ClickHouse provides a fast, open-source columnar database and managed cloud service designed for real-time analytics, data warehousing, observability, and AI/ML workloads.
The Role Our commercial segment — companies with up to 250 employees — is predominantly developer- and engineer-led. These buyers don't respond to canned demos and slide decks. They respond to someone who can sit in their architecture review, understand their ingestion problem, and help them build something that actually works. That's who we're hiring. As a Commercial Solutions Architect at ClickHouse, you'll own the technical side of the sales cycle for inbound, product-led, and self-serve accounts in this segment. You'll engage with data engineers, platform teams, and technical founders at the moment they're evaluating ClickHouse for a real use case — and your job is to make sure they succeed technically, faster. Our commercial customers include companies like Circle, Flashbots, Blockworks, Cypress.io, Kit, Whop, Coframe, Shaped, and janitorai — developer-first products that chose ClickHouse because they needed something that could handle billions of events without slowing down their users. You'll be the person who gets them there. This is a role for engineers who are ready to engage customers. Prior pre-sales experience is not required — but technical depth is non-negotiable. What You Will Be Doing - Own the technical evaluation process for accounts in the sub-250 employee segment — from first technical conversation through POC, architecture sign-off, and successful onboarding. - Engage directly with data engineers, platform architects, and technical founders to understand their use cases, data volumes, query patterns, and infrastructure requirements — and design ClickHouse solutions that map to those needs. - Troubleshoot schema design questions, ingestion patterns, and integration challenges during the evaluation process. Be the person who unblocks deals technically so they can close on time. - Build and deliver reference implementations, POCs, and architecture recommendations that give customers confidence in ClickHouse as a production-grade solution. - Partner closely with Commercial AEs to progress and close opportunities — you own the technical win, they own the commercial close. - Advocate for customer needs internally with Product and Engineering — you're the voice of the technical buyer inside ClickHouse. - Contribute to technical playbooks, objection handling guides, and reusable POC assets that help the team scale what's working. - Participate in developer community events, technical meetups, and online forums where our users naturally gather — and build credibility as a practitioner, not just a vendor. What You Bring - Deep technical foundation in data engineering or a closely related discipline — built through experience as a data engineer, software engineer, analytics engineer, or similar hands-on role. - Comfort with the modern data stack: columnar databases, streaming ingestion (Kafka, Kinesis), cloud infrastructure, and SQL-heavy analytics workflows. 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 engineering, or a customer-success capacity. You've navigated technical conversations with real stakes before. If you haven't, you've wanted to. - An instinct for moving quickly. This segment runs on short cycles. You know how to drive a technical evaluation to a conclusion without letting it drag, and how to remove blockers that stall deals. - Strong written and verbal communication. You can simplify complex architectural concepts without dumbing them down, and you write clearly enough that your responses actually get read by engineers. - Curiosity about the business side of technology. You're interested in understanding why companies buy and what success looks like for them — not just what they're building. - Ownership mentality. You're comfortable operating with autonomy, running evaluations independently, and making judgment calls without a playbook.