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Valerie Health
San Francisco, California, United States
Source: Valerie Health careers · View original posting
From Valerie Health's posting. “We” and “our” refer to the employer.
Valerie Health is the AI front office for independent provider groups. We are reimagining how independent practices operate by using AI to modernize patient/provider communication, enhance care, and drive industry-changing operational efficiencies.
Why join us now?
We are led by
Pete Shalek
(2x health tech exits, including a $600M acquisition by Optum) and
Nitin Joshi
(scaled Uber Eats + Health, Stripe Connect, and Bridge–acquired by Stripe for $1.1B). Beyond our founders, our team brings DNA from category leaders (Uber, Stripe, Meta), high-growth unicorns, and top consulting firms.
We partner with leading independent provider groups across the U.S., automating hundreds of thousands of tasks each month. Scaling at
7x year-over-year with 300% NRR as customers consistently expand usage.
We have raised $39m from world-class investors including Redpoint Ventures, General Catalyst, Primary Ventures, and BoxGroup.
As a Senior Agent Operations Associate, you will work at the forefront of applied AI, turning rapidly evolving models into reliable systems that handle real healthcare workflows at scale.
You will own problems end to end: understand how customer workflows operate, translate requirements into agent behavior, investigate performance in data, diagnose production issues, and decide where automation can safely replace manual work. You will partner closely with Customer Strategy, Operations, and Engineering to build, launch, and improve agent workflows. You will also work directly with customers during workflow discovery, triage, launches, and production troubleshooting.
This is a high-learning, high-ownership role. You will build deep intuition across AI systems, healthcare operations, and production workflows while helping define how Agent Operations should work as Valerie scales.
We expect candidates with 2-4 years of experience from backgrounds such as consulting, finance, analytics, operations, technical implementation, product, or related roles. We care more about learning velocity, evidence of achievement, and ownership than a specific tenure range.
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