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AI Evaluation & Observability
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How Langfuse hires
Truth index
B 75/100
Ghost roles
0%
Stale roles
100%
Reposted roles
0%
Langfuse scores B on the Alion truth index (A is best, E worst), measured over 3 open roles re-checked against its own hiring board: 0% look like ghost listings, 100% have gone stale and 0% are the same role posted again. It measures how much of what this employer publishes turns into a real, finite search - not the employer as a workplace. How the index is computed
News
Capturing Implicit Feedback from Users
Instrument your application so production usage produces quality judgments: explicit ratings, behavioral events, conversation signals, and task outcomes captured as scores on traces.
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Langfuse v4 is live: faster at scale, with more ways to search, monitor, and evaluate - Langfuse
Query and evaluate every agent step directly, with initial table loads in milliseconds and at least 10x faster dashboards for large projects.
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Choosing what to evaluate - Langfuse
How to turn observed failures and product goals into a small set of metrics: where evaluation criteria come from, which candidates deserve tracking, and how many metrics you need.
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MEMANTO - Memory that AI Agents Love!
Langfuse records what went wrong. Memanto remembers the lesson. Inside the new langfuse-memanto integration: why 812 observations collapse into 2 memories, why grouping by error signature is the entire trick, and what a span processor can and cannot see.
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Designing datasets - Langfuse
A practical guide to designing Langfuse datasets with clear scope, realistic inputs, evaluable outputs, useful metadata, and interpretable experiment results.
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Good Evals Are Boring
How to write evaluators you can trust: verifiable checks where possible, one binary judge per failure mode, prompts built from labeled examples, and validation against your own labels.
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Yes, you can copy our eval setup - Langfuse
Evals need to be custom to your app. At least some of them. A good chunk you can, and should be copying. Here is our setup for our docs chatbot.
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ClickHouse raises $400M Series D led by Dragoneer to accelerate expansion across analytics and AI infrastructure
ClickHouse acquires Langfuse to enter LLM observability and introduces a native Postgres service to unify transactional and analytical workloads
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Designing the runtime for Langfuse code evaluators - Langfuse
Code evaluators let you score traces with your own Python or TypeScript code. A look at the execution model behind them: the requirements, the options we rejected, and the security stance we adopted.
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Traces of RCE: Exploiting Langfuse Prototype Pollution
An authenticated OTel trace with maliciously crafted attribute key can enable cross-project trace exposure and remote code execution.
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Tech stack
Technologies named in job postings at Langfuse over the last 12 months, by layer, with the share of postings for each.
Technologies in use
42
Postings analysed
7
Stack modernity
80/100AI adopter
Languages
JavaScript
TypeScript
Python
Go
Frameworks & libraries
React.js
Next.js
OpenTelemetry
CrewAI
Databases
ClickHouse
PostgreSQL
Redis
Cloud & platforms
Datadog
GitHub
Amazon S3
AWS
AI & ML
LLM
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Full Langfuse tech stack
42 technologies · by team · pay by technology · changes · similar stacks
Salary insights
Compensation ranges based on this company's open jobs
Median
$186k
Typical range
$186k
Open positions
3
3
Jobs
Senior
100%
| Level | Jobs | Median | Typical range |
|---|---|---|---|
| Senior | 3 | $186k | $186k |
Highest paying role
Senior Backend Engineer (Data Infrastructure)
$186k
Normalized to USD per year
Growth
Hiring Momentum
51/100
Stable
Open positions
6
0 opened / 1 closed in 30 days
Median time-to-fill
210 days
faster than 9% of the market
ATS activity
Every ~3 hours
Today
Hiring Dynamics
+100%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
Marketing
67% ▼
Product
33% ▼
Activity Timeline
Added X (Twitter) to stack
Sep 2026
Added Vercel AI SDK to stack
Sep 2026
Added OpenAI to stack
Aug 2026
Added LiveKit to stack
Aug 2026
Added AWS Bedrock AgentCore to stack
Aug 2026
Added Model Context Protocol to stack
Aug 2026
Added IAM to stack
Aug 2026
Added GitHub to stack
Aug 2026
Added Amazon S3 to stack
Aug 2026
Added Amazon ECS to stack
Aug 2026
Offices
Where the company hires and what each office is for
Cities
6
Hiring now
5
Countries
5
Busiest office
Berlin
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Headquarters
Builds here
Office with open vacancies
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San Francisco
United States
HQ
Berlin
Germany
Engineering / R&D
4 open roles 1 posted in 90 days 75% engineering 1-10 est. staff $186k Avg Salary
hires for Backend, DevOps, Marketing
Paris
France
Engineering / R&D
3 open roles 100% engineering 1-10 est. staff $186k Avg Salary
hires for Backend, DevOps
Zurich
Switzerland
Engineering / R&D
3 open roles 100% engineering 1-10 est. staff $186k Avg Salary
hires for Backend, DevOps
London
United Kingdom
Engineering / R&D
3 open roles 100% engineering 1-10 est. staff $186k Avg Salary
hires for Backend, DevOps
Munich
Germany
Engineering / R&D
3 open roles 100% engineering 1-10 est. staff $186k Avg Salary
hires for Backend, DevOps
Jobs
≈ $95k – $250k per year (Estimated) • Remote (United States, European time zones hours) • Full-Time
JavaScript
TypeScript
PostgreSQL
Redis
ClickHouse
AI/ML
Langfuse
LLM
Frontend
Next.js
React.js
DevOps
Datadog
Docker
GitHub
Amazon S3
Management
Slack
Apply
$101k – $179k per year • In office • Full-Time • Zurich • Munich • Paris • Berlin • London
JavaScript
TypeScript
PostgreSQL
Redis
ClickHouse
AI/ML
Langfuse
LLM
Frontend
Next.js
React.js
DevOps
Terraform
Docker Compose
Helm
CloudFormation
Datadog
Pulumi
CI/CD
AWS
Docker
Kubernetes
AWS Fargate
GitHub
Amazon S3
IAM
Amazon ECS
Management
Slack
Apply
$101k – $179k per year • In office • Full-Time • Zurich • Munich • Paris • Berlin • London
Python
JavaScript
TypeScript
PostgreSQL
Redis
ClickHouse
AI/ML
Model Context Protocol
Langfuse
LLM
Frontend
Next.js
React.js
DevOps
Terraform
OpenTelemetry
Datadog
Docker
GitHub
Amazon S3
Management
Slack
Apply
$101k – $179k per year • In office • Full-Time • Zurich • Munich • Paris • Berlin • London
JavaScript
TypeScript
SQL
PostgreSQL
Redis
ClickHouse
AI/ML
Langfuse
LLM
Frontend
Next.js
React.js
DevOps
Docker Compose
Datadog
Docker
GitHub
Amazon S3
Management
Slack
Apply
Financials
Total raised
$4M
Latest round
Seed
Funding rounds
1
Funding rounds
| Round | Announced | Amount | |
|---|---|---|---|
| Seed | 2023 | $4M | Details |
