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Lead end-to-end AI deployments for life sciences customers, focusing on workflow discovery, solution design, and ongoing optimization. Act as the primary relationship owner to drive adoption, retention, and expansion while aligning product roadmaps with sector-specific needs.
Requires a bachelor's degree and 5+ years of experience in life sciences consulting and customer-facing implementation. Candidates must possess strong analytical skills, proficiency in tools like Python or SQL, and the ability to travel up to 50%.
Hippocratic AI is the leading generative AI company in healthcare. We have the only system that can have safe, autonomous, clinical conversations with patients. We have trained our own LLMs as part of our Polaris constellation, resulting in a system with over 99.9% accuracy.
Reinvent healthcare with AI that puts safety first. We’re building the world’s first healthcare‑only, safety‑focused LLM — a breakthrough platform designed to transform patient outcomes at a global scale. This is category creation.
Work with the people shaping the future. Hippocratic AI was co‑founded by CEO Munjal Shah and a team of physicians, hospital leaders, AI pioneers, and researchers from institutions like El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA.
Backed by the world’s leading healthcare and AI investors. We recently raised a $126M Series C at a $3.5B valuation, led by Avenir Growth, bringing total funding to $404M with participation from CapitalG, General Catalyst, a16z, Kleiner Perkins, Premji Invest, UHS, Cincinnati Children’s, WellSpan Health, John Doerr, Rick Klausner, and others.
Build alongside the best in healthcare and AI. Join experts who’ve spent their careers improving care, advancing science, and building world‑changing technologies — ensuring our platform is powerful, trusted, and truly transformative.
We believe the best ideas happen together. To support fast collaboration and a strong team culture, this role is expected to be in our Palo Alto office five days a week, unless otherwise specified.
As a Deployment Strategist, you’ll work as part of a driven and creative team of Engineers, Product Designers, and other Deployment Strategists to deploy our AI against the most important problems in healthcare delivery.
Your mission is to synthesize disconnected streams of thought into an understanding of what the most important problem is, what the data means, what the product needs, what users are motivated by, and where the impact could be. You’ll immerse yourself in our customers’ most intricate workflows—across life sciences—and plunge into the product landscape to enable us to scale.
This role requires a curious and analytical approach, a sharp intuition for the product, and a strong degree of user insight to ultimately empower our customers to improve decisions and patient outcomes. You may spend multiple days per week onsite at client locations.
Beyond initial deployment, you will own the long-term success of your accounts—blending the responsibilities of a customer success manager with those of a strategist. You will be the primary relationship owner for your life sciences customers, driving adoption, retention, renewal, and expansion while serving as their trusted advisor across the full lifecycle.
This role is dedicated to the life sciences sector—MedTech, medical devices, biotech, and pharma. You will become deeply fluent in how these organizations operate, from R&D and clinical development through commercialization, manufacturing, regulatory affairs, and post-market patient engagement, and you will tailor every deployment to the realities of a highly regulated, scientifically rigorous industry.
What You’ll Do
Go onsite and meet with senior client leaders, and operational teams to understand the critical questions they need to answer and locate their biggest problems.
Identify relevant datasets, workflows, and operational bottlenecks through deep engagement with customer problems.
Own end-to-end customer deployments: workflow discovery, solution design, configuration, rollout, adoption, and ongoing optimization.
Work with Forward Deployed Engineers to integrate data into stable and extensible pipelines and ensure smooth technical execution.
Build customized workflows for new user groups across patient services, clinical operations, contact centers, and HCP enablement.
Lead training sessions to ensure the product is meeting user needs and having concrete impact on operations and patient care.
Drive analytics on deployment performance—measure outcomes, identify bottlenecks, and recommend data-driven improvements.
Present the results of our work and proposals for future work to audiences ranging from Directors to C-suite executives.
Embed with our Product and Engineering teams to incorporate what you see in the field into cross-company product offerings.
Build and deliver demos to new and existing customers.
Manage stakeholder relationships from project teams to executives, acting as a trusted advisor and execution partner.
Scope out potential expansion opportunities within existing accounts and new use cases.
Serve as the dedicated customer success owner for your life sciences accounts—building executive relationships, running quarterly business reviews, and driving adoption, retention, and renewals.
Define and track success metrics and ROI tied to each customer’s scientific, clinical, and commercial goals, and proactively surface risks before they affect health and renewal.
Tailor deployments to life sciences use cases across MedTech, medical devices, biotech, and pharma—such as patient and HCP engagement, clinical trial recruitment, adherence, medical information and field support, and device onboarding.
Partner with customers’ regulatory, quality, medical affairs, and compliance teams to ensure deployments meet life sciences standards (e.g., GxP, HIPAA, FDA, and EMA expectations).
Act as the voice of the life sciences customer internally—channeling sector-specific needs back to Product and Engineering to shape the roadmap.
What We Require
Bachelor’s degree from an accredited university.
5+ years of experience in life sciences consulting and customer-facing strategy + implementation
Demonstrated experience leading complex implementations or customer engagements in fast-paced, ambiguous environments.
Strong analytical and quantitative skills—comfort with data, metrics, and using analytics to drive decisions.
Experience with programming, scripting, or analytical tools (e.g., Python, R, SQL, Excel).
Excellent communication and stakeholder management skills across diverse audiences (clinical staff, IT, executives).
Comfort operating autonomously in client-embedded environments with minimal oversight.
Ability to travel 25–50%, including overnight and out-of-state trips.
A generalist across, or an expert in, one of the life sciences fields - clinical trials, patient services, HCP enablement, med devices, or other.
A customer-success mindset—ownership of adoption, retention, and account health—paired with the strategic and technical depth to drive complex deployments.
Nice-to-Have
Familiarity with life sciences data standards and workflows.
Background at companies with forward-deployed models or top life sciences consulting firms.
Experience deploying or scaling AI, ML, or enterprise SaaS products.
Startup experience and comfort building from scratch.
Experience presenting outcomes and best practices at conferences or executive forums
Prior customer success, account management, or renewals experience, ideally owning a book of enterprise accounts.
Familiarity with life sciences regulations and frameworks such as GxP, GCP, 21 CFR Part 11, HIPAA, and FDA/EMA submission and pharmacovigilance processes.
Please be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process.
Hippocratic AI - A safety focused large language model (LLM) for the healthcare industry
Hippocratic AI has developed a safety-focused Large Language Model (LLM) for healthcare. The company believes that a safe LLM can dramatically improve healthcare accessibility and health outcomes in the world by bringing deep healthcare expertise to every human. No other technology has the potential to have this level of global impact on health. The company was co-founded by CEO Munjal Shah, alongside a group of physicians, hospital administrators, healthcare professionals, and artificial intelligence researchers from El Camino Health, Johns Hopkins, Stanford, Microsoft, Google, and NVIDIA. Hippocratic AI has received a total of $278 million in funding and is backed by leading investors, including Andreessen Horowitz, General Catalyst, Kleiner Perkins, NVIDIA’s NVentures, Premji Invest, SV Angel, and six health systems. For more information on Hippocratic AI, www.HippocraticAI.com. Be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com email addresses. We will never request payment or sensitive personal information. If anything appears suspicious, stop engaging immediately and report the incident.
Offices: 435 Portage Ave, Palo Alto, California 94306, US
