ClickHouse

Full-stack Engineer

• Build agents that investigate incidents. They surface anomalies, answer "why is production broken?", and use ClickStack as their substrate.
• Write skills, not just prompts. Build a library of reusable skills that captures how our team debugs, finds root causes, writes ClickHouse queries, and runs incident response, so agents pick up the right playbook instead of starting from scratch.
• Own the agent stack end-to-end. Context engineering, tool design, evals, tracing, cost. You're responsible for whether the agent works in production.
• Make ClickStack a great place to run AI workloads. Build the MCP servers, SDKs, and integrations that let customers' agents read telemetry, take action, and stay observable themselves.
• Work in the open. Collaborate with OSS contributors and customers, debug their problems alongside them, and feed what you learn back into the product.
• Tackle the hard parts. Latency, cost, context window limits, eval coverage, hallucinations on real telemetry.

AI Product Engineer

• Build agents that investigate incidents.
• Write skills, not just prompts.
• Own the agent stack end-to-end.
• Make ClickStack a great place to run AI workloads.
• Work in the open.
• Tackle the hard parts.

Cloud Engineer

• Design and develop a highly available, scalable, and secure ClickHouse Cloud platform for regulated and mission-critical environments.
• Build innovative deployment automation across cloud, hybrid, and on-prem systems, including disconnected environments when needed.
• Work closely with existing Dataplane and Core teams to ensure software parity with existing cloud infrastructure.
• Solve unique scaling, reliability, and performance challenges in regulated environments.
• Design and deploy ClickHouse Cloud on Kubernetes and containerized environments ensuring high availability, replication, and backup.
• Develop and maintain Helm charts, operators, and Kubernetes manifests for database management.
• Implement repeatable automation to build, scale, and troubleshoot infrastructure components across diverse deployment models.
• Optimize ClickHouse Cloud database performance and storage architecture for on-prem, hybrid, and government cloud deployments.
• Integrate secure authentication, encryption, and access control mechanisms.
• Develop and maintain technical documentation for system architecture, security, and compliance audits.
• Troubleshoot and resolve database performance, security, and operational issues.
• Automate deployments and lifecycle management using Terraform, Ansible, or CI/CD pipelines.

Senior Cloud Engineer

Product Manager

• Own the product strategy, roadmap, and execution across ClickHouse's native connectors and partner ecosystem.
• Build close feedback loops with technology partners, driving co-innovation and a growing joint integration surface.
• Track the competitive landscape closely and form strong, data-backed opinions on which ecosystem investments will move the business.
• Work with engineering to build a roadmap that balances connector stability, ClickHouse feature coverage, and developer experience.
• Measure and communicate the business impact, ROI, and customer success of the connectors portfolio to leadership.
• Raise the profile of the ClickHouse ecosystem through conference talks, blog posts, technical content, and community engagement.
• Build a design partner program to surface early customer feedback and co-develop solutions with the most engaged users.

Principal Product Manager – Ecosystems & Connectors

Backend Engineer

• Feature Development: Design and implement AI-powered features across the full stack, from backend inference services to intuitive frontend interfaces within the ClickHouse Cloud platform.
• API Architecture: Create robust, scalable APIs that connect ClickHouse's database capabilities with modern AI/ML inference systems and external/internal AI services.
• Ecosystem Integrations: Implement and maintain integrations with the broader AI/ML ecosystem and standards, ensuring that ClickHouse as a technology works seamlessly with popular frameworks and tools.
• Technical Integration: Integrate models into production systems with proper monitoring, versioning, observability, and evaluation.
• Oncall: Participate in the daytime oncall rotation along with the rest of the team.
• Developer Experience: Design and implement developer tools, SDKs, and documentation that enable users to leverage ClickHouse’s AI/ML capabilities.

Senior Software Engineer – Backend, AI/ML

• Design and build backend services that orchestrate and manage database clusters in ClickHouse Cloud.
• Extend our platform control plane — written in Ruby, Go, and TypeScript — to support new Postgres capabilities.
• Contribute to PostgreSQL extensions and data plane agents, written in C, C++ or Rust.
• Contribute to automation and tooling that simplify cluster provisioning, scaling, and lifecycle management.
• Collaborate with infrastructure, SRE, and product teams to ensure operational excellence, performance, and reliability.
• Develop APIs and integrations that expose new Postgres functionality to customers and internal systems.
• Improve observability, deployment safety, and debugging workflows for database services.
• Participate in design discussions, code reviews, and on-call rotations, contributing to the overall reliability and velocity of the team.
• Operate with autonomy — identifying opportunities, driving execution, and delivering meaningful impact.

