Contract Recruiter

Physical Superintelligence•Boston, MA

1d•Remote

About The Position

Physical Superintelligence is a startup with roots at Google, NVIDIA, Harvard, Meta, MIT, Oxford, Johns Hopkins, Cambridge, and the Perimeter Institute building AI systems to discover new physics at scale. Our mission is to discover and commercialize transformative physics breakthroughs at scale with artificial superintelligence, safely, verifiably, and for broad public benefit. We believe artificial superintelligence will unlock the next golden age of physics. We're creating the infrastructure to industrialize scientific discovery and usher in this new era. We have one product: new physics, at scale.

Requirements

Experience sourcing or recruiting highly technical talent, ideally across AI, machine learning, or related engineering roles.
Strong understanding of modern AI sourcing tools and workflows.
Hands-on experience using tools such as Juicebox, LinkedIn Recruiter, and AI research or sourcing platforms to identify and engage candidates.
Experience creating targeted sourcing campaigns rather than relying primarily on inbound applicants.
Ability to use AI tools to research candidates, companies, talent markets, and adjacent candidate pools efficiently.
Strong sourcing judgment. You can distinguish between someone who matches keywords and someone who could actually succeed in the role.
Comfortable learning technical profiles quickly and calibrating with hiring managers.
Strong written outreach skills with an ability to personalize messaging without sacrificing speed.
Highly organized and comfortable maintaining accurate candidate data and pipeline activity in an ATS.

Nice To Haves

Experience building automated or semi-automated sourcing workflows.
Experience integrating sourcing tools or recruiting workflows with Ashby.
Experience recruiting for an early-stage or rapidly growing technical startup.

Responsibilities

Build the Applied AI and Core AI top of funnel.
Partner with our team to understand the profiles we need across Applied AI and Core AI, then translate those requirements into targeted sourcing strategies and candidate campaigns.
Create AI-powered sourcing campaigns.
Use tools such as Juicebox, LinkedIn Recruiter, and other AI-native sourcing and research platforms to build and orchestrate targeted campaigns. Experiment with searches, candidate profiles, messaging, and sourcing channels to identify people traditional searches may miss.
Find hard-to-reach AI talent.
Go beyond obvious profiles and keyword searches. Research adjacent companies, technical communities, open-source contributors, researchers, engineers, and other talent pools that could produce strong Applied AI and Core AI candidates.
Own candidate research and outreach.
Build candidate lists, prioritize prospects, write personalized outreach, and manage follow-up campaigns. Use AI to increase speed and scale while maintaining a high bar for relevance and personalization.
Integrate sourcing workflows with Ashby.
Ensure candidates and sourcing activity flow cleanly into Ashby. Build or improve workflows between sourcing tools and Ashby where possible so candidate information, outreach activity, and pipeline status remain organized and usable by the broader recruiting team.
Track campaign performance.
Monitor which searches, talent pools, outreach strategies, and campaigns are producing qualified candidates. Use that information to continuously refine sourcing efforts and focus time on the highest-performing approaches.
Follow through on offers. Understand what a given candidate is actually weighing — comp, mission, ownership, team — and help make an honest case for what PSI offers instead of over-promising.