The Head of Regulatory is responsible for ensuring Hippocratic AI's life sciences platform meets the scientific, medical, and regulatory standards required to operate within life science environments. You will serve as the company's authoritative voice on Regulatory Review cycle management, regulatory tracking and compliance, regulatory review including non-promotional engagement standards — working at the intersection of product, customer deployments, and external stakeholders.
You will guide how the platform handles MLR review processes, and regulatory requirements across therapeutic areas and geographies. You will also support enterprise sales and deployment conversations where medical credibility and regulatory confidence are critical to closing and scaling accounts.
You will report to the SVP of Medical Affairs, and work closely with the President of Life Sciences, Chief Commercial Officer, Sales, Customer Success, Product, and Engineering leadership.
Key Responsibilities
Regulatory Strategy and Oversight
Define and maintain Regulatory standards that govern the platform's patient-facing and HCP-facing interactions.
Establish labelling operations frameworks for l delivery, ensuring responses are accurate, evidence-based, and aligned with approved labeling and non-promotional requirements.
Advise on the regulatory requirements to ensure platform's compliant handling of medical inquiries, off-label questions, and clinical content across therapeutic areas.
Creative thinker who brings original ideas to the table and can partner with the product team to architect purpose-built AI agents for medical affairs workflows
Partner with Product and Engineering to support medical guardrails, escalation pathways, and clinical logic into platform workflows.
Stay current on therapeutic landscape developments, treatment guidelines, and medical communication best practices relevant to the platform's use cases.
Regulatory and Compliance Guidance
Own the regulatory strategy for how the platform operates within pharma customer environments, including MLR review processes, adverse event reporting obligations, and privacy requirements.
Guide internal teams and pharma customers on regulatory requirements across FDA, EMA, and other relevant jurisdictions as they apply to AI-enabled patient and HCP engagement.
Serve as the primary point of contact for customer medical, safety, legal, and regulatory stakeholders during sales and deployment conversations.
Partner with legal and compliance teams to ensure platform workflows meet HIPAA, GDPR, and industry-specific data governance standards.
Enterprise Sales and Deployment Support
Provide medical and regulatory credibility during enterprise sales conversations, RFP responses, and executive workshops with pharma customers.
Help Sales navigate MLR, pharmacovigilance, legal, compliance, and governance review processes within prospective and existing accounts.
Develop materials and frameworks that demonstrate the platform's regulatory readiness, safety architecture, and medical rigor to customer stakeholders.
Offer strategic oversight during early deployments to ensure medical accuracy, safety protocols, and compliance guardrails are properly configured and validated.
Scaling and Knowledge Development
Translate learnings from customer engagements and pilot deployments into repeatable regulatory and medical affairs playbooks.
Develop and publish thought leadership on AI in pharma commercialization — including perspectives on commercial model transformation, patient services evolution, and the strategic implications of agentic AI for pharma operating models.
Build internal knowledge bases covering AE reporting workflows, MLR requirements, non-promotional standards, and therapeutic areas–specific regulatory considerations.
Identify emerging regulatory trends in AI-enabled healthcare and patient engagement, and advise leadership on their implications for product and go-to-market strategy.
Qualifications
Required
7–15 years of experience in regulatory operations regulatory affairs, within pharma, biotech, or life sciences services organizations.
Deep working knowledge of MLR review processes, non-promotional communication standards, and medical information operations and adverse event reporting, pharmacovigilance regulations,
Strong understanding of FDA and EMA regulatory frameworks as they apply to patient engagement, medical communications, and digital health technologies.
Demonstrated ability to engage credibly with VP, SVP, and C-suite stakeholders across medical, regulatory, legal, and compliance functions at pharma organizations.
Experience translating regulatory and medical requirements into operational workflows, product requirements, or technology specifications.
Comfort working in high-growth environments with limited structure and high expectations for ownership and cross-functional collaboration.
Exceptional written and verbal communication skills.
Preferred
Experience with digital health platforms, AI in healthcare, or patient engagement technologies.
Familiarity with HIPAA, GDPR, and data privacy frameworks in the context of patient-facing technology.
Prior experience supporting enterprise sales or technology deployments into large pharma organizations from a medical or regulatory perspective.
MD, PharmD, PhD, or advanced scientific degree strongly preferred. MBA, MPH, or MS also valued.
Startup or early-stage company experience.
What We're Looking For
A regulatory leader who can establish Hippocratic AI as a trusted, compliant platform in the eyes of pharma's most rigorous stakeholders. A hands-on operator who builds frameworks and processes rather than waiting for them to exist. A customer-facing expert who gives pharma executives confidence that the platform meets the highest standards for safety, accuracy, and regulatory compliance. A strategic thinker who understands that regulatory credibility is a competitive advantage and a prerequisite for scaling in life sciences. A builder who wants to define how AI-enabled patient engagement is governed during a transformative period in the industry.
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.
Hippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.
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.
","descriptionPlain":"ROLE SUMMARY\n\nThe Head of Regulatory is responsible for ensuring Hippocratic AI's life sciences platform meets the scientific, medical, and regulatory standards required to operate within life science environments. You will serve as the company's authoritative voice on Regulatory Review cycle management, regulatory tracking and compliance, regulatory review including non-promotional engagement standards — working at the intersection of product, customer deployments, and external stakeholders.\n\nYou will guide how the platform handles MLR review processes, and regulatory requirements across therapeutic areas and geographies. You will also support enterprise sales and deployment conversations where medical credibility and regulatory confidence are critical to closing and scaling accounts.\n\nYou will report to the SVP of Medical Affairs, and work closely with the President of Life Sciences, Chief Commercial Officer, Sales, Customer Success, Product, and Engineering leadership.\n\n\n\nKey Responsibilities\n\nRegulatory Strategy and Oversight\n\n - Define and maintain Regulatory standards that govern the platform's patient-facing and HCP-facing interactions.\n\n - Establish labelling operations frameworks for l delivery, ensuring responses are accurate, evidence-based, and aligned with approved labeling and non-promotional requirements.\n\n - Advise on the regulatory requirements to ensure platform's compliant handling of medical inquiries, off-label questions, and clinical content across therapeutic areas.\n\n - Creative thinker who brings original ideas to the table and can partner with the product team to architect purpose-built AI agents for medical affairs workflows\n\n - Partner with Product and Engineering to support medical guardrails, escalation pathways, and clinical logic into platform workflows.\n\n - Stay current on therapeutic landscape developments, treatment guidelines, and medical communication best practices relevant to the platform's use cases.\n\nRegulatory and Compliance Guidance\n\n - Own the regulatory strategy for how the platform operates within pharma customer environments, including MLR review processes, adverse event reporting obligations, and privacy requirements.\n\n - Guide internal teams and pharma customers on regulatory requirements across FDA, EMA, and other relevant jurisdictions as they apply to AI-enabled patient and HCP engagement.\n\n - Serve as the primary point of contact for customer medical, safety, legal, and regulatory stakeholders during sales and deployment conversations.\n\n - Partner with legal and compliance teams to ensure platform workflows meet HIPAA, GDPR, and industry-specific data governance standards.\n\nEnterprise Sales and Deployment Support\n\n - Provide medical and regulatory credibility during enterprise sales conversations, RFP responses, and executive workshops with pharma customers.\n\n - Help Sales navigate MLR, pharmacovigilance, legal, compliance, and governance review processes within prospective and existing accounts.\n\n - Develop materials and frameworks that demonstrate the platform's regulatory readiness, safety architecture, and medical rigor to customer stakeholders.\n\n - Offer strategic oversight during early deployments to ensure medical accuracy, safety protocols, and compliance guardrails are properly configured and validated.\n\nScaling and Knowledge Development\n\n - Translate learnings from customer engagements and pilot deployments into repeatable regulatory and medical affairs playbooks.\n\n - Develop and publish thought leadership on AI in pharma commercialization — including perspectives on commercial model transformation, patient services evolution, and the strategic implications of agentic AI for pharma operating models.\n\n - Build internal knowledge bases covering AE reporting workflows, MLR requirements, non-promotional standards, and therapeutic areas–specific regulatory considerations.\n\n - Identify emerging regulatory trends in AI-enabled healthcare and patient engagement, and advise leadership on their implications for product and go-to-market strategy.\n\n\n\nQualifications\n\nRequired\n\n - 7–15 years of experience in regulatory operations regulatory affairs, within pharma, biotech, or life sciences services organizations.\n\n - Deep working knowledge of MLR review processes, non-promotional communication standards, and medical information operations and adverse event reporting, pharmacovigilance regulations,\n\n - Strong understanding of FDA and EMA regulatory frameworks as they apply to patient engagement, medical communications, and digital health technologies.\n\n - Demonstrated ability to engage credibly with VP, SVP, and C-suite stakeholders across medical, regulatory, legal, and compliance functions at pharma organizations.\n\n - Experience translating regulatory and medical requirements into operational workflows, product requirements, or technology specifications.\n\n - Comfort working in high-growth environments with limited structure and high expectations for ownership and cross-functional collaboration.\n\n - Exceptional written and verbal communication skills.\n\nPreferred\n\n - Experience with digital health platforms, AI in healthcare, or patient engagement technologies.\n\n - Familiarity with HIPAA, GDPR, and data privacy frameworks in the context of patient-facing technology.\n\n - Prior experience supporting enterprise sales or technology deployments into large pharma organizations from a medical or regulatory perspective.\n\n - MD, PharmD, PhD, or advanced scientific degree strongly preferred. MBA, MPH, or MS also valued.\n\n - Startup or early-stage company experience.\n\n\n\nWhat We're Looking For\n\nA regulatory leader who can establish Hippocratic AI as a trusted, compliant platform in the eyes of pharma's most rigorous stakeholders. A hands-on operator who builds frameworks and processes rather than waiting for them to exist. A customer-facing expert who gives pharma executives confidence that the platform meets the highest standards for safety, accuracy, and regulatory compliance. A strategic thinker who understands that regulatory credibility is a competitive advantage and a prerequisite for scaling in life sciences. A builder who wants to define how AI-enabled patient engagement is governed during a transformative period in the industry.\n\n\nWHY JOIN HIPPOCRATIC AI\n\nReinvent 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.\n\nWork 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.\n\nBacked 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.\n\nBuild 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.\n\n\nEQUAL OPPORTUNITY\n\nHippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.\n\nPlease be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com http://hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process."},{"id":"9695108a-81b0-49e0-989c-8a01eb96aa50","title":"Director, Events Strategy","department":"Sales & Marketing","team":"Marketing","employmentType":"FullTime","location":"United States","secondaryLocations":[],"publishedAt":"2026-09-18T23:16:32.369+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/9695108a-81b0-49e0-989c-8a01eb96aa50","applyUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/9695108a-81b0-49e0-989c-8a01eb96aa50/application","descriptionHtml":"Hippocratic AI is seeking a Director, Events Strategy & Experiences to build an experience-led events function that drives measurable business growth. You will set the vision for how events support account-based marketing, deepen customer and executive relationships, and contribute to pipeline.
This role combines strategic leadership, creative experience design, and operational command. You will lead a lean team and use AI agents and automation to expand the reach, personalization, and impact of our programs—from national conferences and trade shows to executive dinners and Customer Advisory Boards. Importantly you will proactively manage a strategic events calendar, securing key market moments and sponsorships that build Hippocratic AI’s brand and clinical credibility with our ICP.
Set the event strategy. Define how events drive business outcomes at Hippocratic AI. Build an integrated event marketing strategy and calendar aligned with sales, partner, and segment priorities.
Elevate experience design. Create differentiated clinical-AI experiences that go beyond traditional formats. Set the standard for premium experiences at flagship and Tier 1 events.
Own business impact. Align programs to pipeline goals in partnership with Product, Sales, Customer Success, partners, and segment leaders. Own measurement of sourced and influenced pipeline, cost per qualified meeting, and event ROI.
Build a scalable ABM approach. Use AI account scoring, buying-group mapping, and account-specific content to personalize targeting, engagement, and follow-up.
Lead the team and portfolio. Coach a lean team across strategy, experience design, and execution. Oversee national conferences, trade shows, roundtables, executive dinners, and Customer Advisory Boards.
Scale through AI and automation. Deploy agents and workflows for invitations, briefing books, personalized agendas, CAB synthesis, recaps, and next-best-action follow-up.
Extend the value of every event. Turn sessions and conversations into reusable content and actionable insights that support ongoing account engagement.
Deliver with precision. Manage budgets, vendors, and logistics while maintaining high standards for execution under real deadlines.
Ensure executive leaders and teams attending are fully briefed with a Run of Show, confidently understand expectations of attending a conference for improved ROI (e.g. set # of meetings and tracked in HubSpot).
Manage spend and attendance for effective use of teams and resources.
This is a United States-based role open to candidates across multiple markets. We welcome applications from candidates located throughout the U.S. Specific placement, travel expectations, and regional alignment will be determined during the hiring process based on customer proximity, deployment portfolio needs, and your location. You should expect regular travel, typically 25 to 40%.
10+ years of experience leading event or experiential marketing at a strategic level, with ownership of program direction and business outcomes.
Bachelor’s degree required.
A track record of designing and delivering differentiated, high-impact client and executive experiences.
Strong commercial acumen, with demonstrated success connecting events to pipeline, revenue, and other measurable business outcomes.
B2B marketing experience in SaaS, healthcare, professional services, or technology.
Hands-on experience building AI agents and automations for targeting, personalization, synthesis, and follow-up.
Executive presence and the ability to serve as a credible thought partner to marketing, sales, and clinical leadership.
Experience leading and developing a lean team across strategy and execution.
Collaboratively partnering with all teams in Marketing to help ensure market moments are leveraged to their fullest potential for product launches, brand moments, and lead gen with ICP.
Strong command of vendor management, budgets, and event logistics.
Evidence of expanding event capacity and improving follow-through without proportional growth in headcount.
Ability to work remotely and travel frequently for events and experiences.
Experience supporting partner co-sell motions.
Your programs deliver distinctive experiences and measurable pipeline impact. Sales, partners, and marketing operate against shared event goals, with clear measurement and consistent follow-through. Your team uses AI and automation to personalize engagement, expand capacity, and turn each event into lasting value for customers and the business.
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.
Hippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.
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.
","descriptionPlain":"ABOUT THE ROLE\n\nHippocratic AI is seeking a Director, Events Strategy & Experiences to build an experience-led events function that drives measurable business growth. You will set the vision for how events support account-based marketing, deepen customer and executive relationships, and contribute to pipeline.\n\nThis role combines strategic leadership, creative experience design, and operational command. You will lead a lean team and use AI agents and automation to expand the reach, personalization, and impact of our programs—from national conferences and trade shows to executive dinners and Customer Advisory Boards. Importantly you will proactively manage a strategic events calendar, securing key market moments and sponsorships that build Hippocratic AI’s brand and clinical credibility with our ICP.\n\n\nWHAT YOU’LL DO\n\n - Set the event strategy. Define how events drive business outcomes at Hippocratic AI. Build an integrated event marketing strategy and calendar aligned with sales, partner, and segment priorities.\n\n - Elevate experience design. Create differentiated clinical-AI experiences that go beyond traditional formats. Set the standard for premium experiences at flagship and Tier 1 events.\n\n - Own business impact. Align programs to pipeline goals in partnership with Product, Sales, Customer Success, partners, and segment leaders. Own measurement of sourced and influenced pipeline, cost per qualified meeting, and event ROI.\n\n - Build a scalable ABM approach. Use AI account scoring, buying-group mapping, and account-specific content to personalize targeting, engagement, and follow-up.\n\n - Lead the team and portfolio. Coach a lean team across strategy, experience design, and execution. Oversee national conferences, trade shows, roundtables, executive dinners, and Customer Advisory Boards.\n\n - Scale through AI and automation. Deploy agents and workflows for invitations, briefing books, personalized agendas, CAB synthesis, recaps, and next-best-action follow-up.\n\n - Extend the value of every event. Turn sessions and conversations into reusable content and actionable insights that support ongoing account engagement.\n\n - Deliver with precision. Manage budgets, vendors, and logistics while maintaining high standards for execution under real deadlines.\n\n - Ensure executive leaders and teams attending are fully briefed with a Run of Show, confidently understand expectations of attending a conference for improved ROI (e.g. set # of meetings and tracked in HubSpot).\n\n - Manage spend and attendance for effective use of teams and resources.\n\n\nLOCATION AND TRAVEL\n\nThis is a United States-based role open to candidates across multiple markets. We welcome applications from candidates located throughout the U.S. Specific placement, travel expectations, and regional alignment will be determined during the hiring process based on customer proximity, deployment portfolio needs, and your location. You should expect regular travel, typically 25 to 40%.\n\n\nWHAT YOU’LL BRING\n\n\nREQUIRED\n\n - 10+ years of experience leading event or experiential marketing at a strategic level, with ownership of program direction and business outcomes.\n\n - Bachelor’s degree required.\n\n - A track record of designing and delivering differentiated, high-impact client and executive experiences.\n\n - Strong commercial acumen, with demonstrated success connecting events to pipeline, revenue, and other measurable business outcomes.\n\n - B2B marketing experience in SaaS, healthcare, professional services, or technology.\n\n - Hands-on experience building AI agents and automations for targeting, personalization, synthesis, and follow-up.\n\n - Executive presence and the ability to serve as a credible thought partner to marketing, sales, and clinical leadership.\n\n - Experience leading and developing a lean team across strategy and execution.\n\n - Collaboratively partnering with all teams in Marketing to help ensure market moments are leveraged to their fullest potential for product launches, brand moments, and lead gen with ICP.\n\n - Strong command of vendor management, budgets, and event logistics.\n\n - Evidence of expanding event capacity and improving follow-through without proportional growth in headcount.\n\n - Ability to work remotely and travel frequently for events and experiences.\n\n\nPREFERRED:\n\n - Experience supporting partner co-sell motions.\n\n\nWHAT SUCCESS LOOKS LIKE\n\nYour programs deliver distinctive experiences and measurable pipeline impact. Sales, partners, and marketing operate against shared event goals, with clear measurement and consistent follow-through. Your team uses AI and automation to personalize engagement, expand capacity, and turn each event into lasting value for customers and the business.\n\n\n\n\nWHY JOIN HIPPOCRATIC AI\n\nReinvent 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.\n\nWork 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.\n\nBacked 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.\n\nBuild 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.\n\n\nEQUAL OPPORTUNITY\n\nHippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.\n\nPlease be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com http://hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process."},{"id":"805c4e98-ca2c-4a17-a08a-ee01c4776a8c","title":"Director, Product Marketing","department":"Sales & Marketing","team":"Marketing","employmentType":"FullTime","location":"Menlo Park, CA","secondaryLocations":[],"publishedAt":"2026-09-29T21:13:53.837+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Menlo Park"}},"jobUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/805c4e98-ca2c-4a17-a08a-ee01c4776a8c","applyUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/805c4e98-ca2c-4a17-a08a-ee01c4776a8c/application","descriptionHtml":"Hippocratic AI is seeking a Director, Product Marketing to own positioning, messaging, and go-to-market strategy for enterprise-grade agentic AI. You will translate complex technology into clear business value for healthcare buyers and customers, helping them understand how clinical safety, ambient automation, and workflow orchestration support their goals.
You will connect Product, Sales, and Customer Success around compelling value narratives and coordinated GTM launches. This is a hands-on role for an exceptional writer and technically fluent marketer who uses AI to expand output, mine for insights across a number of tools (like Gong, databases, and dashboards) while maintaining rigorous editorial judgment, subject matter validation, and brand standards.
Define competitive positioning and core messaging for agentic AI platforms, with clear narratives around clinical safety, automation, and ROI.
Translate multi-agent systems, retrieval-augmented generation (RAG), and deterministic guardrails into value-driven stories for healthcare decision-makers.
Build and maintain buyer and user personas spanning CMOs, CIOs, COOs, clinical teams, and administrative teams. Refresh those personas using live customer calls, CRM insights, and win/loss findings.
Lead end-to-end launches for new agentic modules, features, and platform updates, aligning Product, Sales, and Customer Success on messaging, readiness, enablement, training, and execution.
Produce white papers, case studies, ROI calculators, clinical validation summaries, and interactive product videos.
Build content workflows that combine AI-assisted drafting with subject matter expert validation, editorial review, and brand governance.
Equip enterprise sales and technical field teams with pitch decks, competitive intelligence, video demos, and objection-handling resources for complex sales cycles.
Enables customer success teams to help customers understand the value of their current products as well as new releases to help nurture adoption.
Monitor the healthcare AI landscape and market dynamics, including foundation models, point solutions, and established vendors. Use research agents to turn emerging developments into actionable insights within days.
Partner with Legal and Compliance to ensure messaging accurately represents HIPAA requirements, SOC 2 controls, clinical claims, and algorithmic safety standards.
Use feedback from customer conversations and field teams to continually improve positioning, content, and enablement.
This is a Menlo Park–based role expected to be in office five days a week to support fast collaboration and alignment across cross-functional teams.
8+ years of B2B SaaS product marketing experience, including 3+ years marketing AI or clinical platforms to health system, payor, or life sciences buyers.
Fluency in agentic AI architecture, including multi-agent systems, RAG, guardrails, and evaluations, with the ability to explain these concepts independently and accurately.
Hands-on experience using AI to scale marketing output, with concrete examples of the prompts, agents, and quality assurance processes behind your work.
Exceptional writing and editing skills, including the judgment to recognize when human insight and narrative should override model-generated output.
Experience marketing under HIPAA requirements, SOC 2 frameworks, and clinical-claims review processes.
The ability to align cross-functional partners and turn technical capabilities into compelling positioning, launch plans, and sales resources.
Analytically minded: leveraging data to ensure internal teams are effectively leveraging product marketing assets, joining trainings, and accurately portraying the value of Hippocratic AI’s value to customers and the market.
Experience working cross-functionally with Product, Sales, and Customer Success, minimum of 4 years experience.
Post-graduate degree
Healthcare buyers understand what differentiates the platform and why it matters to their organizations. Product launches are coordinated, and sales teams have clear, credible resources for complex buying conversations.
Messaging evolves with customer and market evidence. AI enables faster research and greater content output, while human judgment, subject matter expertise, and disciplined review maintain accuracy and quality.
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.
Hippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.
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.
","descriptionPlain":"ABOUT THE ROLE\n\nHippocratic AI is seeking a Director, Product Marketing to own positioning, messaging, and go-to-market strategy for enterprise-grade agentic AI. You will translate complex technology into clear business value for healthcare buyers and customers, helping them understand how clinical safety, ambient automation, and workflow orchestration support their goals.\n\nYou will connect Product, Sales, and Customer Success around compelling value narratives and coordinated GTM launches. This is a hands-on role for an exceptional writer and technically fluent marketer who uses AI to expand output, mine for insights across a number of tools (like Gong, databases, and dashboards) while maintaining rigorous editorial judgment, subject matter validation, and brand standards.\n\n\nWHAT YOU’LL DO\n\n\nPOSITIONING AND MESSAGING\n\n - Define competitive positioning and core messaging for agentic AI platforms, with clear narratives around clinical safety, automation, and ROI.\n\n - Translate multi-agent systems, retrieval-augmented generation (RAG), and deterministic guardrails into value-driven stories for healthcare decision-makers.\n\n - Build and maintain buyer and user personas spanning CMOs, CIOs, COOs, clinical teams, and administrative teams. Refresh those personas using live customer calls, CRM insights, and win/loss findings.\n\n\nGO-TO-MARKET STRATEGY AND LAUNCHES\n\n - Lead end-to-end launches for new agentic modules, features, and platform updates, aligning Product, Sales, and Customer Success on messaging, readiness, enablement, training, and execution.\n\n - Produce white papers, case studies, ROI calculators, clinical validation summaries, and interactive product videos.\n\n - Build content workflows that combine AI-assisted drafting with subject matter expert validation, editorial review, and brand governance.\n\n\nSALES ENABLEMENT, CUSTOMER SUCCESS AND MARKET INTELLIGENCE\n\n - Equip enterprise sales and technical field teams with pitch decks, competitive intelligence, video demos, and objection-handling resources for complex sales cycles.\n\n - Enables customer success teams to help customers understand the value of their current products as well as new releases to help nurture adoption.\n\n - Monitor the healthcare AI landscape and market dynamics, including foundation models, point solutions, and established vendors. Use research agents to turn emerging developments into actionable insights within days.\n\n - Partner with Legal and Compliance to ensure messaging accurately represents HIPAA requirements, SOC 2 controls, clinical claims, and algorithmic safety standards.\n\n - Use feedback from customer conversations and field teams to continually improve positioning, content, and enablement.\n\n\nLOCATION\n\nThis is a Menlo Park–based role expected to be in office five days a week to support fast collaboration and alignment across cross-functional teams.\n\n\nWHAT YOU’LL BRING\n\n\nREQUIRED\n\n - 8+ years of B2B SaaS product marketing experience, including 3+ years marketing AI or clinical platforms to health system, payor, or life sciences buyers.\n\n - Fluency in agentic AI architecture, including multi-agent systems, RAG, guardrails, and evaluations, with the ability to explain these concepts independently and accurately.\n\n - Hands-on experience using AI to scale marketing output, with concrete examples of the prompts, agents, and quality assurance processes behind your work.\n\n - Exceptional writing and editing skills, including the judgment to recognize when human insight and narrative should override model-generated output.\n\n - Experience marketing under HIPAA requirements, SOC 2 frameworks, and clinical-claims review processes.\n\n - The ability to align cross-functional partners and turn technical capabilities into compelling positioning, launch plans, and sales resources.\n\n - Analytically minded: leveraging data to ensure internal teams are effectively leveraging product marketing assets, joining trainings, and accurately portraying the value of Hippocratic AI’s value to customers and the market.\n\n - Experience working cross-functionally with Product, Sales, and Customer Success, minimum of 4 years experience.\n\n\nPREFERRED\n\n - Post-graduate degree\n\n\nWHAT SUCCESS LOOKS LIKE\n\nHealthcare buyers understand what differentiates the platform and why it matters to their organizations. Product launches are coordinated, and sales teams have clear, credible resources for complex buying conversations.\n\nMessaging evolves with customer and market evidence. AI enables faster research and greater content output, while human judgment, subject matter expertise, and disciplined review maintain accuracy and quality.\n\n\nWHY JOIN HIPPOCRATIC AI\n\nReinvent 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.\n\nWork 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.\n\nBacked 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.\n\nBuild 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.\n\n\nEQUAL OPPORTUNITY\n\nHippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.\n\nPlease be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com http://hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process."},{"id":"02f55f3f-b75a-4a57-83b9-467e9cdec574","title":"Senior Director, Digital Marketing","department":"Sales & Marketing","team":"Marketing","employmentType":"FullTime","location":"Menlo Park, CA","secondaryLocations":[],"publishedAt":"2026-10-16T22:16:44.594+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Menlo Park"}},"jobUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/02f55f3f-b75a-4a57-83b9-467e9cdec574","applyUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/02f55f3f-b75a-4a57-83b9-467e9cdec574/application","descriptionHtml":"Hippocratic AI is seeking a Sr. Director, Digital Growth Marketing & Marketing Operations to lead our enterprise growth engine across demand generation, marketing technology, and measurement.
You will build and optimize digital programs that reach healthcare buying committees, generate qualified pipeline, and accelerate complex enterprise sales cycles. You will also own the systems and data that connect marketing activity to revenue, giving teams reliable insights and clear accountability for results.
This role requires a commercially minded leader who combines performance marketing expertise with deep operational fluency. You know how to apply AI to improve targeting, creative development, and reporting—and how to measure whether it delivers value.
Lead enterprise ABM and digital acquisition. Design, execute, and optimize multichannel programs across paid channels, programmatic, and display, targeting priority accounts across enterprise health systems.
Own the global pipeline target. Build high-intent digital strategies that capture demand from CIOs, CMOs, and COOs for payors, providers, life sciences and procurement boards. Partner with sales to move engaged accounts through the buying process.
Improve conversion. Lead website and content optimization, creating clear conversion paths for clinical AI white papers, ROI calculators, and security and compliance reports.
Drive continuous optimization. Test audiences, messaging, creative, and landing pages, using results to improve conversion quality and pipeline contribution.
Own the MarTech ecosystem. Architect, integrate, and manage the marketing technology stack, ensuring accurate, reliable data synchronization with the enterprise CRM and data warehouse.
Govern lead-to-revenue processes. Design and maintain lead scoring, routing, and lifecycle models that support timely, consistent handoffs to SDR and field teams.
Maintain trusted marketing data. Establish processes for enrichment, data quality, and reporting so marketing and sales can act on a consistent view of account and funnel performance.
Support compliance and data privacy. Partner with rev ops, legal, security, and compliance teams to ensure digital tracking and data collection meet applicable HIPAA and GDPR requirements, support SOC 2 controls, and follow healthcare communication standards.
Build revenue attribution. Establish and maintain multichannel, multi-touch attribution that measures digital marketing’s contribution across long, complex healthcare sales cycles.
Translate performance into commercial insights. Deliver weekly and monthly executive readouts on customer acquisition cost, lifetime value-to-CAC ratios, pipeline velocity, and return on ad spend.
Allocate budget for business impact. Direct investment toward channels and programs that produce qualified pipeline and revenue, using performance data to guide spending decisions.
Apply AI with purpose. Use intent signals and predictive models to prioritize accounts, generate and test creative and landing-page variants, and automate routing, enrichment, and reporting.
This is a Menlo Park–based role expected to be in office five days a week to support fast collaboration and alignment across cross-functional teams.
Must Haves
8+ years of experience leading growth marketing and marketing operations in B2B, ideally in healthcare or regulated enterprise software.
4 + experience placing digital ads on sites like LinkedIn, Google, etc. with a proven ability to optimize spend, lowering CPL, and shifting budget across channels to deliver qualified leads to Sales.
Bachelor’s degree is required.
Practical AI fluency, including experience using LLMs, APIs, and predictive models to improve targeting, creative velocity, and reporting.
The ability to communicate complex performance insights clearly to executives and turn those insights into investment and operating decisions.
Deep ownership of marketing technology and CRM systems, including HubSpot or an equivalent platform, WordPress, email automation, Google Analytics, Google Search Console, with experience integrating web properties and data warehouses.
A proven track record of building ABM and demand generation programs for health system, payor, or clinical network buying committees.
Strong command of digital acquisition, conversion optimization, lead management, and revenue attribution.
The ability to connect channel performance and marketing investment to pipeline, revenue, and customer acquisition economics.
Partners closely with all teams in Marketing, Rev Ops, Sales, and Customer Success, performing with a one team approach to winning market share for Hippocratic AI.
Analytically minded and has experience building Marketing Dashboards in Hubspot to prove the impact of Marketing campaigns.
Preferred
Post Graduate Degree
Marketing generates qualified enterprise pipeline with a clear connection between investment and business results. Priority accounts receive relevant, coordinated digital engagement, and SDR and field teams receive timely, well-qualified handoffs.
The MarTech ecosystem produces reliable data, attribution supports sound budget decisions, and executive reporting makes performance clear. AI improves the speed and effectiveness of the work, with measurable gains in targeting, experimentation, and operational efficiency.
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.
Hippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.
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.
","descriptionPlain":"ABOUT THE ROLE\n\nHippocratic AI is seeking a Sr. Director, Digital Growth Marketing & Marketing Operations to lead our enterprise growth engine across demand generation, marketing technology, and measurement.\n\nYou will build and optimize digital programs that reach healthcare buying committees, generate qualified pipeline, and accelerate complex enterprise sales cycles. You will also own the systems and data that connect marketing activity to revenue, giving teams reliable insights and clear accountability for results.\n\nThis role requires a commercially minded leader who combines performance marketing expertise with deep operational fluency. You know how to apply AI to improve targeting, creative development, and reporting—and how to measure whether it delivers value.\n\n\nWHAT YOU’LL DO\n\n\nPERFORMANCE MARKETING AND DEMAND GENERATION\n\n - Lead enterprise ABM and digital acquisition. Design, execute, and optimize multichannel programs across paid channels, programmatic, and display, targeting priority accounts across enterprise health systems.\n\n - Own the global pipeline target. Build high-intent digital strategies that capture demand from CIOs, CMOs, and COOs for payors, providers, life sciences and procurement boards. Partner with sales to move engaged accounts through the buying process.\n\n - Improve conversion. Lead website and content optimization, creating clear conversion paths for clinical AI white papers, ROI calculators, and security and compliance reports.\n\n - Drive continuous optimization. Test audiences, messaging, creative, and landing pages, using results to improve conversion quality and pipeline contribution.\n\n\nMARKETING OPERATIONS AND DATA ARCHITECTURE\n\n - Own the MarTech ecosystem. Architect, integrate, and manage the marketing technology stack, ensuring accurate, reliable data synchronization with the enterprise CRM and data warehouse.\n\n - Govern lead-to-revenue processes. Design and maintain lead scoring, routing, and lifecycle models that support timely, consistent handoffs to SDR and field teams.\n\n - Maintain trusted marketing data. Establish processes for enrichment, data quality, and reporting so marketing and sales can act on a consistent view of account and funnel performance.\n\n - Support compliance and data privacy. Partner with rev ops, legal, security, and compliance teams to ensure digital tracking and data collection meet applicable HIPAA and GDPR requirements, support SOC 2 controls, and follow healthcare communication standards.\n\n\nMEASUREMENT, ANALYTICS, AND BUDGET STRATEGY\n\n - Build revenue attribution. Establish and maintain multichannel, multi-touch attribution that measures digital marketing’s contribution across long, complex healthcare sales cycles.\n\n - Translate performance into commercial insights. Deliver weekly and monthly executive readouts on customer acquisition cost, lifetime value-to-CAC ratios, pipeline velocity, and return on ad spend.\n\n - Allocate budget for business impact. Direct investment toward channels and programs that produce qualified pipeline and revenue, using performance data to guide spending decisions.\n\n - Apply AI with purpose. Use intent signals and predictive models to prioritize accounts, generate and test creative and landing-page variants, and automate routing, enrichment, and reporting.\n\n\nLOCATION\n\nThis is a Menlo Park–based role expected to be in office five days a week to support fast collaboration and alignment across cross-functional teams.\n\n\n\n\nWHAT YOU’LL BRING\n\nMust Haves\n\n - 8+ years of experience leading growth marketing and marketing operations in B2B, ideally in healthcare or regulated enterprise software.\n\n - 4 + experience placing digital ads on sites like LinkedIn, Google, etc. with a proven ability to optimize spend, lowering CPL, and shifting budget across channels to deliver qualified leads to Sales.\n\n - Bachelor’s degree is required.\n\n - Practical AI fluency, including experience using LLMs, APIs, and predictive models to improve targeting, creative velocity, and reporting.\n\n - The ability to communicate complex performance insights clearly to executives and turn those insights into investment and operating decisions.\n\n - Deep ownership of marketing technology and CRM systems, including HubSpot or an equivalent platform, WordPress, email automation, Google Analytics, Google Search Console, with experience integrating web properties and data warehouses.\n\n - A proven track record of building ABM and demand generation programs for health system, payor, or clinical network buying committees.\n\n - Strong command of digital acquisition, conversion optimization, lead management, and revenue attribution.\n\n - The ability to connect channel performance and marketing investment to pipeline, revenue, and customer acquisition economics.\n\n - Partners closely with all teams in Marketing, Rev Ops, Sales, and Customer Success, performing with a one team approach to winning market share for Hippocratic AI.\n\n - Analytically minded and has experience building Marketing Dashboards in Hubspot to prove the impact of Marketing campaigns.\n\nPreferred\n\n - Post Graduate Degree\n\n\n\n\nWHAT SUCCESS LOOKS LIKE\n\nMarketing generates qualified enterprise pipeline with a clear connection between investment and business results. Priority accounts receive relevant, coordinated digital engagement, and SDR and field teams receive timely, well-qualified handoffs.\n\nThe MarTech ecosystem produces reliable data, attribution supports sound budget decisions, and executive reporting makes performance clear. AI improves the speed and effectiveness of the work, with measurable gains in targeting, experimentation, and operational efficiency.\n\n\nWHY JOIN HIPPOCRATIC AI\n\nReinvent 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.\n\nWork 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.\n\nBacked 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.\n\nBuild 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.\n\n\nEQUAL OPPORTUNITY\n\nHippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.\n\nPlease be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com http://hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process."},{"id":"4ddb6498-74b0-4fca-937a-9bff34623ba6","title":"VP, Health Plan Partnerships","department":"Sales & Marketing","team":"Sales","employmentType":"FullTime","location":"United States","secondaryLocations":[],"publishedAt":"2026-06-05T19:39:04.424+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/4ddb6498-74b0-4fca-937a-9bff34623ba6","applyUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/4ddb6498-74b0-4fca-937a-9bff34623ba6/application","descriptionHtml":"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 are seeking a VP of Health Plan Partnerships to grow revenue and strategic footprint within our existing payer partners. You will own post-land expansion strategy, uncover new use cases, and drive adoption across additional lines of business, regions, and member populations.
This role is ideal for a senior commercial leader who excels at developing deep, multi-threaded executive relationships, turning early wins into scaled deployments, and navigating complex internal dynamics to expand payer partnerships over time.
You’ll work closely with clinical, product, implementation, and executive teams to ensure measurable value delivery, then translate that value into renewal and upsell momentum. This is a high-ownership role in an early-stage environment where you’ll shape how Hippocratic AI scales inside payer accounts.
Own expansion revenue across existing health plan partners, including renewals, upsells, cross-sells, and multi-year growth plans.
Develop and execute executive-level account expansion strategies that map stakeholders, identify whitespace, and prioritize growth pathways (e.g., new geographies, product modules, member segments, or operational teams).
Identify, qualify, and close expansion opportunities by translating payer pain points into new AI-enabled programs with measurable ROI.
Build deep, trusted relationships across clinical, operational, digital, innovation, finance, and C-suite sponsor layers within payer organizations.
Lead complex internal sales cycles inside customers, coordinating security, compliance, contracting, procurement, and clinical governance for incremental deals.
Partner cross-functionally with product, clinical, customer success, and implementation teams to ensure strong value realization, reference ability, and scalable rollouts.
Maintain accurate forecasting and expansion pipeline reporting, proactively identifying risk and opportunity.
Serve as the voice of the customer to inform partnerships strategy, product roadmap, and market positioning aligned to payer needs.
Represent Hippocratic AI in executive QBRs, steering committees, and payer ecosystem events.
Must-have:
10-15 years of experience selling into health plans, with a strong record of exceeding expansion/renewal or account growth targets.
Proven success expanding enterprise payer accounts, including multi-threading, selling new use cases, and growing contract value over time.
Executive presence and credibility with the ability to influence and align clinical, operational, digital, and C-suite stakeholders.
Experience managing sophisticated contracting and procurement processes, including amendments, renewals, and incremental SOWs.
Strong consultative selling approach, able to quantify value, build business cases, and tie outcomes to payer priorities.
Highly autonomous, proactive, and outcomes-driven, thriving in fast-moving, ambiguous environments.
Willingness to travel as needed (minimum of 30–50%, including onsite meetings, QBRs, and conferences).
Nice-to-Have:
Deep network within payer organizations and history of long-cycle relationship stewardship.
Experience expanding solutions across Medicare Advantage, Medicaid, Commercial, or dual-eligible populations.
Background in digital health, health tech, AI-enabled care models, or care management platforms.
Familiarity with payer clinical/operational workflows (care management, UM/CM, member engagement, risk adjustment, Stars/HEDIS, etc.).
Strong understanding of payer regulatory, compliance, and governance requirements for deploying AI in member-facing programs.
Experience partnering with customer success or implementation teams to drive value realization and scalable rollouts.
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.
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.
Hippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.
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.
","descriptionPlain":"ABOUT US\n\nHippocratic 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.\n\n\n\n\nWHY JOIN OUR TEAM\n\nReinvent 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.\n\nWork 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.\n\nBacked 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.\n\nBuild 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.\n\n\n\n\nABOUT THE ROLE\n\nWe are seeking a VP of Health Plan Partnerships to grow revenue and strategic footprint within our existing payer partners. You will own post-land expansion strategy, uncover new use cases, and drive adoption across additional lines of business, regions, and member populations.\n\nThis role is ideal for a senior commercial leader who excels at developing deep, multi-threaded executive relationships, turning early wins into scaled deployments, and navigating complex internal dynamics to expand payer partnerships over time.\n\nYou’ll work closely with clinical, product, implementation, and executive teams to ensure measurable value delivery, then translate that value into renewal and upsell momentum. This is a high-ownership role in an early-stage environment where you’ll shape how Hippocratic AI scales inside payer accounts.\n\n\n\n\nWHAT YOU'LL DO\n\n - Own expansion revenue across existing health plan partners, including renewals, upsells, cross-sells, and multi-year growth plans.\n\n - Develop and execute executive-level account expansion strategies that map stakeholders, identify whitespace, and prioritize growth pathways (e.g., new geographies, product modules, member segments, or operational teams).\n\n - Identify, qualify, and close expansion opportunities by translating payer pain points into new AI-enabled programs with measurable ROI.\n\n - Build deep, trusted relationships across clinical, operational, digital, innovation, finance, and C-suite sponsor layers within payer organizations.\n\n - Lead complex internal sales cycles inside customers, coordinating security, compliance, contracting, procurement, and clinical governance for incremental deals.\n\n - Partner cross-functionally with product, clinical, customer success, and implementation teams to ensure strong value realization, reference ability, and scalable rollouts.\n\n - Maintain accurate forecasting and expansion pipeline reporting, proactively identifying risk and opportunity.\n\n - Serve as the voice of the customer to inform partnerships strategy, product roadmap, and market positioning aligned to payer needs.\n\n - Represent Hippocratic AI in executive QBRs, steering committees, and payer ecosystem events.\n \n\n\nWHAT YOU BRING\n\nMust-have: \n\n - 10-15 years of experience selling into health plans, with a strong record of exceeding expansion/renewal or account growth targets.\n\n - Proven success expanding enterprise payer accounts, including multi-threading, selling new use cases, and growing contract value over time.\n\n - Executive presence and credibility with the ability to influence and align clinical, operational, digital, and C-suite stakeholders.\n\n - Experience managing sophisticated contracting and procurement processes, including amendments, renewals, and incremental SOWs.\n\n - Strong consultative selling approach, able to quantify value, build business cases, and tie outcomes to payer priorities.\n\n - Highly autonomous, proactive, and outcomes-driven, thriving in fast-moving, ambiguous environments.\n\n - Willingness to travel as needed (minimum of 30–50%, including onsite meetings, QBRs, and conferences).\n \n\nNice-to-Have:\n\n - Deep network within payer organizations and history of long-cycle relationship stewardship.\n\n - Experience expanding solutions across Medicare Advantage, Medicaid, Commercial, or dual-eligible populations.\n\n - Background in digital health, health tech, AI-enabled care models, or care management platforms.\n\n - Familiarity with payer clinical/operational workflows (care management, UM/CM, member engagement, risk adjustment, Stars/HEDIS, etc.).\n\n - Strong understanding of payer regulatory, compliance, and governance requirements for deploying AI in member-facing programs.\n\n - Experience partnering with customer success or implementation teams to drive value realization and scalable rollouts.\n \n\nPlease be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com http://hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process.\n\n\nWHY JOIN HIPPOCRATIC AI\n\nReinvent 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.\n\nWork 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.\n\nBacked 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.\n\nBuild 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.\n\n\nEQUAL OPPORTUNITY\n\nHippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.\n\nPlease be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com http://hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process."},{"id":"16bc4536-04ae-41c7-94f7-53b66b2572a3","title":"AI Engineer (Senior, Staff, Senior Staff, Principal)","department":"Research & Development","team":"Product Engineering","employmentType":"FullTime","location":"Menlo Park, CA","secondaryLocations":[],"publishedAt":"2026-08-24T14:46:50.088+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Menlo Park"}},"jobUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/16bc4536-04ae-41c7-94f7-53b66b2572a3","applyUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/16bc4536-04ae-41c7-94f7-53b66b2572a3/application","descriptionHtml":"As an AI Engineer at Hippocratic AI, you'll design and build the intelligent systems that power clinically safe healthcare agents at scale. You'll work at the intersection of large language models, real-time voice, and human-centered product design—translating cutting-edge research into production systems that patients and providers trust. This role exists because the gap between research and reliable production AI is where real innovation happens: your work directly determines whether advanced AI becomes a tool that transforms healthcare or remains a research project.
Own your first major outcome: By day 90, you will have shipped an end-to-end AI feature or system improvement (a new RAG pipeline, multi-agent workflow, or voice agent capability), validated it works reliably in production, and established the development patterns that the team will scale going forward.
Drive lasting impact: At 12 months, you will have built multiple production AI systems (RAG pipelines, multi-step reasoning workflows, real-time voice agent interactions), contributed architectural patterns that become standard across the team, improved our model evaluation and safety testing capabilities, and directly shaped how thousands of patient conversations are powered by our platform.
You'll work alongside AI researchers, product managers, clinical experts, and engineers who are obsessed with bringing safe, reliable AI into healthcare. This is a cross-functional team that values both innovation and rigor—people who love solving hard technical problems that have real patient impact, and who move fast without sacrificing safety or quality.
Design and build production-grade AI pipelines that power our voice-based generative healthcare agents—architecting RAG systems, multi-step reasoning workflows, and streaming interactions that scale reliably
Collaborate cross-functionally with product, clinical, and engineering teams to translate healthcare workflows into safe, scalable, and human-centered AI experiences—bringing together research capabilities and product intuition
Prototype and deploy zero-to-one features using state-of-the-art LLMs, retrieval systems, and streaming architectures—balancing rapid innovation with production reliability and clinical safety
Develop and refine AI-native workflows that support real-time, conversational, and long-running interactions across diverse healthcare contexts, ensuring systems handle edge cases and failure modes gracefully
Drive continuous improvement in model evaluation, safety testing, and observability—building the measurement and monitoring infrastructure that ensures every agent interaction meets clinical safety standards
Contribute to technical culture through documentation, knowledge sharing, and collaboration that elevates team capabilities and product quality
We believe the best ideas happen together. This role is based in our Menlo Park, California office, expected to be in office five days a week.
Compensation is based on experience, expertise, and level of responsibility. We offer competitive packages that reflect the seniority and scope of the role, along with equity, health insurance, and other benefits.
BS in Computer Science or equivalent
5+ years of professional experience in software, ML, or AI engineering.
Proven track record building and shipping AI- or ML-powered products in production environments.
Strong programming skills in Python with experience in distributed systems, APIs, and data pipelines.
Deep understanding of prompt engineering, vector databases, and retrieval systems (RAG), voice agents or willingness to learn rapidly.
Experience with cloud environments (AWS/GCP/Azure) and modern DevOps practices (Terraform, CI/CD, monitoring).
Experience building or deploying LLM-based or multi-agent systems at scale.
Hands-on work with speech recognition, text-to-speech, or streaming architectures for real-time AI experiences.
Prior exposure to healthcare, safety-critical domains, or regulated product development.
If you’re an AI engineer who thrives at the intersection of cutting-edge research and real-world product impact, we’d love to hear from you.
Join Hippocratic AI and help shape the future of clinically safe, voice-enabled AI systems that are already transforming patient care at scale.
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.
Hippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.
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.
","descriptionPlain":"ROLE MISSION\n\nAs an AI Engineer at Hippocratic AI, you'll design and build the intelligent systems that power clinically safe healthcare agents at scale. You'll work at the intersection of large language models, real-time voice, and human-centered product design—translating cutting-edge research into production systems that patients and providers trust. This role exists because the gap between research and reliable production AI is where real innovation happens: your work directly determines whether advanced AI becomes a tool that transforms healthcare or remains a research project.\n\n\nWHAT YOU WILL ACCOMPLISH\n\nOwn your first major outcome: By day 90, you will have shipped an end-to-end AI feature or system improvement (a new RAG pipeline, multi-agent workflow, or voice agent capability), validated it works reliably in production, and established the development patterns that the team will scale going forward.\n\nDrive lasting impact: At 12 months, you will have built multiple production AI systems (RAG pipelines, multi-step reasoning workflows, real-time voice agent interactions), contributed architectural patterns that become standard across the team, improved our model evaluation and safety testing capabilities, and directly shaped how thousands of patient conversations are powered by our platform.\n\n\nTHE TEAM\n\nYou'll work alongside AI researchers, product managers, clinical experts, and engineers who are obsessed with bringing safe, reliable AI into healthcare. This is a cross-functional team that values both innovation and rigor—people who love solving hard technical problems that have real patient impact, and who move fast without sacrificing safety or quality.\n\n\nWHAT YOU'LL DO\n\n - Design and build production-grade AI pipelines that power our voice-based generative healthcare agents—architecting RAG systems, multi-step reasoning workflows, and streaming interactions that scale reliably\n\n - Collaborate cross-functionally with product, clinical, and engineering teams to translate healthcare workflows into safe, scalable, and human-centered AI experiences—bringing together research capabilities and product intuition\n\n - Prototype and deploy zero-to-one features using state-of-the-art LLMs, retrieval systems, and streaming architectures—balancing rapid innovation with production reliability and clinical safety\n\n - Develop and refine AI-native workflows that support real-time, conversational, and long-running interactions across diverse healthcare contexts, ensuring systems handle edge cases and failure modes gracefully\n\n - Drive continuous improvement in model evaluation, safety testing, and observability—building the measurement and monitoring infrastructure that ensures every agent interaction meets clinical safety standards\n\n - Contribute to technical culture through documentation, knowledge sharing, and collaboration that elevates team capabilities and product quality\n\n\nLOCATION REQUIREMENT\n\nWe believe the best ideas happen together. This role is based in our Menlo Park, California office, expected to be in office five days a week.\n\n\n\n\nCOMPENSATION\n\nCompensation is based on experience, expertise, and level of responsibility. We offer competitive packages that reflect the seniority and scope of the role, along with equity, health insurance, and other benefits.\n\n\n\n\nWHAT YOU BRING\n\n\nMUST HAVE:\n\n - BS in Computer Science or equivalent\n\n - 5+ years of professional experience in software, ML, or AI engineering.\n\n - Proven track record building and shipping AI- or ML-powered products in production environments.\n\n - Strong programming skills in Python with experience in distributed systems, APIs, and data pipelines.\n\n - Deep understanding of prompt engineering, vector databases, and retrieval systems (RAG), voice agents or willingness to learn rapidly.\n\n - Experience with cloud environments (AWS/GCP/Azure) and modern DevOps practices (Terraform, CI/CD, monitoring).\n\n\nNICE-TO-HAVE:\n\n - Experience building or deploying LLM-based or multi-agent systems at scale.\n\n - Hands-on work with speech recognition, text-to-speech, or streaming architectures for real-time AI experiences.\n\n - Prior exposure to healthcare, safety-critical domains, or regulated product development.\n\n \n\nIf you’re an AI engineer who thrives at the intersection of cutting-edge research and real-world product impact, we’d love to hear from you.\n\nJoin Hippocratic AI and help shape the future of clinically safe, voice-enabled AI systems that are already transforming patient care at scale.\n\n \n\n\nWHY JOIN HIPPOCRATIC AI\n\nReinvent 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.\n\nWork 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.\n\nBacked 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.\n\nBuild 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.\n\n\nEQUAL OPPORTUNITY\n\nHippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.\n\nPlease be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com http://hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process."},{"id":"20a4404e-4356-463a-88a0-bc291844b0ea","title":"VP, Enterprise Sales","department":"Sales & Marketing","team":"Sales","employmentType":"FullTime","location":"United States","secondaryLocations":[],"publishedAt":"2026-05-16T00:28:42.786+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/20a4404e-4356-463a-88a0-bc291844b0ea","applyUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/20a4404e-4356-463a-88a0-bc291844b0ea/application","descriptionHtml":"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 are adding senior VPs of Enterprise Sales to our commercial team to land transformation deals at the largest health systems in the country.
As a leader on the go-to-market team, you will own a named-account territory, driving CEO and broader c-suite engagement at the top of the deal through vision selling, with rigorous scoping, ROI modeling, governance, security review, and procurement underneath. You will report to our Chief Growth Officer, and work with executive leadership and the CEO on the most strategic deals.
