About this role
This role suits an execution-focused professional with experience building modern AI solutions, integrating APIs, and managing cloud infrastructure who wants to establish a brand-new artificial intelligence operations function. The position is based in AMER as a remote-friendly opportunity within ClickHouse.
Role Overview
ClickHouse seeks an AI Operations Engineer to join a newly formed function within IT Operations, helping centralize artificial intelligence operations across the entire organization. Working under a Technical Lead, the specialist will design, build, and maintain automated workflows and agents for departments such as engineering, legal, finance, and people operations. This hands-on position requires shipping real workflows rapidly while establishing foundational practices for governance, training, and cost optimization.
Key Responsibilities
Requirements
Skills and Tools
Salary and Benefits
About the Company
ClickHouse operates as a rapidly scaling start-up with a globally distributed team spanning over 25 countries. The organization emphasizes in-person connections through global gatherings and offsites while shaping an inclusive workplace culture.
How to Apply
Candidates should apply directly on the official company careers page.
Skills and tech stack
Questions candidates ask
What is the compensation range for the AI Operations Engineer role?
The salary ranges from $110,000 to $165,000, and the position includes company equity in the form of stock options.
Where is the position located?
The role is located in AMER and operates as a remote-friendly position within a globally distributed company.
What team does this role belong to?
The role sits within a newly formed AI Engineering function inside IT Operations, reporting to the IT Business Systems Manager.
What perks and benefits are offered?
Perks include employer healthcare contributions, stock options, flexible time off, a USD $500 home office setup allowance for remote employees, and company-wide global gatherings.
What kind of tasks will I perform daily?
Daily execution involves building LLM solutions, integrating AI into business systems, tracking and optimizing model costs, maintaining agent infrastructure, and delivering training programs.