
501 - 1000 employees
Founded 2021
☁️ SaaS
🏢 Enterprise
🤖 Artificial Intelligence
🔥 Funding within the last year
💰 $400M Series D on 2026-01
SaaS • Enterprise • Artificial Intelligence
ClickHouse is an open-source, column-oriented OLAP database and real-time data warehouse that delivers extremely fast, resource-efficient analytics at petabyte scale. ClickHouse offers both self-managed open-source software and managed cloud services (ClickHouse Cloud available on AWS, GCP, Azure), as well as complementary products like ClickHouse Managed Postgres, ClickStack (an open-source observability stack), Langfuse for LLM observability, Agentic Data Stack for AI applications, and chDB in-process SQL engine. It targets use cases such as real-time analytics, observability, data warehousing, machine learning and GenAI, and provides integrations with BI tools, data ingestion, and language clients. ClickHouse is used by enterprises across industries (e. g. , financial services, cybersecurity, e-commerce, gaming, automotive) and emphasizes performance, cost-efficiency, developer-friendliness, and open-source community adoption.
🔥 44 minutes ago
Where this job comes from
Posted on ClickHouse's careers page, not through a job board
First seen by Remote Rocketship 44 minutes ago

501 - 1000 employees
Founded 2021
☁️ SaaS
🏢 Enterprise
🤖 Artificial Intelligence
🔥 Funding within the last year
💰 $400M Series D on 2026-01
SaaS • Enterprise • Artificial Intelligence
ClickHouse is an open-source, column-oriented OLAP database and real-time data warehouse that delivers extremely fast, resource-efficient analytics at petabyte scale. ClickHouse offers both self-managed open-source software and managed cloud services (ClickHouse Cloud available on AWS, GCP, Azure), as well as complementary products like ClickHouse Managed Postgres, ClickStack (an open-source observability stack), Langfuse for LLM observability, Agentic Data Stack for AI applications, and chDB in-process SQL engine. It targets use cases such as real-time analytics, observability, data warehousing, machine learning and GenAI, and provides integrations with BI tools, data ingestion, and language clients. ClickHouse is used by enterprises across industries (e. g. , financial services, cybersecurity, e-commerce, gaming, automotive) and emphasizes performance, cost-efficiency, developer-friendliness, and open-source community adoption.
• Own a focused book of named strategic financial services accounts • Develop deep, multi-threaded relationships with technical, business, and executive stakeholders • Drive net new ARR and expansion revenue through consultative, value-based selling • Lead complex enterprise sales cycles, including procurement, legal, security review, and multi-product negotiations • Partner with Solutions Architects to ensure technical alignment and long-term customer success • Articulate ClickHouse’s technical differentiation, including performance benchmarks, architecture, and deployment models • Develop and execute strategic account plans and identify expansion opportunities • Map the political landscape within each account • Represent the customer voice internally and influence product roadmap priorities and go-to-market strategy for financial services • Travel to customer sites, conferences, and team offsites as needed, approximately 25–40%
• 7+ years of enterprise sales experience • At least 3 years selling to financial services organizations, including banking, capital markets, insurance, fintech, or asset management • Demonstrated track record closing large, complex deals with $500K+ ACV • Experience with long sales cycles involving multiple stakeholders • Required experience selling technical infrastructure products such as databases, data platforms, cloud infrastructure, or developer tools • Ability to engage credibly in technical conversations • Deep understanding of financial services technology landscapes and data architecture patterns • Strong executive presence and ability to build trusted-advisor relationships at C-suite and VP levels • Experience in a high-growth, early-stage, or scaling startup environment is strongly preferred • Familiarity with MEDDIC, MEDDPICC, or similar enterprise sales methodologies • Ability to work independently and navigate ambiguity • Prior experience selling open-source or consumption-based products is nice to have • Experience with real-time analytics, time-series databases, OLAP, or columnar data systems is nice to have • Existing relationships with data or technology buyers at major financial institutions are nice to have
• Flexible work environment and remote-friendly work arrangement • Employer contributions towards healthcare • Stock options for every new team member • Flexible time off in the US • Generous time-off entitlement in other countries • USD$500 home office setup allowance for remote employees • Opportunities to participate in company-wide global offsites
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