Jobs at Physical Superintelligence

Own company-wide recruiting for technical, research, leadership, and executive roles. Build the sourcing engine, candidate network, interview processes, scorecards, ATS infrastructure, funnel reporting, and recruiting compliance practices from scratch. Personally source, assess, represent, and close exceptional candidates while maintaining a high hiring bar. The role requires deep recruiting experience with frontier AI, research, engineering, or deep-tech talent, strong executive search judgment, technical fluency, discretion, and comfort operating as the first recruiting hire at a seed-stage company.

Serve as strategic partner to the CEO to build and run company operations: scale hiring and performance management, own processes (PM, KPI tracking, legal/compliance, finance, HR), deploy agentic AI workflows across operations, and scale commercial operational readiness to support revenue growth.

Own and prioritize a portfolio of AI-driven physics discovery campaigns, decide routing of results (publication, patent, trade secret, open source), build external review and IP intake pipelines, manage filings with counsel, and defend portfolio allocations while ensuring verification and compliance.

Lead and build an Applied AI organization that turns PSI's AI and physics research into customer-facing solutions. Hire and manage teams, scope and deliver engagements, integrate research and engineering, stay hands-on technically, and partner with sales to drive revenue while ensuring reusable, trustworthy deliverables.

Lead and scale the Physics organization to run frontier physics research programs, ensure rigorous evaluation and verification for AI training, manage staffing and execution across a research portfolio, partner with AI and Engineering teams, and carry hands-on scientific work while delivering publishable, externally validated results.

Lead Core AI to build models, agents, and training systems that enable AI-driven physics discovery. Set roadmap, own research portfolio and infrastructure, hire and coach top talent, stay technical as a player-coach, and ensure results are scientifically trustworthy and production-ready for Applied AI and Engineering teams.