
SaaS • Enterprise • Artificial Intelligence
ClickHouse is a fast and resource-efficient real-time data warehouse and open-source database that is designed to deliver superior query performance for mission-critical and time-sensitive applications. It is available as a cloud service on major platforms like AWS, GCP, and Azure, with a "Bring Your Own Cloud" option and a wide range of integrations for seamless operation within diverse tech stacks. ClickHouse excels in real-time analytics, machine learning, business intelligence, and observability, making it an ideal choice for tasks such as financial services, fraud detection, and gaming analytics. It supports developer-friendly SQL operations, offers cost-effective storage solutions, and provides an open-source alternative to traditional databases. Companies like Sony, Lyft, Cisco, GitLab, and Twilio leverage ClickHouse for its scalability, efficiency, and ease of use.
51 - 200 employees
Founded 2016
☁️ SaaS
🏢 Enterprise
🤖 Artificial Intelligence
September 29

SaaS • Enterprise • Artificial Intelligence
ClickHouse is a fast and resource-efficient real-time data warehouse and open-source database that is designed to deliver superior query performance for mission-critical and time-sensitive applications. It is available as a cloud service on major platforms like AWS, GCP, and Azure, with a "Bring Your Own Cloud" option and a wide range of integrations for seamless operation within diverse tech stacks. ClickHouse excels in real-time analytics, machine learning, business intelligence, and observability, making it an ideal choice for tasks such as financial services, fraud detection, and gaming analytics. It supports developer-friendly SQL operations, offers cost-effective storage solutions, and provides an open-source alternative to traditional databases. Companies like Sony, Lyft, Cisco, GitLab, and Twilio leverage ClickHouse for its scalability, efficiency, and ease of use.
51 - 200 employees
Founded 2016
☁️ SaaS
🏢 Enterprise
🤖 Artificial Intelligence
• End-to-end responsibility for Database and data warehouse integrations (Postgres, MongoDB, BigQuery, Snowflake), including CDC, initial snapshots, schema evolution, backfills, and correctness at scale. • Recruit, coach, and develop a high-bar team; set crisp expectations and foster a culture of ownership, speed, and continuous improvement. • Jump into designs and code for complex flows (WAL/binlog/oplog handling, LSN/GTID management, idempotency/exactly-once behaviors, backpressure). • Mentor and coach your team — provide regular feedback, create growth opportunities, and support advancement in technical and leadership skills. • Build the culture of operational excellence: Own SLOs, reliability, on-call quality, and cost-efficiency for k8s-hosted, multi-tenant services across cloud regions. • Systematize support, reduce toil, and build self-serve/auto-healing capabilities. • Shape the product vision, transform it into the roadmap, sequence bets for business impact, and ship fast with tight feedback loops. • Inspire blog posts, guides, and talks; present at meetups/conferences to showcase work and lessons learned. • Join key customer calls, turn feedback into roadmap and fixes, and make upgrades/migrations predictable and safe.
• 3+ years managing software engineers with a track record of hiring, developing, and retaining strong talent. • Experience leading distributed global teams, fostering an inclusive and autonomous culture, and creating clarity across time zones. • Proven ability to mentor and coach engineers and emerging leaders. • Demonstrated success building highly technical teams that value ownership, speed, and continuous improvement. • Comfortable driving execution in ambiguous environments: setting priorities, sequencing bets, and delivering impact without over-process. • Strong communicator, able to align stakeholders internally and represent the team externally. • 10+ years of industry experience building data-intensive or distributed systems. • Hands-on: willing to dive into code and designs for complex or critical areas, reviewing code, and guiding via feedback. • Deep database replication/CDC expertise and fluency with correctness, ordering, backpressure, and recovery at scale. • Strong Go (or willingness to ramp quickly with prior deep systems language experience). • Kubernetes (k8s) in production and multi-cloud (AWS/GCP/Azure) experience. • Customer-centric mindset and bias for shipping fast with tight feedback loops.
• Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. • Healthcare - Employer contributions towards your healthcare. • Equity in the company - Every new team member receives stock options. • Time off - Flexible time off in the US, generous entitlement in other countries. • A $500 Home office setup if you’re a remote employee. • Global Gatherings – opportunities to engage with colleagues at company-wide offsites.
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