The ideal candidate has extensive experience selling software solutions to healthcare providers, excels in navigating the intricacies of these organizations, and thrives in a dynamic, fast-paced environment.
Manage your accounts as a business. Sequence accounts by readiness, manage capacity across tiers, and run the full sales cycle to closure.
Open and operate at the C-suite. Drive the transformation case with CEOs, COOs, CMOs, CIOs, CDOs, and CFOs, driving consensus of Hippocratic AI as the optimal solution.
Architect each deal end-to-end. Discovery, vision pitch, scope, ROI, governance, security, procurement, contract.
Multi-thread with multiple executive champions who clear the path, and accelerate the deal.
Partner with clinical, product, and customer success teams to to align strategies and deliver seamless client experiences.
Serve as a trusted advisor. Stay informed about industry trends, competitive offerings, and the evolving needs of healthcare organizations to position Hippocratic AI effectively.
Must-Have:
15+ years selling enterprise software, services, or transformation engagements to health systems, with at least one role at a sub-500-person company.
Experience personally closing $1M+ enterprise deals at health systems and consistent top tier performance.
Proven ability to build an ROI model that withstands a CFO review and a clinical narrative that withstands a CMO review
Healthcare fluency. You can hold your own in a room with a CFO on margin pressure, with a CMO on clinical workflow, with a CIO on integration risk.
Track record of selling into novel categories where the buyer did not have an existing budget line — digital health category creation, novel-mechanism pharma launches, transformation consulting, or equivalent.
Trusted relationships with health system CIOs, CMOs, COOs, CDOs
Willingness and ability to travel extensively for client meetings, presentations, and industry events.
Bachelor’s degree required and advanced degree preferred.
Nice-to-Have:
Experience working in a startup or high-growth environment.
Experience selling AI-powered solutions or other cutting-edge healthcare technology.
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.
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.
Hippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.
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.
","descriptionPlain":"ABOUT US\n\nHippocratic 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.\n\n\n\n\nWHY JOIN OUR TEAM\n\nReinvent 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.\n\nWork 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.\n\nBacked 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.\nBuild 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.\n\n\n\n\nABOUT THE ROLE\n\nWe are adding senior VPs of Enterprise Sales to our commercial team to land transformation deals at the largest health systems in the country.\n\n\n\nAs a leader on the go-to-market team, you will own a named-account territory, driving CEO and broader c-suite engagement at the top of the deal through vision selling, with rigorous scoping, ROI modeling, governance, security review, and procurement underneath. You will report to our Chief Growth Officer, and work with executive leadership and the CEO on the most strategic deals.\n\nThe ideal candidate has extensive experience selling software solutions to healthcare providers, excels in navigating the intricacies of these organizations, and thrives in a dynamic, fast-paced environment.\n\n\n\n\nWHAT YOU'LL DO\n\n - Manage your accounts as a business. Sequence accounts by readiness, manage capacity across tiers, and run the full sales cycle to closure.\n\n - Open and operate at the C-suite. Drive the transformation case with CEOs, COOs, CMOs, CIOs, CDOs, and CFOs, driving consensus of Hippocratic AI as the optimal solution.\n\n - Architect each deal end-to-end. Discovery, vision pitch, scope, ROI, governance, security, procurement, contract.\n\n - Multi-thread with multiple executive champions who clear the path, and accelerate the deal.\n\n - Partner with clinical, product, and customer success teams to to align strategies and deliver seamless client experiences.\n\n - Serve as a trusted advisor. Stay informed about industry trends, competitive offerings, and the evolving needs of healthcare organizations to position Hippocratic AI effectively.\n \n \n\n\nWHAT YOU BRING\n\nMust-Have:\n\n - 15+ years selling enterprise software, services, or transformation engagements to health systems, with at least one role at a sub-500-person company.\n\n - Experience personally closing $1M+ enterprise deals at health systems and consistent top tier performance.\n\n - Proven ability to build an ROI model that withstands a CFO review and a clinical narrative that withstands a CMO review\n\n - Healthcare fluency. You can hold your own in a room with a CFO on margin pressure, with a CMO on clinical workflow, with a CIO on integration risk.\n\n - Track record of selling into novel categories where the buyer did not have an existing budget line — digital health category creation, novel-mechanism pharma launches, transformation consulting, or equivalent.\n\n - Trusted relationships with health system CIOs, CMOs, COOs, CDOs\n\n - Willingness and ability to travel extensively for client meetings, presentations, and industry events.\n\n - Bachelor’s degree required and advanced degree preferred.\n\nNice-to-Have:\n\n - Experience working in a startup or high-growth environment.\n\n - Experience selling AI-powered solutions or other cutting-edge healthcare technology.\n\n\n\nPlease be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com http://hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process.\n\n\nWHY JOIN HIPPOCRATIC AI\n\nReinvent 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.\n\nWork 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.\n\nBacked 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.\n\nBuild 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.\n\n\nEQUAL OPPORTUNITY\n\nHippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.\n\nPlease be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com http://hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process."},{"id":"c53ca7cb-f9a2-42a0-8b15-733111bc5878","title":"Deployment Strategist (Payors)","department":"Customer Experience","team":"Deployment Solutions","employmentType":"FullTime","location":"United States","secondaryLocations":[],"publishedAt":"2026-10-02T00:17:09.456+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/c53ca7cb-f9a2-42a0-8b15-733111bc5878","applyUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/c53ca7cb-f9a2-42a0-8b15-733111bc5878/application","descriptionHtml":"As Deployment Strategist for Payors at Hippocratic AI, you will lead customer deployments that translate AI into measurable operational outcomes for health plans and payor organizations. You will work closely with customers to plan implementations, coordinate cross functional teams, drive adoption, and ensure each deployment delivers value in complex administrative, care management, and member facing workflows.
This role exists because successful deployment in payor environments requires more than strong execution alone. It requires someone who understands payor operations, can navigate complex stakeholder groups, can connect product capabilities to business and clinical priorities, and can guide organizations through implementation and change. You will serve as both a strategic partner and an execution lead, helping customers move from initial planning through launch and long term impact.
Own your first major outcome: By day 90, you will have supported or led your first major payor deployment through a successful implementation milestone, built strong working relationships with key customer stakeholders, identified operational risks and dependencies early, and contributed to deployment playbooks that improve consistency and speed across future implementations.
Drive lasting impact: At 12 months, you will have led multiple payor deployments across a range of customer environments and use cases, become a trusted partner to customer and internal teams, helped standardize implementation processes and operating rhythms, and directly contributed to faster time to value, stronger adoption, and more scalable delivery across the payor segment.
You’ll work alongside implementation managers, engineers, product managers, customer success partners, and clinical experts, partnering closely with customers while staying deeply connected to internal cross functional teams. You’ll operate with significant ownership, balancing strategic customer guidance with detailed execution. This is a team that values customer obsession, operational rigor, clarity, and practical problem solving in real healthcare environments.
Lead deployment planning and execution for payor customers, ensuring clear timelines, ownership, milestones, and successful implementation outcomes
Partner with customer stakeholders to understand business priorities, operational workflows, compliance considerations, and implementation constraints, then translate them into actionable deployment plans
Coordinate across deployment, product, engineering, and customer facing teams to keep implementations aligned and moving forward
Drive implementation readiness, including stakeholder alignment, rollout sequencing, training plans, risk tracking, and launch preparation
Identify blockers early and proactively resolve issues that could affect go live timelines, member experience, internal operations, or customer outcomes
Help customers navigate rollout and adoption by setting expectations, building trust, and guiding them through organizational change
Capture learnings from deployments and turn them into repeatable playbooks, templates, and best practices that improve future implementations
Use deployment insights to inform internal product and process improvements, helping the organization deliver more effectively at scale
This is a United States-based role open to candidates across multiple markets. We welcome applications from candidates located throughout the U.S. Specific placement, travel expectations, and regional alignment will be determined during the hiring process based on customer proximity, deployment portfolio needs, and your location. You should expect regular travel, typically 25 to 40% depending on deployment schedule, for on site implementation support, customer meetings, training, and go live activities.
Experience in deployment, implementation, customer success, strategic operations, consulting, or a related customer facing role, ideally with enterprise or healthcare customers
Strong understanding of payor-side healthcare workflows, operations, and organizational dynamics, either through direct experience in health plans or through customer facing implementation work in payor environments
Proven ability to manage complex customer engagements with multiple stakeholders across operations, clinical programs, IT, compliance, and executive functions
Excellent communication skills, with the ability to translate between customer goals, operational realities, and internal execution plans
Strong project leadership and problem solving skills, especially in fast moving environments where priorities evolve and ambiguity is common
Track record of driving execution across cross functional teams and maintaining momentum through complex implementations
Ability to balance strategic thinking with operational follow through, ensuring plans convert into measurable outcomes
required BA/BS degree
Direct experience working with health plans, managed care organizations, payors, or adjacent healthcare organizations
Familiarity with payor implementation challenges such as care management workflows, utilization management, member engagement, operational change management, and cross functional coordination
Experience building or improving repeatable deployment processes, playbooks, and delivery frameworks across multiple customer environments
Comfort serving as a trusted advisor to customers while also handling detailed execution work
Experience with AI, digital health, member operations tools, care navigation, or other technology deployments in healthcare settings
Familiarity with healthcare compliance and operational requirements relevant to payor environments, including HIPAA and related data handling considerations
This role is an opportunity to help define how breakthrough AI becomes real, trusted, and effective in payor organizations. You will work at the intersection of customer partnership, operational execution, and healthcare transformation, helping ensure deployments succeed not just technically, but in the day to day workflows that shape member, clinical, and operational outcomes.
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.
Hippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.
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.
","descriptionPlain":"ROLE MISSION\n\nAs Deployment Strategist for Payors at Hippocratic AI, you will lead customer deployments that translate AI into measurable operational outcomes for health plans and payor organizations. You will work closely with customers to plan implementations, coordinate cross functional teams, drive adoption, and ensure each deployment delivers value in complex administrative, care management, and member facing workflows.\n\nThis role exists because successful deployment in payor environments requires more than strong execution alone. It requires someone who understands payor operations, can navigate complex stakeholder groups, can connect product capabilities to business and clinical priorities, and can guide organizations through implementation and change. You will serve as both a strategic partner and an execution lead, helping customers move from initial planning through launch and long term impact.\n\n \n\n\nWHAT YOU WILL ACCOMPLISH\n\nOwn your first major outcome: By day 90, you will have supported or led your first major payor deployment through a successful implementation milestone, built strong working relationships with key customer stakeholders, identified operational risks and dependencies early, and contributed to deployment playbooks that improve consistency and speed across future implementations.\n\nDrive lasting impact: At 12 months, you will have led multiple payor deployments across a range of customer environments and use cases, become a trusted partner to customer and internal teams, helped standardize implementation processes and operating rhythms, and directly contributed to faster time to value, stronger adoption, and more scalable delivery across the payor segment.\n\n\nTHE TEAM\n\nYou’ll work alongside implementation managers, engineers, product managers, customer success partners, and clinical experts, partnering closely with customers while staying deeply connected to internal cross functional teams. You’ll operate with significant ownership, balancing strategic customer guidance with detailed execution. This is a team that values customer obsession, operational rigor, clarity, and practical problem solving in real healthcare environments.\n\n \n\n\nWHAT YOU'LL DO\n\n - Lead deployment planning and execution for payor customers, ensuring clear timelines, ownership, milestones, and successful implementation outcomes\n\n - Partner with customer stakeholders to understand business priorities, operational workflows, compliance considerations, and implementation constraints, then translate them into actionable deployment plans\n\n - Coordinate across deployment, product, engineering, and customer facing teams to keep implementations aligned and moving forward\n\n - Drive implementation readiness, including stakeholder alignment, rollout sequencing, training plans, risk tracking, and launch preparation\n\n - Identify blockers early and proactively resolve issues that could affect go live timelines, member experience, internal operations, or customer outcomes\n\n - Help customers navigate rollout and adoption by setting expectations, building trust, and guiding them through organizational change\n\n - Capture learnings from deployments and turn them into repeatable playbooks, templates, and best practices that improve future implementations\n\n - Use deployment insights to inform internal product and process improvements, helping the organization deliver more effectively at scale\n\n\nLOCATION REQUIREMENT\n\nThis is a United States-based role open to candidates across multiple markets. We welcome applications from candidates located throughout the U.S. Specific placement, travel expectations, and regional alignment will be determined during the hiring process based on customer proximity, deployment portfolio needs, and your location. You should expect regular travel, typically 25 to 40% depending on deployment schedule, for on site implementation support, customer meetings, training, and go live activities.\n\n \n\n\nREQUIRED QUALIFICATIONS\n\n - Experience in deployment, implementation, customer success, strategic operations, consulting, or a related customer facing role, ideally with enterprise or healthcare customers\n\n - Strong understanding of payor-side healthcare workflows, operations, and organizational dynamics, either through direct experience in health plans or through customer facing implementation work in payor environments\n\n - Proven ability to manage complex customer engagements with multiple stakeholders across operations, clinical programs, IT, compliance, and executive functions\n\n - Excellent communication skills, with the ability to translate between customer goals, operational realities, and internal execution plans\n\n - Strong project leadership and problem solving skills, especially in fast moving environments where priorities evolve and ambiguity is common\n\n - Track record of driving execution across cross functional teams and maintaining momentum through complex implementations\n\n - Ability to balance strategic thinking with operational follow through, ensuring plans convert into measurable outcomes\n\n - required BA/BS degree\n\n\nPREFERRED QUALIFICATIONS\n\n - Direct experience working with health plans, managed care organizations, payors, or adjacent healthcare organizations\n\n - Familiarity with payor implementation challenges such as care management workflows, utilization management, member engagement, operational change management, and cross functional coordination\n\n - Experience building or improving repeatable deployment processes, playbooks, and delivery frameworks across multiple customer environments\n\n - Comfort serving as a trusted advisor to customers while also handling detailed execution work\n\n - Experience with AI, digital health, member operations tools, care navigation, or other technology deployments in healthcare settings\n\n - Familiarity with healthcare compliance and operational requirements relevant to payor environments, including HIPAA and related data handling considerations\n\n\nWHY THIS ROLE\n\nThis role is an opportunity to help define how breakthrough AI becomes real, trusted, and effective in payor organizations. You will work at the intersection of customer partnership, operational execution, and healthcare transformation, helping ensure deployments succeed not just technically, but in the day to day workflows that shape member, clinical, and operational outcomes.\n\n\nWHY JOIN HIPPOCRATIC AI\n\nReinvent 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.\n\nWork 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.\n\nBacked 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.\n\nBuild 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.\n\n\nEQUAL OPPORTUNITY\n\nHippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.\n\nPlease be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com http://hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process."},{"id":"378e1797-b92c-4fce-98d2-03481e214bb5","title":"Forward Deployed Engineer (Mid/Senior)","department":"Customer Experience","team":"Customer Site Engineering","employmentType":"FullTime","location":"Menlo Park, CA","secondaryLocations":[],"publishedAt":"2026-08-08T17:49:38.761+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Menlo Park"}},"jobUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/378e1797-b92c-4fce-98d2-03481e214bb5","applyUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/378e1797-b92c-4fce-98d2-03481e214bb5/application","descriptionHtml":"As HAI's Forward Deployed Engineer, you will be the technical owner of AI deployments that directly transform how health systems operate. You'll embed with customers to build, launch, and operate production conversational AI agents—architecting systems that handle real clinical workflows and impact thousands of patient interactions. This role exists because healthcare organizations are ready to deploy breakthrough AI at scale, and they need a world-class AI engineer who can build reliable, innovative systems in the field.
Own your first major outcome: By day 90, you will have completed end-to-end ownership of your first AI deployment: designed and implemented a RAG pipeline grounded in customer data, built tool-calling and MCP integrations connecting our agents to customer systems (EHRs, data warehouses, operational tools), executed a production go-live with zero surprises, and established monitoring that catches anomalies before customers do.
Drive lasting impact: At 12 months, you will have deployed multiple agents across your assigned health system, built reusable AI patterns and frameworks that accelerate future deployments, become the trusted technical partner that customers rely on to solve their hardest AI problems, and generate measurable evidence that our agents improve operational reliability and clinical outcomes—validating our technology in production healthcare environments.
You'll work alongside Deployment Strategists, engineers, and clinical experts—embedded with customers but tightly connected to our core AI team. You'll operate with high technical ownership and autonomy in the field, with direct access to our product, ML research, and engineering leadership. This is a culture of shipping real systems, owning outcomes, and solving problems before they become crises.
Design and implement RAG pipelines that ground conversational AI responses in customer clinical data, ensuring accuracy, safety, and relevance to healthcare workflows while managing retrieval latency and data governance
Build tool-calling and Model Context Protocol (MCP) architectures that enable AI agents to interact securely with customer systems—EHRs (Epic, Cerner, Athena), data warehouses, and operational tools—handling errors gracefully and enforcing safety constraints
Develop production Python code using LangChain, LangSmith, and modern AI frameworks to implement advanced LLM techniques (RAG, prompt engineering, LLM-as-judge, chain-of-thought reasoning) solving novel healthcare AI problems
Execute end-to-end deployments including infrastructure setup, integration testing, production monitoring configuration, cutover planning, and go-live execution—ensuring deployments happen on schedule without surprises
Monitor and own production systems by instrumenting deployed agents, responding quickly to incidents, troubleshooting issues collaboratively with customers, and implementing fixes that keep systems running reliably
Partner with customers as technical expert, explaining AI system architecture, helping teams understand capabilities and limitations, and building confidence in the solution through proactive communication and problem-solving
We believe the best ideas happen together. To support fast collaboration and a strong team culture, this role is expected to be in our Menlo Park, CA office five days a week, unless otherwise specified.
Bachelor's degree in Computer Science, Software Engineering, or a related technical field
3+ years of professional software engineering experience with strong Python fundamentals and production software development experience
Hands-on experience with LLM frameworks (LangChain, LangSmith, or similar) and deep understanding of modern LLM development patterns and best practices
Deep expertise in LLM techniques including retrieval-augmented generation (RAG), prompt engineering, tool calling, LLM-as-judge, and related advanced patterns
Demonstrated experience building integrations with APIs, databases, or enterprise systems; comfort with async patterns, error handling, and reliability engineering
Experience with Model Context Protocol (MCP) or similar frameworks for tool integration and multi-system orchestration
Healthcare IT experience, including EHR integrations (Epic, Cerner, Athena), FHIR, HL7, or healthcare data standards
Production DevOps or infrastructure experience, including setting up monitoring, alerting, logging, and incident response systems
Track record deploying AI systems or working with LLMs in production environments, managing latency, reliability, and operational complexity
Experience in mission-critical or safety-sensitive systems where reliability and error handling are non-negotiable
Startup or high-growth technology background, particularly in technical leadership or ownership roles
Our comprehensive compensation package is designed to reward your expertise and includes both a competitive base salary and valuable stock options. Individual offers are determined based on a variety of factors, including your professional experience, core competencies, and geographic location.
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.
Hippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.
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.
","descriptionPlain":"ABOUT THE ROLE\n\n\nROLE MISSION\n\nAs HAI's Forward Deployed Engineer, you will be the technical owner of AI deployments that directly transform how health systems operate. You'll embed with customers to build, launch, and operate production conversational AI agents—architecting systems that handle real clinical workflows and impact thousands of patient interactions. This role exists because healthcare organizations are ready to deploy breakthrough AI at scale, and they need a world-class AI engineer who can build reliable, innovative systems in the field.\n\n\nWHAT YOU WILL ACCOMPLISH\n\nOwn your first major outcome: By day 90, you will have completed end-to-end ownership of your first AI deployment: designed and implemented a RAG pipeline grounded in customer data, built tool-calling and MCP integrations connecting our agents to customer systems (EHRs, data warehouses, operational tools), executed a production go-live with zero surprises, and established monitoring that catches anomalies before customers do.\n\nDrive lasting impact: At 12 months, you will have deployed multiple agents across your assigned health system, built reusable AI patterns and frameworks that accelerate future deployments, become the trusted technical partner that customers rely on to solve their hardest AI problems, and generate measurable evidence that our agents improve operational reliability and clinical outcomes—validating our technology in production healthcare environments.\n\n\nTHE TEAM\n\nYou'll work alongside Deployment Strategists, engineers, and clinical experts—embedded with customers but tightly connected to our core AI team. You'll operate with high technical ownership and autonomy in the field, with direct access to our product, ML research, and engineering leadership. This is a culture of shipping real systems, owning outcomes, and solving problems before they become crises.\n\n\nWHAT YOU WILL DO\n\n - Design and implement RAG pipelines that ground conversational AI responses in customer clinical data, ensuring accuracy, safety, and relevance to healthcare workflows while managing retrieval latency and data governance\n\n - Build tool-calling and Model Context Protocol (MCP) architectures that enable AI agents to interact securely with customer systems—EHRs (Epic, Cerner, Athena), data warehouses, and operational tools—handling errors gracefully and enforcing safety constraints\n\n - Develop production Python code using LangChain, LangSmith, and modern AI frameworks to implement advanced LLM techniques (RAG, prompt engineering, LLM-as-judge, chain-of-thought reasoning) solving novel healthcare AI problems\n\n - Execute end-to-end deployments including infrastructure setup, integration testing, production monitoring configuration, cutover planning, and go-live execution—ensuring deployments happen on schedule without surprises\n\n - Monitor and own production systems by instrumenting deployed agents, responding quickly to incidents, troubleshooting issues collaboratively with customers, and implementing fixes that keep systems running reliably\n\n - Partner with customers as technical expert, explaining AI system architecture, helping teams understand capabilities and limitations, and building confidence in the solution through proactive communication and problem-solving\n\n\nLOCATION REQUIREMENT\n\nWe believe the best ideas happen together. To support fast collaboration and a strong team culture, this role is expected to be in our Menlo Park, CA office five days a week, unless otherwise specified.\n\n\nBASIC QUALIFICATIONS\n\n - Bachelor's degree in Computer Science, Software Engineering, or a related technical field\n\n - 3+ years of professional software engineering experience with strong Python fundamentals and production software development experience\n\n - Hands-on experience with LLM frameworks (LangChain, LangSmith, or similar) and deep understanding of modern LLM development patterns and best practices\n\n - Deep expertise in LLM techniques including retrieval-augmented generation (RAG), prompt engineering, tool calling, LLM-as-judge, and related advanced patterns\n\n - Demonstrated experience building integrations with APIs, databases, or enterprise systems; comfort with async patterns, error handling, and reliability engineering\n\n\nPREFERRED QUALIFICATIONS\n\n - Experience with Model Context Protocol (MCP) or similar frameworks for tool integration and multi-system orchestration\n\n - Healthcare IT experience, including EHR integrations (Epic, Cerner, Athena), FHIR, HL7, or healthcare data standards\n\n - Production DevOps or infrastructure experience, including setting up monitoring, alerting, logging, and incident response systems\n\n - Track record deploying AI systems or working with LLMs in production environments, managing latency, reliability, and operational complexity\n\n - Experience in mission-critical or safety-sensitive systems where reliability and error handling are non-negotiable\n\n - Startup or high-growth technology background, particularly in technical leadership or ownership roles\n\nOur comprehensive compensation package is designed to reward your expertise and includes both a competitive base salary and valuable stock options. Individual offers are determined based on a variety of factors, including your professional experience, core competencies, and geographic location.\n\n\nWHY JOIN HIPPOCRATIC AI\n\nReinvent 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.\n\nWork 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.\n\nBacked 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.\n\nBuild 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.\n\n\nEQUAL OPPORTUNITY\n\nHippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.\n\nPlease be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com http://hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process."},{"id":"a859c80f-3426-4f46-913b-10492c2706b1","title":"Deployment Strategist (Cincinnati, OH)","department":"Customer Experience","team":"Deployment Solutions","employmentType":"FullTime","location":"Cincinnati, OH","secondaryLocations":[],"publishedAt":"2026-10-02T00:42:12.741+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"Ohio","addressCountry":"United States","addressLocality":"Cincinnati"}},"jobUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/a859c80f-3426-4f46-913b-10492c2706b1","applyUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/a859c80f-3426-4f46-913b-10492c2706b1/application","descriptionHtml":"As a Deployment Strategist at Hippocratic AI, you own healthcare AI deployments end-to-end — from workflow discovery and solution design, through hands-on build/configuration, launch, adoption, and measurable business impact — for health systems, providers, payors, or life sciences organizations. You'll own a defined deployment workstream or major customer milestone: establishing stakeholder relationships, identifying technical and operational dependencies, and driving a clear path to measurable value in real clinical and operational environments.
This role exists because successful AI deployments in healthcare require more than project management alone. It requires someone who understands clinical and operational workflows, can build trust with executive customer stakeholders, can connect product capabilities to operational needs, and can drive hands-on technical execution through ambiguity. You will serve as both a strategic partner and an execution lead — combining technical delivery, healthcare operations fluency, and executive customer partnership to help customers move from interest to implementation to lasting impact.
You’ll work alongside engineers, product managers, customer success partners, and clinical experts, partnering closely with customers while staying deeply connected to internal cross functional teams. You’ll operate with significant ownership, balancing strategic customer guidance with day to day execution. This is a team that values customer obsession, clear communication, operational rigor, and practical problem solving in real healthcare setting.
Get to the real problem behind what the customer is asking for — understand their business deeply enough to scope a solution that actually meets their objectives
Design and build agents capable of handling complex, high-stakes healthcare conversations
Map how data moves: from the customer's systems into the conversation, and from the conversation back out as insight. Scope what needs to be built to make that flow work, and partner with engineering to ship it
Own the implementation end to end: everything including bringing customer stakeholders along on adopting AI, configuring the agent to their workflows, managing timelines, documenting solutions, and getting ahead of blockers before they become problems. You’ll have a broad set of responsibilities from partnering with customer operational leaders to configuring call schedules.
Work with forward deployed engineers to spec new AI features to enhance customer deployments
Capture learnings from deployments and turn them into repeatable playbooks, templates, and best practices that improve future implementations
Develop analytics and create dashboards to track deployment performance
Use deployment insights to inform internal product and process improvements, helping the organization deliver more effectively at scale
This is an onsite role based in Cincinnati, Ohio, with five days per week at the client site and occasional travel to Hippocratic AI headquarters (Menlo Park, CA) for strategic planning and team sessions.
4+ years of relevant experience in deployment, implementation, strategic operations, consulting, solution architecture, or technical program management — however that experience was accrued
Direct experience serving healthcare customers, or working inside a healthcare organization
Working knowledge of provider-side, payor-side, or life sciences workflows, operations, and organizational dynamics
Demonstrated ability to reason about data models: you can interrogate a schema you have not seen before, build or direct an analysis against it, and tell when an output is wrong
Hands-on comfort with engineering systems — JSON files, terminals, command-line coding assistants, and git workflows
A track record of project-managing complex customer engagements across operational, clinical, IT, and executive stakeholders simultaneously
BA/BS in a technical field (engineering, science, analytics, economics, or similar)
SQL
Epic experience, including Clarity, Caboodle, or Cogito work, or Epic certification
A clinical background — RN, BSN, clinical informatics, or similar
Forward-deployed, implementation, or solutions work at an AI, data platform, or health-tech company
HL7 or FHIR fluency
Experience with utilization management, prior authorization, care management, revenue cycle, or value-based care programs
Prior exposure to LLM-based or agentic products in production
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.
Hippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.
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.
","descriptionPlain":"ROLE MISSION\n\nAs a Deployment Strategist at Hippocratic AI, you own healthcare AI deployments end-to-end — from workflow discovery and solution design, through hands-on build/configuration, launch, adoption, and measurable business impact — for health systems, providers, payors, or life sciences organizations. You'll own a defined deployment workstream or major customer milestone: establishing stakeholder relationships, identifying technical and operational dependencies, and driving a clear path to measurable value in real clinical and operational environments.\n\nThis role exists because successful AI deployments in healthcare require more than project management alone. It requires someone who understands clinical and operational workflows, can build trust with executive customer stakeholders, can connect product capabilities to operational needs, and can drive hands-on technical execution through ambiguity. You will serve as both a strategic partner and an execution lead — combining technical delivery, healthcare operations fluency, and executive customer partnership to help customers move from interest to implementation to lasting impact.\n\n\n\n\nTHE TEAM\n\nYou’ll work alongside engineers, product managers, customer success partners, and clinical experts, partnering closely with customers while staying deeply connected to internal cross functional teams. You’ll operate with significant ownership, balancing strategic customer guidance with day to day execution. This is a team that values customer obsession, clear communication, operational rigor, and practical problem solving in real healthcare setting.\n\n \n\n\nWHAT YOU'LL DO\n\n - Get to the real problem behind what the customer is asking for — understand their business deeply enough to scope a solution that actually meets their objectives\n\n - Design and build agents capable of handling complex, high-stakes healthcare conversations\n\n - Map how data moves: from the customer's systems into the conversation, and from the conversation back out as insight. Scope what needs to be built to make that flow work, and partner with engineering to ship it\n\n - Own the implementation end to end: everything including bringing customer stakeholders along on adopting AI, configuring the agent to their workflows, managing timelines, documenting solutions, and getting ahead of blockers before they become problems. You’ll have a broad set of responsibilities from partnering with customer operational leaders to configuring call schedules.\n\n - Work with forward deployed engineers to spec new AI features to enhance customer deployments\n\n - Capture learnings from deployments and turn them into repeatable playbooks, templates, and best practices that improve future implementations\n\n - Develop analytics and create dashboards to track deployment performance\n\n - Use deployment insights to inform internal product and process improvements, helping the organization deliver more effectively at scale\n\n\nLOCATION REQUIREMENT\n\nThis is an onsite role based in Cincinnati, Ohio, with five days per week at the client site and occasional travel to Hippocratic AI headquarters (Menlo Park, CA) for strategic planning and team sessions.\n\n \n\n\nMUST HAVES\n\n - 4+ years of relevant experience in deployment, implementation, strategic operations, consulting, solution architecture, or technical program management — however that experience was accrued\n\n - Direct experience serving healthcare customers, or working inside a healthcare organization\n\n - Working knowledge of provider-side, payor-side, or life sciences workflows, operations, and organizational dynamics\n\n - Demonstrated ability to reason about data models: you can interrogate a schema you have not seen before, build or direct an analysis against it, and tell when an output is wrong\n\n - Hands-on comfort with engineering systems — JSON files, terminals, command-line coding assistants, and git workflows\n\n - A track record of project-managing complex customer engagements across operational, clinical, IT, and executive stakeholders simultaneously\n\n - BA/BS in a technical field (engineering, science, analytics, economics, or similar)\n\n\nNICE TO HAVES\n\n - SQL\n\n - Epic experience, including Clarity, Caboodle, or Cogito work, or Epic certification\n\n - A clinical background — RN, BSN, clinical informatics, or similar\n\n - Forward-deployed, implementation, or solutions work at an AI, data platform, or health-tech company\n\n - HL7 or FHIR fluency\n\n - Experience with utilization management, prior authorization, care management, revenue cycle, or value-based care programs\n\n - Prior exposure to LLM-based or agentic products in production\n\n\nWHY JOIN HIPPOCRATIC AI\n\nReinvent 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.\n\nWork 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.\n\nBacked 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.\n\nBuild 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.\n\n\nEQUAL OPPORTUNITY\n\nHippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.\n\nPlease be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com http://hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process."},{"id":"1f9fdd19-3b9e-4b25-a2e7-d2a8c487880c","title":"Deployment Strategist (Life Sciences)","department":"Customer Experience","team":"Deployment Solutions","employmentType":"FullTime","location":"Menlo Park, CA","secondaryLocations":[],"publishedAt":"2026-06-29T21:09:21.156+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Menlo Park"}},"jobUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/1f9fdd19-3b9e-4b25-a2e7-d2a8c487880c","applyUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/1f9fdd19-3b9e-4b25-a2e7-d2a8c487880c/application","descriptionHtml":"As a Deployment Strategist, you'll join a team of Engineers, Product Designers, and fellow Strategists deploying our AI against healthcare's most important problems.
Your mission: synthesize disconnected inputs—the core problem, the data, the product, user motivations, and potential impact—into a clear path forward. You'll immerse yourself in customers' most intricate life sciences workflows, splitting time between multiple days per week onsite at client locations and working from our Menlo Park office, bringing curiosity, analytical rigor, sharp product intuition, and strong user insight to help customers improve decisions and patient outcomes.
Beyond initial deployment, you'll own long-term account success—part customer success manager, part strategist—serving as the primary relationship owner driving adoption, retention, renewal, and expansion. This role is dedicated to life sciences (MedTech, medical devices, biotech, pharma), and you'll become fluent in how these organizations operate—from R&D and clinical development through commercialization, manufacturing, regulatory affairs, and post-market engagement—tailoring every deployment to a highly regulated, scientifically rigorous industry.
Deployment & Delivery
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 ROI, turning data into recommendations and demos/presentations for audiences from Directors to C-suite.
Embed with Product and Engineering to feed field insights into the broader roadmap.
Account & Relationship Management
Act as trusted advisor and customer success owner for life sciences accounts—building executive relationships, running QBRs, and driving adoption, retention, renewals, and expansion.
Define success metrics tied to each customer's goals and proactively flag renewal risks.
Life Sciences Expertise
Tailor deployments to sector use cases (MedTech, biotech, pharma) like patient/HCP engagement, trial recruitment, adherence, and device onboarding.
Partner with regulatory, quality, and compliance teams to meet standards (GxP, HIPAA, FDA, EMA), and represent life sciences needs back to Product/Engineering.
Location and Travel
We believe the best ideas happen together. To support fast collaboration and a strong team culture, this role is expected to be in our Menlo Park office five days a week.
Travel Requirement for this role is anywhere from 25 - 40%.
What You Bring
Bachelor's degree from an accredited university.
4+ years in life sciences consulting or customer-facing strategy and implementation, leading complex engagements in fast-paced, ambiguous environments.
Strong analytical skills, comfortable using data and metrics to drive decisions, with experience in tools like Python, R, SQL, or Excel.
Excellent communication and stakeholder management across diverse audiences (clinical staff, IT, executives), with the autonomy to operate 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 (clinical trials, patient services, HCP enablement, med devices, etc.).
Customer-success mindset—owning adoption, retention, and account health—paired with the strategic and technical depth to drive complex deployments.
Familiarity with life sciences data standards, workflows, and regulatory frameworks (GxP, GCP, 21 CFR Part 11, HIPAA, FDA/EMA submissions, pharmacovigilance).
Background at forward-deployed or top life sciences consulting firms, with experience deploying/scaling AI, ML, 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.
What Success Looks Like
Success in this role means effectively managing client accounts: partnering with clients and internal engineering teams to deploy on time, successfully increasing adoption, and then scaling the program from a single use case to many.
This breaks down into two things:
• Managing the client relationship so deployment stays on track.
• Coordinating closely with internal engineering to resolve blockers before they slip timelines.
• Hitting go-live dates with a strong quality mindset.
• Helping clients navigate the internal change management needed to actually adopt the solution.
• Turning a single successful use case into a multi-use-case program.
• Acting as the connective tissue between client goals and internal execution, so scaling feels like a natural next step rather than a renegotiation.
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.
Hippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.
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.
","descriptionPlain":"ABOUT THE ROLE\n\nAs a Deployment Strategist, you'll join a team of Engineers, Product Designers, and fellow Strategists deploying our AI against healthcare's most important problems.\n\nYour mission: synthesize disconnected inputs—the core problem, the data, the product, user motivations, and potential impact—into a clear path forward. You'll immerse yourself in customers' most intricate life sciences workflows, splitting time between multiple days per week onsite at client locations and working from our Menlo Park office, bringing curiosity, analytical rigor, sharp product intuition, and strong user insight to help customers improve decisions and patient outcomes.\n\nBeyond initial deployment, you'll own long-term account success—part customer success manager, part strategist—serving as the primary relationship owner driving adoption, retention, renewal, and expansion. This role is dedicated to life sciences (MedTech, medical devices, biotech, pharma), and you'll become fluent in how these organizations operate—from R&D and clinical development through commercialization, manufacturing, regulatory affairs, and post-market engagement—tailoring every deployment to a highly regulated, scientifically rigorous industry.\n\n \n\n\nWHAT YOU'LL DO\n\nDeployment & Delivery\n\n - 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.\n\n - Build and train new user groups on customized workflows across patient services, clinical operations, contact centers, and HCP enablement.\n\n - Track deployment performance and ROI, turning data into recommendations and demos/presentations for audiences from Directors to C-suite.\n\n - Embed with Product and Engineering to feed field insights into the broader roadmap.\n\nAccount & Relationship Management\n\n - Act as trusted advisor and customer success owner for life sciences accounts—building executive relationships, running QBRs, and driving adoption, retention, renewals, and expansion.\n\n - Define success metrics tied to each customer's goals and proactively flag renewal risks.\n\nLife Sciences Expertise\n\n - Tailor deployments to sector use cases (MedTech, biotech, pharma) like patient/HCP engagement, trial recruitment, adherence, and device onboarding.\n\n - Partner with regulatory, quality, and compliance teams to meet standards (GxP, HIPAA, FDA, EMA), and represent life sciences needs back to Product/Engineering.\n\n\n\nLocation and Travel\n\n - We believe the best ideas happen together. To support fast collaboration and a strong team culture, this role is expected to be in our Menlo Park office five days a week.\n\n - Travel Requirement for this role is anywhere from 25 - 40%.\n\n \n\nWhat You Bring\n\n\nMUST HAVE\n\n - Bachelor's degree from an accredited university.\n\n - 4+ years in life sciences consulting or customer-facing strategy and implementation, leading complex engagements in fast-paced, ambiguous environments.\n\n - Strong analytical skills, comfortable using data and metrics to drive decisions, with experience in tools like Python, R, SQL, or Excel.\n\n - Excellent communication and stakeholder management across diverse audiences (clinical staff, IT, executives), with the autonomy to operate in client-embedded settings.\n\n - Ability to travel 25–40%, including overnight and out-of-state trips.\n\n - Generalist or subject-matter expertise in a life sciences area (clinical trials, patient services, HCP enablement, med devices, etc.).\n\n - Customer-success mindset—owning adoption, retention, and account health—paired with the strategic and technical depth to drive complex deployments.\n\n\nNICE-TO-HAVE\n\n - Familiarity with life sciences data standards, workflows, and regulatory frameworks (GxP, GCP, 21 CFR Part 11, HIPAA, FDA/EMA submissions, pharmacovigilance).\n\n - Background at forward-deployed or top life sciences consulting firms, with experience deploying/scaling AI, ML, or enterprise SaaS.\n\n - Startup experience and comfort building from scratch.\n\n - Prior customer success or account management experience, ideally owning a book of enterprise accounts.\n\n - Experience presenting outcomes at conferences or executive forums.\n\n\n\nWhat Success Looks Like\n\nSuccess in this role means effectively managing client accounts: partnering with clients and internal engineering teams to deploy on time, successfully increasing adoption, and then scaling the program from a single use case to many.\n\nThis breaks down into two things:\n\n\n\n\nEXECUTION SUCCESS\n\n• Managing the client relationship so deployment stays on track.\n\n• Coordinating closely with internal engineering to resolve blockers before they slip timelines.\n\n• Hitting go-live dates with a strong quality mindset.\n\n\n\n\nSTRATEGIC SUCCESS\n\n• Helping clients navigate the internal change management needed to actually adopt the solution.\n\n• Turning a single successful use case into a multi-use-case program.\n\n• Acting as the connective tissue between client goals and internal execution, so scaling feels like a natural next step rather than a renegotiation.\n\n\nWHY JOIN HIPPOCRATIC AI\n\nReinvent 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.\n\nWork 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.\n\nBacked 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.\n\nBuild 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.\n\n\nEQUAL OPPORTUNITY\n\nHippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.\n\nPlease be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com http://hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process."},{"id":"22430150-7a6d-4d96-bf72-0600a1d7993b","title":"Vice President, Customer Success (Life Sciences)","department":"Sales & Marketing","team":"Sales","employmentType":"FullTime","location":"Menlo Park, CA","secondaryLocations":[],"publishedAt":"2026-09-30T19:39:20.802+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Menlo Park"}},"jobUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/22430150-7a6d-4d96-bf72-0600a1d7993b","applyUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/22430150-7a6d-4d96-bf72-0600a1d7993b/application","descriptionHtml":"As VP of Customer Success at Hippocratic AI, you will own one of our largest, most strategic life sciences customers end-to-end while building and scaling a high-performing pod of Customer Success Executives and Forward Deployed Engineers. You'll serve as the executive champion for this flagship account, driving expansion and retention while pioneering the playbooks and processes that define how we deliver breakthrough AI into life sciences organizations. This role exists because our most important customers deserve a dedicated executive partner who combines deep life sciences expertise, commercial acumen, and the ability to lead technical delivery teams—someone who can translate customer success into sustainable revenue growth and category leadership.
Own your first major outcome: By day 90, you will have completed a deep diagnostic of the customer's organization and priorities, established your pod's operating cadence and accountability framework, secured alignment with your customer's executive sponsors on key success metrics and milestones, and shipped your first measurable improvement in customer adoption or expansion.
Drive lasting impact: At 12 months, you will have grown net revenue retention on this account by 25%+ through expansion and retention, built a replicable CS + FDE pod model that becomes the template for scaling customer success across Hippocratic AI, positioned the customer as a visible champion of our platform in the life sciences industry, and demonstrated how strategic account leadership compounds customer lifetime value.
You'll lead a dedicated pod of Customer Success Executives and Forward Deployed Engineers—your direct team that works embedded with the customer. You'll partner closely with our Product, Engineering, Sales, and Clinical teams, translating customer insights into product roadmap priorities and go-to-market strategy. This is a leadership role that combines hands-on account ownership with team building and organizational influence.
We believe the best ideas happen together. This role is based in our Menlo Park, California office, expected to be in office five days a week.
Bachelor’s degree from an accredited university.
10–15 years of experience in life sciences (pharmaceutical, biotech, medical device, or CRO), including 7+ years in customer-facing leadership roles working with or within life sciences organizations.
Proven ability to own a large, strategic enterprise account and lead a cross-functional team of customer success and technical/engineering staff.
Deep knowledge of life sciences workflows and operating models across areas such as commercial, medical affairs, clinical operations, or R&D.
Experience leading cross-functional initiatives in a startup or high-growth technology environment.
Strong executive presence and communication skills, with proven ability to engage C-suite executives and senior stakeholders in large enterprise organizations.
Demonstrated success in implementation excellence, change leadership, and delivering measurable results.
Track record of hitting or exceeding delivery and revenue goals in a CS organization.
Experience building or shaping customer success playbooks, team structures, and scalable processes — not just executing them.
Technical fluency sufficient to lead and direct Forward Deployed Engineers and engage credibly with customer technical teams.
Experience with AI, digital health, or clinical/scientific decision support tools.
Background in consulting, health tech, or life sciences operations transformation.
Prior exposure to regulatory, compliance, or data governance considerations in life sciences (e.g., GxP, HIPAA, 21 CFR Part 11).
Experience with pricing, packaging, or go-to-market strategy in a life sciences or healthcare SaaS environment.
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.
Hippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.
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.
","descriptionPlain":"ROLE MISSION\n\nAs VP of Customer Success at Hippocratic AI, you will own one of our largest, most strategic life sciences customers end-to-end while building and scaling a high-performing pod of Customer Success Executives and Forward Deployed Engineers. You'll serve as the executive champion for this flagship account, driving expansion and retention while pioneering the playbooks and processes that define how we deliver breakthrough AI into life sciences organizations. This role exists because our most important customers deserve a dedicated executive partner who combines deep life sciences expertise, commercial acumen, and the ability to lead technical delivery teams—someone who can translate customer success into sustainable revenue growth and category leadership.\n\n\nWHAT YOU WILL ACCOMPLISH\n\nOwn your first major outcome: By day 90, you will have completed a deep diagnostic of the customer's organization and priorities, established your pod's operating cadence and accountability framework, secured alignment with your customer's executive sponsors on key success metrics and milestones, and shipped your first measurable improvement in customer adoption or expansion.\n\nDrive lasting impact: At 12 months, you will have grown net revenue retention on this account by 25%+ through expansion and retention, built a replicable CS + FDE pod model that becomes the template for scaling customer success across Hippocratic AI, positioned the customer as a visible champion of our platform in the life sciences industry, and demonstrated how strategic account leadership compounds customer lifetime value.\n\n\nTHE TEAM\n\nYou'll lead a dedicated pod of Customer Success Executives and Forward Deployed Engineers—your direct team that works embedded with the customer. You'll partner closely with our Product, Engineering, Sales, and Clinical teams, translating customer insights into product roadmap priorities and go-to-market strategy. This is a leadership role that combines hands-on account ownership with team building and organizational influence.\n\n\nLOCATION REQUIREMENT\n\nWe believe the best ideas happen together. This role is based in our Menlo Park, California office, expected to be in office five days a week. \n\n\nWHAT YOU BRING\n\n\nMUST-HAVE:\n\n - Bachelor’s degree from an accredited university.\n\n - 10–15 years of experience in life sciences (pharmaceutical, biotech, medical device, or CRO), including 7+ years in customer-facing leadership roles working with or within life sciences organizations.\n\n - Proven ability to own a large, strategic enterprise account and lead a cross-functional team of customer success and technical/engineering staff.\n\n - Deep knowledge of life sciences workflows and operating models across areas such as commercial, medical affairs, clinical operations, or R&D.\n\n - Experience leading cross-functional initiatives in a startup or high-growth technology environment.\n\n - Strong executive presence and communication skills, with proven ability to engage C-suite executives and senior stakeholders in large enterprise organizations.\n\n - Demonstrated success in implementation excellence, change leadership, and delivering measurable results.\n\n - Track record of hitting or exceeding delivery and revenue goals in a CS organization.\n\n - Experience building or shaping customer success playbooks, team structures, and scalable processes — not just executing them.\n\n - Technical fluency sufficient to lead and direct Forward Deployed Engineers and engage credibly with customer technical teams.\n\n\nNICE-TO-HAVE:\n\n - Experience with AI, digital health, or clinical/scientific decision support tools.\n\n - Background in consulting, health tech, or life sciences operations transformation.\n\n - Prior exposure to regulatory, compliance, or data governance considerations in life sciences (e.g., GxP, HIPAA, 21 CFR Part 11).\n\n - Experience with pricing, packaging, or go-to-market strategy in a life sciences or healthcare SaaS environment.\n\n\nWHY JOIN HIPPOCRATIC AI\n\nReinvent 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.\n\nWork 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.\n\nBacked 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.\n\nBuild 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.\n\n\nEQUAL OPPORTUNITY\n\nHippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.\n\nPlease be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com http://hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process."},{"id":"7fb0dbeb-52e8-49e0-aca6-013fb8576bb3","title":"Senior Applied Scientist, Reinforcement Learning","department":"Research & Development","team":"LLM Engineering & Sciences","employmentType":"FullTime","location":"Menlo Park, CA","secondaryLocations":[],"publishedAt":"2026-10-27T13:40:06.661+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Menlo Park"}},"jobUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/7fb0dbeb-52e8-49e0-aca6-013fb8576bb3","applyUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/7fb0dbeb-52e8-49e0-aca6-013fb8576bb3/application","descriptionHtml":"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.
Location Requirement
We believe the best ideas happen together. To support fast collaboration and a strong team culture, this role is expected to be in our Menlo Park office five days a week, unless otherwise specified.
LLM post-training is where raw capability becomes reliable, safe behavior — and in healthcare, the stakes are as high as they get. You'll own the Reinforcement Learning (RL) and On-Policy Distillation (OPD) post-training pipeline end to end, to improve our models' clinical reasoning, safety, and alignment. Your models will be deployed to interact with millions of patients across diverse clinical use cases.
Design RL and OPD post-training methods (RLHF, RLVR, OPD, etc.)
Build and evaluate reward models, verifiers, and LLM-as-judge pipelines
Develop conversational AI environments and simulations for healthcare RL training with synthetic data
Automate post-training loops with agents (auto-research)
Run rigorous experiments to understand what drives post-training gains
Collaborate with research, engineering, and clinical teams
MS or PhD in CS or relevant field
3+ years or experience in NLP, LLM training, or RL
1+ years experience in RL for LLM post-training
Experience with large-scale (50B+ parameter and multi-node) LLM training
Strong Python and PyTorch coding skills
Experience with RLHF, RLVR, LLM-as-judge or similar methods for LLM post-training
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.
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.
Hippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.
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.
","descriptionPlain":"ABOUT US\n\nHippocratic 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.\n\n\nWHY JOIN OUR TEAM\n\nReinvent 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.\n\nWork 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.\n\nBacked 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.\n\nBuild 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.\n\nLocation Requirement\n\nWe believe the best ideas happen together. To support fast collaboration and a strong team culture, this role is expected to be in our Menlo Park office five days a week, unless otherwise specified.\n\n\n\n\nABOUT THE ROLE\n\nLLM post-training is where raw capability becomes reliable, safe behavior — and in healthcare, the stakes are as high as they get. You'll own the Reinforcement Learning (RL) and On-Policy Distillation (OPD) post-training pipeline end to end, to improve our models' clinical reasoning, safety, and alignment. Your models will be deployed to interact with millions of patients across diverse clinical use cases.\n\n\nWHAT YOU’LL DO\n\n - Design RL and OPD post-training methods (RLHF, RLVR, OPD, etc.)\n\n - Build and evaluate reward models, verifiers, and LLM-as-judge pipelines\n\n - Develop conversational AI environments and simulations for healthcare RL training with synthetic data\n\n - Automate post-training loops with agents (auto-research)\n\n - Run rigorous experiments to understand what drives post-training gains\n\n - Collaborate with research, engineering, and clinical teams\n\n\nWHAT YOU BRING\n\n - MS or PhD in CS or relevant field\n\n - 3+ years or experience in NLP, LLM training, or RL\n\n - 1+ years experience in RL for LLM post-training\n\n - Experience with large-scale (50B+ parameter and multi-node) LLM training\n\n - Strong Python and PyTorch coding skills\n\n - Experience with RLHF, RLVR, LLM-as-judge or similar methods for LLM post-training\n\nPlease be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com http://hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process.\n\n\n\nWHY JOIN HIPPOCRATIC AI\n\nReinvent 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.\n\nWork 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.\n\nBacked 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.\n\nBuild 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.\n\n\nEQUAL OPPORTUNITY\n\nHippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.\n\nPlease be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com http://hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process."},{"id":"7f0736ef-49ba-44a8-a734-bf26b643a690","title":"Staff Applied Scientist, Reinforcement Learning","department":"Research & Development","team":"LLM Engineering & Sciences","employmentType":"FullTime","location":"Menlo Park, CA","secondaryLocations":[],"publishedAt":"2026-07-28T23:52:58.427+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Menlo Park"}},"jobUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/7f0736ef-49ba-44a8-a734-bf26b643a690","applyUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/7f0736ef-49ba-44a8-a734-bf26b643a690/application","descriptionHtml":"As HAI's LLM Post-Training Staff Applied Scientist, you will own the reinforcement learning and on-policy distillation pipeline that transforms raw model capability into reliable, safe clinical behavior. Your post-training methods will directly determine how our AI agents reason through complex clinical scenarios, handle safety-critical decisions, and ultimately impact millions of patient interactions. This role exists because post-training is where capability becomes trustworthiness—and in healthcare, that's everything.
Own your first major outcome: By day 90, you will have shipped a post-training improvement that meaningfully advances model performance on a critical clinical capability (clinical reasoning, safety alignment, or task completion), evaluated the gains rigorously, and contributed that learning to our post-training roadmap.
Drive lasting impact: At 12 months, you will have designed and shipped multiple post-training methods that measurably improve our models' clinical safety and reasoning, built reusable infrastructure (reward models, verifiers, evaluation frameworks) that accelerate future post-training work, published your research or contributed to HAI's intellectual property, and directly shaped how our deployed models behave in production healthcare environments.
You'll work alongside ML researchers, engineers, clinicians, and safety experts who are obsessed with building trustworthy AI. This is a highly technical team that values rigor, collaboration across disciplines, and solving the hardest problems in AI safety and alignment. You'll have direct influence on model architecture and training decisions.
