The RoleYou will build Output's team. This is a full-cycle recruiting role covering every hire from AI research scientists to computational biologists to drug discovery leads. You need to understand both the AI/ML research community and the biotech talent landscape well enough to source, screen, and close candidates who work at the intersection of the two.
- You will own end-to-end recruiting across all roles: sourcing, outreach, screening, managing interview loops, and closing
- You will build and maintain a candidate pipeline through proactive sourcing, networking, and long-term relationship building with researchers and scientists in AI, biology, and drug discovery
- You will conduct first-round screening interviews, evaluating candidates with enough technical fluency to distinguish real depth from surface familiarity in AI/ML and computational biology
- You will design and continuously improve screening frameworks and interview processes, ensuring Output identifies exceptional talent efficiently and consistently
- You will represent Output at key venues including AI conferences (NeurIPS, ICML, ICLR) and biotech events, building relationships with researchers, PhD students, and postdocs
- You will partner with the founders and hiring managers to define roles, set hiring strategy, and ensure every candidate experiences a rigorous and human process
- You will own and maintain the ATS, keeping pipeline data clean and using it to track progress, identify bottlenecks, and improve workflows
- You will manage the process through to offer: structuring competitive compensation packages, presenting offers to candidates, and handling negotiations on equity, salary, and terms
About You- You have 3+ years of full-cycle technical recruiting experience with a meaningful focus on AI/ML, research, or engineering roles
- You have a track record of sourcing and closing niche technical talent in highly competitive markets
- You have enough technical fluency in AI/ML to screen research candidates credibly: you understand the difference between someone who has trained models and someone who has used APIs, and you can assess publication records and research depth
- You are comfortable building proactive sourcing strategies and cultivating long-term candidate relationships, not just filling open roles
- You have familiarity with the AI/ML research community: key conferences, top labs, publication venues, and how researchers evaluate opportunities
- You have strong interpersonal skills and the ability to build trust with researchers and scientists who are skeptical of recruiting outreach
- You have working knowledge of startup compensation structures, including equity, vesting, and how to position offers competitively against well-funded AI labs
- You are comfortable working in a stealth environment where you cannot rely on brand recognition and must sell on substance
Bonus Points- You have experience recruiting in biotech, drug discovery, or computational biology in addition to AI/ML
- You have experience as the first or early recruiter at a startup, building processes from scratch
- You have experience with ATS platforms (Ashby, Greenhouse, or similar)
- You have experience building university partnerships or intern/new-grad pipelines
- You have a scientific or technical background that gives you deeper candidate assessment ability
What We Offer- We encourage new and different ideas, creativity and contrarian thinking
- Healthy feedback focused environment to help you strive - leadership will have high expectations, regularly share constructive feedback, support you and help you grow, and welcome receiving feedback and ideas from you
- You own your day-to-day management. What we care about is that we all hit our milestones
- Competitive salary and equity in a growing, well-funded startup
- Excellent medical, dental, and vision coverage
