Life Sciences Platform Lead

Hippocratic AI•Palo Alto, CA

About The Position

Hippocratic AI is rapidly expanding across the pharmaceutical and medtech industries. We are building a new class of agentic AI that supports patients and healthcare stakeholders across the entire life sciences value chain, including patient services, clinical trials, access, adherence, and HCP-facing workflows. We are seeking a Life Sciences Platform Lead who brings deep domain expertise, strong executive presence, and the ability to turn real-world market needs into clear solution concepts and go-to-market alignment. This person will work directly with pharma customers, sales leadership, and internal cross-functional teams to define needs, frame solutions, guide early deployments, and help scale our platform across multiple life sciences verticals. The ideal candidate understands pharma operations end-to-end and can create clarity and structure in highly dynamic, ambiguous environments. This person will act as a GM across multiple mini-verticals, including patient services, clinical trials, HCP-support, and direct-to-patient engagement. The Life Sciences Platform Lead is responsible for identifying market needs, shaping solution frameworks, supporting enterprise sales conversations, and guiding early customer deployments. You will serve as a key interface with pharma executives and internal teams, ensuring that Hippocratic AI’s platform aligns with the realities of pharma workflows and operational challenges. You will help define repeatable solution patterns that scale across therapeutic areas and business units. You will report to the President, Life Sciences, and work closely with the Chief Commercial Officer, Sales, Customer Success, and Product leadership.

Requirements

10–15 years of experience across pharma, life sciences, digital health, patient services, specialty pharmacy, or adjacent fields.
Deep understanding of workflows such as patient support programs, access and reimbursement, specialty pharmacy operations, adherence and persistence, clinical trial recruitment and retention, and medical information or safety processes.
Strong executive communication skills and ability to engage credibly with VP, SVP, and C-suite stakeholders.
Ability to translate complex operational problems into clear, structured solution concepts.
Experience partnering with sales or solution engineering teams during enterprise engagements.
Comfort working in high-growth environments with limited structure and high expectations for ownership.
Exceptional written and verbal communication skills.

Nice To Haves

Experience with digital health platforms or patient engagement technologies.
Familiarity with selling or deploying technology into large pharma organizations.
Understanding of MLR, AE reporting, non-promotional requirements, privacy, and governance frameworks.
Startup or early-stage company experience.
Advanced degree (MBA, MPH, MS) is a plus.

Responsibilities

Market Insight and Need Definition Conduct structured discovery with pharma executives across commercial, market access, patient services, medical, safety, and clinical development.
Map end-to-end workflows for patient support, access, adherence, pharmacy operations, clinical trials, and HCP engagement.
Identify unmet needs and convert them into clear opportunity briefs, use-case definitions, and solution archetypes.
Prioritize opportunities based on strategic value, feasibility, and platform scalability.
Solution Framing and Commercial Support Develop solution frameworks, workflows, and deployment models that guide Sales and internal teams.
Support enterprise sales conversations, whiteboarding sessions, workshops, and RFP processes.
Create compelling narratives and ROI models for patient services, adherence, clinical trials, call center transformation, and direct-to-patient engagement.
Help Sales navigate complex pharma decision-making processes, including MLR, legal, compliance, procurement, IT security, and governance.
Deployment Guidance and Scaling Offer strategic oversight during early deployments to ensure workflows, guardrails, and value drivers are properly represented.
Gather learnings from pilots and enterprise engagements and translate them into recommendations for GTM and internal teams.
Help define repeatable deployment models for patient services, clinical trials, and omnichannel support use cases.