Basis
Recruiting Associate
3w ago
135000 USD / yearUSAJunior
Manage a high volume of candidates to support rapid company growth.
Responsibilities
- Basis is in rapid growth-mode and looking to 3x our headcount within 12 months!
- In order to accomplish these goals, the Talent team is seeking a strong Recruiting Associate, to manage a high volume of candidates across all parts of our business
- In this role, you'll work directly with our Head of Talent to build our business
- If the below describes you, we'd love to hear from you:
- 0-1 year of experience within a recruiting agency, tech startup, hedge fund or investment bank
- Superb verbal & writing abilities
- Passionate about both people & AI
- Deeply curious about everything
- Quick learner
Conditions
- We offer a competitive and thoughtful benefits package designed to support your physical, mental, and financial well-being:
- Health & Wellness: Premium Medical, Dental, and Vision coverage; Life Insurance; and 6 coaching & 6 therapy sessions through Spring Health.
- Time off: Unlimited PTO + 12 paid company holidays.
- In-Office Perks: Daily meal stipends, a fully stocked kitchen, and $300 toward your custom desk setup.
- Financial Benefits: Pre-tax commuter benefits and 401(k) retirement plan
- Team Culture: Monthly office activities and frequent optional team happy hours.
- Parental Leave
Other
- Basis builds real agents that do real work in the real economy. Our agents operate for hours at a time, performing end-to-end work for some of the largest accounting firms in the world. We recently raised $100M at >$1B valuation and are racing to deploy the most advanced applied ML at production scale. Our investors include: Khosla Ventures (Keith Rabois & Vinod Khosla), Accel (Miles Clements), Google Ventures, Nat Friedman & Daniel Gross, Adam D'Angelo, Jeff Dean, Jack Altman, Noam Brown, Kyle Vogt, Amjad Masad, Clem Delangue and many other operators/technical leaders. "Basis is on the frontier of building production-grade, long-horizon agents. They've pushed the limits of what we thought our models could do on real-world, economically valuable, complex accounting tasks. They'v