Technical Recruiter - job 1 of 3
About Norm Ai
Norm Ai is the Compliance AI Platform for legal standards-based reasoning & workflow automation.
We developed the first Domain Specific Language (DSL) for fully representing regulatory requirements in AI code. This DSL, deployed with our enterprise platform, enables Norm clients to transform workflows and apply compliance checks at the source of business activities.
By building and deploying Government-Grade Regulatory AI, we are setting the norms for compliance processes at the largest institutions in the world, and laying the groundwork for the deployment of AI agents more broadly in highly regulated workflows. Our client base includes firms with a combined $30 Trillion in AUM, and growing quickly.
Our Software Engineers came from Palantir, Google, Meta, AWS, Harvard, Stanford, and MIT. Our Legal Engineers are from Harvard Law, Stanford Law, Yale Law, Sullivan & Cromwell, Simpson Thacher, Davis Polk, Greenberg Traurig, the SEC, and FINRA.
We have raised capital over the past 18 months from Vanguard, Blackstone, Bain Capital, Coatue, Craft Ventures, New York Life, Citi, TIAA, Larry Summers, and Marc Benioff.
This Role
We’re looking for an experienced Technical Recruiter who thrives in fast-paced, ambiguous environments and is passionate about building exceptional teams from the ground up. You will be instrumental in helping Norm AI scale by hiring top-tier talent across the Engineering, Product, and Design teams with the opportunity to build recruiting processes and work closely with our founders and leadership team. As a Technical Recruiter, you will operate as a true partner to hiring managers, from defining roles to closing candidates. You are a hard worker who is hungry to learn and eager to move a leading AI company forward.
You Will:
Own full-cycle recruiting for all technical roles from sourcing and screening to interviewing, offer negotiation, and onboarding.
Partner directly with hiring managers and founders to define role requirements and ideal candidate profiles.
Build, iterate, and scale recruiting processes tailored to a high-growth startup environment.
Drive sourcing strategies to identify and engage passive candidates through creative channels,
Drive a top-tier candidate experience.
Maintain a strong pulse on the talent market and provide insights on competitive hiring trends.
Represent Norm Ai, helping to define and build our employer brand and candidate pitch.
Track and report on pipeline metrics and recruiting performance.
Skills & Experience - Core
5+ years of experience as a full-cycle technical recruiter.
Proven track record of attracting top talent across Engineering, Product, and Design teams.
Thrive in ambiguity and enjoy building from scratch.
Excellent communication skills with the ability to influence cross functional partners.
Based in or willing to relocate to NYC, and comfortable working in a hybrid model.
Highly independent and comfortable working as an IC.
Skills & Experience - Pluses
Experience hiring in AI, ML, or LegalTech spaces.
Experience at an early-stage venture-backed company.
Familiarity with Ashby.
Comp and Benefits
$150,000 - $180,000 a year plus equity.
The range displayed in this job posting reflects the minimum and maximum target for new hire salary for this position. Within the range, individual pay is determined by various factors, including job-related skills (as uncovered during the interview process), experience, and relevant education or training. Please note that the compensation details listed here reflect the base salary only, and do not include equity or benefits. We offer a competitive salary along with equity compensation. Our comprehensive benefits package includes a 401(k) plan with an employer match. Employees enjoy top-tier insurance coverage, encompassing health, dental, hospital, accident, and vision plans. For candidates needing to relocate to NYC, we provide relocation reimbursement. You'll thrive in our fast-paced learning environment where professional growth is constant.
We embrace a flexible hybrid model, typically in-office 3–4 days per week.
Average salary estimate
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