Design and implement RL and OPD post-training methods including RLHF, RLVR, on-policy distillation, and novel approaches tailored to healthcare AI—selecting the right methods for different clinical reasoning and safety challenges
Build and evaluate reward models, verifiers, and LLM-as-judge pipelines that provide reliable training signals for post-training, ensuring they capture what truly matters in clinical contexts (accuracy, safety, patient experience)
Develop conversational AI environments and simulations for healthcare RL training—creating synthetic clinical scenarios and datasets that enable safe, scalable post-training without relying solely on human feedback
Automate post-training research loops using agents and tooling to systematically explore hyperparameters, methods, and data strategies—turning post-training into a scientific, reproducible process
Run rigorous experiments and analysis to understand what drives post-training gains, isolate the contributions of different components, and build intuition about what works in healthcare contexts
Collaborate with research, engineering, and clinical teams to translate clinical requirements into post-training objectives, validate improvements against real-world metrics, and scale successful methods to production
We believe the best ideas happen together. To support fast collaboration and a strong team culture, this role is expected to be in our Menlo Park office five days a week, unless otherwise specified.
Required Qualifications
Master's degree in Computer Science, Machine Learning, or a related field
5+ years of professional experience in NLP, LLM training, or reinforcement learning
2+ years of hands-on experience with RL for LLM post-training
Proficiency in Python and PyTorch for large-scale training
Demonstrated experience with RLHF, RLVR, LLM-as-judge, or similar post-training methods
Experience training or fine-tuning models at scale (50B+ parameters)
Preferred Qualifications
Publications at top-tier ML venues (NeurIPS, ICML, ICLR, ACL, EMNLP)
Healthcare or regulated domain experience
Experience with distributed training frameworks (FSDP, DeepSpeed, vLLM)
Familiarity with safety alignment and interpretability research
Our comprehensive compensation package is designed to reward your expertise and includes both a competitive base salary and valuable stock options. Individual offers are determined based on a variety of factors, including your professional experience, core competencies, and geographic location.
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.
Hippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.
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.
","descriptionPlain":"ROLE MISSION\n\nAs HAI's LLM Post-Training Staff Applied Scientist, you will own the reinforcement learning and on-policy distillation pipeline that transforms raw model capability into reliable, safe clinical behavior. Your post-training methods will directly determine how our AI agents reason through complex clinical scenarios, handle safety-critical decisions, and ultimately impact millions of patient interactions. This role exists because post-training is where capability becomes trustworthiness—and in healthcare, that's everything.\n\n\nWHAT YOU WILL ACCOMPLISH\n\nOwn your first major outcome: By day 90, you will have shipped a post-training improvement that meaningfully advances model performance on a critical clinical capability (clinical reasoning, safety alignment, or task completion), evaluated the gains rigorously, and contributed that learning to our post-training roadmap.\n\nDrive lasting impact: At 12 months, you will have designed and shipped multiple post-training methods that measurably improve our models' clinical safety and reasoning, built reusable infrastructure (reward models, verifiers, evaluation frameworks) that accelerate future post-training work, published your research or contributed to HAI's intellectual property, and directly shaped how our deployed models behave in production healthcare environments.\n\n\nTHE TEAM\n\nYou'll work alongside ML researchers, engineers, clinicians, and safety experts who are obsessed with building trustworthy AI. This is a highly technical team that values rigor, collaboration across disciplines, and solving the hardest problems in AI safety and alignment. You'll have direct influence on model architecture and training decisions.\n\n\nWHAT YOU'LL DO\n\n - Design and implement RL and OPD post-training methods including RLHF, RLVR, on-policy distillation, and novel approaches tailored to healthcare AI—selecting the right methods for different clinical reasoning and safety challenges\n\n - Build and evaluate reward models, verifiers, and LLM-as-judge pipelines that provide reliable training signals for post-training, ensuring they capture what truly matters in clinical contexts (accuracy, safety, patient experience)\n\n - Develop conversational AI environments and simulations for healthcare RL training—creating synthetic clinical scenarios and datasets that enable safe, scalable post-training without relying solely on human feedback\n\n - Automate post-training research loops using agents and tooling to systematically explore hyperparameters, methods, and data strategies—turning post-training into a scientific, reproducible process\n\n - Run rigorous experiments and analysis to understand what drives post-training gains, isolate the contributions of different components, and build intuition about what works in healthcare contexts\n\n - Collaborate with research, engineering, and clinical teams to translate clinical requirements into post-training objectives, validate improvements against real-world metrics, and scale successful methods to production\n\n\nLOCATION REQUIREMENT\n\nWe believe the best ideas happen together. To support fast collaboration and a strong team culture, this role is expected to be in our Menlo Park office five days a week, unless otherwise specified.\n\nRequired Qualifications\n\n - Master's degree in Computer Science, Machine Learning, or a related field\n\n - 5+ years of professional experience in NLP, LLM training, or reinforcement learning\n\n - 2+ years of hands-on experience with RL for LLM post-training\n\n - Proficiency in Python and PyTorch for large-scale training\n\n - Demonstrated experience with RLHF, RLVR, LLM-as-judge, or similar post-training methods\n\n - Experience training or fine-tuning models at scale (50B+ parameters)\n\nPreferred Qualifications\n\n - Publications at top-tier ML venues (NeurIPS, ICML, ICLR, ACL, EMNLP)\n\n - Healthcare or regulated domain experience\n\n - Experience with distributed training frameworks (FSDP, DeepSpeed, vLLM)\n\n - Familiarity with safety alignment and interpretability research\n\nOur comprehensive compensation package is designed to reward your expertise and includes both a competitive base salary and valuable stock options. Individual offers are determined based on a variety of factors, including your professional experience, core competencies, and geographic location.\n\n\nWHY JOIN HIPPOCRATIC AI\n\nReinvent 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.\n\nWork 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.\n\nBacked 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.\n\nBuild 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.\n\n\nEQUAL OPPORTUNITY\n\nHippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.\n\nPlease be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com http://hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process."},{"id":"de54f13a-3290-4ba5-8a49-2ecc8f8a4714","title":"Social Media and Communications Strategist","department":"Sales & Marketing","team":"Marketing","employmentType":"FullTime","location":"Menlo Park, CA","secondaryLocations":[],"publishedAt":"2026-07-27T22:26:23.555+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Menlo Park"}},"jobUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/de54f13a-3290-4ba5-8a49-2ecc8f8a4714","applyUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/de54f13a-3290-4ba5-8a49-2ecc8f8a4714/application","descriptionHtml":"If you live on social, have great taste, can cut a video on your phone before lunch and finish a polished LinkedIn newsletter after, are fierce about metrics and tracking what works, and want to help shape the voice of one of the most exciting companies in AI and healthcare, this role is for you.
What You'll Do
Launch and manage social channels. Launch and manage HAI's social channels, create compelling content for every channel (including LinkedIn), and set the social media cadence. Use LinkedIn as the flagship, keep a smart, light touch on X, and evaluate and launch new channels and formats (including short-form video) where our audiences are.
Run the social calendar. Own a unified content calendar across the company's and CEO's channels. Plan ahead around product launches, marketing moments, conferences, and earned-media hits, and stay nimble enough to react in hours, not weeks.
Build the right team of agents and AI solutions to support cross-functional social media. We're an AI-forward company building teams of agents, so you can focus on the creativity and judgment the work needs.
Monitor the conversation and recommend where HAI engages. Track the top conversations, voices, and trends in healthcare, AI, and technology. Deliver a regular brief that covers what's trending, who's driving it, share of voice versus peers, emerging risks, and the specific moments where HAI should comment, post, or stay quiet. Build an engagement playbook that defines which topics we own, which we join, and which we avoid, and flag issues early to the CCO.
Partner with the CCO to support CEO presence. Create content in the CEO's voice, manage the publishing cadence, monitor comments, and surface engagement opportunities under the CCO's guidance.
Build and run our influencer and KOL program. Identify, map, and build relationships with key opinion leaders, including clinicians, health system leaders, nurses, patient advocates, AI researchers, policy voices, and creators. Develop tiered engagement plans covering co-created content, amplification, event and conference moments, advisory voices, and executive-to-KOL engagement. Track relationship health and impact over time.
Source stories from across the company. Partner with sales, customer success, and clinical teams to develop content from customer wins, use cases, product milestones, and team highlights such as new hires, promotions, and culture moments.
Create on-brand content. Design graphics in Canva and Figma, edit short-form video natively or with editing tools, and write copy that sounds like us. Coordinate with our lead designer to keep every asset on brand.
Support broader comms and marketing. Help draft sales documents, one-pagers, and supporting content, and pitch in on light design and editing for the comms and marketing teams as needed.
Measure and report. Track performance across channels, including reach, engagement, share of voice, sentiment, and KOL impact. Learn what's working and bring sharp recommendations on where to lean in.
Location Requirement
We believe the best ideas happen together. To support fast collaboration and a strong team culture, this role is expected to be in our Menlo Park office five days a week.
7–10 years of professional social media and communications experience in a corporate environment, an AI start-up, or a marketing and communications agency.
A bachelor's degree.
Native fluency in LinkedIn, X, and emerging platforms. You understand the unwritten rules of each and can name the accounts setting the bar.
Strong writing skills and a feel for voice, especially the difference between a CEO post and a brand post.
Comfort designing in Canva or Figma. You can produce a clean graphic, social tile, or simple template without waiting on design.
Experience using Claude, Claude Code, OpenAI, or similar tools to build skills or agents that support your work and create content.
Ability to shoot and edit short-form video on mobile or with lightweight editing tools.
A proven ability to identify and engage influencers and KOLs, and to turn those relationships into reach and credibility.
Hands-on experience with social listening and analytics tools (Sprout, Brandwatch, Meltwater, native analytics, etc.), and the judgment to turn signal into a clear recommendation.
Project management instincts. You can run a calendar, juggle stakeholders, and ship on a tight timeline.
A bias toward action and great judgment. You can move fast on a trend without putting the brand at risk.
Real interest in healthcare, AI, or both. You don't need to be an expert, but you do need to be curious.
Experience launching a social channel or short-form video program from scratch.
Existing relationships with healthcare creators, clinician influencers, health system leaders, or AI commentators.
Experience supporting an executive's personal brand.
Familiarity with regulated or healthcare-adjacent communications.
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.
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.
Hippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.
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.
","descriptionPlain":"WE'RE LOOKING FOR A SHARP, AMBITIOUS SOCIAL MEDIA AND COMMUNICATIONS STRATEGIST TO OWN AND RUN OUR ENTIRE SOCIAL STACK. YOU'LL USE AI AGENTS AND BEST-IN-CLASS TECHNOLOGY TO PRODUCE POLISHED CONTENT THAT RESONATES. THE ROLE COVERS A LOT OF GROUND. YOU'LL MANAGE OUR SOCIAL CHANNELS TOP TO BOTTOM, CREATING CONTENT, SUPPORTING CEO AND EXECUTIVE VOICE, SETTING CADENCE, AND MAKING SURE EVERY PRODUCT LAUNCH, CUSTOMER WIN, AND HEADLINE IS AMPLIFIED ON THE CHANNELS THAT MATTER. YOU'LL ALSO TRACK THE CONVERSATIONS SHAPING HEALTHCARE, AI, AND TECHNOLOGY, AND RECOMMEND WHERE HAI SHOULD SHOW UP AND ENGAGE. YOU'LL WORK HAND-IN-HAND WITH OUR CHIEF COMMUNICATIONS OFFICER AND STAY PLUGGED INTO MARKETING, SALES, CUSTOMER SUCCESS, AND DESIGN, SO THE BEST STORIES AT HAI ACTUALLY MAKE IT INTO THE FEED.\n\n\n\nIf you live on social, have great taste, can cut a video on your phone before lunch and finish a polished LinkedIn newsletter after, are fierce about metrics and tracking what works, and want to help shape the voice of one of the most exciting companies in AI and healthcare, this role is for you. \n\nWhat You'll Do\n\n - Launch and manage social channels. Launch and manage HAI's social channels, create compelling content for every channel (including LinkedIn), and set the social media cadence. Use LinkedIn as the flagship, keep a smart, light touch on X, and evaluate and launch new channels and formats (including short-form video) where our audiences are.\n\n - Run the social calendar. Own a unified content calendar across the company's and CEO's channels. Plan ahead around product launches, marketing moments, conferences, and earned-media hits, and stay nimble enough to react in hours, not weeks.\n\n - Build the right team of agents and AI solutions to support cross-functional social media. We're an AI-forward company building teams of agents, so you can focus on the creativity and judgment the work needs.\n\n - Monitor the conversation and recommend where HAI engages. Track the top conversations, voices, and trends in healthcare, AI, and technology. Deliver a regular brief that covers what's trending, who's driving it, share of voice versus peers, emerging risks, and the specific moments where HAI should comment, post, or stay quiet. Build an engagement playbook that defines which topics we own, which we join, and which we avoid, and flag issues early to the CCO.\n\n - Partner with the CCO to support CEO presence. Create content in the CEO's voice, manage the publishing cadence, monitor comments, and surface engagement opportunities under the CCO's guidance.\n\n - Build and run our influencer and KOL program. Identify, map, and build relationships with key opinion leaders, including clinicians, health system leaders, nurses, patient advocates, AI researchers, policy voices, and creators. Develop tiered engagement plans covering co-created content, amplification, event and conference moments, advisory voices, and executive-to-KOL engagement. Track relationship health and impact over time.\n\n - Source stories from across the company. Partner with sales, customer success, and clinical teams to develop content from customer wins, use cases, product milestones, and team highlights such as new hires, promotions, and culture moments.\n\n - Create on-brand content. Design graphics in Canva and Figma, edit short-form video natively or with editing tools, and write copy that sounds like us. Coordinate with our lead designer to keep every asset on brand.\n\n - Support broader comms and marketing. Help draft sales documents, one-pagers, and supporting content, and pitch in on light design and editing for the comms and marketing teams as needed.\n\n - Measure and report. Track performance across channels, including reach, engagement, share of voice, sentiment, and KOL impact. Learn what's working and bring sharp recommendations on where to lean in.\n\nLocation Requirement\n\nWe believe the best ideas happen together. To support fast collaboration and a strong team culture, this role is expected to be in our Menlo Park office five days a week.\n\n \n\n\nWHAT YOU BRING\n\n\nMUST HAVE\n\n - 7–10 years of professional social media and communications experience in a corporate environment, an AI start-up, or a marketing and communications agency.\n\n - A bachelor's degree.\n\n - Native fluency in LinkedIn, X, and emerging platforms. You understand the unwritten rules of each and can name the accounts setting the bar.\n\n - Strong writing skills and a feel for voice, especially the difference between a CEO post and a brand post.\n\n - Comfort designing in Canva or Figma. You can produce a clean graphic, social tile, or simple template without waiting on design.\n\n - Experience using Claude, Claude Code, OpenAI, or similar tools to build skills or agents that support your work and create content.\n\n - Ability to shoot and edit short-form video on mobile or with lightweight editing tools.\n\n - A proven ability to identify and engage influencers and KOLs, and to turn those relationships into reach and credibility.\n\n - Hands-on experience with social listening and analytics tools (Sprout, Brandwatch, Meltwater, native analytics, etc.), and the judgment to turn signal into a clear recommendation.\n\n - Project management instincts. You can run a calendar, juggle stakeholders, and ship on a tight timeline.\n\n - A bias toward action and great judgment. You can move fast on a trend without putting the brand at risk.\n\n - Real interest in healthcare, AI, or both. You don't need to be an expert, but you do need to be curious.\n\n\nNICE TO HAVE\n\n - Experience launching a social channel or short-form video program from scratch.\n\n - Existing relationships with healthcare creators, clinician influencers, health system leaders, or AI commentators.\n\n - Experience supporting an executive's personal brand.\n\n - Familiarity with regulated or healthcare-adjacent communications.\n\nPlease be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com http://hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process.\n\n\nWHY JOIN HIPPOCRATIC AI\n\nReinvent 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.\n\nWork 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.\n\nBacked 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.\n\nBuild 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.\n\n\nEQUAL OPPORTUNITY\n\nHippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.\n\nPlease be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com http://hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process."},{"id":"91baeb31-d293-4b92-b65d-66618f1ac449","title":"Solutions Architect, Inbound AI Deployments","department":"Research & Development","team":"Product","employmentType":"FullTime","location":"United States","secondaryLocations":[],"publishedAt":"2026-08-04T14:22:35.130+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/91baeb31-d293-4b92-b65d-66618f1ac449","applyUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/91baeb31-d293-4b92-b65d-66618f1ac449/application","descriptionHtml":"This is a Solutions Architect, Inbound AI Deployments role. You're not executing deployments; you're defining how everyone else executes them. You're writing the playbook that our deployment strategists and engineers will follow for the next 50 customer engagements. You're designing the repeatable system that scales us from one-off successes to a replicable, differentiated offering.
This role reports directly to the CPO. You'll split your time between health system partnerships (understanding what works in the real world), product engineering collaboration (ensuring what you design is buildable), and internal enablement (teaching your frameworks to the deployment team).
Inbound AI Methodology Defined: You've synthesized best practices from 5+ health system deployments into a clear, documented methodology for inbound AI in healthcare. This becomes the Hippocratic AI standard—how we approach every inbound deployment from discovery forward.
Repeatable Configuration Framework: You've designed the configuration architecture (decision tree patterns, IVR logic flows, provider directory mapping, escalation rules) that deployment strategists and FDEs will use repeatedly. It's documented, tested, and proven across 3+ customer deployments.
Deployment Playbook: You've codified the end-to-end deployment model: discovery, configuration, testing, go-live, iteration. This becomes the playbook that deployment teams execute on every inbound engagement.
Customer Learnings Synthesized: You've worked hands-on with 5-7 health systems and health plans on their inbound AI deployments. You've labeled decision trees, configured IVR logic, and validated configurations against real patient call patterns. You understand what works, what doesn't, and why.
Product Requirements Translated: You've translated patient access workflows into crisp product requirements and configuration standards. You've submitted 3-5 feature requests to the Front Door product team—each one addressing a scaling constraint you discovered in the field.
Engineering Partnership Established: You've built credibility with the Front Door product and engineering teams. They see you as the voice of inbound deployment reality. Product roadmap priorities reflect your input.
Enablement & Documentation: You've created the frameworks, decision trees, configuration templates, and documentation that deployment strategists and FDEs will use to execute inbound deployments without you. Training is documented. Patterns are replicable.
Competitive Differentiation: You've identified what makes Hippocratic AI's inbound approach different/better than Hyro, Orbita, Nuance, Notable, Fabric. You've articulated this in customer conversations and product strategy.
Scaling Signal: Your methodology and frameworks have been used by 3-4 other deployment team members. They're not coming back to you with \"how do I...?\" questions; they're following your playbook and executing successfully.
Inbound AI Methodology & Framework Design: Define the core methodology for inbound AI configuration, decision tree architecture, IVR logic, and provider directory setup. This becomes the standard the entire organization follows. Design repeatable patterns for call center workflows, patient access scenarios, and escalation logic that apply across different health systems and health plans. Document your methodology in clear, usable frameworks that deployment teams can execute without continuous guidance from you. Continuously refine the methodology based on learnings from new deployments and customer feedback.
Customer Implementation & Requirements Translation: Partner directly with 5-7 health system and health plan customers on inbound AI deployments. Spend significant time in configuration sessions, validation work, and go-live support. Translate patient access, call center, and inbound workflows into crisp product requirements and configuration standards that scale beyond individual deployments. Identify where your methodology breaks or needs refinement. Feed learnings back into the framework. Validate that configurations perform correctly against real patient call patterns and business metrics.
Product & Engineering Partnership: Work closely with the Front Door product and engineering teams to ensure the methodology you define is technically sound and buildable at scale. Identify product gaps, configuration constraints, and feature requests based on deployment learnings. Prioritize ruthlessly—what unlocks the most scaling? Influence product roadmap priorities based on deployment reality (not just customer requests). Collaborate on product design for inbound features; ensure they're built with deployment scalability in mind.
Deployment Team Enablement: Codify your methodology into frameworks, playbooks, decision tree templates, and training materials that deployment strategists and FDEs will rely on. Train deployment team members on your methodology, frameworks, and best practices. Create documentation that answers \"how do I configure X?\" so deployment teams can execute independently. Build a knowledge base and community of practice around inbound deployments.
Strategic Vision & Competitive Positioning: Define what makes Hippocratic AI's inbound approach differentiated vs. competitors (Hyro, Orbita, Nuance, Notable, Fabric). Articulate the strategic positioning of our inbound solutions to customers and internally. Identify white space and expansion opportunities in the inbound market (new use cases, new customer types).
BA/BS degree required.
Domain expertise in patient access, call center operations, or inbound workflows. You understand what makes a good call center configuration, what drives call routing decisions, how IVR impacts patient experience, why provider directories matter.
8+ years in inbound/patient access technology or healthcare operations. You've spent significant time in or around call centers, patient access workflows, IVR systems, or inbound healthcare technology. You understand the pain.
Deep hands-on experience with inbound AI or contact center automation. You've personally configured IVR systems, designed decision trees, or deployed call center AI solutions. You've labeled data, tested configurations, validated performance. You know how to make it work in practice.
Proven track record building repeatable systems. You don't just execute one-off projects. You've built frameworks, playbooks, or methodologies that let other people execute consistently after you. People use your work; they don't reinvent it.
Full-lifecycle ownership mindset. You're comfortable owning the entire deployment lifecycle—from customer discovery through configuration, testing, go-live, and iteration. You don't hand off; you see it through.
Product thinking with operational execution. You think strategically about what should be built and how to scale. You also know how to get into the weeds—configuring systems, testing edge cases, debugging issues.
Communication and persuasion skills. You can explain complex inbound workflows to non-technical customers. You can articulate product requirements to engineers. You can align teams around a methodology.
Nice-to-Have
Hands-on experience with inbound digital front door platforms (Hyro, Orbita, Nuance, Syllable, Notable, Fabric).
Background in healthcare operations, health plans, health systems, or patient access.
Experience building configuration tools or internal frameworks that enable others to execute consistently. Familiarity with healthcare data standards (FHIR, HL7) and EHR integration points relevant to inbound workflows.
Prior experience at healthcare AI/SaaS companies or forward-deployed organizations.
Track record of mentoring and enabling other operators to execute frameworks you've built.
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.
Hippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.
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.
","descriptionPlain":"THE OPPORTUNITY\n\nThis is a Solutions Architect, Inbound AI Deployments role. You're not executing deployments; you're defining how everyone else executes them. You're writing the playbook that our deployment strategists and engineers will follow for the next 50 customer engagements. You're designing the repeatable system that scales us from one-off successes to a replicable, differentiated offering.\n\nThis role reports directly to the CPO. You'll split your time between health system partnerships (understanding what works in the real world), product engineering collaboration (ensuring what you design is buildable), and internal enablement (teaching your frameworks to the deployment team).\n\n\nWHAT SUCCESS LOOKS LIKE IN YEAR ONE\n\n - Inbound AI Methodology Defined: You've synthesized best practices from 5+ health system deployments into a clear, documented methodology for inbound AI in healthcare. This becomes the Hippocratic AI standard—how we approach every inbound deployment from discovery forward.\n\n - Repeatable Configuration Framework: You've designed the configuration architecture (decision tree patterns, IVR logic flows, provider directory mapping, escalation rules) that deployment strategists and FDEs will use repeatedly. It's documented, tested, and proven across 3+ customer deployments.\n\n - Deployment Playbook: You've codified the end-to-end deployment model: discovery, configuration, testing, go-live, iteration. This becomes the playbook that deployment teams execute on every inbound engagement.\n\n - Customer Learnings Synthesized: You've worked hands-on with 5-7 health systems and health plans on their inbound AI deployments. You've labeled decision trees, configured IVR logic, and validated configurations against real patient call patterns. You understand what works, what doesn't, and why.\n\n - Product Requirements Translated: You've translated patient access workflows into crisp product requirements and configuration standards. You've submitted 3-5 feature requests to the Front Door product team—each one addressing a scaling constraint you discovered in the field.\n\n - Engineering Partnership Established: You've built credibility with the Front Door product and engineering teams. They see you as the voice of inbound deployment reality. Product roadmap priorities reflect your input.\n\n - Enablement & Documentation: You've created the frameworks, decision trees, configuration templates, and documentation that deployment strategists and FDEs will use to execute inbound deployments without you. Training is documented. Patterns are replicable.\n\n - Competitive Differentiation: You've identified what makes Hippocratic AI's inbound approach different/better than Hyro, Orbita, Nuance, Notable, Fabric. You've articulated this in customer conversations and product strategy.\n\n - Scaling Signal: Your methodology and frameworks have been used by 3-4 other deployment team members. They're not coming back to you with \"how do I...?\" questions; they're following your playbook and executing successfully.\n\n\nYOUR CORE RESPONSIBILITIES\n\n - Inbound AI Methodology & Framework Design: Define the core methodology for inbound AI configuration, decision tree architecture, IVR logic, and provider directory setup. This becomes the standard the entire organization follows. Design repeatable patterns for call center workflows, patient access scenarios, and escalation logic that apply across different health systems and health plans. Document your methodology in clear, usable frameworks that deployment teams can execute without continuous guidance from you. Continuously refine the methodology based on learnings from new deployments and customer feedback.\n\n - Customer Implementation & Requirements Translation: Partner directly with 5-7 health system and health plan customers on inbound AI deployments. Spend significant time in configuration sessions, validation work, and go-live support. Translate patient access, call center, and inbound workflows into crisp product requirements and configuration standards that scale beyond individual deployments. Identify where your methodology breaks or needs refinement. Feed learnings back into the framework. Validate that configurations perform correctly against real patient call patterns and business metrics.\n\n - Product & Engineering Partnership: Work closely with the Front Door product and engineering teams to ensure the methodology you define is technically sound and buildable at scale. Identify product gaps, configuration constraints, and feature requests based on deployment learnings. Prioritize ruthlessly—what unlocks the most scaling? Influence product roadmap priorities based on deployment reality (not just customer requests). Collaborate on product design for inbound features; ensure they're built with deployment scalability in mind.\n\n - Deployment Team Enablement: Codify your methodology into frameworks, playbooks, decision tree templates, and training materials that deployment strategists and FDEs will rely on. Train deployment team members on your methodology, frameworks, and best practices. Create documentation that answers \"how do I configure X?\" so deployment teams can execute independently. Build a knowledge base and community of practice around inbound deployments.\n\n - Strategic Vision & Competitive Positioning: Define what makes Hippocratic AI's inbound approach differentiated vs. competitors (Hyro, Orbita, Nuance, Notable, Fabric). Articulate the strategic positioning of our inbound solutions to customers and internally. Identify white space and expansion opportunities in the inbound market (new use cases, new customer types).\n\n\n\n\n\nWHAT YOU BRING\n\n\nMUST-HAVE\n\n - BA/BS degree required.\n\n - Domain expertise in patient access, call center operations, or inbound workflows. You understand what makes a good call center configuration, what drives call routing decisions, how IVR impacts patient experience, why provider directories matter.\n\n - 8+ years in inbound/patient access technology or healthcare operations. You've spent significant time in or around call centers, patient access workflows, IVR systems, or inbound healthcare technology. You understand the pain.\n\n - Deep hands-on experience with inbound AI or contact center automation. You've personally configured IVR systems, designed decision trees, or deployed call center AI solutions. You've labeled data, tested configurations, validated performance. You know how to make it work in practice.\n\n - Proven track record building repeatable systems. You don't just execute one-off projects. You've built frameworks, playbooks, or methodologies that let other people execute consistently after you. People use your work; they don't reinvent it.\n\n - Full-lifecycle ownership mindset. You're comfortable owning the entire deployment lifecycle—from customer discovery through configuration, testing, go-live, and iteration. You don't hand off; you see it through.\n\n - Product thinking with operational execution. You think strategically about what should be built and how to scale. You also know how to get into the weeds—configuring systems, testing edge cases, debugging issues.\n\n - Communication and persuasion skills. You can explain complex inbound workflows to non-technical customers. You can articulate product requirements to engineers. You can align teams around a methodology.\n\nNice-to-Have\n\n - Hands-on experience with inbound digital front door platforms (Hyro, Orbita, Nuance, Syllable, Notable, Fabric).\n\n - Background in healthcare operations, health plans, health systems, or patient access.\n\n - Experience building configuration tools or internal frameworks that enable others to execute consistently. Familiarity with healthcare data standards (FHIR, HL7) and EHR integration points relevant to inbound workflows.\n\n - Prior experience at healthcare AI/SaaS companies or forward-deployed organizations.\n\n - Track record of mentoring and enabling other operators to execute frameworks you've built.\n\n\n\n\nWHY JOIN HIPPOCRATIC AI\n\nReinvent 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.\n\nWork 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.\n\nBacked 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.\n\nBuild 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.\n\n\nEQUAL OPPORTUNITY\n\nHippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.\n\nPlease be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com http://hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process."},{"id":"d208bbf2-b175-4f50-b789-c6fbe20eed79","title":"RN/NP Clinical Quality Reviewer","department":"Clinical","team":"Clinical","employmentType":"Contract","location":"United States","secondaryLocations":[],"publishedAt":"2026-08-23T21:35:23.757+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/d208bbf2-b175-4f50-b789-c6fbe20eed79","applyUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/d208bbf2-b175-4f50-b789-c6fbe20eed79/application","descriptionHtml":"Primary Care, Acute Symptom Triage & Travel Health | Contract, up to 25 hrs/week
We are seeking Nurses & Nurse Practitioners with clinical experience in one or more of the following areas:
Telephone or virtual acute symptom triage
Hypertension and congestive heart failure (CHF) management
Medication titration for hypertension and/or CHF
Diabetes management and insulin titration
Travel health
to serve as a subject matter expert supporting the evaluation of AI-driven clinical agents. In this role, you will evaluate agent conversations and recommendations spanning acute symptom triage and escalation decisions, insulin/diabetes titration, and pre-travel health guidance, ensuring clinical accuracy, guideline adherence, and patient safety. This is a part-time, remote contract position (1099) requiring up to 25 hours per week, with flexible scheduling.
Review recorded and simulated AI agent interactions involving acute symptom triage and assess the appropriateness of triage, escalation, and de-escalation decisions.
Evaluate AI agent conversations involving hypertension and CHF management, including medication titration, for clinical accuracy and adherence to evidence-based protocols.
Review agent conversations related to diabetes management and insulin titration for clinical accuracy and guideline adherence.
Evaluate agent-delivered travel health guidance, including pre-travel counseling, vaccination recommendations, and destination-specific risk assessment.
Review AI agent calls for adherence to established clinical protocols and appropriate medical management.
Score and annotate agent performance using structured evaluation rubrics.
Perform clinical data annotation by rewriting or correcting AI agent responses to align with evidence-based protocols and clinical practice guidelines.
Identify clinical safety concerns, inappropriate recommendations, edge cases, and gaps in agent clinical reasoning.
Provide clear, actionable written feedback to clinical and product teams to inform agent refinement.
Participate in periodic case review and calibration sessions with other clinical SMEs to ensure consistent evaluation standards.
Help develop and refine test scenarios used in ongoing agent quality assurance.
Registered Nurses: Active, unrestricted RN license in the United States.
Nurse Practitioners: Active, unrestricted NP license in the United States, with current board certification (ANCC or AANP).
Hands-on professional experience conducting protocol-based virtual or telephone clinical triage; and/or
Hands-on clinical experience directly managing patients with hypertension and/or congestive heart failure (CHF).
For candidates with hypertension/CHF management experience, hands-on experience prescribing, adjusting, or titrating medications for these patients.
Strong working knowledge of evidence-based protocols and clinical practice guidelines relevant to acute triage and/or hypertension and CHF management.
It is not a requirement that candidates have all of the recommended criteria
Experience in telephone triage or nurse advice line settings.
Experience in travel medicine, occupational health, or pre-travel consultation.
Familiarity with CDC and other travel medicine guidelines.
Prior experience in clinical quality assurance, utilization review, or case review.
Familiarity with AI-assisted clinical tools or digital health platforms.
Contract (1099) position, up to 25 hours per week.
Fully remote; flexible scheduling.
Hourly compensation, commensurate with experience.
Engagement expected to run in support of ongoing agent development and FDA evaluation milestones.
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.
Hippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.
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.
","descriptionPlain":"RN/NP CLINICAL QUALITY REVIEWER\n\nPrimary Care, Acute Symptom Triage & Travel Health | Contract, up to 25 hrs/week\n\n\nABOUT THE ROLE\n\nWe are seeking Nurses & Nurse Practitioners with clinical experience in one or more of the following areas:\n\n - Telephone or virtual acute symptom triage\n\n - Hypertension and congestive heart failure (CHF) management\n\n - Medication titration for hypertension and/or CHF\n\n - Diabetes management and insulin titration\n\n - Travel health\n\nto serve as a subject matter expert supporting the evaluation of AI-driven clinical agents. In this role, you will evaluate agent conversations and recommendations spanning acute symptom triage and escalation decisions, insulin/diabetes titration, and pre-travel health guidance, ensuring clinical accuracy, guideline adherence, and patient safety. This is a part-time, remote contract position (1099) requiring up to 25 hours per week, with flexible scheduling.\n\n\nKEY RESPONSIBILITIES\n\n - Review recorded and simulated AI agent interactions involving acute symptom triage and assess the appropriateness of triage, escalation, and de-escalation decisions.\n\n - Evaluate AI agent conversations involving hypertension and CHF management, including medication titration, for clinical accuracy and adherence to evidence-based protocols.\n\n - Review agent conversations related to diabetes management and insulin titration for clinical accuracy and guideline adherence.\n\n - Evaluate agent-delivered travel health guidance, including pre-travel counseling, vaccination recommendations, and destination-specific risk assessment.\n\n - Review AI agent calls for adherence to established clinical protocols and appropriate medical management.\n\n - Score and annotate agent performance using structured evaluation rubrics.\n\n - Perform clinical data annotation by rewriting or correcting AI agent responses to align with evidence-based protocols and clinical practice guidelines.\n\n - Identify clinical safety concerns, inappropriate recommendations, edge cases, and gaps in agent clinical reasoning.\n\n - Provide clear, actionable written feedback to clinical and product teams to inform agent refinement.\n\n - Participate in periodic case review and calibration sessions with other clinical SMEs to ensure consistent evaluation standards.\n\n - Help develop and refine test scenarios used in ongoing agent quality assurance.\n\n\nQUALIFICATIONS\n\n - Registered Nurses: Active, unrestricted RN license in the United States.\n\n - Nurse Practitioners: Active, unrestricted NP license in the United States, with current board certification (ANCC or AANP).\n\n - Hands-on professional experience conducting protocol-based virtual or telephone clinical triage; and/or\n\n - Hands-on clinical experience directly managing patients with hypertension and/or congestive heart failure (CHF).\n\n - For candidates with hypertension/CHF management experience, hands-on experience prescribing, adjusting, or titrating medications for these patients.\n\n - Strong working knowledge of evidence-based protocols and clinical practice guidelines relevant to acute triage and/or hypertension and CHF management.\n\n\nRECOMMENDED\n\nIt is not a requirement that candidates have all of the recommended criteria\n\n - Experience in telephone triage or nurse advice line settings.\n\n - Experience in travel medicine, occupational health, or pre-travel consultation.\n\n - Familiarity with CDC and other travel medicine guidelines.\n\n - Prior experience in clinical quality assurance, utilization review, or case review.\n\n - Familiarity with AI-assisted clinical tools or digital health platforms.\n\n\nENGAGEMENT DETAILS\n\n - Contract (1099) position, up to 25 hours per week.\n\n - Fully remote; flexible scheduling.\n\n - Hourly compensation, commensurate with experience.\n\n - Engagement expected to run in support of ongoing agent development and FDA evaluation milestones.\n\n\nWHY JOIN HIPPOCRATIC AI\n\nReinvent 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.\n\nWork 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.\n\nBacked 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.\n\nBuild 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.\n\n\nEQUAL OPPORTUNITY\n\nHippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.\n\nPlease be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com http://hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process."},{"id":"2f70a216-4f8b-42cd-80d3-43383e1a0be8","title":"Vice President, Customer Success (Seattle, WA)","department":"Sales & Marketing","team":"Sales","employmentType":"FullTime","location":"United States","secondaryLocations":[],"publishedAt":"2026-08-23T16:08:58.754+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/2f70a216-4f8b-42cd-80d3-43383e1a0be8","applyUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/2f70a216-4f8b-42cd-80d3-43383e1a0be8/application","descriptionHtml":"As VP of Customer Success for Payors at Hippocratic AI, you will build and lead high-performing teams that drive satisfaction, retention, and expansion across our health plan and managed care customers. You'll establish the systems, processes, and culture that enable customer success at scale—designing the playbooks and team structures that transform how health plans achieve value from our AI platform. This role exists because health plans are deploying breakthrough AI at scale, and they need a dedicated, expert-led customer success organization that speaks their language, understands their complexity, and delivers measurable impact on their most critical metrics.
Own your first major outcome: By day 90, you will have completed a diagnostic of your payer customer base and success metrics, established your CS team's operating framework and KPIs, recruited and onboarded your first CS leaders and specialists, and shipped measurable improvements in customer retention or satisfaction for your most strategic accounts.
Drive lasting impact: At 12 months, you will have scaled your payer CS team from concept to fully functional, high-performing organization, established replicable playbooks for payer onboarding and success management, grown net revenue retention across your payer book of business to 110%+, positioned payer customers as visible advocates for Hippocratic AI in the industry, and proven out the payer CS model that can scale across the organization.
You'll build and lead a dedicated payer customer success organization—recruiting and developing CS Executives, CS Leaders, technical support specialists, and implementation experts. You'll partner closely with Product, Engineering, Clinical, and Sales teams to ensure payer needs drive organizational priorities. You'll work embedded with major health plan customers while building the infrastructure that scales CS capability across Hippocratic AI.
Build and lead a world-class payer CS team by partnering with Talent Acquisition to recruit, onboard, mentor, and develop customer success executives, CS leaders, technical specialists, and implementation experts—creating systems and processes that enable rapid scaling with excellence
Develop and execute a comprehensive payer customer success strategy aligned with Hippocratic AI's mission and business objectives, tailored to the unique operating models, regulatory environment, and success metrics of health plans and managed care organizations
Establish and nurture trusted relationships with health plans, managed care organizations, PBMs, and other payer entities at executive and operational levels—positioning Hippocratic AI as a strategic partner in their value-based care and operational transformation initiatives
Drive customer retention and expansion across payer use cases (utilization management, member engagement, care management, prior authorization)—identifying upsell and cross-sell opportunities while maintaining strong net revenue retention (NRR)
Serve as the voice of the payer customer within the organization, working cross-functionally with Product, Engineering, and Clinical teams to channel payer feedback into product evolution and go-to-market strategy
Implement and refine customer success metrics and processes tailored to payer KPIs—HEDIS/STARS performance, medical loss ratio (MLR) impact, member satisfaction, per-member-per-month cost trends, and operational efficiency gains
Act as escalation point for complex payer customer issues, ensuring timely and effective resolution while navigating payer organizational structures and compliance requirements
Navigate payer ecosystem complexities—regulatory requirements (CMS, NCQA, state Department of Insurance), delegated arrangements, network management, and claims/benefits administration workflows—positioning our solutions as aligned with payer strategic priorities
This is an onsite role based in Seattle, Washington area, with five days per week at the client site and occasional travel to Hippocratic AI headquarters (Menlo Park, CA) for strategic planning and team sessions.
Compensation is based on experience, expertise, and level of responsibility. We offer competitive packages that reflect the role's seniority and scope, along with equity, health insurance, and other benefits.
Bachelor's degree from an accredited university
10–15 years of professional experience in customer success, account management, or related leadership roles within the payer/health plan industry, with 7+ years in customer-facing leadership positions
Proven track record driving customer success in B2B SaaS or healthcare technology companies serving payer organizations, with demonstrated ability to hit KPIs and drive revenue growth
Deep understanding of the payer/health plan industry including managed care operations, utilization management, care management, claims processing, network management, and regulatory frameworks (CMS, NCQA, state Department of Insurance)
Demonstrated experience working with health plan stakeholders across medical management, population health, quality, IT, and C-suite leadership—translating between clinical, operational, and executive perspectives
Exceptional interpersonal and communication skills with proven ability to influence and inspire cross-functional teams, customers, and senior executives
Data-driven mindset with hands-on experience leveraging payer-specific metrics and analytics (HEDIS/STARS, MLR, per-member-per-month cost trends) to inform strategy and decision-making
Proven experience scaling customer success teams and processes in high-growth startup or scaling technology environments
Deep understanding of workflows within health plans and managed care organizations, with demonstrated ability to align AI solutions to payer operational processes and business priorities
MBA, MHA, or advanced degree in Business, Healthcare Administration, or related field
Demonstrated thought leadership in the payer industry, including speaking at major payer conferences (AHIP, RISE, AMCP) or industry forums
Hands-on familiarity with AI-based solutions and their application in payer operations—prior authorization automation, member outbound engagement, clinical decision support
Experience with value-based care models and payer-provider collaboration initiatives
Existing relationships with senior leaders at major national and regional health plans
Track record building customer success organizations from the ground up in emerging categories
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.
Hippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.
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.
","descriptionPlain":"ROLE MISSION\n\nAs VP of Customer Success for Payors at Hippocratic AI, you will build and lead high-performing teams that drive satisfaction, retention, and expansion across our health plan and managed care customers. You'll establish the systems, processes, and culture that enable customer success at scale—designing the playbooks and team structures that transform how health plans achieve value from our AI platform. This role exists because health plans are deploying breakthrough AI at scale, and they need a dedicated, expert-led customer success organization that speaks their language, understands their complexity, and delivers measurable impact on their most critical metrics.\n\n\n\n\nWHAT YOU WILL ACCOMPLISH\n\nOwn your first major outcome: By day 90, you will have completed a diagnostic of your payer customer base and success metrics, established your CS team's operating framework and KPIs, recruited and onboarded your first CS leaders and specialists, and shipped measurable improvements in customer retention or satisfaction for your most strategic accounts.\n\nDrive lasting impact: At 12 months, you will have scaled your payer CS team from concept to fully functional, high-performing organization, established replicable playbooks for payer onboarding and success management, grown net revenue retention across your payer book of business to 110%+, positioned payer customers as visible advocates for Hippocratic AI in the industry, and proven out the payer CS model that can scale across the organization.\n\n\n\n\nTHE TEAM\n\nYou'll build and lead a dedicated payer customer success organization—recruiting and developing CS Executives, CS Leaders, technical support specialists, and implementation experts. You'll partner closely with Product, Engineering, Clinical, and Sales teams to ensure payer needs drive organizational priorities. You'll work embedded with major health plan customers while building the infrastructure that scales CS capability across Hippocratic AI.\n\n\n\n\nWHAT YOU'LL DO\n\n - Build and lead a world-class payer CS team by partnering with Talent Acquisition to recruit, onboard, mentor, and develop customer success executives, CS leaders, technical specialists, and implementation experts—creating systems and processes that enable rapid scaling with excellence\n\n - Develop and execute a comprehensive payer customer success strategy aligned with Hippocratic AI's mission and business objectives, tailored to the unique operating models, regulatory environment, and success metrics of health plans and managed care organizations\n\n - Establish and nurture trusted relationships with health plans, managed care organizations, PBMs, and other payer entities at executive and operational levels—positioning Hippocratic AI as a strategic partner in their value-based care and operational transformation initiatives\n\n - Drive customer retention and expansion across payer use cases (utilization management, member engagement, care management, prior authorization)—identifying upsell and cross-sell opportunities while maintaining strong net revenue retention (NRR)\n\n - Serve as the voice of the payer customer within the organization, working cross-functionally with Product, Engineering, and Clinical teams to channel payer feedback into product evolution and go-to-market strategy\n\n - Implement and refine customer success metrics and processes tailored to payer KPIs—HEDIS/STARS performance, medical loss ratio (MLR) impact, member satisfaction, per-member-per-month cost trends, and operational efficiency gains\n\n - Act as escalation point for complex payer customer issues, ensuring timely and effective resolution while navigating payer organizational structures and compliance requirements\n\n - Navigate payer ecosystem complexities—regulatory requirements (CMS, NCQA, state Department of Insurance), delegated arrangements, network management, and claims/benefits administration workflows—positioning our solutions as aligned with payer strategic priorities\n\n\nLOCATION REQUIREMENT\n\nThis is an onsite role based in Seattle, Washington area, with five days per week at the client site and occasional travel to Hippocratic AI headquarters (Menlo Park, CA) for strategic planning and team sessions.\n\n\n\n\nCOMPENSATION\n\nCompensation is based on experience, expertise, and level of responsibility. We offer competitive packages that reflect the role's seniority and scope, along with equity, health insurance, and other benefits.\n\n\nREQUIRED QUALIFICATIONS\n\n - Bachelor's degree from an accredited university\n\n - 10–15 years of professional experience in customer success, account management, or related leadership roles within the payer/health plan industry, with 7+ years in customer-facing leadership positions\n\n - Proven track record driving customer success in B2B SaaS or healthcare technology companies serving payer organizations, with demonstrated ability to hit KPIs and drive revenue growth\n\n - Deep understanding of the payer/health plan industry including managed care operations, utilization management, care management, claims processing, network management, and regulatory frameworks (CMS, NCQA, state Department of Insurance)\n\n - Demonstrated experience working with health plan stakeholders across medical management, population health, quality, IT, and C-suite leadership—translating between clinical, operational, and executive perspectives\n\n - Exceptional interpersonal and communication skills with proven ability to influence and inspire cross-functional teams, customers, and senior executives\n\n - Data-driven mindset with hands-on experience leveraging payer-specific metrics and analytics (HEDIS/STARS, MLR, per-member-per-month cost trends) to inform strategy and decision-making\n\n - Proven experience scaling customer success teams and processes in high-growth startup or scaling technology environments\n\n - Deep understanding of workflows within health plans and managed care organizations, with demonstrated ability to align AI solutions to payer operational processes and business priorities\n\n\nPREFERRED QUALIFICATIONS\n\n - MBA, MHA, or advanced degree in Business, Healthcare Administration, or related field\n\n - Demonstrated thought leadership in the payer industry, including speaking at major payer conferences (AHIP, RISE, AMCP) or industry forums\n\n - Hands-on familiarity with AI-based solutions and their application in payer operations—prior authorization automation, member outbound engagement, clinical decision support\n\n - Experience with value-based care models and payer-provider collaboration initiatives\n\n - Existing relationships with senior leaders at major national and regional health plans\n\n - Track record building customer success organizations from the ground up in emerging categories\n\n\nWHY JOIN HIPPOCRATIC AI\n\nReinvent 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.\n\nWork 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.\n\nBacked 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.\n\nBuild 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.\n\n\nEQUAL OPPORTUNITY\n\nHippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.\n\nPlease be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com http://hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process."},{"id":"0fed168d-b248-4f59-b363-9d02e08e9a64","title":"Vice President, Sales (Pharma/BioTech/MedTech)","department":"Sales & Marketing","team":"Sales","employmentType":"FullTime","location":"United States","secondaryLocations":[],"publishedAt":"2026-08-23T16:37:15.937+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/0fed168d-b248-4f59-b363-9d02e08e9a64","applyUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/0fed168d-b248-4f59-b363-9d02e08e9a64/application","descriptionHtml":"As VP of Sales at Hippocratic AI, you will own enterprise commercial relationships with the world's largest biotech, medtech, and pharmaceutical companies—leading strategic sales cycles that bring breakthrough AI patient engagement solutions to the organizations that matter most. You'll drive toward our 2027 growth goals by closing multi-million-dollar deals with complex, multi-stakeholder organizations while building deep relationships with executive sponsors. This role exists because the life sciences industry is ready to deploy AI at scale, and they need an elite enterprise seller who understands their businesses, speaks their language, and can structure transformative solutions that deliver measurable patient and business outcomes.
Own your first major outcome: By day 90, you will have developed a robust target account list across your segment, built a qualified pipeline with at least 3–5 active conversations at VP/C-suite level, and advanced one deal to decision stage—demonstrating your ability to navigate complex stakeholder environments and close enterprise sales.
Drive lasting impact: At 12 months, you will have closed multiple enterprise deals ($1M+ ACV), achieved or exceeded your revenue quota ($3M+ ARR), built a repeatable sales methodology tailored to your segment, established yourself as a trusted advisor to key accounts, and directly shaped how the world's largest life sciences companies deploy AI to improve patient outcomes at scale.
You'll partner closely with Product, Clinical, ML, and GTM teams to identify use cases, build business cases, and execute enterprise implementations. You'll operate as a field-first hunter—comfortable prospecting, navigating deals independently, and closing complex sales with minimal hand-holding. This is a revenue-bearing role where your success is directly measured and directly impacts company growth.
Drive end-to-end enterprise sales cycles with tier-1 companies across biotech, medtech, and pharma verticals, owning the full deal lifecycle from prospecting and discovery through close and implementation alignment
Build compelling ROI frameworks and business cases tailored to your segment's specific priorities—using an analytical, consulting-forward approach to demonstrate patient outcomes, operational efficiency, and financial impact
Partner with Product, Clinical, and ML teams to identify and develop use case applications specific to your segment:
Biotech: Patient support programs, specialty drug adherence, rare disease navigation, clinical trial recruitment
MedTech: Patient onboarding, device adherence monitoring, post-procedure support, patient engagement
Pharma: Patient adherence, clinical trial recruitment, post-market surveillance, commercial patient support
Maintain rigorous pipeline discipline with accurate forecasting, strong CRM hygiene, and disciplined sales management that drives revenue predictability
Represent Hippocratic AI at industry conferences, executive briefings, and key forums (AACR, BIO, ViVE, AMCP, MD&M, etc.)—building brand credibility, thought leadership, and pipeline with decision-makers
Build trusted relationships with C-suite and VP-level executives at target accounts, establishing yourself as a strategic partner and thought leader in your segment
This role is open for one of three segments: Biotech, MedTech, or Pharma. Candidates with expertise in any of these verticals are encouraged to apply. Your selection will be based on your background, relationships, and market expertise.
Biotech: Commercial-stage biotech companies developing specialty therapeutics
MedTech: Tier-1 medical device manufacturers and medtech innovators (e.g., top device makers, emerging medtech companies)
Pharma: Top 20 global pharmaceutical companies and major specialty pharma
Compensation is based on experience, expertise, and quota attainment. We offer competitive packages that reflect the role's seniority and revenue responsibility, along with equity, health insurance, and other benefits. Target total compensation for this role reflects a quota of ~$3M+ ARR.
Bachelor's degree required; advanced degree preferred
10+ years of professional enterprise sales experience, with 5+ years selling into your target segment (biotech, medtech, or pharma) or related enterprise healthcare/life sciences accounts
Proven track record closing large enterprise deals ($500K–$2M+ ACV) with companies in your segment, with quota-carrying history at ~$3M+ ARR per year
Experience selling complex solutions (consulting, SaaS, AI/ML) that require creative structuring, multi-stakeholder alignment, and bespoke solution design
VP-level enterprise seller with demonstrated ability to navigate C-suite and executive relationships, own accounts from cold outreach through close, and operate independently
Strong communication skills with proven ability to work across technical and non-technical teams, translate between business and clinical contexts, and influence senior stakeholders
Genuine commitment to safety, ethics, and patient-centered outcomes—not just closing deals, but ensuring solutions deliver real value to patients
Mission alignment and intellectual curiosity about healthcare AI and the transformative potential of our platform
Existing relationships with decision-makers at tier-1 companies in your target segment (major pharma, leading device makers, commercial-stage biotech)
Strong analytical skills with investment banking or management consulting background—valuable for ROI modeling, use-case depth, and business case development
Experience with AI, digital health, or data-driven patient engagement platforms in life sciences settings
Startup, scale-up, or regulated-industry experience in a high-growth healthcare technology company
Deep familiarity with your segment's business model, workflow, and buying process—pharma commercial operations, medtech regulatory landscape, biotech funding and go-to-market strategy
Track record representing at your segment's key conferences and industry forums
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.
Hippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.
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.
