate

Langfuse

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profile Job Location:

San Francisco, CA - USA

profile Monthly Salary: € 70 - 110
Posted on: 30+ days ago
Vacancies: 1 Vacancy

Job Summary

About Langfuse

  • 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

  • Were a small engineering-heavy and experienced team in Berlin and San Francisco (how we work)

About the Role

TL;DR

Langfuse is looking for a Founders Associate (FullTime onsite in San Francisco or Berlin) to work directly with the three foundersMax Marc and Clemenson the nutsandbolts of running the company and highvelocity initiatives that unlock our next stage of growth.

You will build processes (hiring finance people reporting) and run speedboat projects to set up news processes & push Langfuses growth (e.g. segmenting customers running analyses using our data stack organizing and hosting invite-only dinners for customers & partners)

This role is perfect for an ambitious handson generalist with a technical bentyoure likely a recent graduate or early in your career. You blend technical fluency (you can use and demo Langfuse build small applications) with commercial intuition.

Why Founders Associate at Langfuse

  • Ride Shotgun with Marc & Clem: Work daytoday with Marc (CEO product/marketing) and Clemens (COO sales).

  • 10 Learning Curve: Work across ops sales finance & product

  • You Ship: No decks or busy work - you work on what currently moves the needle

The Role

1) Operational Backbone

  • People Ops: Run the endtoend hiring pipeline schedule interviews craft job descriptions (like this one!) and ensure stellar candidate experience.

  • Finance & Accounting: Stand up lightweight accounting processes streamline billing prepare investor reports.

  • Investor Comms: Own reporting draft updates and keep our metrics data room ready.

2) Speedboats

  • Product & Customers: Drive new initiatives: e.g. experiment with new messaging gather customer feedback or build product demos to highlight Langfuses value.

  • Legal Finance & Compliance: Get us in shape to mature our company backbone. E.g. SOC2 Audits implementing a Contract Management System consolidating our two international entities.

  • Fundraising Prep: Help build the narrative model the numbers and assemble materials for our next round.

You are a Fit If

  • Commercial & Tech Background: Hybrid Skill - Youve mixed coding with commercial acumen tell us about this! This could be a side project a prior role and so on.

  • Technical Fluency: You can spin up Langfuse build a demo with an LLM API and explain our value prop to a software engineer.

  • Process Builder: You thrive on turning chaos into a documentation page and sprinkle some n8n and SQL on top so we can tackle the next problem.

  • Bias to Action: Youd rather bring an 80 % solution live today than perfect it over the next quarter.

  • OnSite Mindset: Youre excited to join us in SF or Berlin fully on-site. We can sponsor visas for both locations

Compensation & Benefits

  • Salary: EUR 70-110k (x $1.5 in SF)

  • Equity: Generous Equity Package

  • Hardware & software of your choice

  • Unlimited PTO

  • Complementary Dinner provided

  • Visa sponsorship if needed (Berlin & SF)

Links:

Ready to build the Langfuse Operating System Apply at or email with links to your LinkedIn Github and/or Side Projects.


Required Experience:

Founder

About LangfuseOpen 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 h...
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