Call Center Representative, Hippocratic AI
AI Feedback
Large Language Model for healthcare
Open for applications
Large Language Model for healthcare
101-200 employees
Open for applications
101-200 employees
Company mission
To close the growing shortage of healthcare workers worldwide.
Role
Who you are
- Previous experience in a customer support or call center role
- Experience working with healthcare payors or providers is strongly preferred
- Comfortable using call center tools, computers, and dialers
- Strong verbal communication skills and attention to detail
- Self-starter who thrives in fast-paced, evolving environments
What the job involves
- We’re seeking Call Center Representatives to be founding members of our AI Feedback Team. In this role, you will be instrumental in helping us evaluate and iterate on our new centralized customer call center initiative
- This is a contract role supporting a 3-month pilot, with the potential for extension based on performance and project needs
- What You Will Be Doing:
- Serve as the first point of contact for patients and members via phone
- Triage incoming calls and direct inquiries appropriately
- Provide structured feedback on call processes, workflows, and tooling
- Collaborate closely with our data and AI teams to inform ongoing development
- Help shape the voice and experience of AI in healthcare
Our take
The healthcare system is under increasing pressure to improve performance and patient outcomes, while battling inefficient operations and an ongoing staff shortage. Hippocratic AI hopes to help the industry address these issues, by supplying LLM-powered healthcare agents.
Hippocratic's agents can be employed in a number of scenarios, for example follow-ups with discharged patients, health risk assessments, or pre-op chats. Rather than delivering one conversational agent, the company has specified models that deal with different conditions - just one part of its safety-focussed approach.
By taking measures such as getting real nurses to assess its AI, Hippocratic solidifies this commitment to safety. And it's seen significant investments which its using to further fund safety tests as well as develop its product. Most recently, it has partnered with EUCALIA to bring generative AI to Japan, putting the company on a good growth trajectory.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 5 rounds)
Jan 2025
$141m
SERIES B
Sep 2024
$17m
SERIES A
Total funding: $276m
Company HQ
Ventura, Palo Alto, CA
Leadership
Munjal Shah
(Co-Founder & CEO)Formerly CEO and Co-founder of Health IQ. Also co-founded Like.com, which was acquired by Google, and Andale Inc that was acquired by Vendio and then Alibaba.
Vishal Parikh
(Co-Founder & CPO)Co-founded Health IQ, where they worked as CTO, CRO then CPO. Founded and was a Software Architect at Motiv Power Systems.
Meenesh Bhimani MD, MHA
(Co-Founder & Chief Medical Officer)Former COO of El Camino Health. Has worked in several roles at O'Connor Hospital, most recently Hospital Executive/COO. Earned their MD at The Johns Hopkins University School of Medicine.
Subhabrata Mukherjee
(Co-Founder & Chief Scientific Officer)Was Principal Researcher at Microsoft Research (MSR) Redmond for 4 years, and before that a Machine Learning Scientist at Amazon. Earned a PhD from the Max Planck Institute for Informatics.
Alex Miller
(Co-Founder & COO)Previously Co-founder and SVP of Engineering and Sales Operations at Health IQ. Also co-founded and was CTO at Jump Gaming.
Saad Godil
(Co-Founder & CTO)Previously spent 15 years at NVIDIA, as Director of Verification (GPU) then Director of Applied Deep Learning Research.
Kim Parikh
(Co-Founder & SVP - Data & Content)Former VP of Strategy and Operations at Health IQ. Also worked in High Yield and Leveraged Finance at PIMCO, and Derivatives And Leveraged Finance at Western Asset Management.
Debajyoti Datta
(Co-Founder & AI Research Scientist)Earned a PhD in Machine Learning from the University of Virginia. Has worked as a Machine Learning Engineer for x.ai, Research Engineer for Crossing Minds and Machine Learning Fellow at Intuition Machines.
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