","descriptionPlain":"ROLE MISSION\n\nAs VP of Sales at Hippocratic AI, you will own enterprise commercial relationships with the world's largest biotech, medtech, and pharmaceutical companies—leading strategic sales cycles that bring breakthrough AI patient engagement solutions to the organizations that matter most. You'll drive toward our 2027 growth goals by closing multi-million-dollar deals with complex, multi-stakeholder organizations while building deep relationships with executive sponsors. This role exists because the life sciences industry is ready to deploy AI at scale, and they need an elite enterprise seller who understands their businesses, speaks their language, and can structure transformative solutions that deliver measurable patient and business outcomes.\n\n\nWHAT YOU WILL ACCOMPLISH\n\nOwn your first major outcome: By day 90, you will have developed a robust target account list across your segment, built a qualified pipeline with at least 3–5 active conversations at VP/C-suite level, and advanced one deal to decision stage—demonstrating your ability to navigate complex stakeholder environments and close enterprise sales.\n\nDrive lasting impact: At 12 months, you will have closed multiple enterprise deals ($1M+ ACV), achieved or exceeded your revenue quota ($3M+ ARR), built a repeatable sales methodology tailored to your segment, established yourself as a trusted advisor to key accounts, and directly shaped how the world's largest life sciences companies deploy AI to improve patient outcomes at scale.\n\n\nTHE TEAM\n\nYou'll partner closely with Product, Clinical, ML, and GTM teams to identify use cases, build business cases, and execute enterprise implementations. You'll operate as a field-first hunter—comfortable prospecting, navigating deals independently, and closing complex sales with minimal hand-holding. This is a revenue-bearing role where your success is directly measured and directly impacts company growth.\n\n\nWHAT YOU'LL DO\n\n - Drive end-to-end enterprise sales cycles with tier-1 companies across biotech, medtech, and pharma verticals, owning the full deal lifecycle from prospecting and discovery through close and implementation alignment\n\n - Build compelling ROI frameworks and business cases tailored to your segment's specific priorities—using an analytical, consulting-forward approach to demonstrate patient outcomes, operational efficiency, and financial impact\n\n - Partner with Product, Clinical, and ML teams to identify and develop use case applications specific to your segment:\n \n - Biotech: Patient support programs, specialty drug adherence, rare disease navigation, clinical trial recruitment\n \n - MedTech: Patient onboarding, device adherence monitoring, post-procedure support, patient engagement\n \n - Pharma: Patient adherence, clinical trial recruitment, post-market surveillance, commercial patient support\n\n - Maintain rigorous pipeline discipline with accurate forecasting, strong CRM hygiene, and disciplined sales management that drives revenue predictability\n\n - Represent Hippocratic AI at industry conferences, executive briefings, and key forums (AACR, BIO, ViVE, AMCP, MD&M, etc.)—building brand credibility, thought leadership, and pipeline with decision-makers\n\n - Build trusted relationships with C-suite and VP-level executives at target accounts, establishing yourself as a strategic partner and thought leader in your segment\n\n\nSEGMENT FOCUS\n\nThis role is open for one of three segments: Biotech, MedTech, or Pharma. Candidates with expertise in any of these verticals are encouraged to apply. Your selection will be based on your background, relationships, and market expertise.\n\n\nTARGET COMPANIES:\n\n - Biotech: Commercial-stage biotech companies developing specialty therapeutics\n\n - MedTech: Tier-1 medical device manufacturers and medtech innovators (e.g., top device makers, emerging medtech companies)\n\n - Pharma: Top 20 global pharmaceutical companies and major specialty pharma\n\n\nCOMPENSATION\n\nCompensation is based on experience, expertise, and quota attainment. We offer competitive packages that reflect the role's seniority and revenue responsibility, along with equity, health insurance, and other benefits. Target total compensation for this role reflects a quota of ~$3M+ ARR.\n\n\nREQUIRED QUALIFICATIONS\n\n - Bachelor's degree required; advanced degree preferred\n\n - 10+ years of professional enterprise sales experience, with 5+ years selling into your target segment (biotech, medtech, or pharma) or related enterprise healthcare/life sciences accounts\n\n - Proven track record closing large enterprise deals ($500K–$2M+ ACV) with companies in your segment, with quota-carrying history at ~$3M+ ARR per year\n\n - Experience selling complex solutions (consulting, SaaS, AI/ML) that require creative structuring, multi-stakeholder alignment, and bespoke solution design\n\n - VP-level enterprise seller with demonstrated ability to navigate C-suite and executive relationships, own accounts from cold outreach through close, and operate independently\n\n - Strong communication skills with proven ability to work across technical and non-technical teams, translate between business and clinical contexts, and influence senior stakeholders\n\n - Genuine commitment to safety, ethics, and patient-centered outcomes—not just closing deals, but ensuring solutions deliver real value to patients\n\n - Mission alignment and intellectual curiosity about healthcare AI and the transformative potential of our platform\n\n\nPREFERRED QUALIFICATIONS\n\n - Existing relationships with decision-makers at tier-1 companies in your target segment (major pharma, leading device makers, commercial-stage biotech)\n\n - Strong analytical skills with investment banking or management consulting background—valuable for ROI modeling, use-case depth, and business case development\n\n - Experience with AI, digital health, or data-driven patient engagement platforms in life sciences settings\n\n - Startup, scale-up, or regulated-industry experience in a high-growth healthcare technology company\n\n - Deep familiarity with your segment's business model, workflow, and buying process—pharma commercial operations, medtech regulatory landscape, biotech funding and go-to-market strategy\n\n - Track record representing at your segment's key conferences and industry forums\n\n\nWHY JOIN HIPPOCRATIC AI\n\nReinvent 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.\n\nWork 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.\n\nBacked 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.\n\nBuild 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.\n\n\nEQUAL OPPORTUNITY\n\nHippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.\n\nPlease be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com http://hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process."},{"id":"a87419b3-7f73-48c2-8190-f730d1c4ed65","title":"Deployment Strategist (Payor)","department":"Customer Experience","team":"Deployment Solutions","employmentType":"FullTime","location":"Seattle, WA","secondaryLocations":[],"publishedAt":"2026-08-23T18:21:35.045+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"WA","addressCountry":"United States","addressLocality":"Seattle"}},"jobUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/a87419b3-7f73-48c2-8190-f730d1c4ed65","applyUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/a87419b3-7f73-48c2-8190-f730d1c4ed65/application","descriptionHtml":"As Deployment Strategist for Payors at Hippocratic AI, you will lead customer deployments that translate AI into measurable operational outcomes for health plans and payor organizations. You will work closely with customers to plan implementations, coordinate cross functional teams, drive adoption, and ensure each deployment delivers value in complex administrative, care management, and member facing workflows.
This role exists because successful deployment in payor environments requires more than strong execution alone. It requires someone who understands payor operations, can navigate complex stakeholder groups, can connect product capabilities to business and clinical priorities, and can guide organizations through implementation and change. You will serve as both a strategic partner and an execution lead, helping customers move from initial planning through launch and long term impact.
Own your first major outcome: By day 90, you will have supported or led your first major payor deployment through a successful implementation milestone, built strong working relationships with key customer stakeholders, identified operational risks and dependencies early, and contributed to deployment playbooks that improve consistency and speed across future implementations.
Drive lasting impact: At 12 months, you will have led multiple payor deployments across a range of customer environments and use cases, become a trusted partner to customer and internal teams, helped standardize implementation processes and operating rhythms, and directly contributed to faster time to value, stronger adoption, and more scalable delivery across the payor segment.
You’ll work alongside implementation managers, engineers, product managers, customer success partners, and clinical experts, partnering closely with customers while staying deeply connected to internal cross functional teams. You’ll operate with significant ownership, balancing strategic customer guidance with detailed execution. This is a team that values customer obsession, operational rigor, clarity, and practical problem solving in real healthcare environments.
Lead deployment planning and execution for payor customers, ensuring clear timelines, ownership, milestones, and successful implementation outcomes
Partner with customer stakeholders to understand business priorities, operational workflows, compliance considerations, and implementation constraints, then translate them into actionable deployment plans
Coordinate across deployment, product, engineering, and customer facing teams to keep implementations aligned and moving forward
Drive implementation readiness, including stakeholder alignment, rollout sequencing, training plans, risk tracking, and launch preparation
Identify blockers early and proactively resolve issues that could affect go live timelines, member experience, internal operations, or customer outcomes
Help customers navigate rollout and adoption by setting expectations, building trust, and guiding them through organizational change
Capture learnings from deployments and turn them into repeatable playbooks, templates, and best practices that improve future implementations
Use deployment insights to inform internal product and process improvements, helping the organization deliver more effectively at scale
This is an onsite role based in the Seattle, Washington area, with five days per week at the client site and occasional travel to Hippocratic AI headquarters (Menlo Park, CA) for strategic planning and team sessions
Experience in deployment, implementation, customer success, strategic operations, consulting, or a related customer facing role, ideally with enterprise or healthcare customers
Strong understanding of payor-side healthcare workflows, operations, and organizational dynamics, either through direct experience in health plans or through customer facing implementation work in payor environments
Proven ability to manage complex customer engagements with multiple stakeholders across operations, clinical programs, IT, compliance, and executive functions
Excellent communication skills, with the ability to translate between customer goals, operational realities, and internal execution plans
Strong project leadership and problem solving skills, especially in fast moving environments where priorities evolve and ambiguity is common
Track record of driving execution across cross functional teams and maintaining momentum through complex implementations
Ability to balance strategic thinking with operational follow through, ensuring plans convert into measurable outcomes
required BA/BS degree
Direct experience working with health plans, managed care organizations, payors, or adjacent healthcare organizations
Familiarity with payor implementation challenges such as care management workflows, utilization management, member engagement, operational change management, and cross functional coordination
Experience building or improving repeatable deployment processes, playbooks, and delivery frameworks across multiple customer environments
Comfort serving as a trusted advisor to customers while also handling detailed execution work
Experience with AI, digital health, member operations tools, care navigation, or other technology deployments in healthcare settings
Familiarity with healthcare compliance and operational requirements relevant to payor environments, including HIPAA and related data handling considerations
This role is an opportunity to help define how breakthrough AI becomes real, trusted, and effective in payor organizations. You will work at the intersection of customer partnership, operational execution, and healthcare transformation, helping ensure deployments succeed not just technically, but in the day to day workflows that shape member, clinical, and operational outcomes.
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.
Hippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.
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.
","descriptionPlain":"ROLE MISSION\n\nAs Deployment Strategist for Payors at Hippocratic AI, you will lead customer deployments that translate AI into measurable operational outcomes for health plans and payor organizations. You will work closely with customers to plan implementations, coordinate cross functional teams, drive adoption, and ensure each deployment delivers value in complex administrative, care management, and member facing workflows.\n\nThis role exists because successful deployment in payor environments requires more than strong execution alone. It requires someone who understands payor operations, can navigate complex stakeholder groups, can connect product capabilities to business and clinical priorities, and can guide organizations through implementation and change. You will serve as both a strategic partner and an execution lead, helping customers move from initial planning through launch and long term impact.\n\n\n\n\nWHAT YOU WILL ACCOMPLISH\n\nOwn your first major outcome: By day 90, you will have supported or led your first major payor deployment through a successful implementation milestone, built strong working relationships with key customer stakeholders, identified operational risks and dependencies early, and contributed to deployment playbooks that improve consistency and speed across future implementations.\n\nDrive lasting impact: At 12 months, you will have led multiple payor deployments across a range of customer environments and use cases, become a trusted partner to customer and internal teams, helped standardize implementation processes and operating rhythms, and directly contributed to faster time to value, stronger adoption, and more scalable delivery across the payor segment.\n\n\nTHE TEAM\n\nYou’ll work alongside implementation managers, engineers, product managers, customer success partners, and clinical experts, partnering closely with customers while staying deeply connected to internal cross functional teams. You’ll operate with significant ownership, balancing strategic customer guidance with detailed execution. This is a team that values customer obsession, operational rigor, clarity, and practical problem solving in real healthcare environments.\n\n\n\n\nWHAT YOU'LL DO\n\n - Lead deployment planning and execution for payor customers, ensuring clear timelines, ownership, milestones, and successful implementation outcomes\n\n - Partner with customer stakeholders to understand business priorities, operational workflows, compliance considerations, and implementation constraints, then translate them into actionable deployment plans\n\n - Coordinate across deployment, product, engineering, and customer facing teams to keep implementations aligned and moving forward\n\n - Drive implementation readiness, including stakeholder alignment, rollout sequencing, training plans, risk tracking, and launch preparation\n\n - Identify blockers early and proactively resolve issues that could affect go live timelines, member experience, internal operations, or customer outcomes\n\n - Help customers navigate rollout and adoption by setting expectations, building trust, and guiding them through organizational change\n\n - Capture learnings from deployments and turn them into repeatable playbooks, templates, and best practices that improve future implementations\n\n - Use deployment insights to inform internal product and process improvements, helping the organization deliver more effectively at scale\n\n\nLOCATION REQUIREMENT\n\nThis is an onsite role based in the Seattle, Washington area, with five days per week at the client site and occasional travel to Hippocratic AI headquarters (Menlo Park, CA) for strategic planning and team sessions\n\n\n\n\nREQUIRED QUALIFICATIONS\n\n - Experience in deployment, implementation, customer success, strategic operations, consulting, or a related customer facing role, ideally with enterprise or healthcare customers\n\n - Strong understanding of payor-side healthcare workflows, operations, and organizational dynamics, either through direct experience in health plans or through customer facing implementation work in payor environments\n\n - Proven ability to manage complex customer engagements with multiple stakeholders across operations, clinical programs, IT, compliance, and executive functions\n\n - Excellent communication skills, with the ability to translate between customer goals, operational realities, and internal execution plans\n\n - Strong project leadership and problem solving skills, especially in fast moving environments where priorities evolve and ambiguity is common\n\n - Track record of driving execution across cross functional teams and maintaining momentum through complex implementations\n\n - Ability to balance strategic thinking with operational follow through, ensuring plans convert into measurable outcomes\n\n - required BA/BS degree\n\n\nPREFERRED QUALIFICATIONS\n\n - Direct experience working with health plans, managed care organizations, payors, or adjacent healthcare organizations\n\n - Familiarity with payor implementation challenges such as care management workflows, utilization management, member engagement, operational change management, and cross functional coordination\n\n - Experience building or improving repeatable deployment processes, playbooks, and delivery frameworks across multiple customer environments\n\n - Comfort serving as a trusted advisor to customers while also handling detailed execution work\n\n - Experience with AI, digital health, member operations tools, care navigation, or other technology deployments in healthcare settings\n\n - Familiarity with healthcare compliance and operational requirements relevant to payor environments, including HIPAA and related data handling considerations\n\n\nWHY THIS ROLE\n\nThis role is an opportunity to help define how breakthrough AI becomes real, trusted, and effective in payor organizations. You will work at the intersection of customer partnership, operational execution, and healthcare transformation, helping ensure deployments succeed not just technically, but in the day to day workflows that shape member, clinical, and operational outcomes.\n\n \n\n\nWHY JOIN HIPPOCRATIC AI\n\nReinvent 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.\n\nWork 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.\n\nBacked 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.\n\nBuild 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.\n\n\nEQUAL OPPORTUNITY\n\nHippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.\n\nPlease be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com http://hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process."},{"id":"3b0f1de3-2517-4915-b82a-21c392c1dbd0","title":"Head of Regulatory Affairs & Quality Control ","department":"Corporate","team":"Legal","employmentType":"FullTime","location":"Menlo Park, CA","secondaryLocations":[],"publishedAt":"2026-08-27T18:06:51.784+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Menlo Park"}},"jobUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/3b0f1de3-2517-4915-b82a-21c392c1dbd0","applyUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/3b0f1de3-2517-4915-b82a-21c392c1dbd0/application","descriptionHtml":"The Head of Regulatory Affairs and Quality Control (RA/QC) is responsible for leading and executing global and domestic regulatory strategy, filings, and compliance activities for AI-driven SaMD products. This role requires a practitioner who not only knows FDA culture and regulatory frameworks, but can also operationalize them, drafting documents, building processes, and coordinating cross-functional activities. Successful candidates will be able to interface with our customer’s regulatory leads to ensure alignment and successful deployment of our AI in the pharma and medtech space. This role reports to the VP of Strategy and will work closely with our , , clinical, and engineering, and LLM model teams.
Help develop and support regulatory strategies and submissions for AI-enabled SaMD products, including classification, marketing applications (e.g., NDAs, De Novo, 510(k)), and pre-submission pathways.
Help develop and support regulatory documentation that enables our customers in the pharma and medtech space to meet their compliance obligations when using Hippocratic AI’s products.
Lead hands-on preparation of regulatory submissions with Legal: drafting sections, coordinating data inputs, managing timelines, and ensuring high-quality documentation.
Translate regulatory requirements into specific, actionable tasks for clinical, product, engineering, and quality teams.
Oversee and advance global and domestic regulatory and compliance initiatives, maintaining scientific accuracy, proactively managing risk, and keeping the organization aligned with changing regulatory expectations.
Build, manage, and continuously improve a practical regulatory compliance structure across SaMD development lifecycles.
Collaborate with legal, engineering, clinical, product, and quality teams to ensure compliance with applicable regulations, including 21 CFR Parts 210 and 211, 21 CFR Part 820, SaMD guidance, AI/ML-specific expectations and guidance, cybersecurity, and labeling requirements.
Help design, support, and maintain a compliant regulatory framework and Pharma-partner guidelines, including iterative AI development, model updates, QMS and GMP requirements, audits and inspections, real-world performance, and post-market monitoring and mitigation.
Develop and maintain SOPs, controlled documents, audit readiness materials, and inspection response processes.
Stay ahead of evolving regulatory policies and draft internal guidance to translate new requirements into clear action for cross-functional teams.
Interact with customer regulatory leads to facilitate deployment of Hippocratic’s solutions with customers in the pharma and medtech industry.
Partner with product, engineering, and clinical teams during development to define regulatory requirements early and de-risk product strategy.
Educate technical and clinical teams on regulatory expectations, FDA and pharmaceutical industry norms, and quality documentation needs.
Drive internal regulatory training and ensure that cross-functional teams have clear guidance, templates, timelines, and expectations.
Bring creative, practical solutions to regulatory challenges inherent in AI technology in the healthcare space.
Build lightweight regulatory processes appropriate for a startup environment without sacrificing compliance.
Use regulatory knowledge to enable innovation, not block it - finding pathways that support speed, safety, and responsible AI.
Identify gaps in regulatory readiness and implement corrective actions proactively.
Contribute to internal playbooks, templates, and scalable processes across regulatory and compliance functions.
8+ years of regulatory affairs experience spanning medical devices, and digital health, related FDA-regulated products.
Bachelor’s degree in life science required.
Experience working at the FDA or directly interfacing extensively with FDA. Strong experience with FDA regulations and regulatory landscape.
Strong understanding of industry, including clinical trials, drug and device development, patient support services, ad/promo, pharmacovigilance, and post-market activities
Demonstrated experience preparing and submitting INDs, NDAs/BLAs, 510(k)s, De Novos, PMAs, supplements, and/or Q-subs.
Strong experience with drug, device, and SaMD development, submissions, and regulatory pathways.
Familiarity with AI-enabled medical technologies, machine learning considerations, and evolving FDA expectations for AI/ML.
Demonstrated ability to thrive in fast-paced, dynamic startup environments with limited structure and high ownership.
Excellent written and verbal communication skills, especially for FDA submissions and internal education.
Experience working in a startup or emerging-growth private company.
Prior leadership experience building regulatory frameworks or managing cross-functional initiatives.
PhD, PharmD or Master's degree preferred. RAC certification or equivalent is a plus.
A regulatory leader who combines strategic thinking with detailed operational follow-through.
Someone who respects regulatory structure but is creative, innovative, and solutions-oriented.
A builder who wants to create the regulatory foundation for both advanced AI systems and traditional drug/device programs.
A collaborator who can work seamlessly with clinical, technical, product, and executive teams.
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.
Hippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.
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.
","descriptionPlain":"ABOUT THE ROLE\n\nThe Head of Regulatory Affairs and Quality Control (RA/QC) is responsible for leading and executing global and domestic regulatory strategy, filings, and compliance activities for AI-driven SaMD products. This role requires a practitioner who not only knows FDA culture and regulatory frameworks, but can also operationalize them, drafting documents, building processes, and coordinating cross-functional activities. Successful candidates will be able to interface with our customer’s regulatory leads to ensure alignment and successful deployment of our AI in the pharma and medtech space. This role reports to the VP of Strategy and will work closely with our , , clinical, and engineering, and LLM model teams.\n\n\n\nWHAT YOU'LL DO\nREGULATORY STRATEGY & EXECUTION\n\n - Help develop and support regulatory strategies and submissions for AI-enabled SaMD products, including classification, marketing applications (e.g., NDAs, De Novo, 510(k)), and pre-submission pathways.\n\n - Help develop and support regulatory documentation that enables our customers in the pharma and medtech space to meet their compliance obligations when using Hippocratic AI’s products.\n\n - Lead hands-on preparation of regulatory submissions with Legal: drafting sections, coordinating data inputs, managing timelines, and ensuring high-quality documentation.\n\n - Translate regulatory requirements into specific, actionable tasks for clinical, product, engineering, and quality teams.\n\n - Oversee and advance global and domestic regulatory and compliance initiatives, maintaining scientific accuracy, proactively managing risk, and keeping the organization aligned with changing regulatory expectations.\n\n\nREGULATORY COMPLIANCE\n\n - Build, manage, and continuously improve a practical regulatory compliance structure across SaMD development lifecycles.\n\n - Collaborate with legal, engineering, clinical, product, and quality teams to ensure compliance with applicable regulations, including 21 CFR Parts 210 and 211, 21 CFR Part 820, SaMD guidance, AI/ML-specific expectations and guidance, cybersecurity, and labeling requirements.\n\n - Help design, support, and maintain a compliant regulatory framework and Pharma-partner guidelines, including iterative AI development, model updates, QMS and GMP requirements, audits and inspections, real-world performance, and post-market monitoring and mitigation.\n\n - Develop and maintain SOPs, controlled documents, audit readiness materials, and inspection response processes.\n\n - Stay ahead of evolving regulatory policies and draft internal guidance to translate new requirements into clear action for cross-functional teams.\n\n - Interact with customer regulatory leads to facilitate deployment of Hippocratic’s solutions with customers in the pharma and medtech industry.\n\n\nCROSS-FUNCTIONAL LEADERSHIP\n\n - Partner with product, engineering, and clinical teams during development to define regulatory requirements early and de-risk product strategy.\n\n - Educate technical and clinical teams on regulatory expectations, FDA and pharmaceutical industry norms, and quality documentation needs.\n\n - Drive internal regulatory training and ensure that cross-functional teams have clear guidance, templates, timelines, and expectations.\n\n - Bring creative, practical solutions to regulatory challenges inherent in AI technology in the healthcare space.\n\n\nINNOVATION & PROCESS BUILDING\n\n - Build lightweight regulatory processes appropriate for a startup environment without sacrificing compliance.\n\n - Use regulatory knowledge to enable innovation, not block it - finding pathways that support speed, safety, and responsible AI.\n\n - Identify gaps in regulatory readiness and implement corrective actions proactively.\n\n - Contribute to internal playbooks, templates, and scalable processes across regulatory and compliance functions.\n\n\nWHAT YOU BRING\n\n\nMUST-HAVE:\n\n - 8+ years of regulatory affairs experience spanning medical devices, and digital health, related FDA-regulated products.\n\n - Bachelor’s degree in life science required.\n\n - Experience working at the FDA or directly interfacing extensively with FDA. Strong experience with FDA regulations and regulatory landscape.\n\n - Strong understanding of industry, including clinical trials, drug and device development, patient support services, ad/promo, pharmacovigilance, and post-market activities\n\n - Demonstrated experience preparing and submitting INDs, NDAs/BLAs, 510(k)s, De Novos, PMAs, supplements, and/or Q-subs.\n\n - Strong experience with drug, device, and SaMD development, submissions, and regulatory pathways.\n\n - Familiarity with AI-enabled medical technologies, machine learning considerations, and evolving FDA expectations for AI/ML.\n\n - Demonstrated ability to thrive in fast-paced, dynamic startup environments with limited structure and high ownership.\n\n - Excellent written and verbal communication skills, especially for FDA submissions and internal education.\n\n\nNICE-TO HAVE:\n\n - Experience working in a startup or emerging-growth private company.\n\n - Prior leadership experience building regulatory frameworks or managing cross-functional initiatives.\n\n - PhD, PharmD or Master's degree preferred. RAC certification or equivalent is a plus.\n\n\nWHAT WE’RE LOOKING FOR\n\n - A regulatory leader who combines strategic thinking with detailed operational follow-through.\n\n - Someone who respects regulatory structure but is creative, innovative, and solutions-oriented.\n\n - A builder who wants to create the regulatory foundation for both advanced AI systems and traditional drug/device programs.\n\n - A collaborator who can work seamlessly with clinical, technical, product, and executive teams.\n\n\nWHY JOIN HIPPOCRATIC AI\n\nReinvent 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.\n\nWork 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.\n\nBacked 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.\n\nBuild 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.\n\n\nEQUAL OPPORTUNITY\n\nHippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.\n\nPlease be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com http://hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process."},{"id":"bd4526de-f05e-49e4-95fe-a97f02b856ec","title":"Senior Fullstack Engineer, Reinforced Learning","department":"Research & Development","team":"Platform Engineering","employmentType":"FullTime","location":"Menlo Park, CA","secondaryLocations":[],"publishedAt":"2026-09-29T22:54:46.444+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Menlo Park"}},"jobUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/bd4526de-f05e-49e4-95fe-a97f02b856ec","applyUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/bd4526de-f05e-49e4-95fe-a97f02b856ec/application","descriptionHtml":"As a Fullstack Engineer at Hippocratic AI, you will play a pivotal role in shaping the future of AI-powered healthcare voice agents through the development of our Generative AI SaaS products. You’ll work across the entire technology stack—front-end and back-end to deliver intelligent, voice-first healthcare solutions that are safe, scalable, and transformative.
This is a highly collaborative role where you will partner with AI researchers, product managers, designers, and healthcare professionals to translate complex requirements into performant, secure, and accessible digital experiences. From crafting seamless mobile interactions to building robust APIs and designing user-facing dashboards, your work will directly impact the way patients and providers engage with AI in clinical and consumer health settings.
We’re looking for experienced engineers who are passionate about innovation, thrive in fast-paced environments, and are eager to apply their full stack skills to solve real-world healthcare challenges with cutting-edge AI technologies.
Architect and scale mission-critical B2B SaaS products using TypeScript, React, Material UI, and Python/Flask to power seamless, AI-driven clinical voice experiences.
Partner with cross-functional engineering teams to deliver high-performance, cross-platform mobile apps using Flutter and React Native.
Translate complex healthcare needs and business vision into elegant, production-ready technical architecture alongside PMs, designers, and domain experts.
Build highly available, reusable front-end and back-end frameworks that elevate system performance and deliver intuitive user journeys.
Champion engineering excellence by conducting high-impact code reviews, mentoring peers, and establishing modern development standards.
Evaluate and integrate cutting-edge AI tools and technologies to keep our product suite ahead of industry benchmarks.
Proactively diagnose and resolve complex technical bottlenecks to guarantee maximum reliability and operational uptime.
Drive rapid iteration and continuous delivery within an agile framework across sprint planning, stand-ups, and retrospectives.
We believe the best ideas happen together. To support fast collaboration and a strong team culture, this role is expected to be in our Menlo Park office five days a week.
Bachelor's degree in Computer Science, Engineering, or related field.
5+ years of professional experience as a full stack developer, with a focus on Typescript/React, and Python, Ruby, or Node backends.
Experience building RESTful APIs and integrating with third-party services.
Proficiency in database design and management using SQL and Postgres databases.
Experience with cloud platforms (e.g., AWS, Azure, Google Cloud)
Strong problem-solving skills and the ability to thrive in a fast-paced, collaborative environment.
Excellent communication skills and the ability to effectively collaborate with cross-functional teams.
Familiarity with agile development methodologies such as Scrum or Kanban.
Experience developing and publishing cross platform mobile applications using Flutter, ReactNative, or native iOS/Android SDKs
Professional experience with Flask Python servers
Knowledge of Terraform with AWS services
If you are a talented full stack developer with a passion for user-facing experiences, innovation, and a desire to work on cutting-edge B2B products, we encourage you to apply and join our dynamic team at Hippocratic AI. Please submit your resume and portfolio showcasing your relevant experience and contributions. We look forward to hearing from you!
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.
Hippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.
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.
","descriptionPlain":"ABOUT THE ROLE\n\nAs a Fullstack Engineer at Hippocratic AI, you will play a pivotal role in shaping the future of AI-powered healthcare voice agents through the development of our Generative AI SaaS products. You’ll work across the entire technology stack—front-end and back-end to deliver intelligent, voice-first healthcare solutions that are safe, scalable, and transformative.\n\nThis is a highly collaborative role where you will partner with AI researchers, product managers, designers, and healthcare professionals to translate complex requirements into performant, secure, and accessible digital experiences. From crafting seamless mobile interactions to building robust APIs and designing user-facing dashboards, your work will directly impact the way patients and providers engage with AI in clinical and consumer health settings.\n\nWe’re looking for experienced engineers who are passionate about innovation, thrive in fast-paced environments, and are eager to apply their full stack skills to solve real-world healthcare challenges with cutting-edge AI technologies.\n\n\nWHAT YOU’LL DO\n\n - Architect and scale mission-critical B2B SaaS products using TypeScript, React, Material UI, and Python/Flask to power seamless, AI-driven clinical voice experiences.\n\n - Partner with cross-functional engineering teams to deliver high-performance, cross-platform mobile apps using Flutter and React Native.\n\n - Translate complex healthcare needs and business vision into elegant, production-ready technical architecture alongside PMs, designers, and domain experts.\n\n - Build highly available, reusable front-end and back-end frameworks that elevate system performance and deliver intuitive user journeys.\n\n - Champion engineering excellence by conducting high-impact code reviews, mentoring peers, and establishing modern development standards.\n\n - Evaluate and integrate cutting-edge AI tools and technologies to keep our product suite ahead of industry benchmarks.\n\n - Proactively diagnose and resolve complex technical bottlenecks to guarantee maximum reliability and operational uptime.\n\n - Drive rapid iteration and continuous delivery within an agile framework across sprint planning, stand-ups, and retrospectives.\n\n\nLOCATION REQUIREMENT\n\nWe believe the best ideas happen together. To support fast collaboration and a strong team culture, this role is expected to be in our Menlo Park office five days a week.\n\n\n\n\nWHAT YOU’LL BRING\n\n\nREQUIRED\n\n - Bachelor's degree in Computer Science, Engineering, or related field.\n\n - 5+ years of professional experience as a full stack developer, with a focus on Typescript/React, and Python, Ruby, or Node backends.\n\n - Experience building RESTful APIs and integrating with third-party services.\n\n - Proficiency in database design and management using SQL and Postgres databases.\n\n - Experience with cloud platforms (e.g., AWS, Azure, Google Cloud)\n\n - Strong problem-solving skills and the ability to thrive in a fast-paced, collaborative environment.\n\n - Excellent communication skills and the ability to effectively collaborate with cross-functional teams.\n\n - Familiarity with agile development methodologies such as Scrum or Kanban.\n\n\nPREFERRED:\n\n - Experience developing and publishing cross platform mobile applications using Flutter, ReactNative, or native iOS/Android SDKs\n\n - Professional experience with Flask Python servers\n\n - Knowledge of Terraform with AWS services\n \n\nIf you are a talented full stack developer with a passion for user-facing experiences, innovation, and a desire to work on cutting-edge B2B products, we encourage you to apply and join our dynamic team at Hippocratic AI. Please submit your resume and portfolio showcasing your relevant experience and contributions. We look forward to hearing from you!\n\n\nWHY JOIN HIPPOCRATIC AI\n\nReinvent 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.\n\nWork 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.\n\nBacked 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.\n\nBuild 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.\n\n\nEQUAL OPPORTUNITY\n\nHippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.\n\nPlease be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com http://hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process."},{"id":"5f6ec723-fb80-4144-b1c1-3b63ea04f8a9","title":"LLM Inference Systems Engineer","department":"Research & Development","team":"LLM Engineering & Sciences","employmentType":"FullTime","location":"Menlo Park, CA","secondaryLocations":[],"publishedAt":"2026-10-07T18:34:09.793+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Menlo Park"}},"jobUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/5f6ec723-fb80-4144-b1c1-3b63ea04f8a9","applyUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/5f6ec723-fb80-4144-b1c1-3b63ea04f8a9/application","descriptionHtml":"We’re seeking an inference systems engineer to build the distributed serving and high-performance networking layer behind our large language models. You will own the path from model server to GPU fabric: prefill/decode disaggregation, KV-cache transfer, multi-node execution, and the observability and benchmarks needed to make those systems reliable in production. This role sits in the Inference team within the company’s Model team and partners closely with Model, Infrastructure, and Application engineering.
Design, implement, and operate disaggregated LLM serving architectures, including independent prefill and decode pools, KV-cache transfer, routing, batching, and failure recovery.
Optimize multi-node inference across modern GPU systems using NVLink, NVSwitch, NVLS, InfiniBand, RoCEv2, GPUDirect RDMA, NCCL, UCX, and related communication paths.
Build and tune serving systems using SGLang, vLLM, NVIDIA Dynamo, TensorRT-LLM, or comparable frameworks.
Profile end-to-end performance across compute, memory, network, and storage; improve time to first token, inter-token latency, throughput, tail latency, and cost per token.
Develop repeatable benchmark and capacity-planning workflows across model architectures, GPU types, parallelism strategies, and concurrency levels.
Productionize serving on Kubernetes with health checks, autoscaling, safe rollouts, metrics, tracing, and actionable diagnostics.
Diagnose complex distributed failures such as collective timeouts, topology mismatches, packet loss, congestion, KV-transfer stalls, GPU OOMs, and uneven load.
Partner with model researchers and platform engineers to launch new models, serving features, and hardware generations safely.
We believe the best ideas happen together. To support fast collaboration and a strong team culture, this role is expected to be in our Menlo Park office five days a week, unless otherwise specified.
Production experience building or operating distributed systems, high-performance computing systems, or large-scale ML inference platforms.
Strong understanding of LLM inference, including tensor/pipeline/data parallelism, continuous batching, KV-cache management, and prefill/decode behavior.
Hands-on experience with GPU communication and networking technologies such as NCCL, NVLink/NVSwitch, InfiniBand, RoCE, RDMA, UCX, or equivalent systems.
Strong Python skills and working proficiency in C++ or another systems language.
Ability to profile and debug performance across application, runtime, kernel, network, and infrastructure layers.
Experience deploying production workloads on Kubernetes and operating them with clear reliability and observability standards.
Clear written and verbal communication across research, infrastructure, and product-facing teams.
Master's or PhD Required
Direct experience with disaggregated serving, KV-cache transfer, NVIDIA Dynamo/NIXL, SGLang, vLLM, or TensorRT-LLM.
Experience with NVLS, SHARP, GPUDirect RDMA, UCX, RDMA congestion control, or GPU-cluster topology optimization.
CUDA, Triton, custom kernel, or low-level GPU performance experience.
Experience with speculative decoding, multi-LoRA serving, quantization, or cache-aware routing.
Contributions to open-source inference, networking, or distributed-systems projects.
Experience benchmarking new GPU platforms and turning results into production architecture decisions.
Polaris: A Safety-focused LLM Constellation Architecture for Healthcare — https://arxiv.org/abs/2403.13313
Polaris 2 — https://www.hippocraticai.com/polaris2
Personalized Interactions — https://www.hippocraticai.com/personalized-interactions
Human Touch in AI — https://www.hippocraticai.com/the-human-touch-in-ai
Empathetic Intelligence — https://www.hippocraticai.com/empathetic-intelligence
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.
Hippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.
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.
","descriptionPlain":"ABOUT THE ROLE\n\nWe’re seeking an inference systems engineer to build the distributed serving and high-performance networking layer behind our large language models. You will own the path from model server to GPU fabric: prefill/decode disaggregation, KV-cache transfer, multi-node execution, and the observability and benchmarks needed to make those systems reliable in production. This role sits in the Inference team within the company’s Model team and partners closely with Model, Infrastructure, and Application engineering.\n\n\nWHAT YOU’LL DO\n\n - Design, implement, and operate disaggregated LLM serving architectures, including independent prefill and decode pools, KV-cache transfer, routing, batching, and failure recovery.\n\n - Optimize multi-node inference across modern GPU systems using NVLink, NVSwitch, NVLS, InfiniBand, RoCEv2, GPUDirect RDMA, NCCL, UCX, and related communication paths.\n\n - Build and tune serving systems using SGLang, vLLM, NVIDIA Dynamo, TensorRT-LLM, or comparable frameworks.\n\n - Profile end-to-end performance across compute, memory, network, and storage; improve time to first token, inter-token latency, throughput, tail latency, and cost per token.\n\n - Develop repeatable benchmark and capacity-planning workflows across model architectures, GPU types, parallelism strategies, and concurrency levels.\n\n - Productionize serving on Kubernetes with health checks, autoscaling, safe rollouts, metrics, tracing, and actionable diagnostics.\n\n - Diagnose complex distributed failures such as collective timeouts, topology mismatches, packet loss, congestion, KV-transfer stalls, GPU OOMs, and uneven load.\n\n - Partner with model researchers and platform engineers to launch new models, serving features, and hardware generations safely.\n\n\nLOCATION REQUIREMENT\n\nWe believe the best ideas happen together. To support fast collaboration and a strong team culture, this role is expected to be in our Menlo Park office five days a week, unless otherwise specified.\n\n\nWHAT YOU BRING\n\n\nMUST-HAVE:\n\n - Production experience building or operating distributed systems, high-performance computing systems, or large-scale ML inference platforms.\n\n - Strong understanding of LLM inference, including tensor/pipeline/data parallelism, continuous batching, KV-cache management, and prefill/decode behavior.\n\n - Hands-on experience with GPU communication and networking technologies such as NCCL, NVLink/NVSwitch, InfiniBand, RoCE, RDMA, UCX, or equivalent systems.\n\n - Strong Python skills and working proficiency in C++ or another systems language.\n\n - Ability to profile and debug performance across application, runtime, kernel, network, and infrastructure layers.\n\n - Experience deploying production workloads on Kubernetes and operating them with clear reliability and observability standards.\n\n - Clear written and verbal communication across research, infrastructure, and product-facing teams.\n\n - Master's or PhD Required\n\n\nNICE-TO-HAVE:\n\n - Direct experience with disaggregated serving, KV-cache transfer, NVIDIA Dynamo/NIXL, SGLang, vLLM, or TensorRT-LLM.\n\n - Experience with NVLS, SHARP, GPUDirect RDMA, UCX, RDMA congestion control, or GPU-cluster topology optimization.\n\n - CUDA, Triton, custom kernel, or low-level GPU performance experience.\n\n - Experience with speculative decoding, multi-LoRA serving, quantization, or cache-aware routing.\n\n - Contributions to open-source inference, networking, or distributed-systems projects.\n\n - Experience benchmarking new GPU platforms and turning results into production architecture decisions.\n\n\n\n\nREFERENCES\n\n - Polaris: A Safety-focused LLM Constellation Architecture for Healthcare — https://arxiv.org/abs/2403.13313\n\n - Polaris 2 — https://www.hippocraticai.com/polaris2\n\n - Personalized Interactions — https://www.hippocraticai.com/personalized-interactions\n\n - Human Touch in AI — https://www.hippocraticai.com/the-human-touch-in-ai\n\n - Empathetic Intelligence — https://www.hippocraticai.com/empathetic-intelligence\n\n\nWHY JOIN HIPPOCRATIC AI\n\nReinvent 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.\n\nWork 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.\n\nBacked 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.\n\nBuild 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.\n\n\nEQUAL OPPORTUNITY\n\nHippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.\n\nPlease be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com http://hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process."},{"id":"df084f5c-0683-427d-aa8e-72ea34a26de3","title":"Staff Site Reliability Engineer","department":"Research & Development","team":"Platform Engineering","employmentType":"FullTime","location":"Menlo Park, CA","secondaryLocations":[],"publishedAt":"2026-09-17T20:18:36.428+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Menlo Park"}},"jobUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/df084f5c-0683-427d-aa8e-72ea34a26de3","applyUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/df084f5c-0683-427d-aa8e-72ea34a26de3/application","descriptionHtml":"We're looking for a Staff Site Reliability Engineer who is equally at home writing production software and running the infrastructure it lives on — and who wants to take ownership of one of the hardest, highest-leverage problems on our platform: intelligently managing a large fleet of GPU-backed models.
We run nearly 30 models across heterogeneous hardware, and keeping that fleet fast, reliable, and cost-effective is a serious engineering challenge. You'll build the GPU management and scheduling platform that sits at the center of it — collecting utilization and load metrics, interpreting what they actually mean, and using them to make real-time decisions about admission control and scaling. The goal: route and schedule inference calls so we use our capacity efficiently without exceeding it, and scale model replicas up and down automatically as demand shifts.
This is a senior role for someone with a decade in the field who can move fluidly between systems engineering and software development, and who is excited to own a complex, evolving system end to end.
Design and build our GPU management and scheduling platform — the system that decides when, where, and how inference calls run across a fleet of ~30 models on heterogeneous hardware
Build the metrics pipeline that collects GPU load and utilization data, and the logic that turns those signals into decisions
Implement admission control to protect capacity — deciding when to accept, queue, or shed inference requests so we operate within fleet limits
Build autoscaling that adjusts the number of model replicas in response to real-time demand and utilization
Develop cloud orchestration systems and operators in Python and Go to manage the model fleet
Architect and operate scalable, fault-tolerant, secure production systems on AWS, GCP, or Azure
Design and build infrastructure automation and deployment pipelines (Terraform, CI/CD) as first-class software
Stand up and maintain monitoring, logging, and alerting that keep the platform reliable and performant
Develop and enforce security and compliance policies appropriate to a healthcare AI platform
Partner with engineers and research scientists to diagnose and resolve complex infrastructure, deployment, and operational issues
Mentor engineers and raise the technical bar across the team
Must-Have
10+ years of professional experience across site reliability / DevOps engineering and software engineering
Computer Science Degree Required from a top CS program.
Strong software engineering fundamentals — you build orchestration and scheduling systems in Python and/or Go, not just configure off-the-shelf tools
Experience designing systems that make decisions from operational metrics — collecting signals, interpreting them, and driving control loops such as autoscaling, load shedding, or admission control
Deep experience with infrastructure automation and CI/CD (Terraform, GitLab CI/CD, or similar)
Hands-on production experience with at least one major cloud platform (AWS, GCP, or Azure)
Strong knowledge of containerization and orchestration (Docker, Kubernetes)
Experience with monitoring and logging stacks (ELK, Grafana, Datadog, or similar)
Familiarity with secrets management and security tooling (HashiCorp Vault, AWS KMS, Azure Key Vault)
Excellent problem-solving skills and the ability to work both independently and collaboratively
Strong communication and interpersonal skills
Nice-to-Have
Experience managing GPU fleets or scheduling workloads across heterogeneous accelerators
Familiarity with ML inference serving and model deployment (e.g. Triton, KServe, Ray Serve, or similar)
Experience with Kubernetes autoscaling internals (HPA/VPA, custom metrics, custom controllers)
Experience implementing HIPAA and SOC 2 compliance
Experience operating in an HPC environment
Bachelor's or Master's in Computer Science, Computer Engineering, or a related field
Join our team at Hippocratic AI and help shape the future of clinically safe, production-grade AI systems.
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.
Hippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.
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.
","descriptionPlain":"ABOUT THE ROLE\n\nWe're looking for a Staff Site Reliability Engineer who is equally at home writing production software and running the infrastructure it lives on — and who wants to take ownership of one of the hardest, highest-leverage problems on our platform: intelligently managing a large fleet of GPU-backed models.\n\nWe run nearly 30 models across heterogeneous hardware, and keeping that fleet fast, reliable, and cost-effective is a serious engineering challenge. You'll build the GPU management and scheduling platform that sits at the center of it — collecting utilization and load metrics, interpreting what they actually mean, and using them to make real-time decisions about admission control and scaling. The goal: route and schedule inference calls so we use our capacity efficiently without exceeding it, and scale model replicas up and down automatically as demand shifts.\n\nThis is a senior role for someone with a decade in the field who can move fluidly between systems engineering and software development, and who is excited to own a complex, evolving system end to end.\n\n\n\n\nWHAT YOU'LL DO\n\n - Design and build our GPU management and scheduling platform — the system that decides when, where, and how inference calls run across a fleet of ~30 models on heterogeneous hardware\n\n - Build the metrics pipeline that collects GPU load and utilization data, and the logic that turns those signals into decisions\n\n - Implement admission control to protect capacity — deciding when to accept, queue, or shed inference requests so we operate within fleet limits\n\n - Build autoscaling that adjusts the number of model replicas in response to real-time demand and utilization\n\n - Develop cloud orchestration systems and operators in Python and Go to manage the model fleet\n\n - Architect and operate scalable, fault-tolerant, secure production systems on AWS, GCP, or Azure\n\n - Design and build infrastructure automation and deployment pipelines (Terraform, CI/CD) as first-class software\n\n - Stand up and maintain monitoring, logging, and alerting that keep the platform reliable and performant\n\n - Develop and enforce security and compliance policies appropriate to a healthcare AI platform\n\n - Partner with engineers and research scientists to diagnose and resolve complex infrastructure, deployment, and operational issues\n\n - Mentor engineers and raise the technical bar across the team\n\n\nWHAT YOU BRING\n\nMust-Have\n\n - 10+ years of professional experience across site reliability / DevOps engineering and software engineering\n\n - Computer Science Degree Required from a top CS program.\n\n - Strong software engineering fundamentals — you build orchestration and scheduling systems in Python and/or Go, not just configure off-the-shelf tools\n\n - Experience designing systems that make decisions from operational metrics — collecting signals, interpreting them, and driving control loops such as autoscaling, load shedding, or admission control\n\n - Deep experience with infrastructure automation and CI/CD (Terraform, GitLab CI/CD, or similar)\n\n - Hands-on production experience with at least one major cloud platform (AWS, GCP, or Azure)\n\n - Strong knowledge of containerization and orchestration (Docker, Kubernetes)\n\n - Experience with monitoring and logging stacks (ELK, Grafana, Datadog, or similar)\n\n - Familiarity with secrets management and security tooling (HashiCorp Vault, AWS KMS, Azure Key Vault)\n\n - Excellent problem-solving skills and the ability to work both independently and collaboratively\n\n - Strong communication and interpersonal skills\n\nNice-to-Have\n\n - Experience managing GPU fleets or scheduling workloads across heterogeneous accelerators\n\n - Familiarity with ML inference serving and model deployment (e.g. Triton, KServe, Ray Serve, or similar)\n\n - Experience with Kubernetes autoscaling internals (HPA/VPA, custom metrics, custom controllers)\n\n - Experience implementing HIPAA and SOC 2 compliance\n\n - Experience operating in an HPC environment\n\n - Bachelor's or Master's in Computer Science, Computer Engineering, or a related field\n\n\n\nJoin our team at Hippocratic AI and help shape the future of clinically safe, production-grade AI systems.\n\n\nWHY JOIN HIPPOCRATIC AI\n\nReinvent 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.\n\nWork 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.\n\nBacked 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.\n\nBuild 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.\n\n\nEQUAL OPPORTUNITY\n\nHippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.\n\nPlease be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com http://hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process."},{"id":"af91b9bd-4452-42c0-93d5-e1943070618e","title":"Forward Deployment Engineer (Residency Program)","department":"Research & Development","team":"Product Engineering","employmentType":"FullTime","location":"Menlo Park, CA","secondaryLocations":[],"publishedAt":"2026-09-19T14:38:04.534+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Menlo Park"}},"jobUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/af91b9bd-4452-42c0-93d5-e1943070618e","applyUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/af91b9bd-4452-42c0-93d5-e1943070618e/application","descriptionHtml":"As HAI's Forward Deployed Engineer (FDE) Resident, you will own the delivery of safe, autonomous clinical conversations with patients, from the conversation layer to the integration design. You'll develop and refine the prompts and conversation logic that determine how millions of patients experience our breakthrough healthcare AI. And you’ll architect the transports and mappings to get data in and out of these conversations. This role exists because building truly autonomous clinical conversations requires both deep technical skill and relentless focus on patient experience—and we need someone who can master both.
Own your first major outcome: By day 90, you will have shipped improvements to at least two live conversation workflows, developed advanced prompts that meaningfully improve clinical safety scores or patient satisfaction metrics, collaborated with clinicians to translate their feedback into conversation logic, and shipped code that's now running in production healthcare environments.
Drive lasting impact: This is the front door to our Forward Deployed Engineer (FDE) track: your first 6 months are as an FDE Resident, followed by 6 months as an Associate FDE, working alongside FDE leadership with exposure to Product Engineering and AI Engineering along the way. Most residents graduate into full FDE roles, with some moving into Engineering or Product based on their strengths and interests.
You'll work alongside software engineers, ML scientists, product managers, and clinical experts who are obsessed with getting conversation right. This is a collaborative team that ships fast, values experimentation, and treats patient safety as non-negotiable. You'll have direct input into product decisions and the autonomy to innovate on conversation and integration design.
Develop advanced prompts for our conversation planning layer using sophisticated prompting techniques (chain-of-thought, few-shot learning, role-based prompting, structured outputs) to enable complex agentic workflows that handle real clinical scenarios
Engineer conversation logic and patient interactions that balance clinical accuracy, safety guardrails, and patient experience—writing, testing, and iterating on prompts that make our agents feel natural and trustworthy
Design and build the integrations that connect our conversational agents to customer EHRs, scheduling systems, and telephony platforms—turning HL7/FHIR feeds and REST/webhook APIs into the real-time signals that shape every conversation
Collaborate with clinicians, product managers, and engineers to translate clinical requirements into conversation designs, conduct user testing with healthcare professionals, and iterate based on feedback from real-world usage
Conduct rigorous experiments and analysis on model outputs, prompt variations, and conversation strategies—measuring impact on clinical safety scores, patient satisfaction, task completion rates, and other key metrics
Use advanced prompting techniques including retrieval augmentation, tool calling, conditional logic, and multi-turn conversation management to optimize model performance and patient experience across diverse clinical scenarios
Maintain and improve our conversation codebase, ensuring prompts are version-controlled, documented, and deployed safely to production healthcare environments with proper testing and rollout procedures
Sit shoulder-to-shoulder with customer engineering teams during go-lives, debugging integration issues live and turning one partner's edge case into a reusable pattern that ships to every future customer
We believe the best ideas happen together. To support fast collaboration and a strong team culture, this role is expected to be in our Menlo Park office five days a week, unless otherwise specified.
Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or a related technical field (or equivalent demonstrated coursework and professional projects)
2+ years of professional industry experience in software development, AI/ML, or related technical roles
Strong Python proficiency with hands-on experience writing production or near-production code
Demonstrated experience with LLM prompting through professional work or substantial personal projects (ChatGPT, Claude, or similar models)
Experience building integrations with databases and RESTful APIs, including understanding of async patterns and error handling
Strong problem-solving mindset with proven ability to break down complex problems and iterate toward solutions
Experience with backend development frameworks (Flask, Django, FastAPI, Spring Boot, or similar)
Portfolio of personal or academic projects demonstrating full-stack development, AI experimentation, or prompt engineering work
Familiarity with AI/ML concepts including model architectures, training approaches, or evaluation methods
Understanding of data privacy, security, and compliance best practices, particularly in regulated healthcare environments (HIPAA, healthcare data handling)
Healthcare or health-tech experience, including exposure to clinical workflows, EHR systems, or patient-facing applications
Experience with prompt engineering frameworks or tools (LangChain, LangSmith, Anthropic SDK, etc.)
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.
Hippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.
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.
