Careers

We are hiring people who have done the work.

If you have spent years watching good recommendations die in a backlog, we would like to talk.

3 roles openAll full-timeRemote
Open roles

Three seats.

Small team, no layers. Every role here owns its outcome end to end.

What you will do
  • Design and build the console: the run ledger, the change diffs, the approval flow, the reporting surfaces.
  • Work in the design system rather than around it — extend the tokens and components when the work needs it.
  • Turn dense measurement data into screens an operator can read in ten seconds.
  • Ship your own front-end. Designs handed over as specs are recommendations, and we do not believe in those.
What we look for
  • You design and write production front-end code. Both, to a high standard.
  • You have shipped an interface with real data density — dashboards, consoles, trading or analytics tools.
  • You argue about type, spacing and hierarchy, and you can say why.
Apply for this roleORG-001 · careers@organicaly.ai
What you will do
  • Build and lead the managed-service team: onboarding, account strategy, quarterly reviews.
  • Own retention and expansion for enterprise accounts, with the engine doing the execution.
  • Set the line between what the engine ships automatically and what a human approves.
  • Feed the pattern you see across accounts back into the product roadmap.
What we look for
  • You have run organic growth or a services practice inside an enterprise, not just advised one.
  • You have carried a retention number and hit it.
  • You are comfortable being the person who tells a customer a change did not work, and what got reverted.
Apply for this roleORG-002 · careers@organicaly.ai
What you will do
  • Build and evaluate the models that choose which fix is worth making, not just which ones exist.
  • Design the offline and online evaluation: control groups, holdouts, reverting losers automatically.
  • Own the generation quality bar for content and schema the engine writes to live sites.
  • Keep inference cost and latency inside a budget that lets the loop run in minutes.
What we look for
  • You have shipped ML into production and owned it after launch, including when it regressed.
  • You are rigorous about evaluation. You do not trust a metric without a control.
  • Experience with retrieval, ranking or LLM pipelines at scale is what this work is made of.
Apply for this roleORG-003 · careers@organicaly.ai
How we hire

Four steps, one week.

The process is short on purpose. A hiring pipeline that takes a quarter is the same failure we built the engine to fix.

01Step

Send us your work

A note and something you have shipped. No cover letter, no form with twelve fields.

02Step

One conversation

Forty-five minutes with the person you would work with, about the work itself.

03Step

A paid exercise

Scoped to a day, on a real problem, paid at your rate. You keep what you make.

04Step

Decision in a week

Either way, with the reasoning. We do not leave people in a queue — the whole company is an argument against that.