MLabs

Talent Operator

New York, New York, United States · Full-time

No sponsorship$120k-$200kDetected 23 days ago

CRMLogisticsProcess ImprovementRecruitingMentoringOrganizational Skills

About the role

IF IN CALIFORNIA, THE EXPECTATION IS THAT CANDIDATES WILL RE-LOCATE TO NYC WITHIN 6 MONTH.
Backed by over $27M in funding from premier venture capital firms like General Catalyst and Jump Crypto, the company has processed $50B+ in trading volume and generated significant revenue within the last year.

End-to-End Orchestration: Manage the internal hiring machine by liaising with hiring managers to define roles and coordinating with elite external search firms to maintain a robust candidate pipeline.
Founder Partnership: Collaborate closely with the founders to define high hiring bars and ensure a world-class experience for every candidate.
Systems and Data Management: Maintain full ownership of the CRM/ATS, ensuring data integrity, precise tracking of candidate interactions, and timely follow-ups.
Process Optimization: Identify bottlenecks in the hiring lifecycle and build scalable processes to resolve them.
Manage the internal hiring machine by liaising with hiring managers to define roles and coordinating with elite external search firms to maintain a robust candidate pipeline.
Collaborate closely with the founders to define high hiring bars and ensure a world-class experience for every candidate.
Maintain full ownership of the CRM/ATS, ensuring data integrity, precise tracking of candidate interactions, and timely follow-ups.
Identify bottlenecks in the hiring lifecycle and build scalable processes to resolve them.

Exceptional organizational skills with a proven ability to turn chaos into structured, efficient processes.

Familiarity with the crypto/Web3 landscape and the ability to communicate effectively with technical founders and engineers.
Prior experience at a top-tier VC firm or participation in a startup accelerator program (e.g., Y Combinator).
Previous exposure to high-intensity, high-growth projects in a non-technical capacity (Operations or HR).
Direct mentorship from experienced founders and exposure to high-level strategic decision-making.
If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion.
We genuinely appreciate your interest and wish you the best in your job search.
We ensure no discrimination, accessible job adverts, and providing information in accessible formats.
Our goal is to foster a diverse, inclusive workplace with equal opportunities for all.

$120K - $200K We are hiring on behalf of our client who is a high-growth fintech organization building the onchain broker layer for global markets.
Backed by over $27M in funding from premier venture capital firms like General Catalyst and Jump Crypto, the company has processed $50B+ in trading volume and generated significant revenue within the last year.
Operating as a lean, high-velocity team, our client is currently scaling its operations to meet the demands of high-volume macro traders.
The organization is seeking a Talent Operator to serve as the first dedicated internal talent hire.
This is not a traditional recruiting role; it is a strategic "internal engine" position designed for an individual who views talent acquisition as a complex operational puzzle.
Working directly with the founding team, the Talent Operator will build the infrastructure necessary to scale the company toward 200 employees, with a clear trajectory for professional advancement.

A fundamental belief that human capital is the primary lever for a company's success.
At MLabs, we are committed to offer equal opportunities to all candidates.
If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city.
Your data may be shared only with clients and trusted partners where necessary for recruitment purposes.

This listing is sourced directly from MLabs's careers page and normalized into a canonical job model.