GTM Engineer, AI & Automation

Details

ClickHouse is looking for a GTM Engineer to build AI and automation that make its go-to-market motion faster, smarter, and more scalable. This builder role focuses on designing, building, and shipping systems, agents, and workflows that reduce manual work and use customer and usage signals across the lifecycle.

As part of the Revenue Operations team, you will work with Sales, Solutions Architecture, Marketing, and RevOps to identify high-value opportunities and turn them into production systems. This is an individual contributor role with end-to-end ownership of shipped solutions.

Responsibilities

• Design, build, and ship AI and automation across prospecting and enrichment, lead routing and activation, outbound and follow-up, deal and technical sales support, and expansion and retention signals.
• Build reliable agents and workflows that operate at scale and reduce repetitive work for Sales, Solutions Architecture, and Marketing.
• Instrument the customer lifecycle and connect GTM systems and data so usage and telemetry signals trigger the appropriate actions.
• Partner with field teams to identify opportunities for AI and automation and turn them into systems that people use.
• Own systems end-to-end, including design, deployment, measurement, monitoring, evaluation, and ongoing improvement.
• Establish standards and guardrails for AI in GTM, including data quality, prompt and evaluation discipline, human review, and controls for safe automated actions.
• Track the AI and automation tooling landscape and apply relevant tools to ClickHouse's go-to-market processes.

Requirements

• 5+ years of experience building automation and tooling in a GTM, RevOps, or growth engineering context, with systems shipped and operated in production.
• Production experience with Salesforce, Gong, Gong Engage, Vercel, Clay, n8n, enrichment providers, Postgres, and ClickHouse.
• Hands-on development experience with Python, TypeScript, and JavaScript.
• Experience with modern AI tooling, including LLM APIs, agent and orchestration frameworks, prompting, evaluations, retrieval with embeddings, and vector search.
• Experience using evaluation and observability tooling such as Langfuse to maintain reliable AI systems in production.
• Strong data activation skills, including SQL, APIs, integrations, dbt, and moving warehouse data into and out of the GTM stack.
• Ability to own systems from idea through reliable production operation and measure their business impact.
• Owner-operator mindset and experience maintaining, troubleshooting, and improving production systems.
• Good judgment about when to automate fully, when to keep a human in the loop, and when not to automate.
• Familiarity with usage-based or consumption-based business models is a plus.
• Strong written and verbal communication skills.
• Bachelor's degree in engineering required; a master's degree is a plus.

Compensation

• Typical starting salary in the United States: $145,000–$195,000 USD per year.
• Typical starting salary in US premium markets, including the San Francisco Bay Area and New York City Metro Area: $165,000–$225,000 USD per year.
• Actual compensation depends on factors including education, qualifications, certifications, experience, skills, location, performance, and business needs.

Benefits

• Flexible, remote-friendly work environment.
• Employer contributions toward healthcare.
• Company equity through stock options.
• Flexible time off in the United States and generous entitlement in other countries.
• $500 home office setup for remote employees.
• Opportunities to attend company-wide global gatherings.