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Manager Clickhouse Jobs in California (NOW HIRING)

Solutions Architect - Langfuse

San Francisco, CA · On-site

$74.25 - $97.75/hr

ClickHouse is recognized as one of the most innovative private cloud companies, focusing on real ... management. You've navigated technical conversations with real stakes and know how to build trust ...

Solutions Architect

San Francisco, CA · On-site

$74.25 - $97.75/hr

Hands-on experience with ClickHouse, DuckDB, Druid, Pinot, BigQuery, Snowflake, or similar is a strong plus. • Some customer-facing experience -- whether in pre-sales, technical account management ...

Solutions Architect

San Francisco, CA · On-site

$74.25 - $97.75/hr

Hands-on experience with ClickHouse, DuckDB, Druid, Pinot, BigQuery, Snowflake, or similar is a strong plus. • Some customer-facing experience -- whether in pre-sales, technical account management ...

Solutions Architect

San Francisco, CA

$74.25 - $97.75/hr

Hands-on experience with ClickHouse, DuckDB, Druid, Pinot, BigQuery, Snowflake, or similar is a strong plus. * Some customer-facing experience - whether in pre-sales, technical account management ...

Hands-on experience with ClickHouse, DuckDB, Druid, Pinot, BigQuery, Snowflake, or similar is a strong plus. * Some customer-facing experience - whether in pre-sales, technical account management ...

Sr. Product Manager

San Jose, CA · On-site

$148K - $195K/yr

... PostgreSQL, ClickHouse, and OpenSearch-at scale and with confidence. Our platform handles ... Responsibilities As the Product Manager - AI Market Segment, you'll combine deep knowledge of AI ...

Sr. Product Manager

San Jose, CA · On-site

$148K - $195K/yr

... PostgreSQL, ClickHouse, and OpenSearch-at scale and with confidence. Our platform handles ... Responsibilities As the Product Manager - AI Market Segment, you'll combine deep knowledge of AI ...

... management • Supplier integrations • Strong understanding of layered .NET architecture ... ClickHouse (analytics) o Elasticsearch (search) o Experience building complex, data-heavy ...

Optimize the ClickHouse OLAP layer: schema design, partitioning, skip indexes, full-text-search ... Experience building systems that call LLM APIs at scale, including rate-limit management, retries ...

Senior Infrastructure Engineer

San Francisco, CA · On-site

$127K - $173K/yr

... managed deployments. Deployment quality directly affects whether they can use us. * The systems are real. High-throughput ingestion, stateful services, workflow orchestration, ClickHouse, LLM scoring ...

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Manager Clickhouse information

What is the difference between Manager Clickhouse vs Data Engineer?

AspectManager ClickhouseData Engineer
Primary FocusOversees Clickhouse database management, team coordination, and strategyDesigns, develops, and maintains data pipelines and infrastructure
Required SkillsDatabase administration, team leadership, project managementETL processes, SQL, programming, data modeling
CertificationsDatabase management, cloud certifications, project managementData engineering, cloud, and programming certifications
Work EnvironmentManagement, strategic planning, team collaborationTechnical development, coding, data architecture

The Manager Clickhouse primarily focuses on overseeing Clickhouse database operations and leading teams, while a Data Engineer concentrates on building and maintaining data pipelines and infrastructure. Both roles require technical knowledge, but the Manager Clickhouse emphasizes management skills, whereas the Data Engineer emphasizes technical development and data architecture.

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What cities in California are hiring for Manager Clickhouse jobs? Cities in California with the most Manager Clickhouse job openings:
Solutions Architect - Langfuse

Solutions Architect - Langfuse

ClickHouse

San Francisco, CA • On-site

$74.25 - $97.75/hr

Full-time

Re-posted 7 days ago


Job description

Job Summary:
ClickHouse is recognized as one of the most innovative private cloud companies, focusing on real-time analytics and AI workloads. They are seeking a Langfuse Solutions Architect to lead technical evaluations and engage with AI engineering teams, enhancing the ClickHouse + Langfuse platform's presence in the AI observability ecosystem.
Responsibilities:
• Lead technical evaluations with AI engineering teams considering ClickHouse as their observability data store, from initial architecture review through POC and production deployment
• Engage directly with data engineers, ML engineers, and platform architects to understand their LLM application stack, trace volumes, evaluation workflows, and query patterns — and map those requirements to ClickHouse | Lanfguse capabilities
• Work across all levels of customer organizations, from individual contributors building LLM pipelines to CTOs making infrastructure decisions
• Design and deliver reference implementations, schema designs, and ingestion patterns optimized for LLM trace data at scale
• Source and qualify pipeline directly through ecosystem relationships and community engagement — this role is expected to open doors, not just walk through them
• Partner with ClickHouse AEs to progress and close opportunities within the AI and LLM observability segment
• Advocate internally for product improvements and integration enhancements that strengthen the ClickHouse + Langfuse story
• Serve as ClickHouse's primary technical voice in the Langfuse community — contributing to forums, engaging on GitHub, participating in events, and building authentic credibility with AI engineers and developers
• Develop relationships with the Langfuse core team and ecosystem partners to identify joint GTM opportunities and integration improvements
• Create technical content — blog posts, tutorials, reference architectures, and demo environments — that showcases ClickHouse| Langfuse as the analytics backbone for LLM observability workloads
Qualifications:
Required:
• Hands-on experience in the LLM observability or AI monitoring space — whether at a vendor or as a practitioner building and operating LLM applications in production
• Technical depth in the modern AI stack — you're comfortable discussing prompt engineering, RAG architectures, evaluation frameworks, token economics, and the data infrastructure that supports them
• Customer-facing experience — pre-sales, solutions engineering, developer advocacy, or technical account management. You've navigated technical conversations with real stakes and know how to build trust with engineering teams
• Strong foundation in data infrastructure — experience with analytical databases, distributed systems, and cloud infrastructure. Familiarity with ClickHouse, Postgres, or columnar databases is a strong plus
• Open source orientation — you understand how open source communities work, how developer trust is earned, and how to contribute authentically rather than just promote
Company:
ClickHouse provides an open-source database system for real-time analytical reporting. Founded in 2021, the company is headquartered in Mountain View, USA, with a team of 501-1000 employees. The company is currently Late Stage.