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Hippocratic AI

Licenses safety-focused healthcare LLMs to institutions

Deployment Strategist - Life Sciences

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeMenlo Park, CA, USANo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree from an accredited university.
  • At least four years of experience in life sciences consulting or customer-facing strategy and implementation, leading complex engagements in fast-paced, ambiguous environments.
  • Strong analytical skills and comfort using data and metrics to drive decisions, with experience using tools such as Python, R, SQL, or Excel.
  • Communication and stakeholder-management ability across clinical staff, IT, and executives, with autonomy in client-embedded settings.
  • Ability to travel 25–40%, including overnight and out-of-state trips.
  • Generalist or subject-matter expertise in a life sciences area such as clinical trials, patient services, HCP enablement, or medical devices.
  • A customer-success mindset, including ownership of adoption, retention, and account health, combined with strategic and technical depth to drive complex deployments.

Responsibilities

  • Go onsite with client leaders and teams to uncover key problems, workflows, and bottlenecks, then own the full deployment lifecycle—design, configuration, rollout, and optimization—alongside Forward Deployed Engineers.
  • Build and train new user groups on customized workflows across patient services, clinical operations, contact centers, and HCP enablement.
  • Track deployment performance and return on investment, turning data into recommendations and demos or presentations for audiences from directors to C-suite.
  • Embed with Product and Engineering to feed field insights into the broader roadmap.
  • Act as trusted advisor and customer success owner for life sciences accounts by building executive relationships, running quarterly business reviews, and driving adoption, retention, renewals, and expansion.
  • Define success metrics tied to each customer's goals and proactively flag renewal risks.
  • Tailor deployments to sector use cases such as patient/HCP engagement, trial recruitment, adherence, and device onboarding.
  • Partner with regulatory, quality, and compliance teams to meet standards including GxP, HIPAA, FDA, and EMA, and represent life sciences needs back to Product and Engineering.
  • Manage client relationships so deployments stay on track.
  • Coordinate closely with internal engineering to resolve blockers before they affect timelines.
  • Meet go-live dates while maintaining a strong quality focus.
  • Help clients navigate the internal change management needed to adopt the solution.
  • Turn a single successful use case into a multi-use-case program.
  • Connect client goals with internal execution so scaling feels like a natural next step rather than a renegotiation.

Desired Qualifications

  • Familiarity with life sciences data standards, workflows, and regulatory frameworks, including GxP, GCP, 21 CFR Part 11, HIPAA, FDA/EMA submissions, and pharmacovigilance.
  • Background at forward-deployed or leading life sciences consulting firms, with experience deploying or scaling AI, machine learning, or enterprise SaaS.
  • Startup experience and comfort building from scratch.
  • Prior customer success or account management experience, ideally owning a book of enterprise accounts.
  • Experience presenting outcomes at conferences or executive forums.

About the Company

Hippocratic AI

Licenses safety-focused healthcare LLMs to institutions

Hippocratic AI builds specialized language models for healthcare that hospitals and clinics license to support non-clinical tasks and improve patient care and operations. The models are trained on evidence-based medical content and refined with a Reinforcement Learning with Human Feedback process from healthcare professionals to ensure safety and reliability. It differentiates itself by prioritizing safety, equity, and bedside-appropriate interactions, with validation on healthcare exams to ensure real-world applicability. Its goal is to improve healthcare access, equity, and outcomes by providing safe, trustworthy AI tools for clinicians and patients.

Company size
201-500
Company stage
Series C
Total funding
$387M
Headquarters
Palo Alto, CA
Founded
2022

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