","descriptionPlain":"ROLE MISSION\n\nAs HAI's Forward Deployed Engineer (FDE) Resident, you will own the delivery of safe, autonomous clinical conversations with patients, from the conversation layer to the integration design. You'll develop and refine the prompts and conversation logic that determine how millions of patients experience our breakthrough healthcare AI. And you’ll architect the transports and mappings to get data in and out of these conversations. This role exists because building truly autonomous clinical conversations requires both deep technical skill and relentless focus on patient experience—and we need someone who can master both.\n\n\nWHAT YOU WILL ACCOMPLISH\n\nOwn your first major outcome: By day 90, you will have shipped improvements to at least two live conversation workflows, developed advanced prompts that meaningfully improve clinical safety scores or patient satisfaction metrics, collaborated with clinicians to translate their feedback into conversation logic, and shipped code that's now running in production healthcare environments.\n\nDrive lasting impact: This is the front door to our Forward Deployed Engineer (FDE) track: your first 6 months are as an FDE Resident, followed by 6 months as an Associate FDE, working alongside FDE leadership with exposure to Product Engineering and AI Engineering along the way. Most residents graduate into full FDE roles, with some moving into Engineering or Product based on their strengths and interests.\n\n\nTHE TEAM\n\nYou'll work alongside software engineers, ML scientists, product managers, and clinical experts who are obsessed with getting conversation right. This is a collaborative team that ships fast, values experimentation, and treats patient safety as non-negotiable. You'll have direct input into product decisions and the autonomy to innovate on conversation and integration design.\n\n\nWHAT YOU WILL DO\n\n - Develop advanced prompts for our conversation planning layer using sophisticated prompting techniques (chain-of-thought, few-shot learning, role-based prompting, structured outputs) to enable complex agentic workflows that handle real clinical scenarios\n\n - Engineer conversation logic and patient interactions that balance clinical accuracy, safety guardrails, and patient experience—writing, testing, and iterating on prompts that make our agents feel natural and trustworthy\n\n - Design and build the integrations that connect our conversational agents to customer EHRs, scheduling systems, and telephony platforms—turning HL7/FHIR feeds and REST/webhook APIs into the real-time signals that shape every conversation\n\n - Collaborate with clinicians, product managers, and engineers to translate clinical requirements into conversation designs, conduct user testing with healthcare professionals, and iterate based on feedback from real-world usage\n\n - Conduct rigorous experiments and analysis on model outputs, prompt variations, and conversation strategies—measuring impact on clinical safety scores, patient satisfaction, task completion rates, and other key metrics\n\n - Use advanced prompting techniques including retrieval augmentation, tool calling, conditional logic, and multi-turn conversation management to optimize model performance and patient experience across diverse clinical scenarios\n\n - Maintain and improve our conversation codebase, ensuring prompts are version-controlled, documented, and deployed safely to production healthcare environments with proper testing and rollout procedures\n\n - Sit shoulder-to-shoulder with customer engineering teams during go-lives, debugging integration issues live and turning one partner's edge case into a reusable pattern that ships to every future customer\n\n\nLOCATION REQUIREMENT\n\nWe believe the best ideas happen together. To support fast collaboration and a strong team culture, this role is expected to be in our Menlo Park office five days a week, unless otherwise specified.\n\n\nBASIC QUALIFICATIONS\n\n - Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or a related technical field (or equivalent demonstrated coursework and professional projects)\n\n - 2+ years of professional industry experience in software development, AI/ML, or related technical roles\n\n - Strong Python proficiency with hands-on experience writing production or near-production code\n\n - Demonstrated experience with LLM prompting through professional work or substantial personal projects (ChatGPT, Claude, or similar models)\n\n - Experience building integrations with databases and RESTful APIs, including understanding of async patterns and error handling\n\n - Strong problem-solving mindset with proven ability to break down complex problems and iterate toward solutions\n\n\nPREFERRED QUALIFICATIONS\n\n - Experience with backend development frameworks (Flask, Django, FastAPI, Spring Boot, or similar)\n\n - Portfolio of personal or academic projects demonstrating full-stack development, AI experimentation, or prompt engineering work\n\n - Familiarity with AI/ML concepts including model architectures, training approaches, or evaluation methods\n\n - Understanding of data privacy, security, and compliance best practices, particularly in regulated healthcare environments (HIPAA, healthcare data handling)\n\n - Healthcare or health-tech experience, including exposure to clinical workflows, EHR systems, or patient-facing applications\n\n - Experience with prompt engineering frameworks or tools (LangChain, LangSmith, Anthropic SDK, etc.)\n\n\nWHY JOIN HIPPOCRATIC AI\n\nReinvent 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.\n\nWork 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.\n\nBacked 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.\n\nBuild 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.\n\n\nEQUAL OPPORTUNITY\n\nHippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.\n\nPlease be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com http://hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process."},{"id":"9764d37c-55b6-45bd-b090-016fd0d43cba","title":"Lead Product Data Analyst","department":"Research & Development","team":"Data & Analytics","employmentType":"FullTime","location":"Menlo Park, CA","secondaryLocations":[],"publishedAt":"2026-10-16T20:04:13.262+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Menlo Park"}},"jobUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/9764d37c-55b6-45bd-b090-016fd0d43cba","applyUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/9764d37c-55b6-45bd-b090-016fd0d43cba/application","descriptionHtml":"Hippocratic AI is looking for a Lead Product Data Analyst to drive company-wide product strategy and quantify the clinical, operational, and financial impact of our healthcare AI platform. This isn't a dashboarding role — you will establish the foundational measurement and evaluation strategy for AI clinical agents at scale, including critic frameworks, safety baselines, and quality criteria across all product lines.
You'll partner directly with Executive Leadership, Product, Engineering, Customer Success, and clinical leads to solve highly ambiguous strategic challenges: What major product investments should we prioritize? What structural levers drive or limit customer adoption? How do we quantify long-term outcomes for health systems and patients — and prove them with decision-grade data?
The ideal candidate navigates complex, high-stakes ambiguity with ease, translates high-level strategic directives into rigorous analytical programs, and possesses executive-level business judgment to influence product roadmaps and customer partnerships.
Define how we measure success
Partner across executive, clinical, and product leadership to establish company-wide AI agent evaluation frameworks, critic architectures, and quality baselines.
Define company-level North Star metrics and multi-tier measurement strategies that proactively shape long-term product vision rather than tracking existing adoption.
Design analytical approaches to evaluate product changes and program impact, including in real-world settings where randomized experiments aren't possible.
Conduct pre- and post-launch analysis to determine whether initiatives achieved their intended outcomes.
Turn data into decisions and dollars
Architect end-to-end analytical solutions for complex, unstructured strategic questions, providing high-conviction recommendations to executive decision-makers.
Develop comprehensive financial and business models linking product adoption to health system ROI, clinical outcomes, cost reduction, and value-based care performance.
Partner with technical teams to improve instrumentation so the data behind these decisions is reliable.
Represent the work — internally and with customers
Synthesize complex analytical findings into compelling executive narratives for C-suite leaders and external healthcare partners.
Represent product data strategy and ROI models directly in high-stakes C-suite customer and partner engagements.
Serve as a principal analytics partner across Product, Engineering, Customer Success, and GTM, mentoring team members and establishing product analytics standards as the organization scales.
We believe the best ideas happen together. To support fast collaboration and a strong team culture, this role is expected to be in our Menlo Park office five days a week, unless otherwise specified.
6–8+ years of progressive experience in product analytics, product strategy, data analytics, business strategy, or management consulting within high-growth tech or healthcare environments.
Bachelor's degree in a quantitative or analytical discipline (Business, Economics, Finance, Statistics, Data Science, CS, Engineering, or related).
Advanced SQL and demonstrated ability to independently analyze large, complex datasets; working Python proficiency preferred.
Track record of driving executive consensus and directly influencing company-wide product strategy, roadmaps, and capital allocation using data.
Experience with product analytics/BI tools (Looker, Tableau, Metabase, or similar).
Design analytical approaches to evaluate product changes and program impact — including in real-world settings where randomized experiments aren't possible.
Proven experience building sophisticated ROI models, business cases, or economic evaluations, presenting directly to VP and C-suite stakeholders.
Experience in product analytics or strategy at a technology, healthcare technology, SaaS, or AI company.
Experience working with healthcare data, products, clinical workflows, or healthcare organizations.
Fluency in healthcare financial and value-based care concepts (e.g., HRRP/readmission economics, value-based care arrangements, risk-based contracting).
Experience designing causal, cohort, funnel, retention, or behavioral analyses, especially where RCTs aren't feasible.
Experience presenting to Director/VP/C-suite or senior customer stakeholders.
Experience with AI, machine learning, or LLM-powered products.
Startup or high-growth experience where responsibilities extend beyond a narrowly defined analytics function.
Success here isn't how many dashboards you build — it's whether your analysis changes a decision. You'll help us understand which product investments matter most, which capabilities create measurable value, and how to prove it with data.
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.
Hippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.
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.
","descriptionPlain":"ABOUT THE ROLE\n\nHippocratic AI is looking for a Lead Product Data Analyst to drive company-wide product strategy and quantify the clinical, operational, and financial impact of our healthcare AI platform. This isn't a dashboarding role — you will establish the foundational measurement and evaluation strategy for AI clinical agents at scale, including critic frameworks, safety baselines, and quality criteria across all product lines.\n\nYou'll partner directly with Executive Leadership, Product, Engineering, Customer Success, and clinical leads to solve highly ambiguous strategic challenges: What major product investments should we prioritize? What structural levers drive or limit customer adoption? How do we quantify long-term outcomes for health systems and patients — and prove them with decision-grade data?\n\nThe ideal candidate navigates complex, high-stakes ambiguity with ease, translates high-level strategic directives into rigorous analytical programs, and possesses executive-level business judgment to influence product roadmaps and customer partnerships.\n\n\nWHAT YOU'LL DO\n\nDefine how we measure success\n\n - Partner across executive, clinical, and product leadership to establish company-wide AI agent evaluation frameworks, critic architectures, and quality baselines.\n\n - Define company-level North Star metrics and multi-tier measurement strategies that proactively shape long-term product vision rather than tracking existing adoption.\n\n - Design analytical approaches to evaluate product changes and program impact, including in real-world settings where randomized experiments aren't possible.\n\n - Conduct pre- and post-launch analysis to determine whether initiatives achieved their intended outcomes.\n\nTurn data into decisions and dollars\n\n - Architect end-to-end analytical solutions for complex, unstructured strategic questions, providing high-conviction recommendations to executive decision-makers.\n\n - Develop comprehensive financial and business models linking product adoption to health system ROI, clinical outcomes, cost reduction, and value-based care performance.\n\n - Partner with technical teams to improve instrumentation so the data behind these decisions is reliable.\n\nRepresent the work — internally and with customers\n\n - Synthesize complex analytical findings into compelling executive narratives for C-suite leaders and external healthcare partners.\n\n - Represent product data strategy and ROI models directly in high-stakes C-suite customer and partner engagements.\n\n - Serve as a principal analytics partner across Product, Engineering, Customer Success, and GTM, mentoring team members and establishing product analytics standards as the organization scales.\n\n\nLOCATION REQUIREMENT\n\nWe believe the best ideas happen together. To support fast collaboration and a strong team culture, this role is expected to be in our Menlo Park office five days a week, unless otherwise specified.\n\n\nWHAT YOU BRING\n\n\nMUST-HAVE\n\n - 6–8+ years of progressive experience in product analytics, product strategy, data analytics, business strategy, or management consulting within high-growth tech or healthcare environments.\n\n - Bachelor's degree in a quantitative or analytical discipline (Business, Economics, Finance, Statistics, Data Science, CS, Engineering, or related).\n\n - Advanced SQL and demonstrated ability to independently analyze large, complex datasets; working Python proficiency preferred.\n\n - Track record of driving executive consensus and directly influencing company-wide product strategy, roadmaps, and capital allocation using data.\n\n - Experience with product analytics/BI tools (Looker, Tableau, Metabase, or similar).\n\n - Design analytical approaches to evaluate product changes and program impact — including in real-world settings where randomized experiments aren't possible.\n\n - Proven experience building sophisticated ROI models, business cases, or economic evaluations, presenting directly to VP and C-suite stakeholders.\n\n\nNICE-TO-HAVE\n\n - Experience in product analytics or strategy at a technology, healthcare technology, SaaS, or AI company.\n\n - Experience working with healthcare data, products, clinical workflows, or healthcare organizations.\n\n - Fluency in healthcare financial and value-based care concepts (e.g., HRRP/readmission economics, value-based care arrangements, risk-based contracting).\n\n - Experience designing causal, cohort, funnel, retention, or behavioral analyses, especially where RCTs aren't feasible.\n\n - Experience presenting to Director/VP/C-suite or senior customer stakeholders.\n\n - Experience with AI, machine learning, or LLM-powered products.\n\n - Startup or high-growth experience where responsibilities extend beyond a narrowly defined analytics function.\n\n\nWHAT SUCCESS LOOKS LIKE\n\nSuccess here isn't how many dashboards you build — it's whether your analysis changes a decision. You'll help us understand which product investments matter most, which capabilities create measurable value, and how to prove it with data.\n\n\nWHY JOIN HIPPOCRATIC AI\n\nReinvent 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.\n\nWork 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.\n\nBacked 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.\n\nBuild 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.\n\n\nEQUAL OPPORTUNITY\n\nHippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.\n\nPlease be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com http://hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process."},{"id":"ed82f380-c6f4-40b1-83b8-b2182bb1977d","title":"Technical Program Manager - Frontier AI Data Labeling","department":"Research & Development","team":"Product","employmentType":"FullTime","location":"Menlo Park, CA","secondaryLocations":[],"publishedAt":"2026-10-16T15:42:01.204+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Menlo Park"}},"jobUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/ed82f380-c6f4-40b1-83b8-b2182bb1977d","applyUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/ed82f380-c6f4-40b1-83b8-b2182bb1977d/application","descriptionHtml":"Frontier models are only as good as the data they learn from. At Hippocratic AI, that data decides whether an AI agent safely guides a patient through a medication change at 2 a.m.
Our data powers Polaris, a constellation of models with a 700B-parameter core and specialized safety supervisors. In our evaluations, Polaris reaches 99.95% accuracy on drug-safety benchmarks versus 87.9% for the closest voice-deployable frontier model. The labeling, evals, and rater calibration behind it are how we earn and defend numbers like that.
We’re hiring a Technical Program Manager to run the human-in-the-loop data labeling engine behind our frontier healthcare AI. That spans audio and conversation annotation, clinician-labeled training data, preference and RLHF data, and the evaluations that decide what ships. You’ll work daily with ML researchers, applied scientists, and licensed clinicians. The data you produce feeds directly into our model training and evaluation loops.
Run the data pipelines behind our models. Own end-to-end delivery of labeling and annotation programs, including audio and voice-conversation labeling, supervised labeling, and preference and RLHF data. You’ll manage scoping, task design, execution, QA, and delivery against live model-development cycles.
Turn evals into products. Work with ML and Applied Science to turn evaluation and training-signal needs into concrete labeling tasks, rubrics, and success criteria. Your evals become the benchmarks that gate releases.
Build and scale an expert rater workforce. Source, screen, and onboard clinicians and specialized raters through marketplaces, vendors, and in-house teams. This includes designing qualification tasks, setting rates, and scaling pools up and down as programs change.
Write the guidelines that shape model behavior. Author and iterate labeling guidelines and annotation rubrics, especially for subjective, high-stakes clinical judgment.
Engineer data quality at scale. Design QC systems using gold sets, calibration sessions, spot checks, and inter-rater agreement tracking. Catch rater drift and annotation bottlenecks before they reach training.
Drive velocity and accountability. Track throughput, cost, and quality. Manage vendor relationships (SOWs, performance reviews), choose labeling and QA tooling, and keep Engineering, Clinical, and Infrastructure aligned on dependencies and timelines.
By Day 90: You own a live data labeling or eval program through a major delivery milestone. You’ve cleared a critical bottleneck in the pipeline and shipped one measurable quality or throughput improvement.
By 12 months: You run multiple concurrent labeling and eval programs. Your calibrated rater bench is trusted by ML teams, and you can trace model improvements back to the data you delivered.
5+ years in technical program management or data operations in an AI/ML or data-intensive environment (3+ years considered for exceptional candidates)
2+ years hands-on with data labeling, annotation, or model evaluation, including writing guidelines and managing quality at scale
Experience sourcing and managing contractor or expert annotator workforces through marketplaces (e.g., Mercor, Upwork, Toloka) or labeling vendors
Working knowledge of how annotation quality affects model training, including preference data, pairwise comparisons, and rater calibration (RLHF)
A strong grasp of quality metrics (IAA, precision/recall on gold sets, throughput vs. accuracy tradeoffs)
A track record of owning critical data or eval projects under time pressure, working with ML engineers and applied scientists, and driving results without direct authority
Comfort with ambiguity in a fast-moving, healthcare-adjacent AI environment
Experience running or supporting RLHF or other training-data pipelines at an AI lab or applied ML team
Clinical, healthcare, or other regulated, high-stakes data experience
Familiarity with Label Studio, Scale AI, Surge AI, or SageMaker Ground Truth
Experience qualifying specialized raters such as clinicians or bilingual SMEs
Exposure to reward hacking and specification gaming, and how annotation design can mitigate them
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.
Hippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.
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.
","descriptionPlain":"ABOUT THE ROLE\n\nFrontier models are only as good as the data they learn from. At Hippocratic AI, that data decides whether an AI agent safely guides a patient through a medication change at 2 a.m.\n\nOur data powers Polaris, a constellation of models with a 700B-parameter core and specialized safety supervisors. In our evaluations, Polaris reaches 99.95% accuracy on drug-safety benchmarks versus 87.9% for the closest voice-deployable frontier model. The labeling, evals, and rater calibration behind it are how we earn and defend numbers like that.\n\nWe’re hiring a Technical Program Manager to run the human-in-the-loop data labeling engine behind our frontier healthcare AI. That spans audio and conversation annotation, clinician-labeled training data, preference and RLHF data, and the evaluations that decide what ships. You’ll work daily with ML researchers, applied scientists, and licensed clinicians. The data you produce feeds directly into our model training and evaluation loops.\n\n\nWHAT YOU’LL DO\n\n - Run the data pipelines behind our models. Own end-to-end delivery of labeling and annotation programs, including audio and voice-conversation labeling, supervised labeling, and preference and RLHF data. You’ll manage scoping, task design, execution, QA, and delivery against live model-development cycles.\n\n - Turn evals into products. Work with ML and Applied Science to turn evaluation and training-signal needs into concrete labeling tasks, rubrics, and success criteria. Your evals become the benchmarks that gate releases.\n\n - Build and scale an expert rater workforce. Source, screen, and onboard clinicians and specialized raters through marketplaces, vendors, and in-house teams. This includes designing qualification tasks, setting rates, and scaling pools up and down as programs change.\n\n - Write the guidelines that shape model behavior. Author and iterate labeling guidelines and annotation rubrics, especially for subjective, high-stakes clinical judgment.\n\n - Engineer data quality at scale. Design QC systems using gold sets, calibration sessions, spot checks, and inter-rater agreement tracking. Catch rater drift and annotation bottlenecks before they reach training.\n\n - Drive velocity and accountability. Track throughput, cost, and quality. Manage vendor relationships (SOWs, performance reviews), choose labeling and QA tooling, and keep Engineering, Clinical, and Infrastructure aligned on dependencies and timelines.\n\n\nWHAT SUCCESS LOOKS LIKE\n\n - By Day 90: You own a live data labeling or eval program through a major delivery milestone. You’ve cleared a critical bottleneck in the pipeline and shipped one measurable quality or throughput improvement.\n\n - By 12 months: You run multiple concurrent labeling and eval programs. Your calibrated rater bench is trusted by ML teams, and you can trace model improvements back to the data you delivered.\n\n\nWHAT YOU BRING\n\n - 5+ years in technical program management or data operations in an AI/ML or data-intensive environment (3+ years considered for exceptional candidates)\n\n - 2+ years hands-on with data labeling, annotation, or model evaluation, including writing guidelines and managing quality at scale\n\n - Experience sourcing and managing contractor or expert annotator workforces through marketplaces (e.g., Mercor, Upwork, Toloka) or labeling vendors\n\n - Working knowledge of how annotation quality affects model training, including preference data, pairwise comparisons, and rater calibration (RLHF)\n\n - A strong grasp of quality metrics (IAA, precision/recall on gold sets, throughput vs. accuracy tradeoffs)\n\n - A track record of owning critical data or eval projects under time pressure, working with ML engineers and applied scientists, and driving results without direct authority\n\n - Comfort with ambiguity in a fast-moving, healthcare-adjacent AI environment\n\n\nNICE TO HAVE\n\n - Experience running or supporting RLHF or other training-data pipelines at an AI lab or applied ML team\n\n - Clinical, healthcare, or other regulated, high-stakes data experience\n\n - Familiarity with Label Studio, Scale AI, Surge AI, or SageMaker Ground Truth\n\n - Experience qualifying specialized raters such as clinicians or bilingual SMEs\n\n - Exposure to reward hacking and specification gaming, and how annotation design can mitigate them\n\n\nWHY JOIN HIPPOCRATIC AI\n\nReinvent 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.\n\nWork 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.\n\nBacked 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.\n\nBuild 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.\n\n\nEQUAL OPPORTUNITY\n\nHippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.\n\nPlease be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com http://hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process."},{"id":"32a71060-b389-4339-b52d-93048d718e61","title":"Deployment Strategist","department":"Customer Experience","team":"Deployment Solutions","employmentType":"FullTime","location":"United States","secondaryLocations":[],"publishedAt":"2026-09-23T23:54:38.172+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/32a71060-b389-4339-b52d-93048d718e61","applyUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/32a71060-b389-4339-b52d-93048d718e61/application","descriptionHtml":"As a Deployment Strategist at Hippocratic AI, you own healthcare AI deployments end-to-end — from workflow discovery and solution design, through hands-on build/configuration, launch, adoption, and measurable business impact — for health systems, providers, payors, or life sciences organizations. You'll own a defined deployment workstream or major customer milestone: establishing stakeholder relationships, identifying technical and operational dependencies, and driving a clear path to measurable value in real clinical and operational environments.
This role exists because successful AI deployments in healthcare require more than project management alone. It requires someone who understands clinical and operational workflows, can build trust with executive customer stakeholders, can connect product capabilities to operational needs, and can drive hands-on technical execution through ambiguity. You will serve as both a strategic partner and an execution lead — combining technical delivery, healthcare operations fluency, and executive customer partnership to help customers move from interest to implementation to lasting impact.
You’ll work alongside engineers, product managers, customer success partners, and clinical experts, partnering closely with customers while staying deeply connected to internal cross functional teams. You’ll operate with significant ownership, balancing strategic customer guidance with day to day execution. This is a team that values customer obsession, clear communication, operational rigor, and practical problem solving in real healthcare setting.
Get to the real problem behind what the customer is asking for — understand their business deeply enough to scope a solution that actually meets their objectives
Design and build agents capable of handling complex, high-stakes healthcare conversations
Map how data moves: from the customer's systems into the conversation, and from the conversation back out as insight. Scope what needs to be built to make that flow work, and partner with engineering to ship it
Own the implementation end to end: everything including bringing customer stakeholders along on adopting AI, configuring the agent to their workflows, managing timelines, documenting solutions, and getting ahead of blockers before they become problems. You’ll have a broad set of responsibilities from partnering with customer operational leaders to configuring call schedules.
Work with forward deployed engineers to spec new AI features to enhance customer deployments
Capture learnings from deployments and turn them into repeatable playbooks, templates, and best practices that improve future implementations
Develop analytics and create dashboards to track deployment performance
Use deployment insights to inform internal product and process improvements, helping the organization deliver more effectively at scale
This is a United States-based role open to candidates across multiple markets. We welcome applications from candidates located throughout the U.S. Specific placement, travel expectations, and regional alignment will be determined during the hiring process based on customer proximity, deployment portfolio needs, and your location. You should expect regular travel, typically 25 to 40% depending on deployment schedule, for on site implementation support, customer meetings, training, and go live activities.
4+ years of relevant experience in deployment, implementation, strategic operations, consulting, solution architecture, or technical program management — however that experience was accrued
Direct experience serving healthcare customers, or working inside a healthcare organization
Working knowledge of provider-side, payor-side, or life sciences workflows, operations, and organizational dynamics
Demonstrated ability to reason about data models: you can interrogate a schema you have not seen before, build or direct an analysis against it, and tell when an output is wrong
Hands-on comfort with engineering systems — JSON files, terminals, command-line coding assistants, and git workflows
A track record of project-managing complex customer engagements across operational, clinical, IT, and executive stakeholders simultaneously
BA/BS in a technical field (engineering, science, analytics, economics, or similar)
SQL
Epic experience, including Clarity, Caboodle, or Cogito work, or Epic certification
A clinical background — RN, BSN, clinical informatics, or similar
Forward-deployed, implementation, or solutions work at an AI, data platform, or health-tech company
HL7 or FHIR fluency
Experience with utilization management, prior authorization, care management, revenue cycle, or value-based care programs
Prior exposure to LLM-based or agentic products in production
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.
Hippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.
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.
","descriptionPlain":"DEPLOYMENT STRATEGIST MISSION\n\nAs a Deployment Strategist at Hippocratic AI, you own healthcare AI deployments end-to-end — from workflow discovery and solution design, through hands-on build/configuration, launch, adoption, and measurable business impact — for health systems, providers, payors, or life sciences organizations. You'll own a defined deployment workstream or major customer milestone: establishing stakeholder relationships, identifying technical and operational dependencies, and driving a clear path to measurable value in real clinical and operational environments.\n\nThis role exists because successful AI deployments in healthcare require more than project management alone. It requires someone who understands clinical and operational workflows, can build trust with executive customer stakeholders, can connect product capabilities to operational needs, and can drive hands-on technical execution through ambiguity. You will serve as both a strategic partner and an execution lead — combining technical delivery, healthcare operations fluency, and executive customer partnership to help customers move from interest to implementation to lasting impact.\n\n\nTHE TEAM\n\nYou’ll work alongside engineers, product managers, customer success partners, and clinical experts, partnering closely with customers while staying deeply connected to internal cross functional teams. You’ll operate with significant ownership, balancing strategic customer guidance with day to day execution. This is a team that values customer obsession, clear communication, operational rigor, and practical problem solving in real healthcare setting.\n\n\n\n\nWHAT YOU'LL DO\n\n - Get to the real problem behind what the customer is asking for — understand their business deeply enough to scope a solution that actually meets their objectives\n\n - Design and build agents capable of handling complex, high-stakes healthcare conversations\n\n - Map how data moves: from the customer's systems into the conversation, and from the conversation back out as insight. Scope what needs to be built to make that flow work, and partner with engineering to ship it\n\n - Own the implementation end to end: everything including bringing customer stakeholders along on adopting AI, configuring the agent to their workflows, managing timelines, documenting solutions, and getting ahead of blockers before they become problems. You’ll have a broad set of responsibilities from partnering with customer operational leaders to configuring call schedules.\n\n - Work with forward deployed engineers to spec new AI features to enhance customer deployments\n\n - Capture learnings from deployments and turn them into repeatable playbooks, templates, and best practices that improve future implementations\n\n - Develop analytics and create dashboards to track deployment performance\n\n - Use deployment insights to inform internal product and process improvements, helping the organization deliver more effectively at scale\n\n\nLOCATION REQUIREMENT\n\nThis is a United States-based role open to candidates across multiple markets. We welcome applications from candidates located throughout the U.S. Specific placement, travel expectations, and regional alignment will be determined during the hiring process based on customer proximity, deployment portfolio needs, and your location. You should expect regular travel, typically 25 to 40% depending on deployment schedule, for on site implementation support, customer meetings, training, and go live activities.\n\n\n\n\nMUST HAVES\n\n - 4+ years of relevant experience in deployment, implementation, strategic operations, consulting, solution architecture, or technical program management — however that experience was accrued\n\n - Direct experience serving healthcare customers, or working inside a healthcare organization\n\n - Working knowledge of provider-side, payor-side, or life sciences workflows, operations, and organizational dynamics\n\n - Demonstrated ability to reason about data models: you can interrogate a schema you have not seen before, build or direct an analysis against it, and tell when an output is wrong\n\n - Hands-on comfort with engineering systems — JSON files, terminals, command-line coding assistants, and git workflows\n\n - A track record of project-managing complex customer engagements across operational, clinical, IT, and executive stakeholders simultaneously\n\n - BA/BS in a technical field (engineering, science, analytics, economics, or similar)\n\n\nNICE TO HAVES\n\n - SQL\n\n - Epic experience, including Clarity, Caboodle, or Cogito work, or Epic certification\n\n - A clinical background — RN, BSN, clinical informatics, or similar\n\n - Forward-deployed, implementation, or solutions work at an AI, data platform, or health-tech company\n\n - HL7 or FHIR fluency\n\n - Experience with utilization management, prior authorization, care management, revenue cycle, or value-based care programs\n\n - Prior exposure to LLM-based or agentic products in production\n\n\nWHY JOIN HIPPOCRATIC AI\n\nReinvent 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.\n\nWork 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.\n\nBacked 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.\n\nBuild 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.\n\n\nEQUAL OPPORTUNITY\n\nHippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.\n\nPlease be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com http://hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process."},{"id":"eb7441fd-043b-42f8-b19e-14a6272d18fe","title":"Agent Deployment Architect","department":"Customer Experience","team":"Deployment Solutions","employmentType":"FullTime","location":"United States","secondaryLocations":[],"publishedAt":"2026-09-24T04:29:11.232+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/eb7441fd-043b-42f8-b19e-14a6272d18fe","applyUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/eb7441fd-043b-42f8-b19e-14a6272d18fe/application","descriptionHtml":"As Agent Deployment Architect at Hippocratic AI, you will lead high-impact deployments that translate breakthrough AI into operational reality for health systems. You'll work embedded with customers to design, implement, and scale solutions that deliver measurable clinical and operational value—partnering with stakeholders to navigate complex provider environments and turn requirements into successful deployments. This role exists because deploying AI into health systems requires someone who understands both the technical architecture and the human workflows that make healthcare work—someone who can be a trusted advisor to customers while driving execution across functions.
Own your first major outcome: By day 90, you will have completed your first health system deployment from design through successful go-live, established strong relationships with key customer stakeholders, shipped documented playbooks and best practices from that deployment, and identified systemic improvements that can accelerate future implementations.
Drive lasting impact: At 12 months, you will have led multiple provider deployments across different health systems and use cases, standardized deployment playbooks and operating models that make each successive implementation faster, become the trusted advisor that customers and internal teams turn to for deployment guidance, and directly proven that thoughtful deployment work translates AI research into measurable clinical and operational impact at scale.
You'll work alongside Deployment Strategists, engineers, product managers, and clinical experts—embedded with customers while staying connected to cross-functional teams. You'll operate with high autonomy in the field while having direct access to subject matter experts. This is a culture that values execution, customer obsession, and solving problems in real healthcare environments.
Lead deployment planning and execution for provider customers end-to-end—owning timelines, scope, risk management, and ensuring successful go-live across diverse health system environments
Partner with customer stakeholders to understand operational workflows, clinical requirements, organizational constraints, and strategic goals—translating them into clear, actionable deployment designs
Translate implementation requirements into scalable solution designs that work across different provider types, EHR systems, and care delivery models—balancing customization with standardization
Drive cross-functional coordination across deployment, product, engineering, and go-to-market teams—ensuring alignment, unblocking issues, and keeping deployments on track through strong project ownership
Identify and resolve deployment risks proactively—flagging potential blockers early, collaborating on solutions, and maintaining momentum through complex healthcare operational challenges
Design and standardize deployment best practices, playbooks, and operating models based on learnings from each implementation—codifying what works so future deployments are faster, more reliable, and more scalable
Serve as trusted advisor to customers during rollout and adoption—helping them navigate change management, training clinical and operational teams, and ensuring they achieve their desired outcomes
This is a United States-based role open to candidates across multiple markets. We welcome applications from providers and healthcare professionals in the U.S. Specific placement, travel expectations, and regional alignment will be determined during the hiring process based on your location, customer proximity, and deployment portfolio needs. You should expect regular travel (typically 25–40% depending on deployment schedule) to customer sites for on-site implementation work, training, and go-live support.
Experience in deployment, implementation, solutions architecture, technical consulting, or a related customer-facing role working with enterprise or healthcare customers
Strong understanding of provider-side healthcare workflows, operations, and systems—either from direct experience working in health systems or from implementing solutions in provider environments
Proven ability to manage complex customer engagements with multiple stakeholders across clinical, operational, IT, and executive levels—navigating competing priorities and building alignment
Excellent communication skills, especially in translating between business and technical audiences—able to explain complex technical concepts to non-technical stakeholders and vice versa
Strong problem-solving skills with comfort working in ambiguous, fast-moving environments where requirements evolve and challenges are novel
Track record of driving execution and delivering results across cross-functional teams—demonstrating ownership, accountability, and ability to move projects forward despite obstacles
required BA/BS degree
Direct experience working with hospitals, health systems, provider groups, or adjacent provider organizations in a deployment, implementation, or consulting capacity
Deep familiarity with healthcare operational workflows and implementation challenges—including EHR integration, clinical workflow mapping, change management, and regulatory requirements
Experience designing and scaling repeatable deployment processes across multiple customer environments—building playbooks and frameworks that work across different provider types
Track record of balancing strategic planning with hands-on execution—comfortable doing both high-level architecture and detailed implementation work
Familiarity with healthcare compliance and operational requirements (HIPAA, state regulations, quality reporting, clinical governance)
Experience with AI, digital health, or clinical decision support tools deployed in healthcare settings
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.
Hippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.
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.
","descriptionPlain":"AGENT DEPLOYMENT ARCHITECT MISSION\n\nAs Agent Deployment Architect at Hippocratic AI, you will lead high-impact deployments that translate breakthrough AI into operational reality for health systems. You'll work embedded with customers to design, implement, and scale solutions that deliver measurable clinical and operational value—partnering with stakeholders to navigate complex provider environments and turn requirements into successful deployments. This role exists because deploying AI into health systems requires someone who understands both the technical architecture and the human workflows that make healthcare work—someone who can be a trusted advisor to customers while driving execution across functions.\n\n \n\n\nWHAT YOU WILL ACCOMPLISH\n\nOwn your first major outcome: By day 90, you will have completed your first health system deployment from design through successful go-live, established strong relationships with key customer stakeholders, shipped documented playbooks and best practices from that deployment, and identified systemic improvements that can accelerate future implementations.\n\nDrive lasting impact: At 12 months, you will have led multiple provider deployments across different health systems and use cases, standardized deployment playbooks and operating models that make each successive implementation faster, become the trusted advisor that customers and internal teams turn to for deployment guidance, and directly proven that thoughtful deployment work translates AI research into measurable clinical and operational impact at scale.\n\n \n\n\nTHE TEAM\n\nYou'll work alongside Deployment Strategists, engineers, product managers, and clinical experts—embedded with customers while staying connected to cross-functional teams. You'll operate with high autonomy in the field while having direct access to subject matter experts. This is a culture that values execution, customer obsession, and solving problems in real healthcare environments.\n\n \n\n\nWHAT YOU'LL DO\n\n - Lead deployment planning and execution for provider customers end-to-end—owning timelines, scope, risk management, and ensuring successful go-live across diverse health system environments\n\n - Partner with customer stakeholders to understand operational workflows, clinical requirements, organizational constraints, and strategic goals—translating them into clear, actionable deployment designs\n\n - Translate implementation requirements into scalable solution designs that work across different provider types, EHR systems, and care delivery models—balancing customization with standardization\n\n - Drive cross-functional coordination across deployment, product, engineering, and go-to-market teams—ensuring alignment, unblocking issues, and keeping deployments on track through strong project ownership\n\n - Identify and resolve deployment risks proactively—flagging potential blockers early, collaborating on solutions, and maintaining momentum through complex healthcare operational challenges\n\n - Design and standardize deployment best practices, playbooks, and operating models based on learnings from each implementation—codifying what works so future deployments are faster, more reliable, and more scalable\n\n - Serve as trusted advisor to customers during rollout and adoption—helping them navigate change management, training clinical and operational teams, and ensuring they achieve their desired outcomes\n\n\nLOCATION REQUIREMENT\n\nThis is a United States-based role open to candidates across multiple markets. We welcome applications from providers and healthcare professionals in the U.S. Specific placement, travel expectations, and regional alignment will be determined during the hiring process based on your location, customer proximity, and deployment portfolio needs. You should expect regular travel (typically 25–40% depending on deployment schedule) to customer sites for on-site implementation work, training, and go-live support.\n\n \n\n\nREQUIRED QUALIFICATIONS\n\n - Experience in deployment, implementation, solutions architecture, technical consulting, or a related customer-facing role working with enterprise or healthcare customers\n\n - Strong understanding of provider-side healthcare workflows, operations, and systems—either from direct experience working in health systems or from implementing solutions in provider environments\n\n - Proven ability to manage complex customer engagements with multiple stakeholders across clinical, operational, IT, and executive levels—navigating competing priorities and building alignment\n\n - Excellent communication skills, especially in translating between business and technical audiences—able to explain complex technical concepts to non-technical stakeholders and vice versa\n\n - Strong problem-solving skills with comfort working in ambiguous, fast-moving environments where requirements evolve and challenges are novel\n\n - Track record of driving execution and delivering results across cross-functional teams—demonstrating ownership, accountability, and ability to move projects forward despite obstacles\n\n - required BA/BS degree\n\n \n\n\nPREFERRED QUALIFICATIONS\n\n - Direct experience working with hospitals, health systems, provider groups, or adjacent provider organizations in a deployment, implementation, or consulting capacity\n\n - Deep familiarity with healthcare operational workflows and implementation challenges—including EHR integration, clinical workflow mapping, change management, and regulatory requirements\n\n - Experience designing and scaling repeatable deployment processes across multiple customer environments—building playbooks and frameworks that work across different provider types\n\n - Track record of balancing strategic planning with hands-on execution—comfortable doing both high-level architecture and detailed implementation work\n\n - Familiarity with healthcare compliance and operational requirements (HIPAA, state regulations, quality reporting, clinical governance)\n\n - Experience with AI, digital health, or clinical decision support tools deployed in healthcare settings\n\n\nWHY JOIN HIPPOCRATIC AI\n\nReinvent 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.\n\nWork 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.\n\nBacked 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.\n\nBuild 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.\n\n\nEQUAL OPPORTUNITY\n\nHippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.\n\nPlease be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com http://hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process."},{"id":"8ed3431d-10d2-4b7f-a677-fa29a526e2ca","title":"Customer Success Executive ","department":"Customer Experience","team":"Customer Success","employmentType":"FullTime","location":"United States","secondaryLocations":[],"publishedAt":"2026-10-16T00:02:35.279+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/8ed3431d-10d2-4b7f-a677-fa29a526e2ca","applyUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/8ed3431d-10d2-4b7f-a677-fa29a526e2ca/application","descriptionHtml":"The healthcare industry is embracing AI and looking to transform. The limiting factors: implementation speed and clear ROI definition. You change that.
At Hippocratic AI, we're the only generative AI platform built for safe, autonomous clinical conversations with patients. Our systems achieve 99.9%+ accuracy and are trusted by leading health systems nationwide. But our technology is only as good as the implementations behind it.
We need a Customer Success Executive who is as comfortable in a CMO's boardroom presenting 6-month outcomes as you are in a nursing unit discovering workflows. You'll own the entire post-sale journey for assigned health systems across the Central Region (Midwest + portions of South/Southeast)—from discovery through scaled adoption—becoming the operational heartbeat of our most strategic relationships.
This is hands-on, embedded partnership work. You'll spend 20-40% of your time onsite with our customers. You'll address problems and deliver solutions. You'll drive measurable clinical and operational outcomes. You'll influence product roadmap decisions. And you'll do it in a $3.5B company backed by healthcare's best investors.
Discovery & Scoping: You've led deep-dive workflow assessments with nursing leadership, IT, and operations teams. You understand exactly where Hippocratic AI creates value in their environment before implementation begins.
ROI Framework: You've built a customized success metrics dashboard with each client—tracking adoption rates, patient interaction volume, nurse time savings, care quality improvements, and operational efficiency gains. You present quarterly results to their C-suite.
Executive Relationships: You're on a first-name basis with 3-4 executives at each assigned health system (CMO, COO, Nursing VP, IT Director). They call you when they need things done. You're the trusted operational partner they lean on.
Technical Influence: You've identified 2-3 product gaps and successfully advocated for roadmap changes that benefit your accounts and the broader customer base. Engineering and Product respect your insights.
Implementation Momentum: You've led 2-3 full rollouts (pilot through scaled adoption) across units, managing timelines, coordinating training, removing blockers, and hitting adoption targets. Your teams are seeing real results—faster, measurable impact.
Strategic Expansion: You've mapped expansion opportunities and presented them to client leadership. You've grown wallet share or extended deployments into new clinical areas.
Implementation & Operationalization
Account & Relationship Management
ROI & Success Metrics
Technical Implementation & Problem-Solving
Training, Adoption & Change Management
Cross-Functional Collaboration
Must-Have
Bachelor's degree from an accredited university.
5+ years in health systems in customer success, account management, project management, or implementation roles. You understand how health systems work and how change happens inside them.
Proven track record leading complex implementations in clinical or operational environments. You've navigated multi-stakeholder environments, managed scope, handled difficult transitions, and delivered results.
Executive presence and communication skills. You can influence C-suite decision-makers, present data compellingly, and build trust across organizational hierarchies.
Deep understanding of healthcare workflows, clinical operations, and regulatory constraints. You don't need a clinical license, but you understand clinical work and respect it.
Project management excellence: scoping work, managing timelines, coordinating multiple work streams, and identifying/removing blockers. You're organized, proactive, and detail-oriented.
Technical fluency (not coding required). You understand system architecture, integrations, data requirements, and can translate between business and technical teams. You ask smart questions and learn quickly.
Ability to thrive autonomously in a client-embedded role. You're self-directed, resourceful, and comfortable operating with minimal daily supervision. You drive the relationship.
Willingness to travel: 20-40% of the time to assigned client sites, including multi-day and occasional overnight trips.
Ability to meet client credentialing requirements (background check, drug screening, proof of vaccinations/immunizations, etc.) as mandated by healthcare facilities.
Nice-to-Have
Experience in healthcare consulting, transformation initiatives, or system-wide digital health rollouts.
Background in healthcare technology sales engineering or post-sales technical roles.
Experience deploying AI, enterprise SaaS, or complex digital health solutions at scale.
Familiarity with healthcare compliance standards (HIPAA, clinical workflow requirements, etc.).
Track record of presenting outcomes, case studies, or best practices at industry conferences or executive forums.
Experience with ROI modeling, outcome measurement, and value-based care frameworks.
Travel: 20-40% travel to assigned client sites based on implementation phase, key milestones, and client needs. This includes multi-day onsite weeks and occasional overnight trips.
Location: Remote, with regular travel to your region
Reporting: VP of Customer Success
You're joining the future of safe, clinical AI. Hippocratic AI is the only generative AI platform built from the ground up for safe, autonomous clinical conversations. Our 99.9%+ accuracy has been earned through rigorous clinical training and validation.
The team is world-class. Founded by healthcare innovators, physicians, and AI pioneers from El Camino Health, Johns Hopkins, Washington University, Stanford, Google, Meta, Microsoft, and NVIDIA. You'll work alongside people who've spent careers transforming healthcare.
You're backed by the best. Recent $126M Series C at $3.5B valuation, led by Avenir Growth, with support from CapitalG, General Catalyst, a16z, Kleiner Perkins, and leading healthcare systems. We have the resources and runway to execute our vision.
You own meaningful relationships and real outcomes. This isn't a transactional, low-touch SaaS role. You'll see the direct impact of your work in real patient care and clinical operations. You'll build relationships that matter and solve problems that count.
You'll influence product and strategy. Your voice as the customer success leader shapes our roadmap and go-to-market approach. Your feedback directly impacts what we build next.
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.
Hippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.
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.
","descriptionPlain":"THE OPPORTUNITY\n\nThe healthcare industry is embracing AI and looking to transform. The limiting factors: implementation speed and clear ROI definition. You change that.\n\nAt Hippocratic AI, we're the only generative AI platform built for safe, autonomous clinical conversations with patients. Our systems achieve 99.9%+ accuracy and are trusted by leading health systems nationwide. But our technology is only as good as the implementations behind it.\n\nWe need a Customer Success Executive who is as comfortable in a CMO's boardroom presenting 6-month outcomes as you are in a nursing unit discovering workflows. You'll own the entire post-sale journey for assigned health systems across the Central Region (Midwest + portions of South/Southeast)—from discovery through scaled adoption—becoming the operational heartbeat of our most strategic relationships.\n\nThis is hands-on, embedded partnership work. You'll spend 20-40% of your time onsite with our customers. You'll address problems and deliver solutions. You'll drive measurable clinical and operational outcomes. You'll influence product roadmap decisions. And you'll do it in a $3.5B company backed by healthcare's best investors.\n\n \n\n\nWHAT SUCCESS LOOKS LIKE IN YEAR ONE\n\n - Discovery & Scoping: You've led deep-dive workflow assessments with nursing leadership, IT, and operations teams. You understand exactly where Hippocratic AI creates value in their environment before implementation begins.\n\n - ROI Framework: You've built a customized success metrics dashboard with each client—tracking adoption rates, patient interaction volume, nurse time savings, care quality improvements, and operational efficiency gains. You present quarterly results to their C-suite.\n\n - Executive Relationships: You're on a first-name basis with 3-4 executives at each assigned health system (CMO, COO, Nursing VP, IT Director). They call you when they need things done. You're the trusted operational partner they lean on.\n\n - Technical Influence: You've identified 2-3 product gaps and successfully advocated for roadmap changes that benefit your accounts and the broader customer base. Engineering and Product respect your insights.\n\n - Implementation Momentum: You've led 2-3 full rollouts (pilot through scaled adoption) across units, managing timelines, coordinating training, removing blockers, and hitting adoption targets. Your teams are seeing real results—faster, measurable impact.\n\n - Strategic Expansion: You've mapped expansion opportunities and presented them to client leadership. You've grown wallet share or extended deployments into new clinical areas.\n\n\nYOUR CORE RESPONSIBILITIES\n\n - Implementation & Operationalization\n\n - Account & Relationship Management\n\n - ROI & Success Metrics\n\n - Technical Implementation & Problem-Solving\n\n - Training, Adoption & Change Management\n\n - Cross-Functional Collaboration\n\n \n\n\nWHAT YOU BRING\n\nMust-Have\n\n - Bachelor's degree from an accredited university.\n\n - 5+ years in health systems in customer success, account management, project management, or implementation roles. You understand how health systems work and how change happens inside them.\n\n - Proven track record leading complex implementations in clinical or operational environments. You've navigated multi-stakeholder environments, managed scope, handled difficult transitions, and delivered results.\n\n - Executive presence and communication skills. You can influence C-suite decision-makers, present data compellingly, and build trust across organizational hierarchies.\n\n - Deep understanding of healthcare workflows, clinical operations, and regulatory constraints. You don't need a clinical license, but you understand clinical work and respect it.\n\n - Project management excellence: scoping work, managing timelines, coordinating multiple work streams, and identifying/removing blockers. You're organized, proactive, and detail-oriented.\n\n - Technical fluency (not coding required). You understand system architecture, integrations, data requirements, and can translate between business and technical teams. You ask smart questions and learn quickly.\n\n - Ability to thrive autonomously in a client-embedded role. You're self-directed, resourceful, and comfortable operating with minimal daily supervision. You drive the relationship.\n\n - Willingness to travel: 20-40% of the time to assigned client sites, including multi-day and occasional overnight trips.\n\n - Ability to meet client credentialing requirements (background check, drug screening, proof of vaccinations/immunizations, etc.) as mandated by healthcare facilities.\n\nNice-to-Have\n\n - Experience in healthcare consulting, transformation initiatives, or system-wide digital health rollouts.\n\n - Background in healthcare technology sales engineering or post-sales technical roles.\n\n - Experience deploying AI, enterprise SaaS, or complex digital health solutions at scale.\n\n - Familiarity with healthcare compliance standards (HIPAA, clinical workflow requirements, etc.).\n\n - Track record of presenting outcomes, case studies, or best practices at industry conferences or executive forums.\n\n - Experience with ROI modeling, outcome measurement, and value-based care frameworks.\n\n \n\n\nTHE DETAILS\n\nTravel: 20-40% travel to assigned client sites based on implementation phase, key milestones, and client needs. This includes multi-day onsite weeks and occasional overnight trips.\n\nLocation: Remote, with regular travel to your region\n\nReporting: VP of Customer Success\n\n \n\n\nWHY HIPPOCRATIC AI\n\n - You're joining the future of safe, clinical AI. Hippocratic AI is the only generative AI platform built from the ground up for safe, autonomous clinical conversations. Our 99.9%+ accuracy has been earned through rigorous clinical training and validation.\n\n - The team is world-class. Founded by healthcare innovators, physicians, and AI pioneers from El Camino Health, Johns Hopkins, Washington University, Stanford, Google, Meta, Microsoft, and NVIDIA. You'll work alongside people who've spent careers transforming healthcare.\n\n - You're backed by the best. Recent $126M Series C at $3.5B valuation, led by Avenir Growth, with support from CapitalG, General Catalyst, a16z, Kleiner Perkins, and leading healthcare systems. We have the resources and runway to execute our vision.\n\n - You own meaningful relationships and real outcomes. This isn't a transactional, low-touch SaaS role. You'll see the direct impact of your work in real patient care and clinical operations. You'll build relationships that matter and solve problems that count.\n\n - You'll influence product and strategy. Your voice as the customer success leader shapes our roadmap and go-to-market approach. Your feedback directly impacts what we build next.\n\n\nWHY JOIN HIPPOCRATIC AI\n\nReinvent 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.\n\nWork 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.\n\nBacked 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.\n\nBuild 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.\n\n\nEQUAL OPPORTUNITY\n\nHippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.\n\nPlease be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com http://hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process."},{"id":"873d8ad7-9f41-48af-82a9-93ea6ed9139d","title":"Forward Deployed Engineer (Mid/Senior) - Remote w/Travel","department":"Customer Experience","team":"Customer Site Engineering","employmentType":"FullTime","location":"United States","secondaryLocations":[],"publishedAt":"2026-09-30T16:59:58.754+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/873d8ad7-9f41-48af-82a9-93ea6ed9139d","applyUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/873d8ad7-9f41-48af-82a9-93ea6ed9139d/application","descriptionHtml":"As HAI's Forward Deployed Engineer, you will be the technical owner of AI deployments that directly transform how health systems operate. You'll embed with customers to build, launch, and operate production conversational AI agents—architecting systems that handle real clinical workflows and impact thousands of patient interactions. This role exists because healthcare organizations are ready to deploy breakthrough AI at scale, and they need a world-class AI engineer who can build reliable, innovative systems in the field.
Own your first major outcome: By day 90, you will have completed end-to-end ownership of your first AI deployment: designed and implemented a RAG pipeline grounded in customer data, built tool-calling and MCP integrations connecting our agents to customer systems (EHRs, data warehouses, operational tools), executed a production go-live with zero surprises, and established monitoring that catches anomalies before customers do.
Drive lasting impact: At 12 months, you will have deployed multiple agents across your assigned health system, built reusable AI patterns and frameworks that accelerate future deployments, become the trusted technical partner that customers rely on to solve their hardest AI problems, and generate measurable evidence that our agents improve operational reliability and clinical outcomes—validating our technology in production healthcare environments.
You'll work alongside Deployment Strategists, engineers, and clinical experts—embedded with customers but tightly connected to our core AI team. You'll operate with high technical ownership and autonomy in the field, with direct access to our product, ML research, and engineering leadership. This is a culture of shipping real systems, owning outcomes, and solving problems before they become crises.
