langfuse - Product Marketing Lead

Remote - USA1mo ago

Remote Staff NA Cloud Computing Artificial Intelligence Growth Lead Brand Ambassador Digital Marketing Market Research Customer Onboarding Sales Enablement SQL

Requirements

• You have meaningful experience in product marketing, developer marketing, DevRel, growth, or GTM for a technical product • You have marketed to developers, infrastructure teams, AI teams, data teams, security teams, or another highly technical audience • You write exceptionally well. You make complex technical ideas clear without making them shallow • You have strong product intuition and can use the product yourself enough to be credible with engineers, founders, and technical buyers • You understand PLG funnels: activation, onboarding, conversion, lifecycle, product usage signals, self-serve growth, and sales-assisted expansion • You have led launches, positioning, website messaging, sales enablement, customer proof, and product narratives end to end • You can lead through clarity, planning, and execution, whether or not you directly manage people • You have a high quality bar for developer-facing marketing and a low tolerance for vague language, buzzwords, or content that does not help the user • You are comfortable operating in ambiguity and turning messy input from founders, product, sales, users, and the market into a clear plan • You are excited about AI engineering and stay close to what developers are actually building • You have worked in developer tools, open source, observability, databases, data infrastructure, cloud infrastructure, AI tooling, or security • You have built or led product marketing at a fast-growing startup • You have managed PMM, DevRel, growth, content, community, or field marketing teammates • You have experience with both self-serve PLG and enterprise sales-assisted motions • You have original opinions that experienced technical people value • You are comfortable on camera and on stage, but you do not need to be a full-time conference person • You know ClickHouse, SQL, analytics systems, observability, or AI application development • OUR PROCESS (DIFFERS FROM ENGINEERING PROCESS • We can run this process quickly when calendars line up. • 1. Fill out application • 2. We screen your application • 3. Screening Call: Get to know, logistics, open questions, 20 min, remote • 4. Founder Call: Product Marketing leadership deep dive, 40 min, remote • 5. Deep Dive: Product marketing case, writing, and funnel 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 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

• Own Langfuse product marketing strategy and execution across positioning, messaging, launches, customer proof, website narrative, onboarding, funnel, and sales collateral • Build the marketing plan for your area: decide what matters, define the sequence, create the operating cadence, and turn strategy into shipped work • Define and maintain the category story for Langfuse: what we are, what we are not, how we describe LLM observability, evals, prompt management, datasets, agent observability, and the broader LLM engineering workflow • Own the funnel and conversion plan: website conversion, activation, onboarding, lifecycle emails, self-serve-to-sales handoff, product usage signals, and the metrics marketing reviews every week • Partner closely with product and engineering to turn product substance into launches, changelogs, blog posts, product pages, demos, webinars, workshops, and technical proof that developers trust • Make the Langfuse website sharper: clearer homepage narrative, product pages, customer proof, conversion paths, SEO/GEO inputs, and developer-facing explanations that are precise and useful • Build a repeatable launch system across product updates, changelog, blog, social, email, docs, website surfaces, sales enablement, and ClickHouse GTM channels • Lead customer marketing: customer stories, use cases, proof points, quotes, logo strategy, launch references, and reusable sales narratives • Create the canonical first-call / webinar narrative for Langfuse and keep sales, solutions, field, and regional motions aligned around it • Conduct market and competitive analysis across LLM observability, evals, agent observability, prompt management, and related developer tooling • Work with ClickHouse marketing, sales, solutions, and field teams so Langfuse benefits from the larger GTM engine without losing its developer voice • Use AI tools and automation to scale the marketing operating system: research, content review, competitive tracking, customer evidence, reporting, and routine workflows • Lead through clarity, planning, writing, prioritization, and delivery, whether or not you directly manage people

Benefits

• Langfuse is already widely adopted by technical teams, but the category is still being defined. The product has real depth across tracing, evals, prompt management, datasets, metrics, self-hosting, and enterprise workflows. The marketing job is to make that depth clear without flattening it into vague AI platform language. • This role owns the narrative system around Langfuse: how we explain the product, how users understand the path from first trace to production workflows, how launches land, how customer proof is packaged, and how the website, sales narrative, docs, webinars, workshops, and ClickHouse GTM channels reinforce each other. • 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.