Role Description We are looking for a GTM Engineer to build the AI and automation that make ClickHouse's go-to-market motion faster, smarter, and more scalable. This is a builder role. You will design, build, and ship the systems, agents, and workflows that take manual work off the team and put usage and customer signals to work across the lifecycle. 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. This is an individual contributor role for someone who wants to build, own what they ship, and set the standard for how AI shows up in our go-to-market. - 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. - Instrument the customer lifecycle. Connect the GTM systems and data so usage and telemetry signals flow to the right place and trigger the right action automatically. - 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. - Set the standards and guardrails for AI in GTM: data quality, prompt and eval discipline, human review where it matters, and controls that keep automated actions safe. - Track the AI and automation tooling landscape and bring the best of it into how ClickHouse goes to market. Qualifications - 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). - 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. - 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. - Familiarity with usage-based or consumption-based business models is a plus. - 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. Requirements - 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 may vary based on education, qualifications, certifications, experience, skills, location, performance, and business needs. - If you have any questions or comments about compensation as a candidate, please get in touch with us at paytransparency@clickhouse.com. Benefits - 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 who joins our company 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. - Culture - You will be instrumental in shaping our culture.

• Own full-cycle hiring across Data/ML, Platform, and occasional leadership hires and support Product Engineering roles. • Partner directly with senior technical and company leadership to define hiring plans, challenge briefs (scope, leveling, expectations), and operationalize them end-to-end. • Implement and maintain structured interview processes, scorecards, and calibration loops. • Ensure signal quality and conversions remain high as hiring volume increases. • Run high-quality screening that meaningfully predicts success before HM interviews. • Map talent across the Americas and Europe, building forward-looking pipelines. • Engage passive candidates with clear, tailored messaging — not generic outreach • Bring market insight (talent availability, compensation, competition) into decision-making. • Document and improve recruiting workflows, templates, and playbooks. • Contribute to broader Talent initiatives (interviewer training, quality of hire, process excellence).

• Teach the following courses and learning modules: Linux Essentials • LPIC-1 Linux Administrator (including exam preparation) • Learning module "Provisioning Networks and Services" • Learning module "Provisioning services and automating administrative tasks" • Learning module "Ensuring operation and security of networked systems"

• Teaching the following modules and learning units: Linux Essentials • LPIC-1 Linux Administrator (including exam preparation) • Learning unit: "Providing Networks and Services" • Learning unit: "Providing Service Processes and Automating Administrative Tasks" • Learning unit: "Ensuring Operation and Security of Networked Systems"