Who We Are
General Medicine is a national, tech-enabled medical group delivering comprehensive adult care through telemedicine. Founded by the innovators behind PillPack (acquired by Amazon Health), we are an early-stage startup building the future of care delivery — we move fast and hire with intention.
About the Role
We need a Contract Recruiter to drive full-cycle hiring across marketing, corporate, and operations roles, with the capacity to flex as business priorities demand. This is a high-ownership role for someone who is AI-native, thrives in startup environments, and builds pipelines from scratch.
What the Work Looks Like
Own full-cycle recruiting across functions: Corp, Ops, Marketing, Design, Data and others as business priorities shift
Lean into AI tools and CRMs to source and engage a high volume of candidates
Run high-personalization outbound campaigns that convert
Partner with hiring managers to calibrate bar; keep Ashby clean across all reqs
Qualifications
3+ years full-cycle recruiting across technical, corporate, or go-to-market functions
Startup experience required — you know how to hire without a brand doing the work for you
Experience with and excitement about leveraging the new AI-enabled recruiting stack
Strong written outreach, high organizational discipline, comfort running multiple reqs at once
Healthcare or telehealth background a plus; Ashby familiarity a plus
Why General Medicine
Direct partnership with founders and functional leads
Contract-to-hire potential as the team scales
Fully remote anywhere in the US
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
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- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
