Growth Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 16h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 10d ago
The date the source published, not the day we noticed it (2026-09-21). Last seen at its source 1h ago.
We have tracked this listing since 21 Sep 2026 (10 days). The employer's own board has carried it every time we have read it, most recently 1 hour ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
United States
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $150k–222k/yr
Middle 50% of 3492 listings that do state pay — Engineering · all levels · United States · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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ashby employer's own board first seen 10d ago · last seen 1h ago
The listing
ClickHouse is looking for Growth Engineers who are obsessed with both craft UI and agentic experiences. You care about the button, the empty state, and the agent that helps someone get unstuck, and you care equally about whether any of it moved the number.
You’ll join our growth pod to build experimentation infrastructure, onboarding flows, and product surfaces across the self-serve funnel: classic human UI and AI-assisted / agent-driven flows. You’ll work side by side with unified console engineers, but your mandate is speed and impact: ship something testable, measure it, and iterate. You’re motivated by moving a number and learning fast, more than by getting every detail right on the first try.
This is a new role at ClickHouse. You’ll help define what growth engineering looks like here: PLG experimentation that spans human and agentic experiences. You’ll work closely with product, design, and data science on one pod, and partner with unified console and app teams on shared product surfaces.
What you will do:
Build and ship experiments across the self-serve funnel: signup, onboarding, activation, and monetization flows.
Design and polish human UI (flows, forms, empty states, navigation, microcopy surfaces) with a high bar for clarity and conversion.
Design and ship agentic experiences (AI-assisted onboarding, in-product agents, guided workflows) that help users reach value faster.
Run disciplined experiments on both: hypothesis, instrumentation, ship, learn. Tools like GrowthBook are part of the day-to-day.
Partner closely with product, design, and data science to go from idea to shipped experiment quickly.
Work within the Cloud Console codebase alongside unified console engineers, and partner with app teams (including Observability, Agents, and Postgres) on strong end-to-end user flows.
Obsess over metrics: acquisition, activation, and monetization. You want proof that what you shipped moved the needle.
Requirements:
Experienced in full-stack product engineering (TypeScript / Node / React), ideally including time on a growth, product, or experimentation-focused team.
Strong proficiency in TypeScript, Node.js, and React, with real taste for product UI.
Experience building with LLMs or agent patterns in a product (tool calling, streaming, evals, system/prompt design), or a clear track record of shipping AI features you measured and iterated on.
Comfortable shipping a smaller, testable version of an idea first, then iterating based on what you learn.
Familiarity with RESTful APIs and JSON.
Experience with experimentation or A/B testing tools (e.g. GrowthBook, Optimizely, LaunchDarkly), or strong interest in building that muscle.
Proficient with Git and collaborative code review.
Excellent communication skills. You’ll work daily with PM, design, data science, marketing, and other engineering teams.
Preferred Qualifications:
You’ve shipped both polished UI experiments and agentic / AI-assisted product experiences (not just prototypes), with instrumentation and iteration.
Experience on a growth or product-led-growth team, ideally at a company with a self-serve funnel.
Experience with ClickHouse or other data-intensive/analytics products.
Familiarity with Auth0 or similar auth integrations.
Experience working closely with (but not necessarily reporting into) a separate platform or infrastructure engineering team.
You have opinions on what makes great human UX and great agent UX, and you use AI heavily in your own workflow.
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.