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Open nowPosted 17 hours ago

Operations, Strategy & Special Projects

Workable (global search)107,765 open roles

Where
United States
Work mode
Remote
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Your applicationOpen nowOperations, Strategy & Special ProjectsWorkable (global search) · United States
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Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 2 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.2%30 days
This job: posted 17 hours ago

Workable (global search) median: 2 days open

The posting

The Role

You'll report to our Head of Product Strategy & Special Projects and our co-founder and COO, and you'll work directly with them on whatever the company most needs solved that week.

You'll work on questions where a better answer can change what the company does next. The problems are unique, they're difficult, and no two days are the same. One week it's a new market that has to exist on paper before it exists on the ground. The next it's a model nobody has built, an ambitious idea that needs a plan before it can become real, or a set of facts scattered across the company that nobody has connected yet. You'll learn fast, question things that sound convincing, and verify the work before anyone acts on it. This role suits someone who is comfortable not knowing the shape of the answer at the start, who gets absorbed in a hard problem, and who wants to see their answer put to work.

The role has no fixed scope, and it will change as the company does. What stays constant is the level of the work. These are problems that today sit with the founders and the Head of Product Strategy & Special Projects, and we're looking for one more person who can carry them.

How We Work

Aquaria's leadership works AI-first. The people who run the company do their own analysis, build their own tools, and write their own documents, with AI doing most of the labor and them doing the judging. You'll work the same way. You'll do the work yourself, with the best AI systems available, and pull in whoever at the company knows the answer when the problem needs it.

Requirements

What We Value

We aren't looking for a specific background, and we don't care what you studied. We're looking for analytic ability, technical aptitude, and the habit of noticing the details that turn out to matter. People who do well here reason from evidence and can say exactly which parts of an answer they're sure of. They don't wait to be told what to do. They notice when something is wrong, even outside their field, even when everyone else has accepted it. They've usually built or written things nobody asked them to. And they already use AI for most of their serious work, and know it well enough to catch where it fails.

What We Require

  • Independent projects you started and finished on your own, that you can show us
  • Daily, serious use of AI systems as your primary way of doing work
  • Experience producing analysis from raw data and defending the conclusions
  • Experience writing for an audience, in any form

Our Values

We're building a winning culture and we're looking for people who are up for the challenge. Here's what we expect from day one:

  • Flat Organization: Everyone is expected to speak up, surface risks, and ship solutions.
  • Challenge the Status Quo: Question assumptions. Fix broken systems. Principles > rules.
  • Move Fast: Focus on what matters, act quickly, and learn by doing.
  • Give & Get Feedback: Be direct, be humble. Challenge ideas, including your own.
  • Own the Outcome: Take full responsibility. Deliver results. No excuses.
  • Act Like an Owner: Be resourceful, mindful of impact, and committed to the business.
  • Be Decisive: Drive clarity. Make bold calls with imperfect info.
  • Bring the Intensity: We're building something hard, and it takes real commitment. The work doesn't always fit inside standard hours.

To Apply

Send us two things. A link to something, or a portfolio, you built or wrote on your own, with a description on what it is and how AI figured into it. Show us what ever you are proud of you have built with AI.

And a short account of a time you caught something wrong that everyone else had accepted: how you established it was wrong, and what you did about it.

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