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Technical product advocacy role for Langfuse: build demos, write docs and launch content, speak at events, run deep dives and workshops, collaborate with product and engineering, and translate LLM observability and prompt management features into clear technical messaging for AI engineering teams.

Own Langfuse's events and community developer-relations motion: plan and run conferences, meetups, workshops, demos, and customer events; speak and run technical sessions; build repeatable event assets and runbooks; partner with product, sales, and ClickHouse; capture feedback into messaging, docs, and product improvements.

Lead product marketing for Langfuse: define positioning, category narrative, launches, website and funnel optimization, sales enablement, customer proof, and developer-facing content. Partner with product, engineering, and ClickHouse GTM to drive PLG activation, onboarding, conversion, and enterprise handoffs while executing launches, metrics, and repeatable marketing operations.

Technical product advocacy role focused on Langfuse's LLM observability, tracing, evals, and prompt management. Create technical content, demos, docs, workshops, and launch materials; build runnable examples; speak at events; collaborate with product and engineering; and turn user and market feedback into clearer product communication and positioning.

Design and build critical IAM and billing infrastructure for Langfuse, enabling secure user management and accurate usage-based invoicing. Collaborate with teams to ensure seamless integration of authentication and authorization systems, while supporting self-hosted deployments for enterprise clients.

Build and maintain growth-focused product features and analytics. Own data stack (PostHog, BigQuery, DBT, Metabase), run experiments to improve funnel and activation, ship full‑stack improvements across frontend and backend, and create growth loops to increase adoption and expansion.

Own and ship full-stack product features end-to-end for an open-source LLM observability platform: design specs, implement frontend and backend work (TypeScript/React, ClickHouse, Python), talk to users, write docs, and improve developer experience while collaborating in a small engineering team.

Own and scale the ingestion pipeline and backend abstractions for high-throughput AI tracing data. Optimize ClickHouse schemas and queries, operate Langfuse Cloud and self-hosted deployments, and build infrastructure-heavy features that enable product engineers to ship data-heavy capabilities.

Own and improve Langfuse SDKs (Python and TypeScript), ensuring reliability, performance, API design, integrations with AI frameworks, OpenTelemetry support, documentation, and developer experience.

As a Senior Cloud Infrastructure Engineer, you will manage Langfuse's cloud operations on AWS, ensuring high uptime and performance while optimizing costs. You'll own the observability setup with Datadog, automate processes, and make self-hosting seamless for users. You'll also focus on scaling infrastructure and maintaining security compliance.