Senior Analytics Engineer, GTM

• Own and develop core data models, datasets, and dashboards that serve as the foundation for GTM reporting and decision-making
• Enable a single source of truth for GTM metrics by partnering with cross-functional stakeholders to define, standardize, and operationalize key business logic
• Deliver insights and recommendations that improve GTM performance and inform strategic decisions
• Build scalable data systems and workflows that improve data accessibility, reliability, and usability across the organization
• Develop AI-ready data models and self-service solutions that enable natural language access and automated insights
• Partner closely with Sales, Revenue Operations, Finance, and Marketing to align on priorities and drive impact

Do you have experience in Salesforce Cloud?, * 5+ years of experience in analytics, BI, or data roles within a SaaS or technology company

• Experience supporting GTM, sales, or revenue operations functions and working directly with Salesforce and related GTM systems
• Strong experience supporting GTM, sales, or revenue operations functions
• Highly proficient in SQL and experienced in building analytical data models with dbt or similar tools
• Has experience working with modern data warehouses such as ClickHouse, Snowflake, or BigQuery
• Proficient in Python for data analysis, automation, or workflow development
• Highly fluent with AI tools and workflows, including LLMs, AI coding assistants, and automation frameworks, and applies them effectively in analytical work
• Communicates clearly and can translate complex data into actionable business insights
• Comfortable operating in ambiguity and taking ownership of open-ended problems

For roles based in the United States, the typical starting salary range for this position is listed above. In certain locations, such as the San Francisco Bay Area and the New York City Metro Area, a premium market range may apply, as listed.

These salary ranges reflect what we reasonably and in good faith believe to be the minimum and maximum pay for this role at the time of posting. The actual compensation may be higher or lower than the amounts listed, and the ranges may be subject to future adjustments.

An individual's placement within the range will depend on various factors, including (but not limited to) education, qualifications, certifications, experience, skills, location, performance, and the needs of the business or organization.

If you have any questions or comments about compensation as a candidate, please get in touch with us at paytransparency@clickhouse.com.

Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 3,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads. The company's sustained, accelerating momentum was recently validated by a $400M Series D financing round. 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. We're on a mission to transform how companies use data. Come be a part of our journey! ClickHouse is hiring a Senior Analytics Engineer, GTM, to help scale a data-driven go-to-market organization. In this role, you will act as a core operator of our GTM data system, shaping how we measure performance, understand our revenue funnel, and drive decision-making across Sales, Revenue Operations, and Finance. You will own key data models, metrics, and analytical workflows that power our GTM motion. Hybrid: We intend to fill this role in the San Francisco Bay Area, and expect this position to go into our Menlo Park office 1-2x per week., * Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 20 countries. * 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 - We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. Culture - We All Shape It As part of a rapidly scaling start up, you will be instrumental in shaping our culture.