Phylo

Build and lead Phylo’s recruiting function while personally sourcing and closing business, scientific, and engineering talent. The role requires five-plus years of high-bar recruiting experience, early-stage process-building ability, strong judgment, and effective use of AI and automation.

Build and scale the security, privacy, and compliance program at an AI-biomedical startup. Lead SOC 2, ISO 27001, HIPAA and FedRAMP readiness, partner with engineering on technical controls, run risk assessments, and handle customer security reviews in a hands-on early-stage environment.

Build and evaluate production AI agent harness systems for biomedical discovery. Own multi-agent coordination, planning, tool use, memory, rigorous evaluations, and infrastructure for reliable scientific agents. Requires strong backend/ML engineering and quantitative judgment.

Forward Deployed Scientist partnering with biotech/pharma customers to build biomedical environments and evaluation pipelines for AI agents. Requires PhD, industry computational biology experience, strong engineering skills, and deep expertise in drug discovery, preclinical, or clinical domains.

Owns the full enterprise sales cycle for pharma and biotech accounts, converting pilots into recurring, expanding revenue. The role requires complex-deal experience, scientific fluency, MEDDPICC discipline, and the ability to sell usage-based platforms to R&D stakeholders.

Own the post-sales experience for strategic enterprise biopharma accounts, driving adoption, retention, onboarding, support, and expansion. The role suits a hands-on builder with 2–4+ years of customer-facing experience, strong biology intuition, and comfort operating in an ambiguous startup environment.

Build and operate Kubernetes-based infrastructure for secure, reliable enterprise AI deployments across cloud and customer-managed environments. The role requires production Kubernetes experience, cloud infrastructure expertise, infrastructure as code, networking, security, and deployment automation.

Builds and operates core distributed systems, infrastructure, and service architecture for Phylo's agentic AI platform, ensuring reliable scaled execution across cloud and enterprise environments. Requires 3+ years in backend/infrastructure engineering with Kubernetes and cloud expertise.

Builds and owns full-stack product features with frontend focus for AI agent platform used by biomedical scientists, including UI, backend APIs, billing, and authentication. Requires 2+ years experience, strong React/TypeScript skills, and cross-functional collaboration.