Senior Product Engineer

🕒 March 18

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Langfuse

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2022

🤖 Artificial Intelligence

☁️ SaaS

🔌 API

💰 $4M Seed Round - Langfuse on 2023-11

Artificial Intelligence • SaaS • API

Langfuse is an open-source LLM engineering platform that provides observability, tracing, prompt management, evaluation, and metrics for large language model applications. It offers hosted SaaS and self-hosting options, SDKs (Python, JS/TS), integrations with OpenTelemetry and many LLM/agent libraries and providers, and APIs to capture traces, debug failures, track prompts, run evaluations, and analyze costs and latency. Langfuse targets engineering and data teams building production LLM apps and emphasizes security and enterprise compliance (SOC 2, ISO 27001, HIPAA).

📋 Description

• Own features end-to-end: from talking to users, to writing the spec, to shipping the code and docs, to writing the changelog post with your name on it. • Work across the full stack: and we mean full. Our surface area is wide: React frontend, Next.js backend, ClickHouse analytics, Python and TypeScript SDKs, public docs, Terraform modules, and more. • Talk to users constantly: jump on calls, respond in community channels, and route support requests. • Write public documentation about the features you own. • Ship publicly during Launch Weeks: we've run four Launch Weeks so far, dropping a new feature every day for a week. • You're never alone. Anyone from the team is happy to go into a whiteboard session with you.

🎯 Requirements

• Someone who has built features or even entire products from scratch end-to-end • Experience building and shipping user-facing products end-to-end, ideally in TypeScript/React and with exposure to data-intensive backends • Someone who can manage projects themselves. You know how to develop strong conviction about what to build and how to ship it. • Taste for great developer experience: you care about API design, UI details, and clear documentation • Interest in open source software and genuine excitement about talking to developers about their problems • Thrives in a small, accountable team where your output is visible and matters • CS or quantitative degree preferred. • Bonus points: Experience with ClickHouse, analytics databases, or building complex data visualizations • Bonus points: Former founder or early startup experience • Bonus points: Contributions to popular open source projects • Bonus points: ML/AI background or familiarity with the LLM framework ecosystem

🏖️ Benefits

• Offers Equity