See how candidates think and approach the work this role demands, before the phone screen. We'll build a video challenge from this posting, and you can edit or share it before it goes live.
A fast-growing AI infrastructure company is hiring a dedicated operations specialist to triage recruiting requests and build AI tools into its hiring workflow, suggesting that even recruiting is being restructured around AI-assisted systems at companies scaling this quickly.
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
Are you the person your recruiting team goes to when something needs fixing, answering, or building? As a Recruiting Operations Specialist, you'll keep the day-to-day requests from the recruiting team and our hiring partners moving quickly and accurately across our recruiting systems, reporting, and AI tools. Baseten is growing fast, and this role helps the recruiting team keep up.
Much of your time goes to intake: sorting requests, resolving what you can, routing the rest, and closing the loop. As you learn our systems, you'll take on project work that makes those requests less frequent over time. You'll report to the Recruiting Operations Lead and work alongside another Specialist, plus a Recruiting Operations Program Manager and an Analyst, supporting both with data, setup, and rollout work.
EXAMPLE INITIATIVES
Take a look at these recent posts to see the pace of growth our recruiting team supports:
RESPONSIBILITIES
Own intake for requests and questions from recruiters, coordinators, and hiring managers: sort them, resolve what you can, route the rest, and close the loop with the requester.
Set up and update our ATS, including opening new jobs, building interview plans, and maintaining interviewer assignments and interviewer pools.
Manage system access, permissions, and tool licenses for recruiters, coordinators, interviewers, and hiring managers.
Keep recruiting data clean and trustworthy by loading candidate information from spreadsheets, email, and sourcing exports, merging duplicates, fixing candidate sources, archiving stale records, and flagging suspicious applications.
Keep open roles in the ATS aligned with the company headcount plan, and flag mismatches.
Pull data for recruiters and leadership, such as pass-through rates, interviewer load, and time-to-hire, and keep recurring reports accurate.
Build and maintain workflows, automations, and AI-powered tools that cut manual work, and help the team get the most out of them.
Write and maintain how-to guides, short video walkthroughs, onboarding material, and announcements when recruiting processes or tools change.
Spot patterns in incoming requests and turn them into lasting fixes, such as a guide, template, or tool.
Support larger recruiting programs by preparing data, testing new tools, and handling rollout tasks, and own smaller recruiting operations projects end to end.
REQUIREMENTS
1+ year in recruiting coordination or recruiting operations, ideally at a fast-growing company.
Hands-on experience administering or configuring an applicant tracking system, not just using it (Ashby strongly preferred; Greenhouse, Lever, or Workday also relevant).
Ability to turn a hiring need into a working ATS setup (job, stages, interview plan, forms) with little direction.
Experience pulling and sharing recruiting data, such as building simple reports or keeping recurring ones up to date.
Experience building something with AI, like a prompt workflow, a custom GPT or Claude Project, or a small automation.
Strong triage judgment: you can decide what's urgent, what can wait, and when to escalate.
Highly organized and detail-oriented, and comfortable with a high volume of small requests without letting things drop.
Comfortable with spreadsheets and basic data work, such as filters, pivot tables, and spotting numbers that don't add up.
Clear, friendly written communication, especially in Slack and documentation.
Able to work from our San Francisco office Tuesday through Thursday.
NICE TO HAVE
Experience training others on tools or processes.
Experience in technical or AI/ML recruiting.
BENEFITS
Competitive compensation, including meaningful equity
(U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
(U.S. only) Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
baseten:88fe7cb5-3e97-4548-a2d1-c97d40c51110basetenThis posting hasn't been probed by our closure verifier yet. Stream C runs on a rolling schedule against postings approaching the close-decision threshold.
See how we measure for definitions, or our corrections log for known issues. Found something wrong? Flag a correction.