About Fullscript
We’re an industry-leading health technology company on a mission to help people get better. We started in 2011 with one simple idea. Make it easier for practitioners to access the products they trust so they can deliver better care.
That simple idea grew into a platform that powers every part of care. Today, more than 125,000 practitioners use Fullscript for clinical insights, lab interpretations, patient analytics, education, and access to high-quality supplements. Over 10 million patients rely on Fullscript to stay connected to their care plans and follow through on treatment.
We build tools that make care smarter and more human. Tools that save time, simplify decisions, and help practitioners stay closely connected to the people they care for. When everything they need is in one place, they can focus on what matters most: helping people get better.
This is your invitation.
Bring your ideas, your grit, and your care for people.
Join us and shape the future of care.
The Role:
We’re hiring a Staff Product Manager, AI Platform & Experiences to help shape how AI meaningfully supports practitioners across the Fullscript platform. In this role, you’ll be responsible for defining strategy and driving execution for practitioner-facing AI experiences, with a strong understanding of the systems that power them. You’ll work across product, engineering, and data teams to ensure our AI capabilities are reliable, scalable, and thoughtfully integrated into the platform. This is a senior individual contributor role with broad scope and high autonomy. You’ll be expected to navigate ambiguity, make informed technical tradeoffs, and help establish what “great” looks like for AI-powered product experiences at Fullscript.
About our AI platform:
Fullscript’s AI capabilities are already live in production and continue to evolve. Our practitioner-facing AI experiences are built on a modern foundation that includes LLM-backed assistive workflows, shared platform context services, serverless delivery, and supporting infrastructure for evaluation, monitoring, and iteration. While this role does not require hands-on engineering, it does require comfort engaging deeply with technical concepts. This includes understanding how AI systems are composed, how changes impact quality and performance, and how platform-level decisions affect downstream product experiences. You’ll work closely with Engineering and Data partners to shape both the experience layer and the systems that support it.
