AI-powered patient recruitment for clinical trials
Alleviate Health builds human-in-the-loop AI agents that engage patients via SMS and voice, pre-screen for eligibility, and schedule with recruiters for clinical research sites. This accelerates recruitment timelines and reduces costs for trials across various indications. It serves research sites in the US and Canada, processing hundreds of thousands of interactions to improve efficiency without replacing human oversight.
Owns customer retention and expansion for AI clinical trial platform, building relationships with pharma execs, leading QBRs, driving new studies and upsells, and feeding customer insights to product. Requires 2+ years healthcare B2B experience and operational rigor.
Generates sales pipeline via outbound cold calls, emails, LinkedIn, and events for an AI clinical trial platform. Partners with AEs to qualify clinical research site prospects; requires 1+ years outbound sales experience and onsite SF commitment.
Owns post-sale relationships with clinical research sites, leading implementation, onboarding, adoption, renewals, and expansions. Drives measurable outcomes, builds stakeholder trust from clinicians to C-suite, and collaborates with Product/Engineering on roadmap priorities. Requires 2+ years in Success, Account Management, or similar.
Account Executive owns full sales cycle for AI clinical trial recruitment platform, sourcing/closing deals with research sites, driving expansions, and building stakeholder relationships. Requires 2-4+ years closing experience, ideally in healthcare with 6-figure ACVs.
Business Operations generalist owning strategic customer deployments, operating models, partnerships, and turning customer insights into product requirements to accelerate AI-driven clinical trials. Requires 2-4+ years in strategy consulting, IB, VC, or tech BizOps with strong analytical and entrepreneurial skills.
Builds and scales AI agents for autonomous patient recruitment, screening, data collection, and 24/7 support in clinical trials. Focuses on ML models, multi-channel LLM deployment, and integrating legacy healthcare systems.