Design and implement RAG pipelines that ground conversational AI responses in customer clinical data, ensuring accuracy, safety, and relevance to healthcare workflows while managing retrieval latency and data governance
Build tool-calling and Model Context Protocol (MCP) architectures that enable AI agents to interact securely with customer systems—EHRs (Epic, Cerner, Athena), data warehouses, and operational tools—handling errors gracefully and enforcing safety constraints
Develop production Python code using LangChain, LangSmith, and modern AI frameworks to implement advanced LLM techniques (RAG, prompt engineering, LLM-as-judge, chain-of-thought reasoning) solving novel healthcare AI problems
Execute end-to-end deployments including infrastructure setup, integration testing, production monitoring configuration, cutover planning, and go-live execution—ensuring deployments happen on schedule without surprises
Monitor and own production systems by instrumenting deployed agents, responding quickly to incidents, troubleshooting issues collaboratively with customers, and implementing fixes that keep systems running reliably
Partner with customers as technical expert, explaining AI system architecture, helping teams understand capabilities and limitations, and building confidence in the solution through proactive communication and problem-solving
Location and Travel Requirements
The role can be based in any of the 41 states, except the following:
Alaska
Connecticut
Delaware
North Dakota
West Virginia
New Mexico
Hawaii
This role has a travel requirements of 25-40%.
Bachelor's degree in Computer Science, Software Engineering, or a related technical field
3+ years of professional software engineering experience with strong Python fundamentals and production software development experience
Hands-on experience with LLM frameworks (LangChain, LangSmith, or similar) and deep understanding of modern LLM development patterns and best practices
Deep expertise in LLM techniques including retrieval-augmented generation (RAG), prompt engineering, tool calling, LLM-as-judge, and related advanced patterns
Demonstrated experience building integrations with APIs, databases, or enterprise systems; comfort with async patterns, error handling, and reliability engineering
Experience with Model Context Protocol (MCP) or similar frameworks for tool integration and multi-system orchestration
Healthcare IT experience, including EHR integrations (Epic, Cerner, Athena), FHIR, HL7, or healthcare data standards
Production DevOps or infrastructure experience, including setting up monitoring, alerting, logging, and incident response systems
Track record deploying AI systems or working with LLMs in production environments, managing latency, reliability, and operational complexity
Experience in mission-critical or safety-sensitive systems where reliability and error handling are non-negotiable
Startup or high-growth technology background, particularly in technical leadership or ownership roles
Our comprehensive compensation package is designed to reward your expertise and includes both a competitive base salary and valuable stock options. Individual offers are determined based on a variety of factors, including your professional experience, core competencies, and geographic location.
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.
Hippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.
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.
","descriptionPlain":"ABOUT THE ROLE\n\n\nROLE MISSION\n\nAs HAI's Forward Deployed Engineer, you will be the technical owner of AI deployments that directly transform how health systems operate. You'll embed with customers to build, launch, and operate production conversational AI agents—architecting systems that handle real clinical workflows and impact thousands of patient interactions. This role exists because healthcare organizations are ready to deploy breakthrough AI at scale, and they need a world-class AI engineer who can build reliable, innovative systems in the field.\n\n\nWHAT YOU WILL ACCOMPLISH\n\nOwn your first major outcome: By day 90, you will have completed end-to-end ownership of your first AI deployment: designed and implemented a RAG pipeline grounded in customer data, built tool-calling and MCP integrations connecting our agents to customer systems (EHRs, data warehouses, operational tools), executed a production go-live with zero surprises, and established monitoring that catches anomalies before customers do.\n\nDrive lasting impact: At 12 months, you will have deployed multiple agents across your assigned health system, built reusable AI patterns and frameworks that accelerate future deployments, become the trusted technical partner that customers rely on to solve their hardest AI problems, and generate measurable evidence that our agents improve operational reliability and clinical outcomes—validating our technology in production healthcare environments.\n\n\nTHE TEAM\n\nYou'll work alongside Deployment Strategists, engineers, and clinical experts—embedded with customers but tightly connected to our core AI team. You'll operate with high technical ownership and autonomy in the field, with direct access to our product, ML research, and engineering leadership. This is a culture of shipping real systems, owning outcomes, and solving problems before they become crises.\n\n\nWHAT YOU WILL DO\n\n - Design and implement RAG pipelines that ground conversational AI responses in customer clinical data, ensuring accuracy, safety, and relevance to healthcare workflows while managing retrieval latency and data governance\n\n - Build tool-calling and Model Context Protocol (MCP) architectures that enable AI agents to interact securely with customer systems—EHRs (Epic, Cerner, Athena), data warehouses, and operational tools—handling errors gracefully and enforcing safety constraints\n\n - Develop production Python code using LangChain, LangSmith, and modern AI frameworks to implement advanced LLM techniques (RAG, prompt engineering, LLM-as-judge, chain-of-thought reasoning) solving novel healthcare AI problems\n\n - Execute end-to-end deployments including infrastructure setup, integration testing, production monitoring configuration, cutover planning, and go-live execution—ensuring deployments happen on schedule without surprises\n\n - Monitor and own production systems by instrumenting deployed agents, responding quickly to incidents, troubleshooting issues collaboratively with customers, and implementing fixes that keep systems running reliably\n\n - Partner with customers as technical expert, explaining AI system architecture, helping teams understand capabilities and limitations, and building confidence in the solution through proactive communication and problem-solving\n\nLocation and Travel Requirements\n\nThe role can be based in any of the 41 states, except the following: \n\n 1. Alaska\n\n 2. Connecticut\n\n 3. Delaware\n\n 4. North Dakota\n\n 5. West Virginia\n\n 6. New Mexico\n\n 7. Hawaii \n\nThis role has a travel requirements of 25-40%. \n\n\n\n\nBASIC QUALIFICATIONS\n\n - Bachelor's degree in Computer Science, Software Engineering, or a related technical field\n\n - 3+ years of professional software engineering experience with strong Python fundamentals and production software development experience\n\n - Hands-on experience with LLM frameworks (LangChain, LangSmith, or similar) and deep understanding of modern LLM development patterns and best practices\n\n - Deep expertise in LLM techniques including retrieval-augmented generation (RAG), prompt engineering, tool calling, LLM-as-judge, and related advanced patterns\n\n - Demonstrated experience building integrations with APIs, databases, or enterprise systems; comfort with async patterns, error handling, and reliability engineering\n\n\nPREFERRED QUALIFICATIONS\n\n - Experience with Model Context Protocol (MCP) or similar frameworks for tool integration and multi-system orchestration\n\n - Healthcare IT experience, including EHR integrations (Epic, Cerner, Athena), FHIR, HL7, or healthcare data standards\n\n - Production DevOps or infrastructure experience, including setting up monitoring, alerting, logging, and incident response systems\n\n - Track record deploying AI systems or working with LLMs in production environments, managing latency, reliability, and operational complexity\n\n - Experience in mission-critical or safety-sensitive systems where reliability and error handling are non-negotiable\n\n - Startup or high-growth technology background, particularly in technical leadership or ownership roles\n\nOur comprehensive compensation package is designed to reward your expertise and includes both a competitive base salary and valuable stock options. Individual offers are determined based on a variety of factors, including your professional experience, core competencies, and geographic location.\n\n\nWHY JOIN HIPPOCRATIC AI\n\nReinvent 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.\n\nWork 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.\n\nBacked 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.\n\nBuild 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.\n\n\nEQUAL OPPORTUNITY\n\nHippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.\n\nPlease be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com http://hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process."},{"id":"19ad8d52-10ab-42ab-9a88-4df656040823","title":"Vice President, Customer Success (Columbus, OH)","department":"Sales & Marketing","team":"Sales","employmentType":"FullTime","location":"Columbus, OH","secondaryLocations":[],"publishedAt":"2026-10-02T16:38:22.691+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"Ohio","addressCountry":"United States","addressLocality":"Columbus"}},"jobUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/19ad8d52-10ab-42ab-9a88-4df656040823","applyUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/19ad8d52-10ab-42ab-9a88-4df656040823/application","descriptionHtml":"As Vice President of Customer Success at Hippocratic AI, you will own a regional portfolio of health system partnerships while leading a high-performing team of Directors and senior Customer Success Executives. You'll drive net revenue retention and expansion across your region by building deep relationships with health system executives, implementing breakthrough AI into clinical workflows, and establishing the playbooks that scale customer success across diverse provider organizations. This role exists because health systems are deploying AI at scale, and they need a dedicated executive leader who understands clinical operations, can navigate complex provider organizations, and delivers measurable impact on patient outcomes and operational efficiency.
Own your first major outcome: By day 90, you will have completed a diagnostic of your regional health system portfolio and success metrics, established your CS team's operating framework and KPIs, recruited and onboarded your first Directors and senior CSEs, and shipped measurable improvements in customer retention or satisfaction across your most strategic accounts.
Drive lasting impact: At 12 months, you will have scaled your provider CS team from concept to fully functional, high-performing organization managing multi-account regional portfolio, established replicable playbooks for provider onboarding and clinical workflow integration, grown net revenue retention across your regional book of business to 110%+, positioned health system customers as visible advocates for Hippocratic AI in the industry, and proven out the regional provider CS model that can scale across the organization.
You'll lead a dedicated provider customer success organization—a team of Customer Success Executives and Implementation Managers managing relationships with major health systems across your region. You'll partner closely with Product, Engineering, Clinical, and Sales teams to ensure provider needs drive organizational priorities. You'll work embedded with major health system clients while building the infrastructure that scales CS capability across Hippocratic AI.
Serve as executive point of contact for major health system clients, building trusted relationships with board-level sponsors, CNOs, CMIOs, COOs, and other senior stakeholders across multi-entity provider organizations
Lead enterprise implementations of Hippocratic AI solutions, ensuring alignment with health system operational priorities, clinical workflows, and care delivery models—managing timelines and ensuring successful go-live
Collaborate cross-functionally with Product, Engineering, and Sales to channel health system feedback into product evolution, clinical feature development, and go-to-market strategy
Define, track, and communicate customer success metrics—net revenue retention (NRR), clinical adoption rates, operational efficiency gains, and patient outcome improvements—as primary indicators of portfolio health and drive quarterly business reviews with executive accountability
Build and codify best practices for onboarding, clinical training, workflow integration, and change management, establishing the foundation for a repeatable, scalable provider CS model
Own expansion sales within your regional portfolio through identification and strategic influence on upsell and cross-sell opportunities across health system departments and use cases
This is an onsite role based in Columbus, Ohio area, with five days per week at the client site and occasional travel to Hippocratic AI headquarters (Menlo Park, CA) for strategic planning and team sessions.
Compensation is based on experience, expertise, level of responsibility, and location. We offer competitive packages that reflect the role's seniority and scope, along with equity, health insurance, and other benefits.
Bachelor's degree from an accredited university
10–15 years of professional experience in healthcare, with 7+ years in customer-facing leadership roles working with or within health systems, health networks, or provider-focused organizations
Proven ability to lead and develop teams (manager of managers), successfully managing Directors and senior Customer Success Executives and driving impact across large, matrixed provider organizations
Deep knowledge of health system operations, clinical workflows, care delivery models, and operational processes—including expertise in areas such as nursing, clinical operations, revenue cycle, or care management
Demonstrated experience working effectively with health system stakeholders across clinical (CNO, CMIO, physician leadership), operational (COO, VP Operations), and IT/technical leadership—translating clinical and operational needs into customer success strategy
Proven track record leading cross-functional initiatives in startup or high-growth technology environments, with measurable impact on delivery and revenue goals
Strong executive presence and communication skills, with demonstrated ability to engage board-level sponsors and C-suite executives in large, complex health system organizations
Demonstrated success in implementation excellence, change leadership, and driving measurable results in healthcare innovation and operational transformation
Experience building or shaping customer success playbooks, team structures, and scalable infrastructure/processes—not just executing them; ability to codify and scale what works
Experience with AI, digital health, or clinical decision support tools in healthcare environments
Background in healthcare consulting, health-tech, or clinical operations transformation (Accenture, Deloitte, McKinsey, Guidehouse, etc.)
Prior exposure to regulatory, compliance, or data governance in healthcare (HIPAA, CMS, state regulations, quality reporting)
Experience with pricing, packaging, or go-to-market strategy in healthcare SaaS or health tech
Track record scaling customer success organizations or launching new regional CS models
Healthcare sector knowledge, including familiarity with major health system players, competitive landscape, and industry trends in your target region
Existing relationships with senior leaders at major health systems in your target region
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.
Hippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.
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.
","descriptionPlain":"ROLE MISSION\n\nAs Vice President of Customer Success at Hippocratic AI, you will own a regional portfolio of health system partnerships while leading a high-performing team of Directors and senior Customer Success Executives. You'll drive net revenue retention and expansion across your region by building deep relationships with health system executives, implementing breakthrough AI into clinical workflows, and establishing the playbooks that scale customer success across diverse provider organizations. This role exists because health systems are deploying AI at scale, and they need a dedicated executive leader who understands clinical operations, can navigate complex provider organizations, and delivers measurable impact on patient outcomes and operational efficiency.\n\n \n\n\nWHAT YOU WILL ACCOMPLISH\n\nOwn your first major outcome: By day 90, you will have completed a diagnostic of your regional health system portfolio and success metrics, established your CS team's operating framework and KPIs, recruited and onboarded your first Directors and senior CSEs, and shipped measurable improvements in customer retention or satisfaction across your most strategic accounts.\n\nDrive lasting impact: At 12 months, you will have scaled your provider CS team from concept to fully functional, high-performing organization managing multi-account regional portfolio, established replicable playbooks for provider onboarding and clinical workflow integration, grown net revenue retention across your regional book of business to 110%+, positioned health system customers as visible advocates for Hippocratic AI in the industry, and proven out the regional provider CS model that can scale across the organization.\n\n \n\n\nTHE TEAM\n\nYou'll lead a dedicated provider customer success organization—a team of Customer Success Executives and Implementation Managers managing relationships with major health systems across your region. You'll partner closely with Product, Engineering, Clinical, and Sales teams to ensure provider needs drive organizational priorities. You'll work embedded with major health system clients while building the infrastructure that scales CS capability across Hippocratic AI.\n\n\n\n\nWHAT YOU'LL DO\n\n - Serve as executive point of contact for major health system clients, building trusted relationships with board-level sponsors, CNOs, CMIOs, COOs, and other senior stakeholders across multi-entity provider organizations\n\n - Lead enterprise implementations of Hippocratic AI solutions, ensuring alignment with health system operational priorities, clinical workflows, and care delivery models—managing timelines and ensuring successful go-live\n\n - Collaborate cross-functionally with Product, Engineering, and Sales to channel health system feedback into product evolution, clinical feature development, and go-to-market strategy\n\n - Define, track, and communicate customer success metrics—net revenue retention (NRR), clinical adoption rates, operational efficiency gains, and patient outcome improvements—as primary indicators of portfolio health and drive quarterly business reviews with executive accountability\n\n - Build and codify best practices for onboarding, clinical training, workflow integration, and change management, establishing the foundation for a repeatable, scalable provider CS model\n\n - Own expansion sales within your regional portfolio through identification and strategic influence on upsell and cross-sell opportunities across health system departments and use cases\n\n\nLOCATION REQUIREMENT\n\nThis is an onsite role based in Columbus, Ohio area, with five days per week at the client site and occasional travel to Hippocratic AI headquarters (Menlo Park, CA) for strategic planning and team sessions.\n\n \n\n\nCOMPENSATION\n\nCompensation is based on experience, expertise, level of responsibility, and location. We offer competitive packages that reflect the role's seniority and scope, along with equity, health insurance, and other benefits.\n\n \n\n\nREQUIRED QUALIFICATIONS\n\n - Bachelor's degree from an accredited university\n\n - 10–15 years of professional experience in healthcare, with 7+ years in customer-facing leadership roles working with or within health systems, health networks, or provider-focused organizations\n\n - Proven ability to lead and develop teams (manager of managers), successfully managing Directors and senior Customer Success Executives and driving impact across large, matrixed provider organizations\n\n - Deep knowledge of health system operations, clinical workflows, care delivery models, and operational processes—including expertise in areas such as nursing, clinical operations, revenue cycle, or care management\n\n - Demonstrated experience working effectively with health system stakeholders across clinical (CNO, CMIO, physician leadership), operational (COO, VP Operations), and IT/technical leadership—translating clinical and operational needs into customer success strategy\n\n - Proven track record leading cross-functional initiatives in startup or high-growth technology environments, with measurable impact on delivery and revenue goals\n\n - Strong executive presence and communication skills, with demonstrated ability to engage board-level sponsors and C-suite executives in large, complex health system organizations\n\n - Demonstrated success in implementation excellence, change leadership, and driving measurable results in healthcare innovation and operational transformation\n\n - Experience building or shaping customer success playbooks, team structures, and scalable infrastructure/processes—not just executing them; ability to codify and scale what works\n\n\nPREFERRED QUALIFICATIONS\n\n - Experience with AI, digital health, or clinical decision support tools in healthcare environments\n\n - Background in healthcare consulting, health-tech, or clinical operations transformation (Accenture, Deloitte, McKinsey, Guidehouse, etc.)\n\n - Prior exposure to regulatory, compliance, or data governance in healthcare (HIPAA, CMS, state regulations, quality reporting)\n\n - Experience with pricing, packaging, or go-to-market strategy in healthcare SaaS or health tech\n\n - Track record scaling customer success organizations or launching new regional CS models\n\n - Healthcare sector knowledge, including familiarity with major health system players, competitive landscape, and industry trends in your target region\n\n - Existing relationships with senior leaders at major health systems in your target region\n\n\nWHY JOIN HIPPOCRATIC AI\n\nReinvent 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.\n\nWork 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.\n\nBacked 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.\n\nBuild 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.\n\n\nEQUAL OPPORTUNITY\n\nHippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.\n\nPlease be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com http://hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process."},{"id":"91ffd74b-ff35-407c-b2b1-686172cfc029","title":"HCP Evaluator (PT 10-20 hrs)","department":"Research & Development","team":"AI Evaluations","employmentType":"PartTime","location":"United States","secondaryLocations":[],"publishedAt":"2026-10-02T17:58:13.288+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/91ffd74b-ff35-407c-b2b1-686172cfc029","applyUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/91ffd74b-ff35-407c-b2b1-686172cfc029/application","descriptionHtml":"We are seeking an HCP Sales Evaluator to review and assess HCP-facing Voice AI sales interactions. In this contractor role, you will listen to and interact with AI-led sales calls and evaluate whether the agent communicates effectively, handles objections appropriately, and operates within expected commercial and compliance standards.
This role is ideal for someone with hands-on experience in pharma sales or inside/virtual sales, who understands what effective selling to HCPs sounds like and is comfortable making judgment calls on sales quality, messaging, and professionalism.
You’ll work on a flexible schedule, typically averaging 10–20 hours per week, reviewing calls and documenting structured feedback across predefined evaluation criteria.
Listen to and evaluate HCP-facing Voice AI sales calls, including prospecting, detailing, objection handling, and follow-up.
Assess sales effectiveness, message clarity, professionalism, and appropriate compliance behavior.
Identify weak messaging, poor objection handling, or inappropriate sales tactics.
Score calls using defined rubrics and provide clear, actionable feedback.
Flag potential performance or compliance risks.
2–5+ years of experience in pharma sales, medical device sales, or inside/virtual HCP-facing sales roles.
Direct experience communicating with HCPs in a commercial sales context.
Strong written and verbal communication skills.
Ability to make clear, precise judgment calls when evaluating sales performance.
Fluency in English.
Reliable access to a computer and high-speed internet.
Experience reviewing recorded sales calls for quality or performance.
Familiarity with virtual detailing platforms, CRMs, or call review tools.
Experience selling specialty or complex therapies.
Exposure to regulated commercial environments.
Experience with digital or AI-enabled sales tools.
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.
Hippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.
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.
","descriptionPlain":"THE ROLE\n\nWe are seeking an HCP Sales Evaluator to review and assess HCP-facing Voice AI sales interactions. In this contractor role, you will listen to and interact with AI-led sales calls and evaluate whether the agent communicates effectively, handles objections appropriately, and operates within expected commercial and compliance standards.\n\nThis role is ideal for someone with hands-on experience in pharma sales or inside/virtual sales, who understands what effective selling to HCPs sounds like and is comfortable making judgment calls on sales quality, messaging, and professionalism.\n\nYou’ll work on a flexible schedule, typically averaging 10–20 hours per week, reviewing calls and documenting structured feedback across predefined evaluation criteria.\n\n\nRESPONSIBILITIES\n\n - Listen to and evaluate HCP-facing Voice AI sales calls, including prospecting, detailing, objection handling, and follow-up.\n\n - Assess sales effectiveness, message clarity, professionalism, and appropriate compliance behavior.\n\n - Identify weak messaging, poor objection handling, or inappropriate sales tactics.\n\n - Score calls using defined rubrics and provide clear, actionable feedback.\n\n - Flag potential performance or compliance risks.\n\n\nREQUIREMENTS\n\n - 2–5+ years of experience in pharma sales, medical device sales, or inside/virtual HCP-facing sales roles.\n\n - Direct experience communicating with HCPs in a commercial sales context.\n\n - Strong written and verbal communication skills.\n\n - Ability to make clear, precise judgment calls when evaluating sales performance.\n\n - Fluency in English.\n\n - Reliable access to a computer and high-speed internet.\n\n\nNICE TO HAVE\n\n - Experience reviewing recorded sales calls for quality or performance.\n\n - Familiarity with virtual detailing platforms, CRMs, or call review tools.\n\n - Experience selling specialty or complex therapies.\n\n - Exposure to regulated commercial environments.\n\n - Experience with digital or AI-enabled sales tools.\n\n\nWHY JOIN HIPPOCRATIC AI\n\nReinvent 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.\n\nWork 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.\n\nBacked 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.\n\nBuild 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.\n\n\nEQUAL OPPORTUNITY\n\nHippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.\n\nPlease be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com http://hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process."},{"id":"007a4935-a325-45f7-bf18-5d007a084b11","title":"Deployment Strategist (Columbus, OH)","department":"Customer Experience","team":"Deployment Solutions","employmentType":"FullTime","location":"Columbus, OH","secondaryLocations":[],"publishedAt":"2026-10-01T19:49:42.352+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"Ohio","addressCountry":"United States","addressLocality":"Columbus"}},"jobUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/007a4935-a325-45f7-bf18-5d007a084b11","applyUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/007a4935-a325-45f7-bf18-5d007a084b11/application","descriptionHtml":"As a Deployment Strategist at Hippocratic AI, you own healthcare AI deployments end-to-end — from workflow discovery and solution design, through hands-on build/configuration, launch, adoption, and measurable business impact — for health systems, providers, payors, or life sciences organizations. You'll own a defined deployment workstream or major customer milestone: establishing stakeholder relationships, identifying technical and operational dependencies, and driving a clear path to measurable value in real clinical and operational environments.
This role exists because successful AI deployments in healthcare require more than project management alone. It requires someone who understands clinical and operational workflows, can build trust with executive customer stakeholders, can connect product capabilities to operational needs, and can drive hands-on technical execution through ambiguity. You will serve as both a strategic partner and an execution lead — combining technical delivery, healthcare operations fluency, and executive customer partnership to help customers move from interest to implementation to lasting impact.
You’ll work alongside engineers, product managers, customer success partners, and clinical experts, partnering closely with customers while staying deeply connected to internal cross functional teams. You’ll operate with significant ownership, balancing strategic customer guidance with day to day execution. This is a team that values customer obsession, clear communication, operational rigor, and practical problem solving in real healthcare setting.
Get to the real problem behind what the customer is asking for — understand their business deeply enough to scope a solution that actually meets their objectives
Design and build agents capable of handling complex, high-stakes healthcare conversations
Map how data moves: from the customer's systems into the conversation, and from the conversation back out as insight. Scope what needs to be built to make that flow work, and partner with engineering to ship it
Own the implementation end to end: everything including bringing customer stakeholders along on adopting AI, configuring the agent to their workflows, managing timelines, documenting solutions, and getting ahead of blockers before they become problems. You’ll have a broad set of responsibilities from partnering with customer operational leaders to configuring call schedules.
Work with forward deployed engineers to spec new AI features to enhance customer deployments
Capture learnings from deployments and turn them into repeatable playbooks, templates, and best practices that improve future implementations
Develop analytics and create dashboards to track deployment performance
Use deployment insights to inform internal product and process improvements, helping the organization deliver more effectively at scale
This is an onsite role based in Columbus, Ohio, with five days per week at the client site and occasional travel to Hippocratic AI headquarters (Menlo Park, CA) for strategic planning and team sessions.
4+ years of relevant experience in deployment, implementation, strategic operations, consulting, solution architecture, or technical program management — however that experience was accrued
Direct experience serving healthcare customers, or working inside a healthcare organization
Working knowledge of provider-side, payor-side, or life sciences workflows, operations, and organizational dynamics
Demonstrated ability to reason about data models: you can interrogate a schema you have not seen before, build or direct an analysis against it, and tell when an output is wrong
Hands-on comfort with engineering systems — JSON files, terminals, command-line coding assistants, and git workflows
A track record of project-managing complex customer engagements across operational, clinical, IT, and executive stakeholders simultaneously
BA/BS in a technical field (engineering, science, analytics, economics, or similar)
SQL
Epic experience, including Clarity, Caboodle, or Cogito work, or Epic certification
A clinical background — RN, BSN, clinical informatics, or similar
Forward-deployed, implementation, or solutions work at an AI, data platform, or health-tech company
HL7 or FHIR fluency
Experience with utilization management, prior authorization, care management, revenue cycle, or value-based care programs
Prior exposure to LLM-based or agentic products in production
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.
Hippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.
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.
","descriptionPlain":"ROLE MISSION\n\nAs a Deployment Strategist at Hippocratic AI, you own healthcare AI deployments end-to-end — from workflow discovery and solution design, through hands-on build/configuration, launch, adoption, and measurable business impact — for health systems, providers, payors, or life sciences organizations. You'll own a defined deployment workstream or major customer milestone: establishing stakeholder relationships, identifying technical and operational dependencies, and driving a clear path to measurable value in real clinical and operational environments.\n\nThis role exists because successful AI deployments in healthcare require more than project management alone. It requires someone who understands clinical and operational workflows, can build trust with executive customer stakeholders, can connect product capabilities to operational needs, and can drive hands-on technical execution through ambiguity. You will serve as both a strategic partner and an execution lead — combining technical delivery, healthcare operations fluency, and executive customer partnership to help customers move from interest to implementation to lasting impact.\n\n\n\n\nTHE TEAM\n\nYou’ll work alongside engineers, product managers, customer success partners, and clinical experts, partnering closely with customers while staying deeply connected to internal cross functional teams. You’ll operate with significant ownership, balancing strategic customer guidance with day to day execution. This is a team that values customer obsession, clear communication, operational rigor, and practical problem solving in real healthcare setting.\n\n \n\n\nWHAT YOU'LL DO\n\n - Get to the real problem behind what the customer is asking for — understand their business deeply enough to scope a solution that actually meets their objectives\n\n - Design and build agents capable of handling complex, high-stakes healthcare conversations\n\n - Map how data moves: from the customer's systems into the conversation, and from the conversation back out as insight. Scope what needs to be built to make that flow work, and partner with engineering to ship it\n\n - Own the implementation end to end: everything including bringing customer stakeholders along on adopting AI, configuring the agent to their workflows, managing timelines, documenting solutions, and getting ahead of blockers before they become problems. You’ll have a broad set of responsibilities from partnering with customer operational leaders to configuring call schedules.\n\n - Work with forward deployed engineers to spec new AI features to enhance customer deployments\n\n - Capture learnings from deployments and turn them into repeatable playbooks, templates, and best practices that improve future implementations\n\n - Develop analytics and create dashboards to track deployment performance\n\n - Use deployment insights to inform internal product and process improvements, helping the organization deliver more effectively at scale\n\n\nLOCATION REQUIREMENT\n\nThis is an onsite role based in Columbus, Ohio, with five days per week at the client site and occasional travel to Hippocratic AI headquarters (Menlo Park, CA) for strategic planning and team sessions.\n\n \n\n\nMUST HAVES\n\n - 4+ years of relevant experience in deployment, implementation, strategic operations, consulting, solution architecture, or technical program management — however that experience was accrued\n\n - Direct experience serving healthcare customers, or working inside a healthcare organization\n\n - Working knowledge of provider-side, payor-side, or life sciences workflows, operations, and organizational dynamics\n\n - Demonstrated ability to reason about data models: you can interrogate a schema you have not seen before, build or direct an analysis against it, and tell when an output is wrong\n\n - Hands-on comfort with engineering systems — JSON files, terminals, command-line coding assistants, and git workflows\n\n - A track record of project-managing complex customer engagements across operational, clinical, IT, and executive stakeholders simultaneously\n\n - BA/BS in a technical field (engineering, science, analytics, economics, or similar)\n\n\nNICE TO HAVES\n\n - SQL\n\n - Epic experience, including Clarity, Caboodle, or Cogito work, or Epic certification\n\n - A clinical background — RN, BSN, clinical informatics, or similar\n\n - Forward-deployed, implementation, or solutions work at an AI, data platform, or health-tech company\n\n - HL7 or FHIR fluency\n\n - Experience with utilization management, prior authorization, care management, revenue cycle, or value-based care programs\n\n - Prior exposure to LLM-based or agentic products in production\n\n\nWHY JOIN HIPPOCRATIC AI\n\nReinvent 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.\n\nWork 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.\n\nBacked 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.\n\nBuild 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.\n\n\nEQUAL OPPORTUNITY\n\nHippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.\n\nPlease be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com http://hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process."},{"id":"893491f0-1107-4dd4-9819-334d73b85cb2","title":"Deployment Strategist (York, PA)","department":"Customer Experience","team":"Deployment Solutions","employmentType":"FullTime","location":"York, PA","secondaryLocations":[],"publishedAt":"2026-10-02T16:54:56.772+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"Pennnsylvania","addressCountry":"United States","addressLocality":"York"}},"jobUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/893491f0-1107-4dd4-9819-334d73b85cb2","applyUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/893491f0-1107-4dd4-9819-334d73b85cb2/application","descriptionHtml":"As a Deployment Strategist at Hippocratic AI, you own healthcare AI deployments end-to-end — from workflow discovery and solution design, through hands-on build/configuration, launch, adoption, and measurable business impact — for health systems, providers, payors, or life sciences organizations. You'll own a defined deployment workstream or major customer milestone: establishing stakeholder relationships, identifying technical and operational dependencies, and driving a clear path to measurable value in real clinical and operational environments.
This role exists because successful AI deployments in healthcare require more than project management alone. It requires someone who understands clinical and operational workflows, can build trust with executive customer stakeholders, can connect product capabilities to operational needs, and can drive hands-on technical execution through ambiguity. You will serve as both a strategic partner and an execution lead — combining technical delivery, healthcare operations fluency, and executive customer partnership to help customers move from interest to implementation to lasting impact.
You’ll work alongside engineers, product managers, customer success partners, and clinical experts, partnering closely with customers while staying deeply connected to internal cross functional teams. You’ll operate with significant ownership, balancing strategic customer guidance with day to day execution. This is a team that values customer obsession, clear communication, operational rigor, and practical problem solving in real healthcare setting.
Get to the real problem behind what the customer is asking for — understand their business deeply enough to scope a solution that actually meets their objectives
Design and build agents capable of handling complex, high-stakes healthcare conversations
Map how data moves: from the customer's systems into the conversation, and from the conversation back out as insight. Scope what needs to be built to make that flow work, and partner with engineering to ship it
Own the implementation end to end: everything including bringing customer stakeholders along on adopting AI, configuring the agent to their workflows, managing timelines, documenting solutions, and getting ahead of blockers before they become problems. You’ll have a broad set of responsibilities from partnering with customer operational leaders to configuring call schedules.
Work with forward deployed engineers to spec new AI features to enhance customer deployments
Capture learnings from deployments and turn them into repeatable playbooks, templates, and best practices that improve future implementations
Develop analytics and create dashboards to track deployment performance
Use deployment insights to inform internal product and process improvements, helping the organization deliver more effectively at scale
This is an onsite role based in York, Pennsylvania area, with five days per week at the client site and occasional travel to Hippocratic AI headquarters (Menlo Park, CA) for strategic planning and team sessions.
4+ years of relevant experience in deployment, implementation, strategic operations, consulting, solution architecture, or technical program management — however that experience was accrued
Direct experience serving healthcare customers, or working inside a healthcare organization
Working knowledge of provider-side, payor-side, or life sciences workflows, operations, and organizational dynamics
Demonstrated ability to reason about data models: you can interrogate a schema you have not seen before, build or direct an analysis against it, and tell when an output is wrong
Hands-on comfort with engineering systems — JSON files, terminals, command-line coding assistants, and git workflows
A track record of project-managing complex customer engagements across operational, clinical, IT, and executive stakeholders simultaneously
BA/BS in a technical field (engineering, science, analytics, economics, or similar)
SQL
Epic experience, including Clarity, Caboodle, or Cogito work, or Epic certification
A clinical background — RN, BSN, clinical informatics, or similar
Forward-deployed, implementation, or solutions work at an AI, data platform, or health-tech company
HL7 or FHIR fluency
Experience with utilization management, prior authorization, care management, revenue cycle, or value-based care programs
Prior exposure to LLM-based or agentic products in production
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.
Hippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.
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.
","descriptionPlain":"ROLE MISSION\n\nAs a Deployment Strategist at Hippocratic AI, you own healthcare AI deployments end-to-end — from workflow discovery and solution design, through hands-on build/configuration, launch, adoption, and measurable business impact — for health systems, providers, payors, or life sciences organizations. You'll own a defined deployment workstream or major customer milestone: establishing stakeholder relationships, identifying technical and operational dependencies, and driving a clear path to measurable value in real clinical and operational environments.\n\nThis role exists because successful AI deployments in healthcare require more than project management alone. It requires someone who understands clinical and operational workflows, can build trust with executive customer stakeholders, can connect product capabilities to operational needs, and can drive hands-on technical execution through ambiguity. You will serve as both a strategic partner and an execution lead — combining technical delivery, healthcare operations fluency, and executive customer partnership to help customers move from interest to implementation to lasting impact.\n\n\nTHE TEAM\n\nYou’ll work alongside engineers, product managers, customer success partners, and clinical experts, partnering closely with customers while staying deeply connected to internal cross functional teams. You’ll operate with significant ownership, balancing strategic customer guidance with day to day execution. This is a team that values customer obsession, clear communication, operational rigor, and practical problem solving in real healthcare setting.\n\n\n\n\nWHAT YOU'LL DO\n\n - Get to the real problem behind what the customer is asking for — understand their business deeply enough to scope a solution that actually meets their objectives\n\n - Design and build agents capable of handling complex, high-stakes healthcare conversations\n\n - Map how data moves: from the customer's systems into the conversation, and from the conversation back out as insight. Scope what needs to be built to make that flow work, and partner with engineering to ship it\n\n - Own the implementation end to end: everything including bringing customer stakeholders along on adopting AI, configuring the agent to their workflows, managing timelines, documenting solutions, and getting ahead of blockers before they become problems. You’ll have a broad set of responsibilities from partnering with customer operational leaders to configuring call schedules.\n\n - Work with forward deployed engineers to spec new AI features to enhance customer deployments\n\n - Capture learnings from deployments and turn them into repeatable playbooks, templates, and best practices that improve future implementations\n\n - Develop analytics and create dashboards to track deployment performance\n\n - Use deployment insights to inform internal product and process improvements, helping the organization deliver more effectively at scale\n\n\nLOCATION REQUIREMENT\n\nThis is an onsite role based in York, Pennsylvania area, with five days per week at the client site and occasional travel to Hippocratic AI headquarters (Menlo Park, CA) for strategic planning and team sessions.\n\n\n\n\nMUST HAVES\n\n - 4+ years of relevant experience in deployment, implementation, strategic operations, consulting, solution architecture, or technical program management — however that experience was accrued\n\n - Direct experience serving healthcare customers, or working inside a healthcare organization\n\n - Working knowledge of provider-side, payor-side, or life sciences workflows, operations, and organizational dynamics\n\n - Demonstrated ability to reason about data models: you can interrogate a schema you have not seen before, build or direct an analysis against it, and tell when an output is wrong\n\n - Hands-on comfort with engineering systems — JSON files, terminals, command-line coding assistants, and git workflows\n\n - A track record of project-managing complex customer engagements across operational, clinical, IT, and executive stakeholders simultaneously\n\n - BA/BS in a technical field (engineering, science, analytics, economics, or similar)\n\n\nNICE TO HAVES\n\n - SQL\n\n - Epic experience, including Clarity, Caboodle, or Cogito work, or Epic certification\n\n - A clinical background — RN, BSN, clinical informatics, or similar\n\n - Forward-deployed, implementation, or solutions work at an AI, data platform, or health-tech company\n\n - HL7 or FHIR fluency\n\n - Experience with utilization management, prior authorization, care management, revenue cycle, or value-based care programs\n\n - Prior exposure to LLM-based or agentic products in production\n\n\nWHY JOIN HIPPOCRATIC AI\n\nReinvent 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.\n\nWork 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.\n\nBacked 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.\n\nBuild 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.\n\n\nEQUAL OPPORTUNITY\n\nHippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.\n\nPlease be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com http://hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process."},{"id":"b434f69d-459e-4e76-9aa3-41d862d254f5","title":"Sales Engineer","department":"Sales & Marketing","team":"Revenue Operations","employmentType":"FullTime","location":"Menlo Park, CA","secondaryLocations":[],"publishedAt":"2026-09-23T03:37:04.321+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Menlo Park"}},"jobUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/b434f69d-459e-4e76-9aa3-41d862d254f5","applyUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/b434f69d-459e-4e76-9aa3-41d862d254f5/application","descriptionHtml":"As a Sales Engineer, you will operate as a lighter-weight forward deployed engineer embedded in our go-to-market motion — part builder, part consultant. You will sit at the intersection of sales, product, and AI: writing code to prototype agentic demos, configuring use-case-specific agent flows, and then walking into the room to present them to clinical, commercial, and technical stakeholders.
This is a role for an engineer who wants to be client-facing — someone who can build with their hands and communicate with executive polish. You will partner with sales leadership on strategic pursuits across pharma and health systems, turning complex AI capabilities into demos and narratives that make prospects say \"I need this.\"
This role is based full-time in our Menlo Park, CA office.
Build and deliver tailored, high-impact demos of our agentic AI platform — hands-on prototyping of agent flows, scripts, and demo environments mapped to each prospect’s clinical and commercial workflows.
Write code where it moves deals forward: demo scaffolding, light integrations, data mocking, and rapid proofs of concept with LLM and agentic tooling.
Own the technical narrative in sales cycles — presentations, solution architectures, and ROI stories built alongside sales leadership.
Run discovery and scoping with prospects, translating requirements into agent and solution designs the way a consultant would structure an engagement.
Serve as the technical voice in the room — answering product, integration, and AI safety questions with credibility and clarity.
Support pilots and proofs of concept hands-on, bridging the gap between what was sold and what gets deployed.
Feed field insights back to Product and ML teams to sharpen the platform and the pitch.
Must-Have:
Bachelor’s degree in Computer Science, Engineering, or a related technical field.
3–5 years of experience spanning software engineering, forward deployed engineering, solutions/sales engineering, or technical consulting.
Ability to code — comfortable in Python or JavaScript, working with APIs, and prototyping with LLM-based or agentic systems.
Consulting-grade client presence: structured thinking, executive-level presentations, and the ability to run a room.
Strong storytelling and communication skills; able to make complex technology simple for both technical and non-technical audiences.
Self-starter who thrives in fast-moving, ambiguous, high-growth environments.
Commitment to safety, ethics, and patient-centered outcomes.
Nice-to-Have:
Forward deployed engineering, management consulting, or client-embedded delivery experience.
Experience in healthcare, pharma, or life sciences technology.
Familiarity with conversational AI, voice agents, or agentic workflows.
Experience supporting enterprise sales cycles with multiple stakeholders.
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.
Hippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.
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.
","descriptionPlain":"ABOUT THE ROLE\n\nAs a Sales Engineer, you will operate as a lighter-weight forward deployed engineer embedded in our go-to-market motion — part builder, part consultant. You will sit at the intersection of sales, product, and AI: writing code to prototype agentic demos, configuring use-case-specific agent flows, and then walking into the room to present them to clinical, commercial, and technical stakeholders.\n\nThis is a role for an engineer who wants to be client-facing — someone who can build with their hands and communicate with executive polish. You will partner with sales leadership on strategic pursuits across pharma and health systems, turning complex AI capabilities into demos and narratives that make prospects say \"I need this.\"\n\nThis role is based full-time in our Menlo Park, CA office.\n\n\nWHAT YOU'LL DO\n\n - Build and deliver tailored, high-impact demos of our agentic AI platform — hands-on prototyping of agent flows, scripts, and demo environments mapped to each prospect’s clinical and commercial workflows.\n\n - Write code where it moves deals forward: demo scaffolding, light integrations, data mocking, and rapid proofs of concept with LLM and agentic tooling.\n\n - Own the technical narrative in sales cycles — presentations, solution architectures, and ROI stories built alongside sales leadership.\n\n - Run discovery and scoping with prospects, translating requirements into agent and solution designs the way a consultant would structure an engagement.\n\n - Serve as the technical voice in the room — answering product, integration, and AI safety questions with credibility and clarity.\n\n - Support pilots and proofs of concept hands-on, bridging the gap between what was sold and what gets deployed.\n\n - Feed field insights back to Product and ML teams to sharpen the platform and the pitch.\n\n\nWHAT YOU BRING\n\nMust-Have:\n\n - Bachelor’s degree in Computer Science, Engineering, or a related technical field.\n\n - 3–5 years of experience spanning software engineering, forward deployed engineering, solutions/sales engineering, or technical consulting.\n\n - Ability to code — comfortable in Python or JavaScript, working with APIs, and prototyping with LLM-based or agentic systems.\n\n - Consulting-grade client presence: structured thinking, executive-level presentations, and the ability to run a room.\n\n - Strong storytelling and communication skills; able to make complex technology simple for both technical and non-technical audiences.\n\n - Self-starter who thrives in fast-moving, ambiguous, high-growth environments.\n\n - Commitment to safety, ethics, and patient-centered outcomes.\n\nNice-to-Have:\n\n - Forward deployed engineering, management consulting, or client-embedded delivery experience.\n\n - Experience in healthcare, pharma, or life sciences technology.\n\n - Familiarity with conversational AI, voice agents, or agentic workflows.\n\n - Experience supporting enterprise sales cycles with multiple stakeholders.\n\n\nWHY JOIN HIPPOCRATIC AI\n\nReinvent 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.\n\nWork 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.\n\nBacked 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.\n\nBuild 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.\n\n\nEQUAL OPPORTUNITY\n\nHippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.\n\nPlease be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com http://hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process."},{"id":"01b0b99a-1a44-47ec-861f-ba81d03ee9eb","title":"Director of IT and Workplace","department":"Research & Development","team":"Security","employmentType":"FullTime","location":"Menlo Park, CA","secondaryLocations":[],"publishedAt":"2026-10-15T23:16:27.293+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Menlo Park"}},"jobUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/01b0b99a-1a44-47ec-861f-ba81d03ee9eb","applyUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/01b0b99a-1a44-47ec-861f-ba81d03ee9eb/application","descriptionHtml":"We've grown to roughly 265 people working onsite from our Menlo Park headquarters, supported by a large network of remote U.S.-licensed clinicians — and part of the Series C is earmarked for acquisitions. The systems and the spaces holding all of that together were built for a much smaller company. We're hiring a Director of IT & Workplace to own them properly.
You'll own two halves of the same problem: the employee technology platform — identity, endpoints, networking, the SaaS portfolio, and our IT security posture — and the physical environment the company runs on, from space planning and physical security to the AV that customer demos and all-hands depend on. You'll inherit a small, capable team and be accountable for leveling it up. You'll be the named owner for IT controls in our HIPAA and SOC 2 programs, you'll own the IT and workplace budget, and when we acquire a company, you'll be the one integrating it.
Identity and access: Okta for SSO, MFA, and lifecycle provisioning.
Productivity: Microsoft 365 and Google Workspace, both in active use across the company.
Endpoints: a Mac-primary fleet with Windows machines alongside it, managed through MDM. VDIs included.
Internal systems: IRU, plus a growing portfolio of internal and third-party SaaS applications.
Workplace: a Palo Alto headquarters with conference room AV and access control, plus a distributed clinician and staff population.
Own a multi-year IT and workplace roadmap tied to the hiring plan, and bring it to leadership with clear tradeoffs and funding asks.
Own the IT and workplace operating and capital budget: forecast it, defend it in planning cycles, and continuously rationalize license, vendor, and facilities spend.
Lead, coach, and grow the existing team — set clear expectations, run honest performance conversations, hire as scope deepens, and build career paths that keep strong people.
Define and publish service levels for ticket response, uptime, onboarding readiness, and workplace turnaround, and report against them to the executive team.
Own the identity platform: SSO, MFA, automated joiner-mover-leaver provisioning in Okta, and access governance across every connected application.
Own the endpoint fleet and the SaaS portfolio — Microsoft 365, Google Workspace, IRU, and a long tail of business applications — with enforced MDM baselines for encryption, patching, and configuration.
Own network and connectivity for the headquarters and the remote workforce, with redundancy appropriate to a company our customers depend on.
Replace manual provisioning, access reviews, and device setup with scripted, auditable workflows.
Lead major programs end to end: platform migrations, upgrades, office buildouts, and the IT and workplace integration of acquired companies.
Serve as the accountable owner for IT controls in our HIPAA, SOC 2, and customer security review programs, including evidence collection and audit response.
Enforce least privilege across the environment and run recurring access certifications with documented outcomes.
Partner with Security on incident response and vulnerability remediation, and with Legal on data handling, retention, and discovery requests.
Own business continuity and disaster recovery for corporate systems — write the plans, test them, and fix what the tests expose.
Treat protected health information and confidential data with the care our customers and their patients expect. This is non-negotiable in everything we do.
Own day-to-day operations of the headquarters, and lead space planning and buildouts against a hiring plan that keeps moving.
Manage physical security — access control and badging, visitor management, cameras, and emergency preparedness — aligned with our compliance obligations.
Own conference room and event AV, including all-hands and customer visits, to a standard where the technology is never the story.
Support remote clinicians and staff with reliable equipment logistics, home office standards, and consistent service regardless of location.
Manage facilities, AV, security, and food vendors, plus landlord and lease matters, in partnership with Finance and Legal.
8+ years in IT, spanning hands-on administration or engineering and progressively senior ownership. You've done the work you'll now be leading.
3+ years managing IT or workplace teams, including hiring, performance management, and developing people into bigger roles.
Proven ownership of an IT function through rapid growth. You've scaled systems and process ahead of headcount, not behind it.
Deep technical expertise across identity (Okta or comparable), Microsoft 365 and Google Workspace, MDM at fleet scale, and corporate networking.
Experience as a named control owner in a regulated environment — HIPAA, SOC 2, or HITRUST — including sitting across the table from auditors.
Budget ownership and vendor negotiation experience, with the financial fluency to frame a risk or a funding ask so a CFO can act on it.
Workplace or facilities exposure — buildouts, moves, physical security, or lease management — or a genuine appetite to own it and learn quickly.
Willingness to stay close to the work. This is a leadership role at a company where the director still unblocks a broken demo when it matters.
Education: Bachelor's degree in Information Technology, Computer Science, or a related field, or equivalent experience. We weigh demonstrated ability over credentials.
Healthcare, life sciences, or another environment handling sensitive personal data at scale.
IT integration of an acquisition, or standing up a function's first access governance or asset management program.
Automation depth (Python, Bash, PowerShell) and experience managing devices and infrastructure as code.
Certifications such as Okta Certified Administrator, Microsoft 365 Enterprise Administrator, Jamf, CISM, CISSP, or ITIL.
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.
Hippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.
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.
","descriptionPlain":"THE ROLE\n\nWe've grown to roughly 265 people working onsite from our Menlo Park headquarters, supported by a large network of remote U.S.-licensed clinicians — and part of the Series C is earmarked for acquisitions. The systems and the spaces holding all of that together were built for a much smaller company. We're hiring a Director of IT & Workplace to own them properly.\n\nYou'll own two halves of the same problem: the employee technology platform — identity, endpoints, networking, the SaaS portfolio, and our IT security posture — and the physical environment the company runs on, from space planning and physical security to the AV that customer demos and all-hands depend on. You'll inherit a small, capable team and be accountable for leveling it up. You'll be the named owner for IT controls in our HIPAA and SOC 2 programs, you'll own the IT and workplace budget, and when we acquire a company, you'll be the one integrating it.\n\n\n\n\nOUR ENVIRONMENT\n\n - Identity and access: Okta for SSO, MFA, and lifecycle provisioning.\n\n - Productivity: Microsoft 365 and Google Workspace, both in active use across the company.\n\n - Endpoints: a Mac-primary fleet with Windows machines alongside it, managed through MDM. VDIs included.\n\n - Internal systems: IRU, plus a growing portfolio of internal and third-party SaaS applications.\n\n - Workplace: a Palo Alto headquarters with conference room AV and access control, plus a distributed clinician and staff population.\n\n\nWHAT YOU'LL DO\n\n\nSTRATEGY, BUDGET, AND TEAM\n\n - Own a multi-year IT and workplace roadmap tied to the hiring plan, and bring it to leadership with clear tradeoffs and funding asks.\n\n - Own the IT and workplace operating and capital budget: forecast it, defend it in planning cycles, and continuously rationalize license, vendor, and facilities spend.\n\n - Lead, coach, and grow the existing team — set clear expectations, run honest performance conversations, hire as scope deepens, and build career paths that keep strong people.\n\n - Define and publish service levels for ticket response, uptime, onboarding readiness, and workplace turnaround, and report against them to the executive team.\n\n\nTECHNOLOGY AND INFRASTRUCTURE\n\n - Own the identity platform: SSO, MFA, automated joiner-mover-leaver provisioning in Okta, and access governance across every connected application.\n\n - Own the endpoint fleet and the SaaS portfolio — Microsoft 365, Google Workspace, IRU, and a long tail of business applications — with enforced MDM baselines for encryption, patching, and configuration.\n\n - Own network and connectivity for the headquarters and the remote workforce, with redundancy appropriate to a company our customers depend on.\n\n - Replace manual provisioning, access reviews, and device setup with scripted, auditable workflows.\n\n - Lead major programs end to end: platform migrations, upgrades, office buildouts, and the IT and workplace integration of acquired companies.\n\n\nSECURITY, COMPLIANCE, AND RISK\n\n - Serve as the accountable owner for IT controls in our HIPAA, SOC 2, and customer security review programs, including evidence collection and audit response.\n\n - Enforce least privilege across the environment and run recurring access certifications with documented outcomes.\n\n - Partner with Security on incident response and vulnerability remediation, and with Legal on data handling, retention, and discovery requests.\n\n - Own business continuity and disaster recovery for corporate systems — write the plans, test them, and fix what the tests expose.\n\n - Treat protected health information and confidential data with the care our customers and their patients expect. This is non-negotiable in everything we do.\n\n\nWORKPLACE AND FACILITIES\n\n - Own day-to-day operations of the headquarters, and lead space planning and buildouts against a hiring plan that keeps moving.\n\n - Manage physical security — access control and badging, visitor management, cameras, and emergency preparedness — aligned with our compliance obligations.\n\n - Own conference room and event AV, including all-hands and customer visits, to a standard where the technology is never the story.\n\n - Support remote clinicians and staff with reliable equipment logistics, home office standards, and consistent service regardless of location.\n\n - Manage facilities, AV, security, and food vendors, plus landlord and lease matters, in partnership with Finance and Legal.\n\n\n\n\nWHAT YOU'LL BRING\n\n - 8+ years in IT, spanning hands-on administration or engineering and progressively senior ownership. You've done the work you'll now be leading.\n\n - 3+ years managing IT or workplace teams, including hiring, performance management, and developing people into bigger roles.\n\n - Proven ownership of an IT function through rapid growth. You've scaled systems and process ahead of headcount, not behind it.\n\n - Deep technical expertise across identity (Okta or comparable), Microsoft 365 and Google Workspace, MDM at fleet scale, and corporate networking.\n\n - Experience as a named control owner in a regulated environment — HIPAA, SOC 2, or HITRUST — including sitting across the table from auditors.\n\n - Budget ownership and vendor negotiation experience, with the financial fluency to frame a risk or a funding ask so a CFO can act on it.\n\n - Workplace or facilities exposure — buildouts, moves, physical security, or lease management — or a genuine appetite to own it and learn quickly.\n\n - Willingness to stay close to the work. This is a leadership role at a company where the director still unblocks a broken demo when it matters.\n\n - Education: Bachelor's degree in Information Technology, Computer Science, or a related field, or equivalent experience. We weigh demonstrated ability over credentials.\n\n\n\n\nNICE TO HAVE\n\n - Healthcare, life sciences, or another environment handling sensitive personal data at scale.\n\n - IT integration of an acquisition, or standing up a function's first access governance or asset management program.\n\n - Automation depth (Python, Bash, PowerShell) and experience managing devices and infrastructure as code.\n\n - Certifications such as Okta Certified Administrator, Microsoft 365 Enterprise Administrator, Jamf, CISM, CISSP, or ITIL.\n\n\nWHY JOIN HIPPOCRATIC AI\n\nReinvent 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.\n\nWork 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.\n\nBacked 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.\n\nBuild 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.\n\n\nEQUAL OPPORTUNITY\n\nHippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.\n\nPlease be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com http://hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process."},{"id":"9d8a02ed-ba1a-4fc0-b5cd-5fdd832a7b04","title":"Senior Applied Scientist","department":"Research & Development","team":"LLM Engineering & Sciences","employmentType":"FullTime","location":"Seattle, WA","secondaryLocations":[],"publishedAt":"2026-09-23T13:46:38.999+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"WA","addressCountry":"United States","addressLocality":"Seattle"}},"jobUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/9d8a02ed-ba1a-4fc0-b5cd-5fdd832a7b04","applyUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/9d8a02ed-ba1a-4fc0-b5cd-5fdd832a7b04/application","descriptionHtml":"We are building a recursive self-improvement system — a machine learning system that iteratively improves itself through feedback, evaluation, and automated learning loops. You will help build the engineering pipeline that keeps these loops fast, reliable, and trustworthy: the training and evaluation pipelines, the reward and feedback signals, and the safeguards that prevent a self-improving system from silently degrading or gaming its objectives.
