GTM Engineer, AI & Automation

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. ClickHouse runs on a consumption model, where the returns from instrumenting and automating the customer journey are large and mostly uncaptured. This role exists to capture them. 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. What You'll Be Doing 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 automatica [... source excerpt omitted ...] . 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. What You Bring Along 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 a [... source excerpt omitted ...] ring 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 int