Senior Software Engineer – Postgres

General Counsel

• Become a founding member of the product legal team, serving as a legal partner to ClickHouse's product, engineering, and design organizations across the full product development lifecycle.
• Cultivate strong relationships with product and engineering leadership and act as a pragmatic, solutions-oriented legal advisor.
• Advise on legal issues arising from new and evolving product features, with a particular focus on AI/ML (including training data, model outputs, IP ownership, and regulatory frameworks), data privacy, intellectual property, and open-source software.
• Advise on, draft, and review technology licensing and integration partnership agreements with strategic product and ecosystem partners.
• Advise on open-source licensing strategy and compliance.
• Draft, review, and maintain product-specific legal terms, policies, and documentation.
• Support legal integration work arising from acquisitions, including diligence of acquired product IP, policy alignment, and creation of new or modified legal terms for acquired company customers.
• Advise on trademark and brand protection matters, including monitoring for potential infringement, responding to third-party claims, and counseling on product naming and go-to-market materials.
• Partner with the Governance, Risk, and Compliance team to build privacy-by-design practices into product development and ensure compliance with global data protection regulations (GDPR, CCPA, and equivalents) and standards.
• Partner with the Security and Privacy teams on incident response, advising on notification obligations, regulatory reporting requirements, and customer communications.
• Monitor and advise on relevant regulatory, compliance, and legal developments impacting the product, including AI, privacy, and export compliance, and partner with cross-functional stakeholders to translate them into actionable guidance.
• Help develop scalable legal workflows that support rapid product iteration and growth.

Senior Product Counsel

• As a Senior Software Engineer specializing in JVM-based frameworks, you'll serve as a core contributor, owning and maintaining critical parts of ClickHouse's Data engineering ecosystem.
• You'll own the full lifecycle of data framework integrations - from the core database driver that handles billions of records per second, to SDKs and connectors that make ClickHouse feel native in JVM-based applications.
• Your work will directly impact how companies process massive datasets, from real-time analytics platforms ingesting millions of events per second to observability systems monitoring global infrastructure.
• You'll collaborate closely with the open-source community, internal teams, and enterprise users to ensure our JVM integrations set the standard for performance, reliability, and developer experience.

Senior Software Engineer – Data Integration, JVM Ecosystem

• Design and build backend services that orchestrate and manage database clusters in ClickHouse Cloud.
• Extend our platform control plane — written in Ruby, Go, and TypeScript — to support new Postgres capabilities.
• Contribute to automation and tooling that simplify cluster provisioning, scaling, and lifecycle management.
• Collaborate with infrastructure, SRE, and product teams to ensure operational excellence, performance, and reliability.
• Develop APIs and integrations that expose new Postgres functionality to customers and internal systems.
• Improve observability, deployment safety, and debugging workflows for database services.
• Participate in design discussions, code reviews, and on-call rotations, contributing to the overall reliability and velocity of the team.
• Operate with autonomy — identifying opportunities, driving execution, and delivering meaningful impact.

Analytics Engineer

• Understand the data needs of stakeholder teams in terms of key data models and reporting, and translate them into technical requirements
• Develop deep expertise in the ClickHouse product and platform, becoming the connective tissue between product surfaces, engineering telemetry, and stakeholder reporting
• Own and develop core data models, datasets, and dashboards that serve as the foundation for product decision-making across growth and the broader ClickHouse product portfolio
• Partner closely with Product, Engineering, and Growth to align on metric definitions, instrument new features, and operationalize a single source of truth for product data
• Build scalable data systems and workflows that improve data accessibility, reliability, and usability across the organization
• Develop AI-ready data models and self-service solutions that enable natural language access and automated insights
• Deliver insights and recommendations that inform product strategy, roadmap prioritization, and growth experimentation.

Senior Analytics Engineer, Product

• Own and develop core data models, datasets, and dashboards that serve as the foundation for GTM reporting and decision-making
• Enable a single source of truth for GTM metrics by partnering with cross-functional stakeholders to define, standardize, and operationalize key business logic
• Deliver insights and recommendations that improve GTM performance and inform strategic decisions
• Build scalable data systems and workflows that improve data accessibility, reliability, and usability across the organization
• Develop AI-ready data models and self-service solutions that enable natural language access and automated insights
• Partner closely with Sales, Revenue Operations, Finance, and Marketing to align on priorities and drive impact

AI Product Engineer

AI Product Engineer

AI Product Engineer

AI Product Engineer

AI Product Engineer

Senior Cloud Engineer

Principal Product Manager – Ecosystems & Connectors

Senior Software Engineer – Backend, AI/ML

Senior Software Engineer – Postgres

Senior Software Engineer – Postgres

Senior Product Counsel

Senior Software Engineer – Data Integration, JVM Ecosystem

Senior Software Engineer – Postgres

Senior Analytics Engineer, Product

Senior Analytics Engineer, GTM