Senior Analytics Engineer, Product
San Francisco, CA - USA
Job Summary
About ClickHouse
Recognized on the 2025 Forbes Cloud 100 list ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 3000 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 companys 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.
Were on a mission to transform how companies use data. Come be a part of our journey!
ClickHouse is hiring a Senior Analytics Engineer Product to help scale our product analytics function and turn data into a strategic asset for the teams building ClickHouse Cloud and our broader product portfolio.
In this role you will be a core operator of our product data system partnering deeply with Product Engineering and Growth to define what we measure how we model it and how we use it to make better decisions. You will own foundational data models metrics and analytical workflows that span growth and our expanding suite of ClickHouse products as we continue to build out our product data function.
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.
What Youll Be Doing:
- Understand the data needs of stakeholder teams in terms of key data models and reporting and translate them into technical requirements
- Develop deep expertise in the ClickHouse product and platform becoming the connective tissue between product surfaces engineering telemetry and stakeholder reporting
- Own and develop core data models datasets and dashboards that serve as the foundation for product decision-making across growth and the broader ClickHouse product portfolio
- Partner closely with Product Engineering and Growth to align on metric definitions instrument new features and operationalize a single source of truth for product data
- 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
- Deliver insights and recommendations that inform product strategy roadmap prioritization and growth experimentation
What You Bring Along:
- 5 years of experience in analytics engineering BI or data roles within a SaaS or technology company
- Deep experience supporting Product Growth or Engineering functions ideally in a product-led or technical product environment
- Highly proficient in SQL and experienced in building analytical data models with dbt or similar tools
- Experience working with modern data warehouses such as ClickHouse Snowflake or BigQuery and is excited to go deep on ClickHouse
- 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 for both technical and non-technical audiences
- Comfortable operating in ambiguity and taking ownership of open-ended problems in a fast-growing function
The typical starting salary for this role in the US is
$175500 - $219600 USD
The typical starting salary for this role in US Premium Markets is
$195000 - $244000 USD
Compensation
For roles based in theUnited States the typical starting salary range for this position is listed 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 individuals 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.
Perks
- 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 youre 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.
Are you interested in finding out more about our culture Learn more about our values here. Check out our blog posts or follow us on LinkedIn to find out more about whats happening at ClickHouse.
Equal Opportunity & Privacy
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race color religion age sex national origin disability status genetics protected veteran status sexual orientation gender identity or expression or any other characteristic protected by federal state or local laws.
Please seeherefor our Privacy Statement.
Required Experience:
Senior IC
About Company
ClickHouse is a fast open-source column-oriented database management system that allows generating analytical data reports in real-time using SQL queries