This is an engineering-first role with deep reinforcement learning requirements. You should be equally comfortable writing robust production ML code and reasoning about reward design, credit assignment, and why feedback-driven systems become unstable.
Build and maintain the training, evaluation, and deployment loops at the core of the self-improvement system, with a strong emphasis on reproducibility and reliability.
Design and implement reward and feedback signals; investigate and mitigate reward hacking, specification gaming, and distribution drift.
Build evaluation harnesses and metrics before models — because a self-improving system is only as safe as its measurement of “better.”
Own data pipelines and automated data flywheels that feed the learning loop.
Debug subtle model-quality regressions and stabilize training and feedback loops that go non-stationary.
Collaborate with research and product to turn methods into robust, shippable systems.
Must-Haves:
Strong MLE fundamentals (non-negotiable)
Excellent Python and clean, well-tested ML training code.
Solid grasp of data pipelines, distributed / large-scale training, and experiment tracking.
The instinct and skill to debug why a model silently got worse — not just why it crashed.
Hands-on experience with a feedback or learning loop (at least one).
Built or owned part of a feedback loop — a reward model, an evaluation harness, or the data pipeline for an RLHF/RLAIF or active-learning system.
Ran a retraining or continual-learning pipeline where a model consumed its own predictions or production data (e.g. ranking, recommendations, fraud, spam).
Fine-tuned LLMs with human or AI feedback, or built agentic evaluation harnesses.
Reinforcement learning foundations and curiosity.
Working knowledge of reward modeling, on-policy vs. off-policy tradeoffs, and credit assignment (does not need to be a research-level RL expert).
Has seen — or can reason clearly about — feedback-system failure modes: reward hacking, specification gaming, feedback loops amplifying errors.
Comfortable evaluating non-stationary systems (systems whose behavior and data distribution change over time).
Systems and evaluation instinct.
Builds the eval before the model; treats measurement as a first-class deliverable.
Has shipped an ML system into production and kept it healthy over time.
Bonus, not required:
The ideal candidate has built or shipped a full system that improved from its own outputs or feedback end to end. This is rare at this level, so treat it as a standout differentiator rather than a filter. Examples:
RLHF / RLAIF pipelines
Self-play systems
Active-learning loops
Automated data flywheels
Agentic evaluation harnesses
Nice to Have:
PhD or MS in RL / ML paired with real production experience (either the science or the engineering half alone is fine if the other is strong).
Experience at a lab or company doing RLHF, agents, or large-scale ML infrastructure.
Familiarity with LLM fine-tuning, evaluation frameworks, or agent orchestration.
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.
Hippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.
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.
","descriptionPlain":"ABOUT THE ROLE\n\nWe are building a recursive self-improvement system — a machine learning system that iteratively improves itself through feedback, evaluation, and automated learning loops. You will help build the engineering pipeline that keeps these loops fast, reliable, and trustworthy: the training and evaluation pipelines, the reward and feedback signals, and the safeguards that prevent a self-improving system from silently degrading or gaming its objectives.\n\nThis is an engineering-first role with deep reinforcement learning requirements. You should be equally comfortable writing robust production ML code and reasoning about reward design, credit assignment, and why feedback-driven systems become unstable.\n\n\n\n\nWHAT YOU'LL DO\n\n - Build and maintain the training, evaluation, and deployment loops at the core of the self-improvement system, with a strong emphasis on reproducibility and reliability.\n\n - Design and implement reward and feedback signals; investigate and mitigate reward hacking, specification gaming, and distribution drift.\n\n - Build evaluation harnesses and metrics before models — because a self-improving system is only as safe as its measurement of “better.”\n\n - Own data pipelines and automated data flywheels that feed the learning loop.\n\n - Debug subtle model-quality regressions and stabilize training and feedback loops that go non-stationary.\n\n - Collaborate with research and product to turn methods into robust, shippable systems.\n \n \n\n\nWHAT WE'RE LOOKING FOR\n\nMust-Haves:\n\nStrong MLE fundamentals (non-negotiable)\n\n - Excellent Python and clean, well-tested ML training code.\n\n - Solid grasp of data pipelines, distributed / large-scale training, and experiment tracking.\n\n - The instinct and skill to debug why a model silently got worse — not just why it crashed.\n\nHands-on experience with a feedback or learning loop (at least one).\n\n - Built or owned part of a feedback loop — a reward model, an evaluation harness, or the data pipeline for an RLHF/RLAIF or active-learning system.\n\n - Ran a retraining or continual-learning pipeline where a model consumed its own predictions or production data (e.g. ranking, recommendations, fraud, spam).\n\n - Fine-tuned LLMs with human or AI feedback, or built agentic evaluation harnesses.\n\nReinforcement learning foundations and curiosity.\n\n - Working knowledge of reward modeling, on-policy vs. off-policy tradeoffs, and credit assignment (does not need to be a research-level RL expert).\n\n - Has seen — or can reason clearly about — feedback-system failure modes: reward hacking, specification gaming, feedback loops amplifying errors.\n\n - Comfortable evaluating non-stationary systems (systems whose behavior and data distribution change over time).\n\nSystems and evaluation instinct.\n\n - Builds the eval before the model; treats measurement as a first-class deliverable.\n\n - Has shipped an ML system into production and kept it healthy over time.\n \n \n\n\nSTRONGEST SIGNAL \n\nBonus, not required:\n\nThe ideal candidate has built or shipped a full system that improved from its own outputs or feedback end to end. This is rare at this level, so treat it as a standout differentiator rather than a filter. Examples:\n\n - RLHF / RLAIF pipelines\n\n - Self-play systems\n\n - Active-learning loops\n\n - Automated data flywheels\n\n - Agentic evaluation harnesses\n\nNice to Have:\n\n - PhD or MS in RL / ML paired with real production experience (either the science or the engineering half alone is fine if the other is strong).\n\n - Experience at a lab or company doing RLHF, agents, or large-scale ML infrastructure.\n\n - Familiarity with LLM fine-tuning, evaluation frameworks, or agent orchestration.\n\n\n\n\nWHY JOIN HIPPOCRATIC AI\n\nReinvent 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.\n\nWork 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.\n\nBacked 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.\n\nBuild 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.\n\n\nEQUAL OPPORTUNITY\n\nHippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.\n\nPlease be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com http://hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process."},{"id":"0b979abf-dae3-4b9a-b50a-be947793328c","title":"Accounting Manager","department":"Corporate","team":"Finance","employmentType":"FullTime","location":"Gurugram, India","secondaryLocations":[],"publishedAt":"2026-10-26T14:13:55.485+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":" Haryana","addressCountry":"India","addressLocality":"Gurugram"}},"jobUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/0b979abf-dae3-4b9a-b50a-be947793328c","applyUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/0b979abf-dae3-4b9a-b50a-be947793328c/application","descriptionHtml":"As the Accounting Manager for the business, you will own, lead, and scale the accounting operations. The ideal candidate will have a strong background in full-stack accounting, including end-to-end responsibilities across Accounts Payable (AP), Accounts Receivable (AR), Revenue Accounting, Invoicing, Payroll, Fixed Assets, Leases etc. and Month-End Closures processes and systems to support Hippocratic AI’s next growth stage. You will collaborate cross-departmentally to own end-to-end financial operations to manage the accounting accurately and on time and close month end books. Specifically, you will work with the corporate teams in the US and India and an outsourced bookkeeper in India (to start with) to ensure seamless operations that drive business success.
We value in-person teamwork and believe the best ideas happen together. Our team is expected to be in the office five days a week in Gurugram. This role will also require engaging with a US based team requiring some flexibility for overlapping hours with California.
Own the Accounting Function & Financial Close
Manage the end-to-end accounting function, ensuring compliance with applicable accounting standards in a fast-paced, high-growth environment
Lead day-to-day accounting and the month-end, quarter-end, and year-end close, ensuring accurate and timely financial reporting
Own financial compliance and deliverables for all global entities, including close, reporting, and consolidation
Ensure the accuracy and integrity of financial statements, with complete reconciliations and supporting documentation
Run AP, AR, Revenue & Expense Operations
Oversee the full AP cycle: vendor invoice processing, reconciliation, and payments, partnering with internal teams to resolve vendor and supplier issues
Manage AR and revenue activities, including billing, collections, reconciliations, and revenue recognition
Prepare and analyze reports such as aging reports and payment and receivable forecasts
Supervise the employee expense claims process and operate across multiple platforms for credit card payments, invoice processing, and travel bookings
Strengthen Controls, Compliance & Audit
Ensure compliance with company policies and with federal, state, and local regulations
Create and execute SOPs for accounting processes to maintain strong internal controls
Coordinate with auditors and support all statutory audits and compliance requirements
Drive continuous improvement and scale financial operations as the company grows
4-6 years of relevant experience in accounting function
BA-BS degree is required
Prior work experience supporting US business with US GAAP standards.
Experience with month-end closure processes, AP/AR, revenue, payroll and fixed asset accounting.
Experience with financial controls, vendor/ customer management, and process optimization to drive efficiency and maintain strong relationships with suppliers and customers
Experience in process automation and systems implementation
Experience with international payment processes and multi-currency transactions
Experience running payroll for multi-national companies
High proficiency in Excel and experience working with financial software and systems
Strong business acumen and a track record of holding cross-functional teams accountable and creating a culture of adhering to financial controls
Strong organizational and problem-solving skills with an ability to work autonomously
Excellent communication skills and attention to detail, with the ability to present complex ideas to stakeholders across teams and comfortable working in dynamic, fast paced environments
Experience working at a US-based B2B Enterprise SAAS company
Qualified CA or CPA
Experience with Quickbooks, Netsuite, Xero, Zoho Books, Ramp, Rippling, Bill.com, Campfire and Navan
Experience with Big4 / Big 6 firms or outsourced accounting functions supporting such firms
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.
Hippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.
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.
","descriptionPlain":"ABOUT THE ROLE:\n\nAs the Accounting Manager for the business, you will own, lead, and scale the accounting operations. The ideal candidate will have a strong background in full-stack accounting, including end-to-end responsibilities across Accounts Payable (AP), Accounts Receivable (AR), Revenue Accounting, Invoicing, Payroll, Fixed Assets, Leases etc. and Month-End Closures processes and systems to support Hippocratic AI’s next growth stage. You will collaborate cross-departmentally to own end-to-end financial operations to manage the accounting accurately and on time and close month end books. Specifically, you will work with the corporate teams in the US and India and an outsourced bookkeeper in India (to start with) to ensure seamless operations that drive business success.\n\nWe value in-person teamwork and believe the best ideas happen together. Our team is expected to be in the office five days a week in Gurugram. This role will also require engaging with a US based team requiring some flexibility for overlapping hours with California.\n\n\n\n\nWHAT YOU WILL DO\n\nOwn the Accounting Function & Financial Close\n\n - Manage the end-to-end accounting function, ensuring compliance with applicable accounting standards in a fast-paced, high-growth environment\n\n - Lead day-to-day accounting and the month-end, quarter-end, and year-end close, ensuring accurate and timely financial reporting\n\n - Own financial compliance and deliverables for all global entities, including close, reporting, and consolidation\n\n - Ensure the accuracy and integrity of financial statements, with complete reconciliations and supporting documentation\n\nRun AP, AR, Revenue & Expense Operations\n\n - Oversee the full AP cycle: vendor invoice processing, reconciliation, and payments, partnering with internal teams to resolve vendor and supplier issues\n\n - Manage AR and revenue activities, including billing, collections, reconciliations, and revenue recognition\n\n - Prepare and analyze reports such as aging reports and payment and receivable forecasts\n\n - Supervise the employee expense claims process and operate across multiple platforms for credit card payments, invoice processing, and travel bookings\n\nStrengthen Controls, Compliance & Audit\n\n - Ensure compliance with company policies and with federal, state, and local regulations\n\n - Create and execute SOPs for accounting processes to maintain strong internal controls\n\n - Coordinate with auditors and support all statutory audits and compliance requirements\n\n - Drive continuous improvement and scale financial operations as the company grows\n\n\nQUALIFICATIONS\n\n\nMUST-HAVES:\n\n - 4-6 years of relevant experience in accounting function\n\n - BA-BS degree is required\n\n - Prior work experience supporting US business with US GAAP standards.\n\n - Experience with month-end closure processes, AP/AR, revenue, payroll and fixed asset accounting.\n\n - Experience with financial controls, vendor/ customer management, and process optimization to drive efficiency and maintain strong relationships with suppliers and customers\n\n - Experience in process automation and systems implementation\n\n - Experience with international payment processes and multi-currency transactions\n\n - Experience running payroll for multi-national companies\n\n - High proficiency in Excel and experience working with financial software and systems\n\n - Strong business acumen and a track record of holding cross-functional teams accountable and creating a culture of adhering to financial controls\n\n - Strong organizational and problem-solving skills with an ability to work autonomously\n\n - Excellent communication skills and attention to detail, with the ability to present complex ideas to stakeholders across teams and comfortable working in dynamic, fast paced environments\n\n\nNICE-TO-HAVES:\n\n - Experience working at a US-based B2B Enterprise SAAS company\n\n - Qualified CA or CPA\n\n - Experience with Quickbooks, Netsuite, Xero, Zoho Books, Ramp, Rippling, Bill.com http://Bill.com, Campfire and Navan\n\n - Experience with Big4 / Big 6 firms or outsourced accounting functions supporting such firms\n\n\nWHY JOIN HIPPOCRATIC AI\n\nReinvent 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.\n\nWork 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.\n\nBacked 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.\n\nBuild 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.\n\n\nEQUAL OPPORTUNITY\n\nHippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.\n\nPlease be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com http://hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process."},{"id":"1846f135-07e5-4508-8625-3f2d8609b00f","title":"Governance, Risk, and Compliance (GRC) Lead","department":"Corporate","team":"Technology & Infrastructure","employmentType":"FullTime","location":"Menlo Park, CA","secondaryLocations":[],"publishedAt":"2026-10-16T20:19:47.091+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Menlo Park"}},"jobUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/1846f135-07e5-4508-8625-3f2d8609b00f","applyUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/1846f135-07e5-4508-8625-3f2d8609b00f/application","descriptionHtml":"About the Role
Hippocratic AI is looking for a GRC Program Lead to own and scale our governance, risk, and compliance program. Reporting to the CISO, you will be the central point of contact for certifications and attestations (SOC 2, HITRUST, HIPAA, ISO 42001), customer security assurance, U.S. and international data privacy, regulatory and AI governance initiatives, and enterprise risk management. You will work across Sales, Engineering, DevOps, Clinical, and Legal teams to keep our compliance posture ahead of the demands of health systems, payors, pharma and life-science partners, federal customers, and new international markets.
Responsibilities
Certifications, Frameworks & Compliance Programs
Framework and certification oversight: Maintain SOC 2 (including expansion of Trust Services Criteria), HITRUST, and HIPAA Privacy and Security attestations, along with data de-identification standards and applicable CMS regulations and federal guidelines.
ISO 42001 AI Management System: Implement and manage the AIMS program; drive gap remediation through a successful certification audit targeted for 2027.
International data compliance: Lead readiness and compliance workstreams for international expansion, including GDPR and UK GDPR, cross-border transfer mechanisms, in-country data residency requirements, and local healthcare and AI regulations (e.g., the EU AI Act) as we enter new markets.
Emerging requirements: Monitor and operationalize new state, federal, and international obligations (e.g., DATC) as they apply to our business.
Cloud and federal compliance: Drive GovCloud and FedRAMP High / NIST SP 800-171 workstreams, including control mapping, documentation, and authorization evidence.
Policy management: Draft, update, and communicate internal and external compliance policies.
Risk, Privacy & Governance
Enterprise risk: Partner with the CISO and stakeholders to identify, assess, and prioritize IT and security risks; maintain the risk framework and register and run quarterly risk reviews.
Vendor risk: Execute third-party (and fourth-party) compliance and risk assessments.
Data privacy: Lead Data Protection Impact Assessments (DPIAs), internal privacy reviews, data residency and regulatory analysis, and privacy documentation (records of processing, data maps, privacy notices) for U.S. and international jurisdictions.
AI governance: Conduct governance reviews against emerging AI laws and regulations and translate requirements into program controls.
Audit, Assurance & Program Operations
Audits and customer assessments: Serve as the lead and central point of contact for external audits and customer security assessments; manage and execute security questionnaires, RFP responses, customer calls, and follow-ups, pairing AI-assisted drafting with rigorous human review.
Annual assessments and renewals: Conduct and oversee customer annual assessments and renewals, with a focus on payor-side compliance requirements and provider third-party risk management (TPRM) portals.
Presentations: Deliver customer-facing and internal presentations on our security and compliance program, including customer security reviews, sales support calls, executive briefings, and team training sessions.
Trust center and dashboards: Own audit dashboards and the public trust center (Vanta); keep published evidence, policies, and certifications current; program-manage internal non-compliance processes through remediation.
Metrics and reporting: Build and maintain a metrics and reporting framework that measures program effectiveness and raises security maturity, including clear, actionable leadership reports and tabletop exercises.
Training and culture: Design and deliver targeted training on patient privacy, data security, and regulatory requirements; foster a culture of compliance across clinical, administrative, and technical teams.
Qualifications & Skills
AI skillset and examples of use
Bachelor's degree; CISM, CRISC, CHPC, or similar certifications preferred.
5+ years in GRC, compliance, or audit, ideally in a healthcare or payor environment.
Strong working knowledge of healthcare regulations and frameworks, including HIPAA, HITRUST, SOC 2, and ISO 42001.
Working knowledge of international data protection and privacy law (GDPR and UK GDPR, cross-border transfers, data residency) and experience translating it into operational controls.
Hands-on experience with customer security assessments, TPRM portals, and GRC or trust-center tooling (e.g., Vanta).
Proven experience leading risk assessments, audits, vendor risk reviews, and compliance reviews, with strong analytical, problem-solving, and communication skills.
Confident presenter able to explain complex security and compliance topics clearly to customers, executives, and non-technical audiences.
Startup experience; comfortable operating with ambiguity and minimal supervision.
Detail-oriented, organized, and adaptable, with high integrity, discretion, and ethical standards; collaborates effectively across clinical, administrative, and technical teams.
Nice to Have
Experience with FedRAMP High, GovCloud, and NIST SP 800-53 / 800-171, including authorization or readiness efforts for federal customers.
Experience in a pharma or life-science environment, including quality and validation frameworks such as GxP, GAMP 5, CSV, 21 CFR Part 11, and ALCOA+, and exposure to SaMD or ISO 13485.
Privacy certifications (CIPP/E, CIPP/US, CIPM), experience with ISO 27001 / 27701, and familiarity with emerging AI governance regulations such as the EU AI Act.
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.
Hippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.
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.
","descriptionPlain":"About the Role\n\nHippocratic AI is looking for a GRC Program Lead to own and scale our governance, risk, and compliance program. Reporting to the CISO, you will be the central point of contact for certifications and attestations (SOC 2, HITRUST, HIPAA, ISO 42001), customer security assurance, U.S. and international data privacy, regulatory and AI governance initiatives, and enterprise risk management. You will work across Sales, Engineering, DevOps, Clinical, and Legal teams to keep our compliance posture ahead of the demands of health systems, payors, pharma and life-science partners, federal customers, and new international markets.\n\n\n\nResponsibilities\n\nCertifications, Frameworks & Compliance Programs\n\n - Framework and certification oversight: Maintain SOC 2 (including expansion of Trust Services Criteria), HITRUST, and HIPAA Privacy and Security attestations, along with data de-identification standards and applicable CMS regulations and federal guidelines.\n\n - ISO 42001 AI Management System: Implement and manage the AIMS program; drive gap remediation through a successful certification audit targeted for 2027.\n\n - International data compliance: Lead readiness and compliance workstreams for international expansion, including GDPR and UK GDPR, cross-border transfer mechanisms, in-country data residency requirements, and local healthcare and AI regulations (e.g., the EU AI Act) as we enter new markets.\n\n - Emerging requirements: Monitor and operationalize new state, federal, and international obligations (e.g., DATC) as they apply to our business.\n\n - Cloud and federal compliance: Drive GovCloud and FedRAMP High / NIST SP 800-171 workstreams, including control mapping, documentation, and authorization evidence.\n\n - Policy management: Draft, update, and communicate internal and external compliance policies.\n\nRisk, Privacy & Governance\n\n - Enterprise risk: Partner with the CISO and stakeholders to identify, assess, and prioritize IT and security risks; maintain the risk framework and register and run quarterly risk reviews.\n\n - Vendor risk: Execute third-party (and fourth-party) compliance and risk assessments.\n\n - Data privacy: Lead Data Protection Impact Assessments (DPIAs), internal privacy reviews, data residency and regulatory analysis, and privacy documentation (records of processing, data maps, privacy notices) for U.S. and international jurisdictions.\n\n - AI governance: Conduct governance reviews against emerging AI laws and regulations and translate requirements into program controls.\n\nAudit, Assurance & Program Operations\n\n - Audits and customer assessments: Serve as the lead and central point of contact for external audits and customer security assessments; manage and execute security questionnaires, RFP responses, customer calls, and follow-ups, pairing AI-assisted drafting with rigorous human review.\n\n - Annual assessments and renewals: Conduct and oversee customer annual assessments and renewals, with a focus on payor-side compliance requirements and provider third-party risk management (TPRM) portals.\n\n - Presentations: Deliver customer-facing and internal presentations on our security and compliance program, including customer security reviews, sales support calls, executive briefings, and team training sessions.\n\n - Trust center and dashboards: Own audit dashboards and the public trust center (Vanta); keep published evidence, policies, and certifications current; program-manage internal non-compliance processes through remediation.\n\n - Metrics and reporting: Build and maintain a metrics and reporting framework that measures program effectiveness and raises security maturity, including clear, actionable leadership reports and tabletop exercises.\n\n - Training and culture: Design and deliver targeted training on patient privacy, data security, and regulatory requirements; foster a culture of compliance across clinical, administrative, and technical teams.\n\nQualifications & Skills\n\n - AI skillset and examples of use\n\n - Bachelor's degree; CISM, CRISC, CHPC, or similar certifications preferred.\n\n - 5+ years in GRC, compliance, or audit, ideally in a healthcare or payor environment.\n\n - Strong working knowledge of healthcare regulations and frameworks, including HIPAA, HITRUST, SOC 2, and ISO 42001.\n\n - Working knowledge of international data protection and privacy law (GDPR and UK GDPR, cross-border transfers, data residency) and experience translating it into operational controls.\n\n - Hands-on experience with customer security assessments, TPRM portals, and GRC or trust-center tooling (e.g., Vanta).\n\n - Proven experience leading risk assessments, audits, vendor risk reviews, and compliance reviews, with strong analytical, problem-solving, and communication skills.\n\n - Confident presenter able to explain complex security and compliance topics clearly to customers, executives, and non-technical audiences.\n\n - Startup experience; comfortable operating with ambiguity and minimal supervision.\n\n - Detail-oriented, organized, and adaptable, with high integrity, discretion, and ethical standards; collaborates effectively across clinical, administrative, and technical teams.\n\nNice to Have\n\n - Experience with FedRAMP High, GovCloud, and NIST SP 800-53 / 800-171, including authorization or readiness efforts for federal customers.\n\n - Experience in a pharma or life-science environment, including quality and validation frameworks such as GxP, GAMP 5, CSV, 21 CFR Part 11, and ALCOA+, and exposure to SaMD or ISO 13485.\n\n - Privacy certifications (CIPP/E, CIPP/US, CIPM), experience with ISO 27001 / 27701, and familiarity with emerging AI governance regulations such as the EU AI Act.\n\n\nWHY JOIN HIPPOCRATIC AI\n\nReinvent 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.\n\nWork 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.\n\nBacked 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.\n\nBuild 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.\n\n\nEQUAL OPPORTUNITY\n\nHippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.\n\nPlease be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com http://hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process."},{"id":"7efda4ed-dd5d-4471-99c5-b6db60385f27","title":"Director, Integration Engineering","department":"Customer Experience","team":"Customer Site Engineering","employmentType":"FullTime","location":"Menlo Park, CA","secondaryLocations":[],"publishedAt":"2026-10-08T21:28:02.071+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Menlo Park"}},"jobUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/7efda4ed-dd5d-4471-99c5-b6db60385f27","applyUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/7efda4ed-dd5d-4471-99c5-b6db60385f27/application","descriptionHtml":"Hippocratic AI builds safety-focused generative AI agents for healthcare: voice agents, care navigation, and patient engagement tools that work alongside clinicians to extend care beyond the hospital walls. Our platform is deeply integrated with health system technology, most centrally Epic, and increasingly Cerner (Oracle Health) and Athenahealth, so our agents can schedule, document, and coordinate care the same way a staff member would.
As Director of Integration Engineering, you’ll lead the team responsible for building and operating the technical connections between Hippocratic AI and every EHR and health system environment we work in. You’ll own the production integration and development shop end to end, including architecture, delivery, on-call reliability, and the engineering practices that keep partner go-lives on schedule and interfaces running cleanly in production.
You’ll work closely with Product, Engineering, Partnerships, and partner-side IT and interface teams to scope new integrations, keep existing ones healthy, and build a team and a process that scales as Hippocratic AI adds health system partners. You’ll manage engineers across the US and India, and you’ll be the executive point of accountability for integration delivery and production stability.
Own the production integration and development shop for Hippocratic AI’s EHR connectivity, covering Epic (Interconnect, Bridges, App Orchard/Vendor Services APIs), Cerner (Oracle Health), and athenahealth, plus HL7 v2 interface feeds and flat file exchanges with partner health systems.
Set technical direction and delivery standards for the integration team, balancing new partner go-lives against the stability of integrations already in production.
Lead and grow a distributed engineering team spanning the US and India, including hiring, performance management, on-call rotation design, and day-to-day prioritization across time zones.
Establish engineering practices for code review, branching strategy, release cadence, and incident response, using GitHub and Jira as the backbone for source control, change tracking, and work management.
Set standards for the team’s engineering toolkit (Python-based data transformation, integration engines such as InterSystems IRIS and Redox, and CI/CD pipelines) and make the build-vs-buy calls on when to use each.
Partner with Product and Partnerships to scope new integration work, size effort accurately, and commit to go-live timelines the team can hit.
Maintain deep technical fluency in Epic’s integration technologies (FHIR/REST APIs, HL7v2 interfaces, Interconnect) and apply the same rigor to Cerner (Oracle Health) and athenahealth integrations as those partnerships grow.
Direct architecture decisions for HL7 v2 messaging, flat file interfaces, and modern API-based integrations (FHIR/REST), guiding the right method for each partner’s capabilities and constraints alongside the architects.
Guide the team’s use of integration engines (InterSystems IRIS, Redox) and FHIR bulk data workflows, and push toward reusable components and templates that speed up future go-lives.
Ensure every production interface has monitoring, alerting, and a clear escalation path, and drive root-cause fixes, not workarounds, when interfaces fail.
Maintain a current, defensible map of every live integration, its data flows, and its dependencies, so the team can answer “what happens if this changes” for any partner on short notice.
Track Epic, Cerner, and athenahealth platform changes (API deprecations, new interoperability mandates, vendor portal requirements) and keep the roadmap ahead of them.
We believe the best ideas happen together. To support fast collaboration and a strong team culture, this role is expected to be in our Menlo Park office five days a week. Given the team’s footprint across the US and India, some flexibility for early or late meetings to overlap with the India-based team is expected, along with periodic travel to partner health systems and occasional overnight or out-of-state trips to support go-lives and escalations.
Bachelor’s degree in Computer Science, Engineering, Health Informatics, or a related field, or equivalent practical experience.
8+ years in healthcare integration engineering, with hands-on experience integrating against Epic (required); Cerner (Oracle Health) and/or athenahealth experience strongly preferred.
3+ years managing a production integration and/or software development team, including on-call ownership for live interfaces.
Deep, working knowledge of HL7 v2 messaging, flat file interface design, and modern API-based integration patterns (REST, FHIR), along with working knowledge of X12 transactions, across EHR ecosystems.
Proven experience running engineering delivery with GitHub (source control, code review, branching strategy) and Jira (sprint planning, issue tracking, release management).
Experience managing engineers across distributed, multi-time-zone teams, including the US and India.
Track record of taking health system integrations live on schedule and keeping them stable in production, including incident response and root-cause resolution.
Working knowledge of Python-based development and at least one integration engine (InterSystems IRIS), sufficient to review architecture and unblock the team on technical decisions.
Comfort working directly with internal teams as well as partner IT, interface, and clinical informatics teams during scoping, build, and go-live.
Direct experience with Epic’s Show Room, App Orchard/Vendor Services API catalog.
Experience with Cerner Millennium interfaces or athenahealth’s API/partner integration program specifically, not just Epic.
Background standing up or scaling an integration engineering function inside a high-growth health tech or digital health company.
Familiarity with scheduling APIs, patient engagement platforms, or voice/AI agent architectures in a clinical setting.
Experience with infrastructure and vendor relationships supporting integrations (e.g., telephony, cloud infrastructure, data exchange platforms).
Experience with CI/CD, containerization (Docker), or cloud-based deployment pipelines for integration workloads.
Background in AI/ML data pipelines or healthcare analytics.
Advanced degree in a technical or health informatics field.
Every live Epic, Cerner, and athenahealth integration runs cleanly in production, with monitoring, alerting, and documented escalation paths in place.
New partner integrations go live on committed timelines, with clear, repeatable scoping and delivery processes behind them.
The US and India integration team operates as one team, with clear ownership, consistent on-call coverage, and strong engineering practices in GitHub and Jira.
Executive leadership has a current, accurate picture of integration health, delivery status, and production risk across every partner.
Hippocratic AI has a reputation among health system partners as a technically rigorous, easy-to-integrate-with vendor.
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.
Hippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.
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.
","descriptionPlain":"ABOUT THE ROLE\n\nHippocratic AI builds safety-focused generative AI agents for healthcare: voice agents, care navigation, and patient engagement tools that work alongside clinicians to extend care beyond the hospital walls. Our platform is deeply integrated with health system technology, most centrally Epic, and increasingly Cerner (Oracle Health) and Athenahealth, so our agents can schedule, document, and coordinate care the same way a staff member would.\n\nAs Director of Integration Engineering, you’ll lead the team responsible for building and operating the technical connections between Hippocratic AI and every EHR and health system environment we work in. You’ll own the production integration and development shop end to end, including architecture, delivery, on-call reliability, and the engineering practices that keep partner go-lives on schedule and interfaces running cleanly in production.\n\nYou’ll work closely with Product, Engineering, Partnerships, and partner-side IT and interface teams to scope new integrations, keep existing ones healthy, and build a team and a process that scales as Hippocratic AI adds health system partners. You’ll manage engineers across the US and India, and you’ll be the executive point of accountability for integration delivery and production stability.\n\n\nWHAT YOU’LL DO\n\n\nLEAD THE INTEGRATION ENGINEERING FUNCTION\n\n - Own the production integration and development shop for Hippocratic AI’s EHR connectivity, covering Epic (Interconnect, Bridges, App Orchard/Vendor Services APIs), Cerner (Oracle Health), and athenahealth, plus HL7 v2 interface feeds and flat file exchanges with partner health systems.\n\n - Set technical direction and delivery standards for the integration team, balancing new partner go-lives against the stability of integrations already in production.\n\n - Lead and grow a distributed engineering team spanning the US and India, including hiring, performance management, on-call rotation design, and day-to-day prioritization across time zones.\n\n - Establish engineering practices for code review, branching strategy, release cadence, and incident response, using GitHub and Jira as the backbone for source control, change tracking, and work management.\n\n - Set standards for the team’s engineering toolkit (Python-based data transformation, integration engines such as InterSystems IRIS and Redox, and CI/CD pipelines) and make the build-vs-buy calls on when to use each.\n\n - Partner with Product and Partnerships to scope new integration work, size effort accurately, and commit to go-live timelines the team can hit.\n\n\nOWN EHR AND INTEROPERABILITY ARCHITECTURE\n\n - Maintain deep technical fluency in Epic’s integration technologies (FHIR/REST APIs, HL7v2 interfaces, Interconnect) and apply the same rigor to Cerner (Oracle Health) and athenahealth integrations as those partnerships grow.\n\n - Direct architecture decisions for HL7 v2 messaging, flat file interfaces, and modern API-based integrations (FHIR/REST), guiding the right method for each partner’s capabilities and constraints alongside the architects.\n\n - Guide the team’s use of integration engines (InterSystems IRIS, Redox) and FHIR bulk data workflows, and push toward reusable components and templates that speed up future go-lives.\n\n - Ensure every production interface has monitoring, alerting, and a clear escalation path, and drive root-cause fixes, not workarounds, when interfaces fail.\n\n - Maintain a current, defensible map of every live integration, its data flows, and its dependencies, so the team can answer “what happens if this changes” for any partner on short notice.\n\n - Track Epic, Cerner, and athenahealth platform changes (API deprecations, new interoperability mandates, vendor portal requirements) and keep the roadmap ahead of them.\n\n\nLOCATION AND TRAVEL\n\nWe believe the best ideas happen together. To support fast collaboration and a strong team culture, this role is expected to be in our Menlo Park office five days a week. Given the team’s footprint across the US and India, some flexibility for early or late meetings to overlap with the India-based team is expected, along with periodic travel to partner health systems and occasional overnight or out-of-state trips to support go-lives and escalations.\n\n\nWHAT YOU BRING\n\n\nMUST-HAVE\n\n - Bachelor’s degree in Computer Science, Engineering, Health Informatics, or a related field, or equivalent practical experience.\n\n - 8+ years in healthcare integration engineering, with hands-on experience integrating against Epic (required); Cerner (Oracle Health) and/or athenahealth experience strongly preferred.\n\n - 3+ years managing a production integration and/or software development team, including on-call ownership for live interfaces.\n\n - Deep, working knowledge of HL7 v2 messaging, flat file interface design, and modern API-based integration patterns (REST, FHIR), along with working knowledge of X12 transactions, across EHR ecosystems.\n\n - Proven experience running engineering delivery with GitHub (source control, code review, branching strategy) and Jira (sprint planning, issue tracking, release management).\n\n - Experience managing engineers across distributed, multi-time-zone teams, including the US and India.\n\n - Track record of taking health system integrations live on schedule and keeping them stable in production, including incident response and root-cause resolution.\n\n - Working knowledge of Python-based development and at least one integration engine (InterSystems IRIS), sufficient to review architecture and unblock the team on technical decisions.\n\n - Comfort working directly with internal teams as well as partner IT, interface, and clinical informatics teams during scoping, build, and go-live.\n\n\nNICE-TO-HAVE\n\n - Direct experience with Epic’s Show Room, App Orchard/Vendor Services API catalog.\n\n - Experience with Cerner Millennium interfaces or athenahealth’s API/partner integration program specifically, not just Epic.\n\n - Background standing up or scaling an integration engineering function inside a high-growth health tech or digital health company.\n\n - Familiarity with scheduling APIs, patient engagement platforms, or voice/AI agent architectures in a clinical setting.\n\n - Experience with infrastructure and vendor relationships supporting integrations (e.g., telephony, cloud infrastructure, data exchange platforms).\n\n - Experience with CI/CD, containerization (Docker), or cloud-based deployment pipelines for integration workloads.\n\n - Background in AI/ML data pipelines or healthcare analytics.\n\n - Advanced degree in a technical or health informatics field.\n\n\nWHAT SUCCESS LOOKS LIKE\n\n - Every live Epic, Cerner, and athenahealth integration runs cleanly in production, with monitoring, alerting, and documented escalation paths in place.\n\n - New partner integrations go live on committed timelines, with clear, repeatable scoping and delivery processes behind them.\n\n - The US and India integration team operates as one team, with clear ownership, consistent on-call coverage, and strong engineering practices in GitHub and Jira.\n\n - Executive leadership has a current, accurate picture of integration health, delivery status, and production risk across every partner.\n\n - Hippocratic AI has a reputation among health system partners as a technically rigorous, easy-to-integrate-with vendor.\n\n\n\n\nWHY JOIN HIPPOCRATIC AI\n\nReinvent 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.\n\nWork 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.\n\nBacked 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.\n\nBuild 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.\n\n\nEQUAL OPPORTUNITY\n\nHippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.\n\nPlease be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com http://hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process."},{"id":"57af6afc-e62e-46ec-a5d4-c80ac0350664","title":"RN Clinical Data Annotation Specialist","department":"Clinical","team":"Clinical","employmentType":"Contract","location":"United States","secondaryLocations":[],"publishedAt":"2026-10-07T20:53:18.648+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/57af6afc-e62e-46ec-a5d4-c80ac0350664","applyUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/57af6afc-e62e-46ec-a5d4-c80ac0350664/application","descriptionHtml":"We are seeking Registered Nurses with at least 5 years of clinical experience — bedside nursing, case management, clinical nurse educators, or clinical quality — to join our internal data annotation team evaluating AI-driven clinical agents. You will review agent conversations spanning primary care, chronic disease management, care management, medication adherence, and scheduling, labeling and annotating for clinical accuracy, safety, and guideline adherence. This is a remote, contract position (1099). We are open to individuals available for 20 to 40 hours/week with flexible scheduling.
Key Responsibilities
Review recorded and simulated AI agent interactions across a variety of clinical use cases, applying sound clinical judgment to assess the accuracy, safety, and appropriateness of agent responses.
Score and annotate agent performance using structured evaluation rubrics, aligning with evidence-based protocols and clinical practice guidelines.
Identify clinical safety concerns, inappropriate recommendations, edge cases, and gaps in agent clinical reasoning.
Provide clear, actionable written feedback to clinical and product teams to inform agent refinement.
Participate in periodic calibration sessions with other clinical reviewers to ensure consistent annotation standards.
Qualifications
Active, unrestricted RN license in the United States. Compact license preferred.
Minimum 5 years of hands-on clinical experience (bedside nursing, case management, clinical quality/utilization review, clinical nurse educators, or equivalent).
Strong clinical judgment and working knowledge of evidence-based protocols and clinical practice guidelines.
Comfortable reviewing written transcripts and applying structured rubrics with a high level of attention to detail.
Strong written communication skills for documenting feedback and corrections clearly.
Able to work independently and meet turnaround expectations.
Recommended
It is not a requirement that candidates have all of the recommended criteria
Prior experience in clinical quality assurance, utilization review, or case review.
Experience with chart audits or clinical documentation review.
Familiarity with AI-assisted clinical tools or digital health platforms.
Engagement Details
Contract (1099) position, 20-40 hrs per week.
Fully remote; flexible scheduling.
Hourly compensation, commensurate with experience.
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.
Hippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.
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.
","descriptionPlain":"ABOUT THE ROLE\n\nWe are seeking Registered Nurses with at least 5 years of clinical experience — bedside nursing, case management, clinical nurse educators, or clinical quality — to join our internal data annotation team evaluating AI-driven clinical agents. You will review agent conversations spanning primary care, chronic disease management, care management, medication adherence, and scheduling, labeling and annotating for clinical accuracy, safety, and guideline adherence. This is a remote, contract position (1099). We are open to individuals available for 20 to 40 hours/week with flexible scheduling.\n\nKey Responsibilities\n\n - Review recorded and simulated AI agent interactions across a variety of clinical use cases, applying sound clinical judgment to assess the accuracy, safety, and appropriateness of agent responses.\n\n - Score and annotate agent performance using structured evaluation rubrics, aligning with evidence-based protocols and clinical practice guidelines.\n\n - Identify clinical safety concerns, inappropriate recommendations, edge cases, and gaps in agent clinical reasoning.\n\n - Provide clear, actionable written feedback to clinical and product teams to inform agent refinement.\n\n - Participate in periodic calibration sessions with other clinical reviewers to ensure consistent annotation standards.\n\nQualifications\n\n - Active, unrestricted RN license in the United States. Compact license preferred.\n\n - Minimum 5 years of hands-on clinical experience (bedside nursing, case management, clinical quality/utilization review, clinical nurse educators, or equivalent).\n\n - Strong clinical judgment and working knowledge of evidence-based protocols and clinical practice guidelines.\n\n - Comfortable reviewing written transcripts and applying structured rubrics with a high level of attention to detail.\n\n - Strong written communication skills for documenting feedback and corrections clearly.\n\n - Able to work independently and meet turnaround expectations.\n\nRecommended\n\nIt is not a requirement that candidates have all of the recommended criteria\n\n - Prior experience in clinical quality assurance, utilization review, or case review.\n\n - Experience with chart audits or clinical documentation review.\n\n - Familiarity with AI-assisted clinical tools or digital health platforms.\n\nEngagement Details\n\n - Contract (1099) position, 20-40 hrs per week.\n\n - Fully remote; flexible scheduling.\n\n - Hourly compensation, commensurate with experience.\n\n\nWHY JOIN HIPPOCRATIC AI\n\nReinvent 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.\n\nWork 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.\n\nBacked 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.\n\nBuild 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.\n\n\nEQUAL OPPORTUNITY\n\nHippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.\n\nPlease be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com http://hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process."},{"id":"78140a26-fda3-4af6-b2eb-c83a5841a00a","title":"Product Manager, Labeling & Annotation Experience","department":"Research & Development","team":"Product","employmentType":"FullTime","location":"Menlo Park, CA","secondaryLocations":[],"publishedAt":"2026-10-28T20:52:20.033+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Menlo Park"}},"jobUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/78140a26-fda3-4af6-b2eb-c83a5841a00a","applyUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/78140a26-fda3-4af6-b2eb-c83a5841a00a/application","descriptionHtml":"This role owns the UX of a tool, not a feature — the labeling and annotation interface that HAI's internal annotation team lives in every day. As Product Manager, Interface Design, you're a UX/interface expert who applies consumer-product and gamification thinking to a workflow most companies treat as pure ops tooling, optimizing it for efficiency, accuracy, and engagement. You'll work closely with the Technical Product Managers who run labeling operations day to day, plus Engineering to ship interface changes.
Design for efficiency and accuracy
Redesign labeling workflows and interaction patterns that measurably cut the time and error rate per labeling task.
Decide which interface changes ship first, prioritizing around where labelers actually lose time or make mistakes today, not a generic backlog.
Define the interface-level metrics (task completion time, error/rework rate) that prove a design change worked.
Design for engagement
Apply gamification and behavioral-psychology principles to keep labelers accurate and engaged across long task queues, not just fast.
Own the reward, progress, and feedback mechanics inside the labeling app, deciding what actually motivates sustained quality rather than just throughput.
Partner across the annotation org
Work directly with the Technical Product Managers running labeling projects to translate what's slowing labelers down into interface changes, rather than working from secondhand requirements.
Partner with Engineering to ship interface and workflow changes, making the sequencing calls when priorities compete.
We believe the best ideas happen together. To support fast collaboration and a strong team culture, this role is expected to be in our Menlo Park office five days a week.
5 years of consumer app or web product experience with direct ownership of interface/interaction design decisions — not just requirements writing
Experience applying gamification or behavioral-psychology principles to product design
Comfort defining and tracking interface-level metrics (engagement, accuracy, completion time) and iterating against them
BA or BS is Required
Experience designing or improving a labeling/annotation interface specifically, or a similarly repetitive, high-volume task tool
Background at a data-labeling, crowdsourcing, or annotation platform
Familiarity with the operational side of managing labeling task queues
Within a year, the labeling interface shows measurably higher labeler engagement and annotation accuracy than today's baseline, with the improvement clearly attributable to this person's design decisions rather than incidental changes elsewhere in the pipeline.
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.
Hippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.
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.
","descriptionPlain":"ABOUT THE ROLE\n\nThis role owns the UX of a tool, not a feature — the labeling and annotation interface that HAI's internal annotation team lives in every day. As Product Manager, Interface Design, you're a UX/interface expert who applies consumer-product and gamification thinking to a workflow most companies treat as pure ops tooling, optimizing it for efficiency, accuracy, and engagement. You'll work closely with the Technical Product Managers who run labeling operations day to day, plus Engineering to ship interface changes.\n\n\nWHAT YOU'LL DO\n\nDesign for efficiency and accuracy\n\n - Redesign labeling workflows and interaction patterns that measurably cut the time and error rate per labeling task.\n\n - Decide which interface changes ship first, prioritizing around where labelers actually lose time or make mistakes today, not a generic backlog.\n\n - Define the interface-level metrics (task completion time, error/rework rate) that prove a design change worked.\n\nDesign for engagement\n\n - Apply gamification and behavioral-psychology principles to keep labelers accurate and engaged across long task queues, not just fast.\n\n - Own the reward, progress, and feedback mechanics inside the labeling app, deciding what actually motivates sustained quality rather than just throughput.\n\nPartner across the annotation org\n\n - Work directly with the Technical Product Managers running labeling projects to translate what's slowing labelers down into interface changes, rather than working from secondhand requirements.\n\n - Partner with Engineering to ship interface and workflow changes, making the sequencing calls when priorities compete.\n\n\nLOCATION AND TRAVEL\n\nWe believe the best ideas happen together. To support fast collaboration and a strong team culture, this role is expected to be in our Menlo Park office five days a week.\n\n\nWHAT YOU BRING\n\n\nMUST-HAVE\n\n - 5 years of consumer app or web product experience with direct ownership of interface/interaction design decisions — not just requirements writing\n\n - Experience applying gamification or behavioral-psychology principles to product design\n\n - Comfort defining and tracking interface-level metrics (engagement, accuracy, completion time) and iterating against them\n\n - BA or BS is Required\n\n\nNICE-TO-HAVE\n\n - Experience designing or improving a labeling/annotation interface specifically, or a similarly repetitive, high-volume task tool\n\n - Background at a data-labeling, crowdsourcing, or annotation platform\n\n - Familiarity with the operational side of managing labeling task queues\n\n\nWHAT SUCCESS LOOKS LIKE\n\nWithin a year, the labeling interface shows measurably higher labeler engagement and annotation accuracy than today's baseline, with the improvement clearly attributable to this person's design decisions rather than incidental changes elsewhere in the pipeline.\n\n\nWHY JOIN HIPPOCRATIC AI\n\nReinvent 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.\n\nWork 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.\n\nBacked 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.\n\nBuild 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.\n\n\nEQUAL OPPORTUNITY\n\nHippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.\n\nPlease be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com http://hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process."},{"id":"e35e118e-741e-4273-862e-743131e4ea63","title":"Integration Engineer ","department":"Customer Experience","team":"Customer Site Engineering","employmentType":"FullTime","location":"United States","secondaryLocations":[],"publishedAt":"2026-10-20T17:41:57.685+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/e35e118e-741e-4273-862e-743131e4ea63","applyUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/e35e118e-741e-4273-862e-743131e4ea63/application","descriptionHtml":"We're looking for an Integration Engineer to help bridge healthcare data systems with our clinical AI platform. You'll work at the intersection of healthcare interoperability, system design, and data engineering — connecting EHRs, APIs, and analytics pipelines that make our AI models work at scale.
In this role, you'll collaborate with delivery leads, product managers, and customer engineers to design and build reliable integrations using modern interoperability standards. Most of your work will involve Python-based data transformation and interface development, integrating with HL7 v2, FHIR, and RESTful APIs. You'll also coordinate with offshore engineers to deliver high-quality solutions on time.
You'll have the opportunity to shape our integration framework, define reusable patterns, and improve performance and reliability across the platform.
Design, build, and maintain healthcare data integrations using Python, HL7 v2, FHIR, REST APIs, and SQL.
Collaborate with product and delivery teams to translate requirements into scalable, testable integration flows.
Coordinate with offshore teams on implementation, review, and QA.
Monitor and optimize performance across live integrations, identifying and resolving bottlenecks.
Contribute to reusable components and integration templates that improve delivery efficiency.
Troubleshoot production issues, lead root-cause analysis, and ensure smooth resolution.
This role requires a minimum of 20-40% travel, which may include overnight or out-of-state trips.
Must-Have:
5+ years of experience in healthcare integration or interoperability engineering.
Strong understanding of HL7 v2, FHIR, and X12 standards.
Hands-on experience with Python and at least one integration engine (Mirth, Rhapsody, InterSystems IRIS, or Redox).
Comfortable working with RESTful APIs, JSON, and SQL.
Excellent communication and collaboration skills across technical and non-technical teams.
Strong ownership mindset with attention to reliability, scalability, and quality
Nice-to-Have:
Familiarity with EHR APIs (Epic, Cerner, AthenaOne, or similar).
Knowledge of FHIR bulk data workflows.
Experience with CI/CD, containerization (Docker), or cloud-based deployment pipelines.
Background in AI/ML data pipelines or healthcare analytics.
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.
Hippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.
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.
