We just announced our $3M Pre-Seed. Watch our ā launch video.
You are the primary technical partner for our most strategic accounts. You improve net revenue retention through adoption, outcomes, and proactive risk management ā and create a tight feedback loop from customers back to product.
You understand AI architectures deeply enough to have opinions. You write docs that engineers actually follow. You close loops rather than escalate them.
Open Source LLM Engineering Platform ā the Datadog of AI observability. Trusted by 19 of the Fortune 50, 2k+ customers, 26M+ monthly SDK downloads. Now part of ClickHouse.
Own 10-20 strategic accounts ā Onboarding, success planning, deep dives into their AI architecture. Drive adoption and expansion across the full lifecycle.
Guide production readiness ā Instrumentation strategy, evaluation setup, data modeling, security and privacy, operational playbooks. You have been here before.
Lead escalations ā Own triage, root-cause coordination, and clear customer communication during high-severity moments. Establish runbooks to prevent repeat issues.
Close the product feedback loop ā Aggregate patterns, translate into actionable problem statements, and create durable collateral that scales across all customers.
Nice-to-have: devtools/OSS experience, observability concepts, technical writing or enablement track record
Langfuse is an open-source LLM engineering platform that helps teams build production-grade LLM applications faster, and it is used by thousands of teams worldwide.
Know someone who'd be great for this?
$4M
raised
Open-source LLM observability platform Langfuse raised a $4M seed round from Lightspeed Venture Partners, La Famiglia and Y Combinator