ClickHouse
GTM Engineer, AI & Automation
United States · Senior
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About the role
- About ClickHouse Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies.
- The company's sustained, accelerating momentum was recently validated by a $400M Series D financing round.
- ClickHouse runs on a consumption model, where the returns from instrumenting and automating the customer journey are large and mostly uncaptured.
Responsibilities
- Design, build, and ship AI and automation across the GTM motion: prospecting and enrichment, lead routing and activation, outbound and follow-up, deal and technical sales support, and expansion and retention signals.
- Build agents and workflows that run reliably at scale and take repetitive work off Sales, Solutions Architecture, and Marketing.
- Partner with the field to find where AI and automation create real gains, and turn those opportunities into systems people actually use.
- Own what you build end-to-end. Design it, deploy it, measure whether it moves a real number, and keep improving it. Stand up evals and monitoring so AI output stays reliable in production.
Requirements
- You have shipped and operated these in production at real scale.
- You know how to get reliable behavior out of probabilistic systems, and you use eval and observability tooling like Langfuse to keep them reliable in production.
- You are comfortable owning something from idea to working system, and you measure it by whether it runs reliably and moves a real number.
- If you have any questions or comments about compensation as a candidate, please get in touch with us at paytransparency@clickhouse.com.
- 5+ years building automation and tooling in a GTM, RevOps, or growth engineering context, with systems you have shipped and run in production.
- Production experience with the GTM stack: Salesforce as the system of record, Gong and Gong Engage for conversation intelligence and sequencing, and the engineering layer beneath them: Vercel, Clay, n8n, enrichment providers, and both transactional and analytical databases (Postgres and ClickHouse). You have shipped and operated these in production at real scale.
- Hands-on development in Python, TypeScript, and JavaScript.
- Fluency with modern AI tooling: LLM APIs, agent and orchestration frameworks, prompting, evals, and retrieval with embeddings and vector search. You know how to get reliable behavior out of probabilistic systems, and you use eval and observability tooling like Langfuse to keep them reliable in production.
- Strong data-activation skills: SQL, APIs, and integrations, transformation with dbt, and moving warehouse data into the GTM stack and back.
- A builder who ships. You are comfortable owning something from idea to working system, and you measure it by whether it runs reliably and moves a real number.
- Owner-operator mindset. You treat what you build as a system you own end-to-end: you build it, you run it, you fix it when it breaks, and you keep making it better.
- Judgment about where AI and automation help and where they create risk. You know when to automate a workflow fully, when to keep a human in the loop, and when to leave a process alone.
- Familiarity with usage-based or consumption-based business models is a plus. You understand how usage and telemetry signals drive expansion and retention.
Nice to have
- Familiarity with usage-based or consumption-based business models is a plus.
- Bachelor's degree in engineering required.
- A master's degree is a plus.
Skills
- Owner-operator mindset.
- Strong written and verbal communication. Comfortable partnering across the field and explaining what your systems do and why.
- Bachelor's degree in engineering required. A master's degree is a plus.
- SQL, APIs, and integrations, transformation with dbt, and moving warehouse data into the GTM stack and back.
- The typical starting salary for this role in the US is
- $145,000 - $195,000 USD
- The typical starting salary for this role in US Premium Markets is
- $165,000 - $225,000 USD
- Compensation
- For roles based in the United States, t he typical starting salary range for this position is listed above.
Compensation
- The typical starting salary for this role in the US is
Benefits
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new team member who joins our company receives stock options.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly.
- A $500 Home office setup if you're a remote employee.
Company info
- Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments.
- These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla.
- As part of the Revenue Operations team, you will work directly with Sales, Solutions Architecture, Marketing, and RevOps to find the highest-value opportunities and turn them into working systems.
- As part of a rapidly scaling start up, you will be instrumental in shaping our culture.
- Are you interested in finding out more about our culture?
- Learn more about our values here.
Equal opportunity
- Equal Opportunity & Privacy
This listing is sourced directly from ClickHouse's careers page and normalized into a canonical job model.