ClickHouse

2 months ago

Solutions Architect - LangFuse APJ

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

LangFuse Solutions Architect role sits at the center of ClickHouse’s AI observability story, combining pre-sales, technical advisory, and ecosystem engagement. You will lead technical evaluations for LLM applications, design scalable reference implementations, and drive pipeline opportunities while representing ClickHouse + Langfuse to AI engineers and CTOs across APJ.

Location: Australia, Singapore, India

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Lead technical evaluations with AI engineering teams considering ClickHouse and Langfuse as core observability data stores, from architecture review through POC and production deployment
•Engage directly with data engineers, ML engineers, and platform architects to map LLM application stack requirements to ClickHouse capabilities
•Collaborate with customer organizations from individual contributors to CTOs to understand evaluation workflows, trace volumes, and query patterns
•Design and deliver reference implementations, schema designs, and ingestion patterns optimized for LLM trace data at scale
•Develop ecosystem relationships and contribute to GTM opportunities by sourcing and qualifying pipeline passes and coordinating with AEs

Pay and Benefits

Salary: USD 200,000 - 250,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceEquityTime OffHome OfficeGlobal Gatherings

Key Requirements

•Hands-on experience in the LLM observability or AI monitoring space
•Technical depth in the modern AI stack (prompt engineering, RAG architectures, evaluation frameworks)
•Customer-facing experience (pre-sales, solutions engineering, developer advocacy, or technical account management)
•Strong foundation in data infrastructure (analytical databases, distributed systems, cloud infrastructure; familiarity with ClickHouse, Postgres, or columnar databases)
•Open source orientation and community engagement experience

Experience:LLM observabilityAI observabilityAnalyticsData infrastructure

Skills:ClickHouseLangfusePostgreSQLCloudLLMRAGPrompt engineeringAnalyticsObservabilityData ingestionSchema design

Languages:English

Tech Stack:ClickHouseLangfusePostgreSQLCloudLLMRAGPrompt engineeringGitHubArchitectureInfrastructure

Company Brief

ClickHouse

Develops ClickHouse, a high-performance open-source columnar database for real-time analytics, enabling fast querying and processing of large volumes of data for analytics, monitoring, and business intelligence workloads.

Industry: Data Infrastructure

Headquarters: Menlo Park, United States

Founded: 2016

Website LinkedIn

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ClickHouse

2 months ago

Solutions Architect - LangFuse APJ

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Location: Australia, Singapore, India

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Lead technical evaluations with AI engineering teams considering ClickHouse and Langfuse as core observability data stores, from architecture review through POC and production deployment
•Engage directly with data engineers, ML engineers, and platform architects to map LLM application stack requirements to ClickHouse capabilities
•Collaborate with customer organizations from individual contributors to CTOs to understand evaluation workflows, trace volumes, and query patterns
•Design and deliver reference implementations, schema designs, and ingestion patterns optimized for LLM trace data at scale
•Develop ecosystem relationships and contribute to GTM opportunities by sourcing and qualifying pipeline passes and coordinating with AEs

Pay and Benefits

Salary: USD 200,000 - 250,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceEquityTime OffHome OfficeGlobal Gatherings

Key Requirements

•Hands-on experience in the LLM observability or AI monitoring space
•Technical depth in the modern AI stack (prompt engineering, RAG architectures, evaluation frameworks)
•Customer-facing experience (pre-sales, solutions engineering, developer advocacy, or technical account management)
•Strong foundation in data infrastructure (analytical databases, distributed systems, cloud infrastructure; familiarity with ClickHouse, Postgres, or columnar databases)
•Open source orientation and community engagement experience

Experience:LLM observabilityAI observabilityAnalyticsData infrastructure

Skills:ClickHouseLangfusePostgreSQLCloudLLMRAGPrompt engineeringAnalyticsObservabilityData ingestionSchema design

Languages:English

Tech Stack:ClickHouseLangfusePostgreSQLCloudLLMRAGPrompt engineeringGitHubArchitectureInfrastructure

Company Brief

ClickHouse

Industry: Data Infrastructure

Headquarters: Menlo Park, United States

Founded: 2016

Website LinkedIn