Job Description

About The Role

Alignerr is where domain experts, engineers, and creators join to work on the projects that power frontier AI. Growth Operations keeps that engine running: we find the right people, launch new data projects fast, and make sure the work that comes back is good.

We're hiring a Growth Operations Manager based in the Chicago area: a generalist who can pick up an ambiguous problem on Monday and ship a working system by Friday. You'll report to the Director of Growth Operations and work closely with engineering, product, legal, and delivery teams.

Location: Remote / Chicago, IL

What You'll Do

Turn client briefs into live projects, from scoping and decisions through contributor instructions and recruiting.
Build and run sourcing and screening pipelines for specialized talent, across domains and languages.
Dig into the data to find out why contributors drop off or quality slips, then work with product and engineering to fix it.
Turn one-off work into templates, trackers, and playbooks that other people can run without you.
Keep leadership informed on contributor supply, quality, and project health.

What We're Looking For

4–8 years in growth, operations, strategy, marketplace operations, recruiting operations, or a similar generalist role, ideally at a startup or scale-up in the Chicago area.
A track record of owning ambiguous, cross-functional projects from zero to shipped.
Strong analytical skills: fluent in spreadsheets, comfortable with SQL or willing to learn fast, and able to make sense of large, messy datasets.
Excellent written communication, with the ability to explain complex things simply.
Good judgment on when to move fast and when to pull in legal, security, or quality.
High ownership and a bias to action.

Nice to Have

Experience with marketplaces, talent platforms, crowdsourcing, or AI training data.
Recruiting or sourcing experience at volume, including niche or technical talent.
Multilingual ability or experience with global communities.
Scripting or automation skills (for example Python, or AI tools to scale repetitive work).

What Success Looks Like

First 30 days: you've learned the platform and taken ownership of a defined workstream.
First 90 days: you've independently launched a project or pipeline and moved a key metric.
First 6 months: you're the go-to owner for a strategic area, with systems others can run.

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