","descriptionPlain":"ABOUT THE ROLE\n\nWe're looking for an Integration Engineer to help bridge healthcare data systems with our clinical AI platform. You'll work at the intersection of healthcare interoperability, system design, and data engineering — connecting EHRs, APIs, and analytics pipelines that make our AI models work at scale.\n\nIn this role, you'll collaborate with delivery leads, product managers, and customer engineers to design and build reliable integrations using modern interoperability standards. Most of your work will involve Python-based data transformation and interface development, integrating with HL7 v2, FHIR, and RESTful APIs. You'll also coordinate with offshore engineers to deliver high-quality solutions on time.\n\nYou'll have the opportunity to shape our integration framework, define reusable patterns, and improve performance and reliability across the platform.\n\n\n\n\nWHAT YOU'LL DO\n\n - Design, build, and maintain healthcare data integrations using Python, HL7 v2, FHIR, REST APIs, and SQL.\n\n - Collaborate with product and delivery teams to translate requirements into scalable, testable integration flows.\n\n - Coordinate with offshore teams on implementation, review, and QA.\n\n - Monitor and optimize performance across live integrations, identifying and resolving bottlenecks.\n\n - Contribute to reusable components and integration templates that improve delivery efficiency.\n\n - Troubleshoot production issues, lead root-cause analysis, and ensure smooth resolution.\n\n - This role requires a minimum of 20-40% travel, which may include overnight or out-of-state trips.\n\n\n\n\nWHAT YOU BRING\n\nMust-Have:\n\n - 5+ years of experience in healthcare integration or interoperability engineering.\n\n - Strong understanding of HL7 v2, FHIR, and X12 standards.\n\n - Hands-on experience with Python and at least one integration engine (Mirth, Rhapsody, InterSystems IRIS, or Redox).\n\n - Comfortable working with RESTful APIs, JSON, and SQL.\n\n - Excellent communication and collaboration skills across technical and non-technical teams.\n\n - Strong ownership mindset with attention to reliability, scalability, and quality\n\nNice-to-Have:\n\n - Familiarity with EHR APIs (Epic, Cerner, AthenaOne, or similar).\n\n - Knowledge of FHIR bulk data workflows.\n\n - Experience with CI/CD, containerization (Docker), or cloud-based deployment pipelines.\n\n - Background in AI/ML data pipelines or healthcare analytics.\n\n\nWHY JOIN HIPPOCRATIC AI\n\nReinvent 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.\n\nWork 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.\n\nBacked 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.\n\nBuild 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.\n\n\nEQUAL OPPORTUNITY\n\nHippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.\n\nPlease be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com http://hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process."},{"id":"eef8a721-23de-4c20-bff0-56088b39afa0","title":"LLM Inference Engineer (Mid, Sr, Staff)","department":"Research & Development","team":"LLM Engineering & Sciences","employmentType":"FullTime","location":"Menlo Park, CA","secondaryLocations":[],"publishedAt":"2026-09-30T18:59:45.345+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Menlo Park"}},"jobUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/eef8a721-23de-4c20-bff0-56088b39afa0","applyUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/eef8a721-23de-4c20-bff0-56088b39afa0/application","descriptionHtml":"As HAI's LLM Inference Engineer, you will own the serving infrastructure that determines whether our breakthrough healthcare AI reaches patients efficiently and reliably. You'll optimize the systems that translate raw model capability into sub-100ms responses—making the difference between conversational experiences that feel natural and those that feel broken. This role exists because inference optimization at scale is where research meets reality: your work directly determines latency, cost, and availability for millions of patient conversations across healthcare systems.
Own your first major outcome: By day 90, you will have shipped a measurable improvement to our inference serving stack (reduced latency, improved throughput, or optimized cost per inference), validated the gains across our production deployment scenarios, and established the performance optimization roadmap that will guide infrastructure investment.
Drive lasting impact: At 12 months, you will have designed and deployed advanced serving architectures (disaggregated inference, optimized caching, speculative decoding) that meaningfully improve patient experience and operational efficiency, contributed novel optimization techniques that become part of our core infrastructure, and made our serving stack a durable competitive advantage in healthcare AI deployment.
You'll work alongside systems engineers, ML researchers, and infrastructure experts who are obsessed with making AI systems fast, reliable, and cost-effective. This is a team that values deep technical rigor, continuous benchmarking, and solving hard systems problems that have real impact on patient experience and business unit economics.
Design and implement multi-node serving architectures for distributed LLM inference
Optimize multi-LoRA serving systems
Apply advanced quantization techniques (FP4/FP6) to reduce model footprint while preserving quality
Implement speculative decoding and other latency optimization strategies
Develop disaggregated serving solutions with optimized caching strategies for prefill and decoding phases
Continuously benchmark and improve system performance across various deployment scenarios and GPU types
We believe the best ideas happen together. This role is based in our Menlo Park, California office, expected to be in office five days a week.
Compensation is based on experience, expertise, and level of responsibility. We offer competitive packages that reflect the seniority and scope of the role, along with equity, health insurance, and other benefits.
Experience optimizing LLM inference systems at scale
Proven expertise with distributed serving architectures for large language models
Hands-on experience implementing quantization techniques for transformer models
Strong understanding of modern inference optimization methods, including:
Speculative decoding techniques with draft models
Eagle speculative decoding approaches
Proficiency in Python and C++
Experience with CUDA programming and GPU optimization
Contributions to open-source inference frameworks such as vLLM, SGLang, or TensorRT-LLM
Experience with custom CUDA kernels
Track record of deploying inference systems in production environments
Deep understanding of performance optimization systems
Show us what you've built: Tell us about an LLM inference or training project that makes you proud! Whether you've optimized inference pipelines to achieve breakthrough performance, designed innovative training techniques, or built systems that scale to billions of parameters - we want to hear your story.
Open source contributor? Even better! If you've contributed to projects like vllm, sglang, lmdeploy or similar LLM optimization frameworks, we'd love to see your PRs. Your contributions to these communities demonstrate exactly the kind of collaborative innovation we value.
Join a team where your expertise won't just be appreciated—it will be celebrated and amplified. Help us shape the future of AI deployment at scale!
References
1. Polaris: A Safety-focused LLM Constellation Architecture for Healthcare, https://arxiv.org/abs/2403.13313
2. Polaris 2: https://www.hippocraticai.com/polaris2
3. Personalized Interactions: https://www.hippocraticai.com/personalized-interactions
4. Human Touch in AI: https://www.hippocraticai.com/the-human-touch-in-ai
5. Empathetic Intelligence: https://www.hippocraticai.com/empathetic-intelligence
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.
Hippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.
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.
","descriptionPlain":"ROLE MISSION\n\nAs HAI's LLM Inference Engineer, you will own the serving infrastructure that determines whether our breakthrough healthcare AI reaches patients efficiently and reliably. You'll optimize the systems that translate raw model capability into sub-100ms responses—making the difference between conversational experiences that feel natural and those that feel broken. This role exists because inference optimization at scale is where research meets reality: your work directly determines latency, cost, and availability for millions of patient conversations across healthcare systems.\n\n\nWHAT YOU WILL ACCOMPLISH\n\nOwn your first major outcome: By day 90, you will have shipped a measurable improvement to our inference serving stack (reduced latency, improved throughput, or optimized cost per inference), validated the gains across our production deployment scenarios, and established the performance optimization roadmap that will guide infrastructure investment.\n\nDrive lasting impact: At 12 months, you will have designed and deployed advanced serving architectures (disaggregated inference, optimized caching, speculative decoding) that meaningfully improve patient experience and operational efficiency, contributed novel optimization techniques that become part of our core infrastructure, and made our serving stack a durable competitive advantage in healthcare AI deployment.\n\n\nTHE TEAM\n\nYou'll work alongside systems engineers, ML researchers, and infrastructure experts who are obsessed with making AI systems fast, reliable, and cost-effective. This is a team that values deep technical rigor, continuous benchmarking, and solving hard systems problems that have real impact on patient experience and business unit economics.\n\n\nWHAT YOU'LL DO\n\n - Design and implement multi-node serving architectures for distributed LLM inference\n\n - Optimize multi-LoRA serving systems\n\n - Apply advanced quantization techniques (FP4/FP6) to reduce model footprint while preserving quality\n\n - Implement speculative decoding and other latency optimization strategies\n\n - Develop disaggregated serving solutions with optimized caching strategies for prefill and decoding phases\n\n - Continuously benchmark and improve system performance across various deployment scenarios and GPU types\n\n\nLOCATION REQUIREMENT\n\nWe believe the best ideas happen together. This role is based in our Menlo Park, California office, expected to be in office five days a week. \n\n\n\n\nCOMPENSATION\n\nCompensation is based on experience, expertise, and level of responsibility. We offer competitive packages that reflect the seniority and scope of the role, along with equity, health insurance, and other benefits.\n\n\nWHAT YOU BRING\n\n\nMUST-HAVE:\n\n - Experience optimizing LLM inference systems at scale\n\n - Proven expertise with distributed serving architectures for large language models\n\n - Hands-on experience implementing quantization techniques for transformer models\n\n - Strong understanding of modern inference optimization methods, including:\n \n - Speculative decoding techniques with draft models\n \n - Eagle speculative decoding approaches\n\n - Proficiency in Python and C++\n\n - Experience with CUDA programming and GPU optimization\n\n\nNICE-TO-HAVE:\n\n - Contributions to open-source inference frameworks such as vLLM, SGLang, or TensorRT-LLM\n\n - Experience with custom CUDA kernels\n\n - Track record of deploying inference systems in production environments\n\n - Deep understanding of performance optimization systems\n\nShow us what you've built: Tell us about an LLM inference or training project that makes you proud! Whether you've optimized inference pipelines to achieve breakthrough performance, designed innovative training techniques, or built systems that scale to billions of parameters - we want to hear your story.\nOpen source contributor? Even better! If you've contributed to projects like vllm, sglang, lmdeploy or similar LLM optimization frameworks, we'd love to see your PRs. Your contributions to these communities demonstrate exactly the kind of collaborative innovation we value.\nJoin a team where your expertise won't just be appreciated—it will be celebrated and amplified. Help us shape the future of AI deployment at scale!\n\nReferences\n1. Polaris: A Safety-focused LLM Constellation Architecture for Healthcare, https://arxiv.org/abs/2403.13313\n2 https://arxiv.org/abs/2403.133132. Polaris 2: https://www.hippocraticai.com/polaris2\n3 https://www.hippocraticai.com/polaris23. Personalized Interactions: https://www.hippocraticai.com/personalized-interactions\n4 https://www.hippocraticai.com/personalized-interactions4. Human Touch in AI: https://www.hippocraticai.com/the-human-touch-in-ai\n5 https://www.hippocraticai.com/the-human-touch-in-ai5. Empathetic Intelligence: https://www.hippocraticai.com/empathetic-intelligence https://www.hippocraticai.com/empathetic-intelligence6\n\n\nWHY JOIN HIPPOCRATIC AI\n\nReinvent 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.\n\nWork 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.\n\nBacked 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.\n\nBuild 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.\n\n\nEQUAL OPPORTUNITY\n\nHippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.\n\nPlease be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com http://hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process."},{"id":"6d837e59-f26d-4598-a097-6d4f23b7e600","title":"Lead Product Manager, Orchestrators","department":"Research & Development","team":"Product","employmentType":"FullTime","location":"Menlo Park, CA","secondaryLocations":[],"publishedAt":"2026-09-30T01:06:59.550+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Menlo Park"}},"jobUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/6d837e59-f26d-4598-a097-6d4f23b7e600","applyUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/6d837e59-f26d-4598-a097-6d4f23b7e600/application","descriptionHtml":"Hippocratic AI needs a product owner who understands what health plans, health systems, and providers need: measurable ROI, a fit with existing workflows, and clinical and regulatory trust.
As Lead Product Manager, Payor/Provider Vertical, you’ll own how our platform demonstrates and delivers value in this market. You’ll report to the Chief Product Officer and work closely with Engineering, your counterpart vertical PM, and the relevant GTM and Partnerships teams.
Define the vertical strategy
Identify and prioritize the high-value use cases ([e.g., Star Ratings improvement, prior authorization support, proactive care coordination — payor] / [e.g., provider workflow ROI, clinical throughput, patient experience — provider]) that anchor the long-term roadmap.
Set the vertical's north star metrics and translate them into a roadmap Engineering and clinical / operations teams can execute against.
Decide which segments / workflows to pursue first, based on what's actually blocking adoption and expansion today rather than a generic feature backlog.
Partner directly with customers
Serve as the primary product partner for payor executives / provider and health system stakeholders, translating regulatory constraints such as NCQA/HEDIS / clinical and operational requirements into product requirements.
Sit directly in customer conversations, representing product data and ROI yourself rather than relaying it secondhand.
Run discovery that surfaces the pain points worth solving, not just the ones customers raise first.
Drive execution with Engineering
Turn customer needs into crisp technical specs and work hand-in-hand with Engineering to ship them, making the sequencing calls when priorities conflict.
Partner with the clinical safety team to ensure every voice interaction meets Hippocratic AI's safety standards before it reaches members.
Own the transition of each use case from pilot to production, deciding when it's ready to scale.
Support go-to-market
Build the value propositions, ROI models, and case studies Sales and Marketing use to close deals.
Deepen HAI's product depth in this vertical and share that context with the parallel PM as GTM expands across both sides of the business.
We believe the best ideas happen together. To support fast collaboration and a strong team culture, this role is expected to be in our Menlo Park office five days a week.
7+ years of product management experience, including significant time inside the health insurance/payor ecosystem / health tech serving providers or health systems specifically — not adjacent enterprise SaaS.
Track record building product workflows tied to demonstrable ROI or value, not just shipping features.
Experience partnering directly with Engineering to ship products, not just writing requirements.
Comfort sitting directly in customer conversations and translating them into product decisions.
Working knowledge of member journeys, risk adjustment, and value-based care dynamics; experience translating regulatory frameworks (NCQA, HEDIS) into product requirements
Working knowledge of provider workflows, clinical operations, and health system economics; experience translating clinical and operational requirements into product requirements
Bachelor's degree
Working understanding of LLM and speech-to-text/text-to-speech capabilities and limitations.
Health tech PM experience in the counterpart vertical — useful breadth across both sides of HAI's go-to-market.
Clinical documentation, claims, or utilization-management domain exposure
Consumer-grade UX product sense
Experience presenting to both clinical/executive audiences (e.g., CMOs) and engineering audiences.
Prior experience in a founding or zero-to-one product role.
Experience at a health tech company already selling into health plans / health systems or providers.
Within 6-12 months, the payor / provider vertical has two to three flagship use cases / a specific, product-embedded ROI story live in production with at least one major health plan / provider customer — a live workflow that proves value on an ongoing basis, not a one-time case study. Payor executives / provider customers treat this person as their primary product partner by default, the roadmap reflects real field signal from GTM and Engineering rather than assumptions, and Sales has ROI models and case studies, built with their input, that are actively used to close new deals.
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.
Hippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.
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.
","descriptionPlain":"ABOUT THE ROLE\n\nHippocratic AI needs a product owner who understands what health plans, health systems, and providers need: measurable ROI, a fit with existing workflows, and clinical and regulatory trust.\n\nAs Lead Product Manager, Payor/Provider Vertical, you’ll own how our platform demonstrates and delivers value in this market. You’ll report to the Chief Product Officer and work closely with Engineering, your counterpart vertical PM, and the relevant GTM and Partnerships teams.\n\n\n\n\nWHAT YOU'LL DO\n\nDefine the vertical strategy\n\n - Identify and prioritize the high-value use cases ([e.g., Star Ratings improvement, prior authorization support, proactive care coordination — payor] / [e.g., provider workflow ROI, clinical throughput, patient experience — provider]) that anchor the long-term roadmap.\n\n - Set the vertical's north star metrics and translate them into a roadmap Engineering and clinical / operations teams can execute against.\n\n - Decide which segments / workflows to pursue first, based on what's actually blocking adoption and expansion today rather than a generic feature backlog.\n\nPartner directly with customers\n\n - Serve as the primary product partner for payor executives / provider and health system stakeholders, translating regulatory constraints such as NCQA/HEDIS / clinical and operational requirements into product requirements.\n\n - Sit directly in customer conversations, representing product data and ROI yourself rather than relaying it secondhand.\n\n - Run discovery that surfaces the pain points worth solving, not just the ones customers raise first.\n\nDrive execution with Engineering\n\n - Turn customer needs into crisp technical specs and work hand-in-hand with Engineering to ship them, making the sequencing calls when priorities conflict.\n\n - Partner with the clinical safety team to ensure every voice interaction meets Hippocratic AI's safety standards before it reaches members.\n\n - Own the transition of each use case from pilot to production, deciding when it's ready to scale.\n\nSupport go-to-market\n\n - Build the value propositions, ROI models, and case studies Sales and Marketing use to close deals.\n\n - Deepen HAI's product depth in this vertical and share that context with the parallel PM as GTM expands across both sides of the business.\n\n\nLOCATION AND TRAVEL\n\nWe believe the best ideas happen together. To support fast collaboration and a strong team culture, this role is expected to be in our Menlo Park office five days a week.\n\n\nWHAT YOU BRING\n\n\nMUST-HAVE\n\n - 7+ years of product management experience, including significant time inside the health insurance/payor ecosystem / health tech serving providers or health systems specifically — not adjacent enterprise SaaS.\n\n - Track record building product workflows tied to demonstrable ROI or value, not just shipping features.\n\n - Experience partnering directly with Engineering to ship products, not just writing requirements.\n\n - Comfort sitting directly in customer conversations and translating them into product decisions.\n\n - Working knowledge of member journeys, risk adjustment, and value-based care dynamics; experience translating regulatory frameworks (NCQA, HEDIS) into product requirements\n\n - Working knowledge of provider workflows, clinical operations, and health system economics; experience translating clinical and operational requirements into product requirements\n\n - Bachelor's degree\n\n - Working understanding of LLM and speech-to-text/text-to-speech capabilities and limitations.\n\n\nNICE-TO-HAVE\n\n - Health tech PM experience in the counterpart vertical — useful breadth across both sides of HAI's go-to-market.\n\n - Clinical documentation, claims, or utilization-management domain exposure\n\n - Consumer-grade UX product sense\n\n - Experience presenting to both clinical/executive audiences (e.g., CMOs) and engineering audiences.\n\n - Prior experience in a founding or zero-to-one product role.\n\n - Experience at a health tech company already selling into health plans / health systems or providers.\n\n\nWHAT SUCCESS LOOKS LIKE\n\nWithin 6-12 months, the payor / provider vertical has two to three flagship use cases / a specific, product-embedded ROI story live in production with at least one major health plan / provider customer — a live workflow that proves value on an ongoing basis, not a one-time case study. Payor executives / provider customers treat this person as their primary product partner by default, the roadmap reflects real field signal from GTM and Engineering rather than assumptions, and Sales has ROI models and case studies, built with their input, that are actively used to close new deals.\n\n\nWHY JOIN HIPPOCRATIC AI\n\nReinvent 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.\n\nWork 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.\n\nBacked 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.\n\nBuild 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.\n\n\nEQUAL OPPORTUNITY\n\nHippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.\n\nPlease be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com http://hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process."},{"id":"9c06e5cc-d4ba-4fec-922c-1ea71e832427","title":"Audio Transcription Specialist","department":"Research & Development","team":"LLM Engineering & Sciences","employmentType":"FullTime","location":"Menlo Park, CA","secondaryLocations":[],"publishedAt":"2026-10-22T03:56:57.070+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Menlo Park"}},"jobUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/9c06e5cc-d4ba-4fec-922c-1ea71e832427","applyUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/9c06e5cc-d4ba-4fec-922c-1ea71e832427/application","descriptionHtml":"Role mission
As HAI's Audio Transcription Specialist, you will own the quality of the transcription data behind our speech systems, directly shaping how accurately our AI hears and understands patients and clinicians. This role exists because as our voice agents scale across health systems, the quality of our audio training data and our ability to explain ASR failures now determine how fast and how safely our speech systems improve.
What you will accomplish
Within 90 days: Stand up a repeatable QA process for external transcription providers, with refreshed review criteria and a first error taxonomy that researchers use to prioritize ASR work.
Within 12 months: Measurably reduce recurring transcription errors, with provider feedback loops, validated audio pipelines, and a maintained error taxonomy that researchers rely on to guide and measure ASR improvements.
What success looks like: Your work will improve transcription consistency, reduce recurring data quality issues, and give researchers clear, well-categorized evidence to guide ASR improvements.
The team
You will work closely with researchers and engineers who build and evaluate our speech systems, and with the external providers who produce our transcription data. The team moves fast, operates with high autonomy, and turns quality findings directly into improvements to data and models.
Evaluate external transcription quality: Review transcriptions from external providers against annotation guidelines for accuracy and completeness, deliver written feedback to each provider, and track recurring error patterns over time.
Improve quality processes: Design, document, and refine QA workflows, review criteria, and transcription guidelines, and implement process changes that close systematic quality gaps identified in provider output.
Validate audio data pipelines: Test audio processing and annotation pipelines end to end, and verify that the training data they produce is accurate, consistent, and aligned with human judgments.
Investigate production errors: Analyze audio and transcription errors observed in production ASR systems, document failure patterns, and assess their impact on downstream performance.
Build useful error categories: Develop and maintain an error taxonomy that researchers use to identify ASR weaknesses, prioritize improvements, and measure progress.
Collaborate across teams: Present quality findings to researchers, engineers, and external providers, and partner with them to turn those findings into changes to data and systems.
Bachelor's degree in Linguistics, Speech and Language Sciences, or a related field
2+ years of experience in transcription, linguistic annotation, audio quality assurance, or a related field
Strong listening skills and attention to detail, including the ability to identify subtle transcription errors
Demonstrated ability to apply annotation guidelines consistently and exercise sound judgment in ambiguous cases
Strong written communication skills, with the ability to explain errors and provide actionable feedback
Comfort working with sensitive audio data and following data privacy and handling requirements
Ability to work onsite in our Menlo Park office five days a week
Familiarity with ASR systems and evaluation metrics such as word error rate (WER)
Experience evaluating speech across accents, dialects, noisy environments, or multiple languages
Experience working with external annotation providers or research and engineering teams
Experience identifying recurring quality issues and improving review processes
Familiarity with spreadsheets, SQL, or scripting tools for analyzing quality trends
Experience with healthcare audio or other privacy-sensitive, regulated data
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.
Hippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.
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.
","descriptionPlain":"Role mission\n\nAs HAI's Audio Transcription Specialist, you will own the quality of the transcription data behind our speech systems, directly shaping how accurately our AI hears and understands patients and clinicians. This role exists because as our voice agents scale across health systems, the quality of our audio training data and our ability to explain ASR failures now determine how fast and how safely our speech systems improve.\n\n\n\nWhat you will accomplish\n\nWithin 90 days: Stand up a repeatable QA process for external transcription providers, with refreshed review criteria and a first error taxonomy that researchers use to prioritize ASR work.\n\nWithin 12 months: Measurably reduce recurring transcription errors, with provider feedback loops, validated audio pipelines, and a maintained error taxonomy that researchers rely on to guide and measure ASR improvements.\n\nWhat success looks like: Your work will improve transcription consistency, reduce recurring data quality issues, and give researchers clear, well-categorized evidence to guide ASR improvements.\n\n\n\nThe team\n\nYou will work closely with researchers and engineers who build and evaluate our speech systems, and with the external providers who produce our transcription data. The team moves fast, operates with high autonomy, and turns quality findings directly into improvements to data and models.\n\n\n\n\nWHAT YOU WILL DO\n\n - Evaluate external transcription quality: Review transcriptions from external providers against annotation guidelines for accuracy and completeness, deliver written feedback to each provider, and track recurring error patterns over time.\n\n - Improve quality processes: Design, document, and refine QA workflows, review criteria, and transcription guidelines, and implement process changes that close systematic quality gaps identified in provider output.\n\n - Validate audio data pipelines: Test audio processing and annotation pipelines end to end, and verify that the training data they produce is accurate, consistent, and aligned with human judgments.\n\n - Investigate production errors: Analyze audio and transcription errors observed in production ASR systems, document failure patterns, and assess their impact on downstream performance.\n\n - Build useful error categories: Develop and maintain an error taxonomy that researchers use to identify ASR weaknesses, prioritize improvements, and measure progress.\n\n - Collaborate across teams: Present quality findings to researchers, engineers, and external providers, and partner with them to turn those findings into changes to data and systems.\n\n\nBASIC QUALIFICATIONS\n\n - Bachelor's degree in Linguistics, Speech and Language Sciences, or a related field\n\n - 2+ years of experience in transcription, linguistic annotation, audio quality assurance, or a related field\n\n - Strong listening skills and attention to detail, including the ability to identify subtle transcription errors\n\n - Demonstrated ability to apply annotation guidelines consistently and exercise sound judgment in ambiguous cases\n\n - Strong written communication skills, with the ability to explain errors and provide actionable feedback\n\n - Comfort working with sensitive audio data and following data privacy and handling requirements\n\n - Ability to work onsite in our Menlo Park office five days a week\n\n\nPREFERRED QUALIFICATIONS\n\n - Familiarity with ASR systems and evaluation metrics such as word error rate (WER)\n\n - Experience evaluating speech across accents, dialects, noisy environments, or multiple languages\n\n - Experience working with external annotation providers or research and engineering teams\n\n - Experience identifying recurring quality issues and improving review processes\n\n - Familiarity with spreadsheets, SQL, or scripting tools for analyzing quality trends\n\n - Experience with healthcare audio or other privacy-sensitive, regulated data\n\n\nWHY JOIN HIPPOCRATIC AI\n\nReinvent 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.\n\nWork 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.\n\nBacked 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.\n\nBuild 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.\n\n\nEQUAL OPPORTUNITY\n\nHippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.\n\nPlease be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com http://hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process."},{"id":"60554d02-c92a-43c0-835e-da59cf5853ba","title":"Senior Manager, Strategic Finance","department":"Corporate","team":"Finance","employmentType":"FullTime","location":"Menlo Park, CA","secondaryLocations":[],"publishedAt":"2026-10-23T21:56:10.062+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"Menlo Park"}},"jobUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/60554d02-c92a-43c0-835e-da59cf5853ba","applyUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/60554d02-c92a-43c0-835e-da59cf5853ba/application","descriptionHtml":"Hippocratic AI is looking for a Senior Manager, Strategic Finance to join the Strategic Finance team. This is a high-impact, foundational role that will be critical in providing strategic insights to the company’s leadership during a period of rapid growth and increasing financial complexity for the company. You will work closely with the various business units, data science, and accounting to own full P&L forecasts including GPU and cloud expense, headcount (full time and hourly) and contractor expense, software costs. You will support margin analysis for the business and drive cost optimization initiatives.
Own consolidation and reporting of the 3 statement financial model for the company
Own consolidation of revenue and operating expense forecasts
Own balance sheet and cash flow forecasts
Work with accounting team to maintain accuracy between general ledger and financial model
Prepare monthly commentaries on actuals vs budget
Report on key business KPIs and metrics driving P&L performance
Prepare materials for board and investor reporting
Help in preparing presentations, models, and other views for board presentations and fund raise
Own Gross Margin modelling, analysis, and reporting
Own forecasting, reporting, analysis, and commentary on gross margins for the business while working with the platform engineering, accounting, and GTM teams
Own and build forecasts for all COGS related items including GPU/cloud, telephony, ASR, TTS, and customer success teams
Own GPU, non-GPU cloud cost, and human eval modelling and reporting
Work closely with the platform engineering and LLM teams to maintain a running forecast of number of GPUs required for inference and training
Own and build forecasts for non-GPU cloud costs and human eval
Provide commentary on plan vs actuals and trends in overall costs and unit economics
Own headcount forecast and reconciliation while working with the HR team
Work closely with the recruiting team to maintain headcount cost forecast by department and team
Provide variance analysis for monthly plan vs actuals
Own forecasts and optimization for all contractor, software, and G&A spend
Own the forecasts and provide detailed commentary for all expenses by department while working closely with business owners of the spend and the accounting team
Track and capture weekly spend desk requests
We believe the best ideas happen together. To support fast collaboration and a strong team culture, this role is expected to be in our Menlo Park office five days a week, unless otherwise specified.
7-9 years of experience in investment banking, private equity, and strategic finance/FP&A at a high-growth tech company
Undergrad degree in a quantitative field
Experience forecasting and owning GPU/cloud budgets
Experience working at a B2B Enterprise SAAS company
Very strong financial modeling, analytical, and problem-solving skills and willingness to work with granular quantitative data
Strong business judgment with the ability to work cross-functionally on ambiguous questions, and drive accountability with business counterparts
High degree of ownership and independence with the ability to manage multiple priorities, create driver based forecasts/models, and proactively identifying opportunities and risks for the business
Excellent communication skills with the ability to distill complex analysis into actionable recommendations, adapting messaging effectively for audiences
AI first mindset with willingness to learn or experience working with AI applications like Claude Cowork and building dashboards/agents/skills to continuously improve and automate processes
High proficiency in Excel and experience working with financial software and systems
Experience working at a B2B Enterprise SAAS company
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.
Hippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.
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.
","descriptionPlain":"ABOUT THE SENIOR MANAGER, STRATEGIC FINANCE\n\nHippocratic AI is looking for a Senior Manager, Strategic Finance to join the Strategic Finance team. This is a high-impact, foundational role that will be critical in providing strategic insights to the company’s leadership during a period of rapid growth and increasing financial complexity for the company. You will work closely with the various business units, data science, and accounting to own full P&L forecasts including GPU and cloud expense, headcount (full time and hourly) and contractor expense, software costs. You will support margin analysis for the business and drive cost optimization initiatives.\n\n\n\n\nWHAT YOU WILL DO\n\nOwn consolidation and reporting of the 3 statement financial model for the company\n\n - Own consolidation of revenue and operating expense forecasts\n\n - Own balance sheet and cash flow forecasts\n\n - Work with accounting team to maintain accuracy between general ledger and financial model\n\n - Prepare monthly commentaries on actuals vs budget\n\n - Report on key business KPIs and metrics driving P&L performance\n\nPrepare materials for board and investor reporting\n\n - Help in preparing presentations, models, and other views for board presentations and fund raise\n\nOwn Gross Margin modelling, analysis, and reporting\n\n - Own forecasting, reporting, analysis, and commentary on gross margins for the business while working with the platform engineering, accounting, and GTM teams\n\n - Own and build forecasts for all COGS related items including GPU/cloud, telephony, ASR, TTS, and customer success teams\n\nOwn GPU, non-GPU cloud cost, and human eval modelling and reporting\n\n - Work closely with the platform engineering and LLM teams to maintain a running forecast of number of GPUs required for inference and training\n\n - Own and build forecasts for non-GPU cloud costs and human eval\n\n - Provide commentary on plan vs actuals and trends in overall costs and unit economics\n\nOwn headcount forecast and reconciliation while working with the HR team\n\n - Work closely with the recruiting team to maintain headcount cost forecast by department and team\n\n - Provide variance analysis for monthly plan vs actuals\n\nOwn forecasts and optimization for all contractor, software, and G&A spend\n\n - Own the forecasts and provide detailed commentary for all expenses by department while working closely with business owners of the spend and the accounting team\n\n - Track and capture weekly spend desk requests\n\n\nLOCATION REQUIREMENT\n\nWe believe the best ideas happen together. To support fast collaboration and a strong team culture, this role is expected to be in our Menlo Park office five days a week, unless otherwise specified.\n\n\n\n\nQUALIFICATIONS\n\n\nMUST-HAVES:\n\n - 7-9 years of experience in investment banking, private equity, and strategic finance/FP&A at a high-growth tech company\n\n - Undergrad degree in a quantitative field\n\n - Experience forecasting and owning GPU/cloud budgets\n\n - Experience working at a B2B Enterprise SAAS company\n\n - Very strong financial modeling, analytical, and problem-solving skills and willingness to work with granular quantitative data\n\n - Strong business judgment with the ability to work cross-functionally on ambiguous questions, and drive accountability with business counterparts\n\n - High degree of ownership and independence with the ability to manage multiple priorities, create driver based forecasts/models, and proactively identifying opportunities and risks for the business\n\n - Excellent communication skills with the ability to distill complex analysis into actionable recommendations, adapting messaging effectively for audiences\n\n - AI first mindset with willingness to learn or experience working with AI applications like Claude Cowork and building dashboards/agents/skills to continuously improve and automate processes\n\n - High proficiency in Excel and experience working with financial software and systems\n\n\nPREFERRED\n\n - Experience working at a B2B Enterprise SAAS company\n\n\nWHY JOIN HIPPOCRATIC AI\n\nReinvent 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.\n\nWork 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.\n\nBacked 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.\n\nBuild 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.\n\n\nEQUAL OPPORTUNITY\n\nHippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.\n\nPlease be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com http://hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process."},{"id":"0c1f1629-bbed-497a-9173-b7819465fa76","title":"Chief Commercial Officer, Biotech","department":"Sales & Marketing","team":"Sales","employmentType":"FullTime","location":"United States","secondaryLocations":[],"publishedAt":"2026-10-27T22:28:36.616+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/0c1f1629-bbed-497a-9173-b7819465fa76","applyUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/0c1f1629-bbed-497a-9173-b7819465fa76/application","descriptionHtml":"As Hippocratic AI's Chief Commercial Officer - Biotech, you will own our commercial growth in biotech and small-to-mid-sized pharma, getting safe, autonomous AI patient care to the launches that need it most. This role exists now because we are contracted with 7 of the top 20 pharma companies and are building a dedicated function to bring the same impact to the biotech ecosystem.
We need a commercial leader who is well established in biotech and small/mid cap pharma executive teams. You build teams people want to join, and you understand the biotech commercial model in and out.
Sales and revenue generation
Own the revenue number for biotech and SMID pharma, and the account strategy, pipeline, and forecast behind it.
Personally lead the first deals with founders, CEOs, and commercial, medical, access, and patient services leaders.
Build and lead a high-performing sales and commercial team as the business scales, including hiring, coaching, and setting performance standards.
Relationships and market access
Bring your network and relations: leverage your relationships with founders, CEOs, and commercial leaders at biotech and small-to-mid-sized pharma companies to build pipeline and shorten sales cycles.
Be the face of Hippocratic AI at the key biotech and biopharma meetings.
Go-to-market strategy and market development
Define how we go to market: target segments, pricing and packaging, and channels built for lean, launch-stage companies.
Prioritize high-value use cases across the biotech lifecycle, including launch readiness, patient onboarding, adherence and persistence, clinical trial recruitment, and HCP education.
Build clear commercial narratives and ROI frameworks for biotech buyers, covering faster launches, better patient starts and persistence, and lower cost than building in-house.
Customer success and account growth
Partner with Customer Success to ensure smooth transitions from close to deployment and early wins that drive expansion and advocacy.
Drive account expansion and retention across brands, pipeline assets, and indications as customers grow through launch and beyond.
15+ years of commercial experience in biotech, specialty pharma, or small-to-mid-sized pharma, including senior sales and commercial leadership roles.
Demonstrated track record of personally closing deals with biotech and mid-sized pharma organizations, with verifiable revenue achievement.
Trusted relationships at VP, SVP, and C-suite level across the sector.
Experience selling technology, platform, or services solutions into biopharma.
Proven ability to build and lead high-performing sales and commercial teams in high-growth environments.
Comfort in high-growth environments with limited structure and high expectations for ownership, urgency, and results.
Experience selling or deploying AI, digital health, SaaS, or data platforms into biopharma.
Experience with biotech launch and commercial models, including patient services hubs and outsourced commercial infrastructure.
Startup or early-stage experience scaling commercial functions from scratch.
Hippocratic AI is one of the fastest-growing companies in health-tech, building the leading frontier model for healthcare. Our Polaris constellation of purpose-trained LLMs powers safe, autonomous clinical conversations with patients and HCPs at over 99.9% accuracy. We are contracted with 7 of the top 20 pharma companies globally.
Location requirement
This role is remote within the US.
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.
Hippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.
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.
","descriptionPlain":"ABOUT THE ROLE\n\nAs Hippocratic AI's Chief Commercial Officer - Biotech, you will own our commercial growth in biotech and small-to-mid-sized pharma, getting safe, autonomous AI patient care to the launches that need it most. This role exists now because we are contracted with 7 of the top 20 pharma companies and are building a dedicated function to bring the same impact to the biotech ecosystem.\n\nWe need a commercial leader who is well established in biotech and small/mid cap pharma executive teams. You build teams people want to join, and you understand the biotech commercial model in and out.\n\n\n\n\nWHAT YOU WILL DO\n\nSales and revenue generation\n\n - Own the revenue number for biotech and SMID pharma, and the account strategy, pipeline, and forecast behind it.\n\n - Personally lead the first deals with founders, CEOs, and commercial, medical, access, and patient services leaders.\n\n - Build and lead a high-performing sales and commercial team as the business scales, including hiring, coaching, and setting performance standards.\n\nRelationships and market access\n\n - Bring your network and relations: leverage your relationships with founders, CEOs, and commercial leaders at biotech and small-to-mid-sized pharma companies to build pipeline and shorten sales cycles.\n\n - Be the face of Hippocratic AI at the key biotech and biopharma meetings.\n\nGo-to-market strategy and market development\n\n - Define how we go to market: target segments, pricing and packaging, and channels built for lean, launch-stage companies.\n\n - Prioritize high-value use cases across the biotech lifecycle, including launch readiness, patient onboarding, adherence and persistence, clinical trial recruitment, and HCP education.\n\n - Build clear commercial narratives and ROI frameworks for biotech buyers, covering faster launches, better patient starts and persistence, and lower cost than building in-house.\n\nCustomer success and account growth\n\n - Partner with Customer Success to ensure smooth transitions from close to deployment and early wins that drive expansion and advocacy.\n\n - Drive account expansion and retention across brands, pipeline assets, and indications as customers grow through launch and beyond.\n\n\n\n\nBASIC QUALIFICATIONS\n\n - 15+ years of commercial experience in biotech, specialty pharma, or small-to-mid-sized pharma, including senior sales and commercial leadership roles.\n\n - Demonstrated track record of personally closing deals with biotech and mid-sized pharma organizations, with verifiable revenue achievement.\n\n - Trusted relationships at VP, SVP, and C-suite level across the sector.\n\n - Experience selling technology, platform, or services solutions into biopharma.\n\n - Proven ability to build and lead high-performing sales and commercial teams in high-growth environments.\n\n - Comfort in high-growth environments with limited structure and high expectations for ownership, urgency, and results.\n\n\n\n\nPREFERRED QUALIFICATIONS\n\n - Experience selling or deploying AI, digital health, SaaS, or data platforms into biopharma.\n\n - Experience with biotech launch and commercial models, including patient services hubs and outsourced commercial infrastructure.\n\n - Startup or early-stage experience scaling commercial functions from scratch.\n\n\n\n\nABOUT HIPPOCRATIC AI\n\nHippocratic AI is one of the fastest-growing companies in health-tech, building the leading frontier model for healthcare. Our Polaris constellation of purpose-trained LLMs powers safe, autonomous clinical conversations with patients and HCPs at over 99.9% accuracy. We are contracted with 7 of the top 20 pharma companies globally.\n\n\n\nLocation requirement\n\nThis role is remote within the US.\n\n\nWHY JOIN HIPPOCRATIC AI\n\nReinvent 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.\n\nWork 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.\n\nBacked 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.\n\nBuild 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.\n\n\nEQUAL OPPORTUNITY\n\nHippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.\n\nPlease be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com http://hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process."},{"id":"581b26e3-f87b-47bb-b01c-d023f884c41d","title":"Senior Recruiter (Contractor)","department":"Corporate","team":"People & Talent","employmentType":"FullTime","location":"United States","secondaryLocations":[],"publishedAt":"2026-11-02T23:29:13.711+00:00","isListed":true,"isRemote":true,"workplaceType":"Remote","address":{"postalAddress":{"addressCountry":"United States"}},"jobUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/581b26e3-f87b-47bb-b01c-d023f884c41d","applyUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/581b26e3-f87b-47bb-b01c-d023f884c41d/application","descriptionHtml":"Healthcare has an access problem. There aren't enough providers, hours, or resources to meet the demand — and the gap is widening. Hippocratic AI is changing that by building safety-focused AI that can deliver genuinely helpful, clinically rigorous healthcare to people who would otherwise go without.
As a Senior Recruiter, you'll sit at the center of that mission. The teams you build will shape how quickly and how well this technology reaches patients. This isn't a role for someone who wants to move fast and fill seats. It's for someone who wants to hire with precision, earn the trust of leaders, and leave a mark on how a category-defining company grows.
Hire people who perform Quality of hire, time to productivity, and business impact all roll up here. The recruiter's job isn't placing butts in seats — it's ensuring the people hired actually deliver. That means rigorous competency assessment, clean handoffs to the hiring manager, and tracking whether predictions made in the loop turned out to be true.
Run a fast, efficient process Cycle time, cost per hire, and automation live here. Speed comes from tightening handoffs and eliminating low-value work, not from rushing candidates. When scheduling, note-taking, and debrief logistics run smoothly, recruiter time goes where it actually matters.
Win the candidate Offer acceptance and candidate experience are two sides of the same coin. Candidates who feel respected and informed throughout the process sign offers. That means close plans built early, honest communication, and every candidate getting a proper close-out regardless of outcome.
Be a trusted partner to the business Hiring manager partnership and strategic alignment sit here. A recruiter who kicks off every role against a clear spec, keeps the HM calibrated through the loop, and can connect closed roles to business outcomes earns a different kind of influence than one who just fills requisitions.
This role will initially be a contract role and can sit remote, however, if this role converts to Full Time it will be in Menlo Park, five days a week.
5+ years of full-cycle recruiting experience, with at least 3 years focused on sales, technical or engineering roles
Experience building structured interview processes and influencing how hiring decisions get made
Track record of closing senior candidates in competitive markets — you've navigated counteroffers and competing opportunities before
Comfort with data: you track your own metrics, know what they mean, and act on them
Experience in a fast-moving startup or high-growth environment
Bachelor's Degree required.
Background recruiting for AI, ML, or healthcare technology companies or companies that partner closely with health systems.
Experience building recruiting infrastructure from an early stage — playbooks, scorecards, leveling guides
Familiarity with clinical or regulated hiring contexts
Exposure to compensation strategy and offer construction at senior IC or leadership levels
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.
Hippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.
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.
","descriptionPlain":"THE OPPORTUNITY\n\nHealthcare has an access problem. There aren't enough providers, hours, or resources to meet the demand — and the gap is widening. Hippocratic AI is changing that by building safety-focused AI that can deliver genuinely helpful, clinically rigorous healthcare to people who would otherwise go without.\n\nAs a Senior Recruiter, you'll sit at the center of that mission. The teams you build will shape how quickly and how well this technology reaches patients. This isn't a role for someone who wants to move fast and fill seats. It's for someone who wants to hire with precision, earn the trust of leaders, and leave a mark on how a category-defining company grows.\n\n\nWHAT YOU'LL ACCOMPLISH\n\n - Hire people who perform Quality of hire, time to productivity, and business impact all roll up here. The recruiter's job isn't placing butts in seats — it's ensuring the people hired actually deliver. That means rigorous competency assessment, clean handoffs to the hiring manager, and tracking whether predictions made in the loop turned out to be true.\n\n - Run a fast, efficient process Cycle time, cost per hire, and automation live here. Speed comes from tightening handoffs and eliminating low-value work, not from rushing candidates. When scheduling, note-taking, and debrief logistics run smoothly, recruiter time goes where it actually matters.\n\n - Win the candidate Offer acceptance and candidate experience are two sides of the same coin. Candidates who feel respected and informed throughout the process sign offers. That means close plans built early, honest communication, and every candidate getting a proper close-out regardless of outcome.\n\n - Be a trusted partner to the business Hiring manager partnership and strategic alignment sit here. A recruiter who kicks off every role against a clear spec, keeps the HM calibrated through the loop, and can connect closed roles to business outcomes earns a different kind of influence than one who just fills requisitions.\n \n \n \n \n LOCATION\n \n This role will initially be a contract role and can sit remote, however, if this role converts to Full Time it will be in Menlo Park, five days a week.\n\n\nBASIC QUALIFICATIONS\n\n - 5+ years of full-cycle recruiting experience, with at least 3 years focused on sales, technical or engineering roles\n\n - Experience building structured interview processes and influencing how hiring decisions get made\n\n - Track record of closing senior candidates in competitive markets — you've navigated counteroffers and competing opportunities before\n\n - Comfort with data: you track your own metrics, know what they mean, and act on them\n\n - Experience in a fast-moving startup or high-growth environment\n\n - Bachelor's Degree required.\n\n\nPREFERRED QUALIFICATIONS\n\n - Background recruiting for AI, ML, or healthcare technology companies or companies that partner closely with health systems.\n\n - Experience building recruiting infrastructure from an early stage — playbooks, scorecards, leveling guides\n\n - Familiarity with clinical or regulated hiring contexts\n\n - Exposure to compensation strategy and offer construction at senior IC or leadership levels\n\n\nWHY JOIN HIPPOCRATIC AI\n\nReinvent 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.\n\nWork 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.\n\nBacked 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.\n\nBuild 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.\n\n\nEQUAL OPPORTUNITY\n\nHippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.\n\nPlease be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com http://hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process."},{"id":"38de180b-ac66-4c0c-93e5-d9dec1b71942","title":"Staff Site Reliability Engineer","department":"Research & Development","team":"Platform Engineering","employmentType":"FullTime","location":"Gurugram, India","secondaryLocations":[],"publishedAt":"2026-11-04T01:12:32.491+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":" Haryana","addressCountry":"India","addressLocality":"Gurugram"}},"jobUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/38de180b-ac66-4c0c-93e5-d9dec1b71942","applyUrl":"https://jobs.ashbyhq.com/hippocratic%20ai/38de180b-ac66-4c0c-93e5-d9dec1b71942/application","descriptionHtml":"We're looking for a Staff Site Reliability Engineer who is equally at home writing production software and running the infrastructure it lives on — and who wants to take ownership of one of the hardest, highest-leverage problems on our platform: intelligently managing a large fleet of GPU-backed models.
We run nearly 30 models across heterogeneous hardware, and keeping that fleet fast, reliable, and cost-effective is a serious engineering challenge. You'll build the GPU management and scheduling platform that sits at the center of it — collecting utilization and load metrics, interpreting what they actually mean, and using them to make real-time decisions about admission control and scaling. The goal: route and schedule inference calls so we use our capacity efficiently without exceeding it, and scale model replicas up and down automatically as demand shifts.
This is a senior role for someone with a decade in the field who can move fluidly between systems engineering and software development, and who is excited to own a complex, evolving system end to end.
Design and build our GPU management and scheduling platform — the system that decides when, where, and how inference calls run across a fleet of ~30 models on heterogeneous hardware
Build the metrics pipeline that collects GPU load and utilization data, and the logic that turns those signals into decisions
Implement admission control to protect capacity — deciding when to accept, queue, or shed inference requests so we operate within fleet limits
Build autoscaling that adjusts the number of model replicas in response to real-time demand and utilization
Develop cloud orchestration systems and operators in Python and Go to manage the model fleet
Architect and operate scalable, fault-tolerant, secure production systems on AWS, GCP, or Azure
Design and build infrastructure automation and deployment pipelines (Terraform, CI/CD) as first-class software
Stand up and maintain monitoring, logging, and alerting that keep the platform reliable and performant
Develop and enforce security and compliance policies appropriate to a healthcare AI platform
Partner with engineers and research scientists to diagnose and resolve complex infrastructure, deployment, and operational issues
Mentor engineers and raise the technical bar across the team
We value in-person teamwork and believe the best ideas happen together. Our team is expected to be in the office five days a week in Gurugram. This role will also require engaging with a US based team requiring some flexibility for overlapping hours with California.
Must-Have
10+ years of professional experience across site reliability / DevOps engineering and software engineering
Computer Science Degree Required from a top CS program.
Strong software engineering fundamentals — you build orchestration and scheduling systems in Python and/or Go, not just configure off-the-shelf tools
Experience designing systems that make decisions from operational metrics — collecting signals, interpreting them, and driving control loops such as autoscaling, load shedding, or admission control
Deep experience with infrastructure automation and CI/CD (Terraform, GitLab CI/CD, or similar)
Hands-on production experience with at least one major cloud platform (AWS, GCP, or Azure)
Strong knowledge of containerization and orchestration (Docker, Kubernetes)
Experience with monitoring and logging stacks (ELK, Grafana, Datadog, or similar)
Familiarity with secrets management and security tooling (HashiCorp Vault, AWS KMS, Azure Key Vault)
Excellent problem-solving skills and the ability to work both independently and collaboratively
Strong communication and interpersonal skills
Nice-to-Have
Experience managing GPU fleets or scheduling workloads across heterogeneous accelerators
Familiarity with ML inference serving and model deployment (e.g. Triton, KServe, Ray Serve, or similar)
Experience with Kubernetes autoscaling internals (HPA/VPA, custom metrics, custom controllers)
Experience implementing HIPAA and SOC 2 compliance
Experience operating in an HPC environment
Bachelor's or Master's in Computer Science, Computer Engineering, or a related field
Join our team at Hippocratic AI and help shape the future of clinically safe, production-grade AI systems.
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.
Hippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.
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.
","descriptionPlain":"ABOUT THE ROLE\n\nWe're looking for a Staff Site Reliability Engineer who is equally at home writing production software and running the infrastructure it lives on — and who wants to take ownership of one of the hardest, highest-leverage problems on our platform: intelligently managing a large fleet of GPU-backed models.\n\nWe run nearly 30 models across heterogeneous hardware, and keeping that fleet fast, reliable, and cost-effective is a serious engineering challenge. You'll build the GPU management and scheduling platform that sits at the center of it — collecting utilization and load metrics, interpreting what they actually mean, and using them to make real-time decisions about admission control and scaling. The goal: route and schedule inference calls so we use our capacity efficiently without exceeding it, and scale model replicas up and down automatically as demand shifts.\n\nThis is a senior role for someone with a decade in the field who can move fluidly between systems engineering and software development, and who is excited to own a complex, evolving system end to end.\n\n\n\n\nWHAT YOU'LL DO\n\n - Design and build our GPU management and scheduling platform — the system that decides when, where, and how inference calls run across a fleet of ~30 models on heterogeneous hardware\n\n - Build the metrics pipeline that collects GPU load and utilization data, and the logic that turns those signals into decisions\n\n - Implement admission control to protect capacity — deciding when to accept, queue, or shed inference requests so we operate within fleet limits\n\n - Build autoscaling that adjusts the number of model replicas in response to real-time demand and utilization\n\n - Develop cloud orchestration systems and operators in Python and Go to manage the model fleet\n\n - Architect and operate scalable, fault-tolerant, secure production systems on AWS, GCP, or Azure\n\n - Design and build infrastructure automation and deployment pipelines (Terraform, CI/CD) as first-class software\n\n - Stand up and maintain monitoring, logging, and alerting that keep the platform reliable and performant\n\n - Develop and enforce security and compliance policies appropriate to a healthcare AI platform\n\n - Partner with engineers and research scientists to diagnose and resolve complex infrastructure, deployment, and operational issues\n\n - Mentor engineers and raise the technical bar across the team\n\nWe value in-person teamwork and believe the best ideas happen together. Our team is expected to be in the office five days a week in Gurugram. This role will also require engaging with a US based team requiring some flexibility for overlapping hours with California.\n\n\n\n\nWHAT YOU BRING\n\nMust-Have\n\n - 10+ years of professional experience across site reliability / DevOps engineering and software engineering\n\n - Computer Science Degree Required from a top CS program.\n\n - Strong software engineering fundamentals — you build orchestration and scheduling systems in Python and/or Go, not just configure off-the-shelf tools\n\n - Experience designing systems that make decisions from operational metrics — collecting signals, interpreting them, and driving control loops such as autoscaling, load shedding, or admission control\n\n - Deep experience with infrastructure automation and CI/CD (Terraform, GitLab CI/CD, or similar)\n\n - Hands-on production experience with at least one major cloud platform (AWS, GCP, or Azure)\n\n - Strong knowledge of containerization and orchestration (Docker, Kubernetes)\n\n - Experience with monitoring and logging stacks (ELK, Grafana, Datadog, or similar)\n\n - Familiarity with secrets management and security tooling (HashiCorp Vault, AWS KMS, Azure Key Vault)\n\n - Excellent problem-solving skills and the ability to work both independently and collaboratively\n\n - Strong communication and interpersonal skills\n\nNice-to-Have\n\n - Experience managing GPU fleets or scheduling workloads across heterogeneous accelerators\n\n - Familiarity with ML inference serving and model deployment (e.g. Triton, KServe, Ray Serve, or similar)\n\n - Experience with Kubernetes autoscaling internals (HPA/VPA, custom metrics, custom controllers)\n\n - Experience implementing HIPAA and SOC 2 compliance\n\n - Experience operating in an HPC environment\n\n - Bachelor's or Master's in Computer Science, Computer Engineering, or a related field\n\n\n\nJoin our team at Hippocratic AI and help shape the future of clinically safe, production-grade AI systems.\n\n\nWHY JOIN HIPPOCRATIC AI\n\nReinvent 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.\n\nWork 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.\n\nBacked 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.\n\nBuild 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.\n\n\nEQUAL OPPORTUNITY\n\nHippocratic AI is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, genetic information, military or veteran status, or any other characteristic protected by applicable law. We are committed to building a team that reflects the patients we serve. We actively encourage applications from candidates of all backgrounds. If you require accommodations during the hiring process, please contact people@hippocraticai.com.\n\nPlease be aware of recruitment scams impersonating Hippocratic AI. All recruiting communication will come from @hippocraticai.com http://hippocraticai.com email addresses. We will never request payment or sensitive personal information during the hiring process."}],"apiVersion":"1"}