Recruiter

Reinforced Learning; Town of Tonawanda (NY); Sur place; USD 120 000 - 180 000; Plein temps

Avantages offerts par ce poste

Executive search firm experience

In-house high-growth startup culture

Opportunities in AI talent market

Résumé du poste

Reinforced Learning is hiring a Business Recruiter to drive end-to-end hiring for our business and operations teams, working with the Lead Business Recruiter and the founding team. You will recruit at the caliber level of top firms and firms, building pipelines from elite finance, consulting, PE, and tech to close high-impact roles.

You will partner with executives to define hiring profiles, run rigorous interviews, and own the candidate experience from outreach to close, iterating on our funnel

Qualifications

• 4-7+ years of recruiting across agency and in-house.
• Proven ability to attract and close top talent.
• Strong communication with founders, GTM leaders, and executives.

Responsabilités

• Run full-cycle recruiting for business and operations roles.
• Build proactive talent pipelines from elite finance, consulting, PE, and tech.
• Partner with executive team to define hiring profiles and prioritize searches.
• Define rigorous interview processes testing drive and judgment.
• Maintain recruiting infrastructure including scorecards and rubrics.
• Close candidates and represent Reinforced Learning's mission to top talent.

Connaissances

Full-cycle recruiting

Talent pipelines

Strong communication

Closing candidates

Agency & in-house recruiting

Sourcing tooling

Outils

Sourcing tools

Description du poste

Overview

This is a Business Recruiter role, working closely with our Lead Business Recruiter and the founding team. You will drive full-cycle hiring for our business and operations functions — Strategic Projects, Operations, GTM, and every business-side function we build out — using the sourcing engine, interview rubrics, and closing motion the team is building to bring in elite talent across every business-side hire we make. You should be excited to recruit at the same caliber bar that built the rest of the team — Jane Street, Citadel Securities, Meta, Google, Palantir, Goldman Sachs, Morgan Stanley, Silver Lake, MBB consulting, top PE, and top hedge funds. The most consequential talent in the market is increasingly choosing AI. We need someone who can identify it, get them in the room, and close.

What you'll do

• Run full-cycle recruiting for Reinforced Learning's business and operations roles — sourcing, screening, interviewing, and closing top-tier candidates across Strategic Project Operations, GTM, and other key business functions we build out.
• Build deep, proactive talent pipelines from elite finance, consulting, PE, and tech firms — the same caliber bar as our existing team — and convert them.
• Partner with the Lead Business Recruiter and the executive team to define hiring profiles, prioritize searches, and run rigorous interview processes that test for agency, drive, and judgment.
• Support recruiting infrastructure across the company — scorecards, interview rubrics, sourcing tooling, the candidate experience, and the offer-and-close motion that turns interest into signed contracts.
• Close candidates and represent Reinforced Learning's mission, momentum, and opportunity compellingly to the highest-bar talent in the market.
• Treat recruiting as a measurable function — track your funnel, model conversion at every stage, and iterate on what's working.

What we're looking for

• 4-7+ years of experience across agency and in-house recruiting. A track record of identifying, attracting, and closing strong talent.
• Intense work ethic, agency, and drive. You're a builder first, and thrive in ambiguity.
• Competitive nature and demonstrated past success across whatever you've done.
• Strong communication skills — you can hold your own opposite a founder, a Jane Street trader, or a GTM leader, and you build pipelines that founders trust.
• A genuine interest in the Reinforced Learning thesis: that the future of AI is bottlenecked on human data, and that the talent generating, designing, and bringing that data to market is the most important hiring decision the company makes.
• High agency, low ego, speedy but thoughtful. Comfortable in a 5-day in-office SF environment that prizes speed and direct feedback.

Bonus

• Experience recruiting at a top executive search firm (e.g., Spencer Stuart, Heidrick, Egon Zehnder, Russell Reynolds, True Search, Daversa), a strong in-house recruiting team, or a high-growth tech/AI startup.
• Prior experience hiring for finance, consulting, PE, or operationally rigorous business roles — and a personal network in those pools.
• Making a pivot into AI from a strong track record elsewhere — finance, consulting, search, or operating roles — with demonstrated success.