langfuse - Developer Relations Engineer (Content)

Remote - USA4w ago

Remote Senior NA Artificial Intelligence Developer Tools Content Writer Sales Engineer Product Marketing Technical Writing Digital Marketing SQL Close

Requirements

• You are an engineer, data scientist, developer advocate, product marketing engineer, or technical product marketer who can go deep on the product • You have 5+ years of relevant experience across engineering, technical product marketing, DevRel, data science, technical writing, developer tools, or a similar technical field. Exact title matters less than work quality • You can write exceptionally well. You make complex technical ideas feel simple without making them shallow • You can code enough to build examples, inspect SDKs, understand traces, and be credible with strong engineers • You can advocate for a technical product in person and in writing. You are comfortable explaining why something matters, not just how it works • You have taste in good content and strong opinions about what makes technical writing useful • You can own projects end to end, from messy input to shipped public asset • You can collaborate well across product, engineering, marketing, sales, solutions, support, and ClickHouse counterparts • You are curious about AI engineering and stay close to what developers are actually building • You already have an audience, or clear evidence that experienced technical people value your explanations • You have worked in engineering, product marketing engineering, DevRel, data infrastructure, observability, databases, AI tooling, or developer tools • You are deep in LLM applications, agents, evals, prompt engineering, RAG, or observability • You have run benchmarks, written competitive deep dives, or produced opinionated technical market analysis • You have spoken at technical events, organized developer events, run workshops, or built community around a technical product • You contribute to open-source projects • You are comfortable on camera and on stage • You know ClickHouse, SQL, analytics systems, or data infrastructure • We can run this process quickly when calendars line up. • 1. Fill out application • 2. We screen your application • 3. Screening Call: Quick intro and logistics, remote • 4. Founder Call: Founder / Product Marketing deep dive, 40 min, remote • 5. Deep Dive: Technical product explanation, writing, and demo deep dive, 60 min, remote • 6. Super Day: half or full day with the team, in office when possible, remote in some cases • 7. Meet the other founders, short calls • 8. Decision and offer • All repos: https://github.com/langfuse • Company handbook: https://langfuse.com/handbook • Team: https://langfuse.com/handbook/chapters/team • How we hire: https://langfuse.com/handbook/how-we-hire • Blog: https://langfuse.com/blog • Docs: https://langfuse.com/docs • Changelog: https://langfuse.com/changelog • Careers: https://langfuse.com/careers/careers • SOME TECHNICAL PRODUCT MARKETING WORK WE LIKE • Vercel: developer-first product marketing, launch quality, and high-trust content • Sentry: developer-first marketing for observability, performance, product launches, and digital conversion • ClickHouse: technical product marketing, benchmarks, practitioner-led content, and infrastructure category building • Swyx / Latent Space: original market framing, technical taste, and public point of view • Simon Willison: technical writing with a clear point of view • We can run the full process to your offer letter in less than 7 days (hiring process https://langfuse.com/handbook/how-we-hire/hiring-process). • We run a TypeScript monorepo: Next.js on the frontend, Express workers for background jobs, PostgreSQL for transactional data, ClickHouse for tracing at scale, S3 for file storage, and Redis for queues and caching. You should be familiar with a good chunk of this, but we trust you'll pick up the rest quickly (Stack https://langfuse.com/handbook/product-engineering/tech-stack, Architecture https://langfuse.com/handbook/product-engineering/architecture). • Link to handbook https://langfuse.com/handbook/how-we-work/principles • We trust you to take ownership (ownership overview https://langfuse.com/handbook/how-we-work/ownership) for your area. You identify what to build, propose solutions (RFCs), and ship them. Everyone here thinks about the user experience and the technical implementation at the same time. Everyone manages their own Linear. • You're never alone. Anyone from the team is happy to go into a whiteboard session with you. 15 minutes of shared discussion can very much improve the overall output. • We implement maker schedule and communication. There are two recurring meetings a week: Monday check-in on priorities (15 min) and a demo session on Fridays (60 min). • Code reviews are mentorship. New joiners get all PRs reviewed to learn the codebase, patterns, and how the systems work (onboarding guide https://langfuse.com/handbook/product-engineering/how-we-work/onboarding). • We use AI as much as possible in our workflows to make our users happy. We encourage everyone to experiment with new tooling and AI workflows.

Responsibilities

• Become a Langfuse subject matter expert across tracing, evals, prompt management, datasets, metrics, self-hosting, and the broader AI engineering workflow • Create product and technical marketing content: blog posts, product deep dives, guides, cookbooks, benchmarks, demos, webpages, docs, conference talks, social posts, launch videos, and more • Translate technical features and nuance into clear value propositions that help developers and teams understand why Langfuse matters • Work closely with product, engineering, and the ClickHouse product marketing team to launch new capabilities with sharp positioning and useful technical proof • Make our documentation, guides, and examples the best in the category • Build demo apps, code examples, and workshop material that users can actually run • Speak at, organize, and attend high-signal in-person events for AI engineers, including conferences, meetups, workshops, customer sessions, and ClickHouse field moments • Turn events into reusable product education: talks, demos, workshop repos, follow-up content, customer questions, sales learnings, and better positioning • Help define our content strategy and roadmap based on product priorities, customer questions, community signals, search demand, and what is happening in AI engineering right now • Conduct competitive and market analysis across LLM observability, evals, agent observability, prompt management, and related developer tooling • Use metrics and feedback to understand what is working, improve what is not, and recommend what we should do next • Spend time with users, community members, sales, solutions, and support so our product communication is grounded in real customer problems

Benefits

• This role puts you at the forefront of the AI revolution, partnering with engineering teams who are building the technology that will define the next decade(s). • This is an open-source devtools company. We ship daily, talk to customers constantly, and fight for great DX. Reliability and performance are central requirements. • Your work ships under your name. You'll appear on changelog posts https://langfuse.com/changelog for the features you build, and during launch weeks, you'll produce videos https://langfuse.com/blog/2025-10-29-launch-week-4 to announce what you've shipped to the community. You’ll own the full delivery end to end. • We're solving hard engineering problems: figuring out which features actually help users improve AI product performance, building SDKs developers love, visualizing data-rich traces, rendering massive LLM prompts and completions efficiently in the UI, and processing terabytes of data per day through our ingestion pipeline. • You'll work closely with the ClickHouse team and learn how they build a world-class infrastructure company. We're in a period of strong growth: Langfuse is growing organically and accelerating through ClickHouse's GTM. (Why we joined ClickHouse https://langfuse.com/blog/joining-clickhouse) • If you wonder what to build next, our users are a Slack message or a Github discussions post away. • You’re on a continuous learning journey. The AI space develops at breakneck speed and our customers are at the forefront. We need to be ready to meet them where they are and deliver the tools they need just-in-time.