AI Product Engineer - ClickStack

ClickHouse; San Francisco (CA); Remote; USD 112,000 - 168,000; Full time

Benefits offered by this job

Flexible work

Healthcare

Equity

Time off

Home office stipend

Global gatherings

Job summary

ClickHouse, through ClickStack, is hiring to build the AI layer for Observability. You will develop agents that investigate incidents, surface anomalies, and propose root causes while keeping telemetry accessible for on-call engineers.

You will design and ship a library of reusable skills, own the agent stack end-to-end, and collaborate with OSS contributors. This role emphasizes production readiness, cost awareness, and strong DX in a remote-friendly environment.

Qualifications

• 5+ years of software engineering experience, incl 1–2 years on LLM-powered systems in production.
• Strong backend skills in TypeScript/Node.js and/or Python, comfortable in both.
• Hands-on experience building agents with multi-step tool use, planning, memory.
• Experience designing skills and a clear view on when a skill, a tool, or both is the right fit.
• Experience with MCP: building servers, designing tools, and observability for agent systems.
• Strong evals practice: golden sets, regression detection.
• SQL proficiency - write ClickHouse queries directly.
• Comfort with Docker and Kubernetes.
• Active in open source and the developer community.

Responsibilities

• Build agents that investigate incidents, surface anomalies, and propose root causes.
• Write skills and build a library of reusable plays for agents.
• Own the agent stack end-to-end: context engineering, tool design, evals, tracing and cost.
• Make ClickStack capable of running AI workloads with MCP servers and integrations.
• Work in the open, collaborating with OSS contributors and customers.
• Tackle latency, cost, and context window challenges in production.

Skills

LLM-powered systems

TypeScript/Node.js

Python

Agent development

Skills design

MCP

Eval pipelines

SQL (ClickHouse)

Docker

Kubernetes

Open source

Tools

Docker

Kubernetes

ClickHouse

Job description

Join us in building the AI layer for Observability!

ClickStack is the open-source observability platform we\'re building at ClickHouse - logs, metrics, traces, and session replays unified so engineers can find root causes quickly. The interesting work now is in the agent layer: systems that can investigate an incident at 2 AM, propose a root cause, and hand the on-call a concise summary by the time they\'ve logged in.

What You\'ll Do

• Build agents that investigate incidents. They surface anomalies, answer \"why is production broken?\", and use ClickStack as their substrate.


• Write skills, not just prompts. Build a library of reusable skills that captures how our team debugs, finds root causes, writes ClickHouse queries, and runs incident response, so agents pick up the right playbook instead of starting from scratch.


• Own the agent stack end-to-end. Context engineering, tool design, evals, tracing, cost. You\'re responsible for whether the agent works in production.


• Make ClickStack a great place to run AI workloads. Build the MCP servers, SDKs, and integrations that let customers\' agents read telemetry, take action, and stay observable themselves.


• Work in the open. Collaborate with OSS contributors and customers, debug their problems alongside them, and feed what you learn back into the product.


• Tackle the hard parts. Latency, cost, context window limits, eval coverage, hallucinations on real telemetry.

Who You Are

• You\'ve been building agents long enough to have opinions - about context engineering, tool design, when to use a skill vs. a tool, what evals catch and miss, and where popular frameworks break down.


• You think in production terms: p99 latency, cost per task, whether the system still works next week without intervention.


• You move quickly, ship often, and learn from what breaks.


• You care about developer tools and have a clear sense of what good DX looks like.


• You do well with ambiguity and ownership.

What You Bring

• 5+ years of software engineering experience, including 1-2 years on LLM-powered systems or agents in production.


• Strong backend skills in TypeScript/Node.js and/or Python. Comfortable in both, even if one is primary.


• Hands-on experience building agents: multi-step tool use, planning, memory, error recovery. You\'ve shipped them and dealt with the failure modes.


• Experience designing skills (Markdown-based workflow encodings, Anthropic-style or similar) and a clear view on when a skill, a tool, or both is the right fit.


• Experience with MCP: building servers, designing tools, and thinking through auth, scoping, and observability for agentic systems.


• Strong evals practice: golden sets, LLM-as-judge, regression detection.


• SQL proficiency - you can write ClickHouse queries directly.


• Comfort with Docker and Kubernetes.


• Active in open source and the developer community.

Bonus

• Built or operated production agents in observability, incident response, or SRE.


• Strong opinions on agent observability - tracing, cost attribution, eval pipelines, OpenTelemetry for agents - and ideas on how to improve it.


• Experience with prompt caching, context compaction, or other techniques relevant to running agents on production telemetry volumes.


• Experience with columnar databases and event ingestion pipelines.


• Contributed to or maintained an open source AI/agent project.


• Familiarity with Go, Rust, or other systems languages for integrations and high-throughput infra.

Perks

• Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 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 USD$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.

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 what's 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 see here for our Privacy Statement.

Compensation Range: £90K - £135K