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Own full sales cycle for inbound, product-led, and self-serve accounts (sub-250 employees). Engage technical buyers (data engineers, platform teams) to map use cases to ClickHouse, troubleshoot schema/ingestion/integration issues, identify expansion opportunities, partner with Solutions Engineers, maintain Salesforce pipeline hygiene, contribute technical playbooks, and participate in developer community events.

The Solutions Architect will lead technical evaluations for AI engineering teams, engage with various stakeholders, and represent ClickHouse and Langfuse in the LLM observability space, advocating for product improvements while fostering community relationships.

As a Data Scientist for Finance Forecasting, you'll develop and deploy forecasting models, establish measurement frameworks, and generate actionable insights for leadership, while collaborating with Data Engineering and Revenue Operations.

Build and ship AI-driven automation across the go-to-market lifecycle: prospecting, lead routing, deal support, retention, and instrumentation. Design agents and workflows, connect GTM systems and data, deploy and monitor production AI, set guardrails and evals, and partner with Sales, Solutions Architecture, Marketing, and RevOps to measure and improve impact.

Design, build, operate, and maintain petabyte-scale Product Metrics systems that store and serve trillions of records. Ensure performance, reliability, availability, and cost-efficiency; deliver features, mentor teammates, participate in on-call rotation, and collaborate across teams to support billing, dashboards, and customer analytics.

Provide 24x7 technical support for ClickHouse users and prospects via tickets, chat, Slack, and calls. Triage issues, run POCs, create documentation and knowledge-base content, collaborate with Engineering, Product, and GTM teams, mentor colleagues, and help improve support processes.

Design and build high-throughput database integrations and data-intensive systems. Ensure end-to-end reliability, debug production issues, improve tooling and observability, participate in on-call rotation, collaborate with customers and cross-functional teams, and drive product and open-source innovation.

This role involves ensuring the reliability and performance of ClickHouse's cloud infrastructure, collaborating with engineering teams, incident management, and driving continuous improvement in service availability.

Design, enhance, and scale the ClickPipes data onboarding platform while improving infrastructure, deployment pipelines, and operational processes in a cloud environment.

Design, build, and operate a scalable, highly available cloud-native infrastructure for ClickHouse Cloud. Lead optimization initiatives across compute, storage, and networking, automate cloud resource management, collaborate with engineering and business stakeholders, and deliver cost-efficient, secure distributed systems and tooling for a global SaaS platform.