Lead Product Manager, Machine Learning

About Us

One Medical is a primary care solution challenging the industry status quo by making quality care more affordable, accessible and enjoyable. But this isn’t your average doctor’s office. We’re on a mission to transform healthcare, which means improving the experience for everyone involved - from patients and providers to employers and health networks. Our seamless in-office and 24/7 virtual care services, on-site labs, and programs for preventive care, chronic care management, common illnesses and mental health concerns have been delighting people for the past fifteen years.

In February 2023 we marked a milestone when One Medical joined Amazon. Together, we look to deliver exceptional health care to more consumers, employers, care team members, and health networks to achieve better health outcomes. As we continue to grow and seek to impact more lives, we’re building a diverse, driven and empathetic team, while working hard to cultivate an environment where everyone can thrive.

The Opportunity

At One Medical we build most of the consumer, operational and clinical software used by our members, clinicians and admins. This unusual level of integration and ownership allows us to develop innovative products and services that are tackling some of the most difficult problems in healthcare. As Lead Product Manager within One Medical Core Tech you will support an innovative team of engineers and key stakeholders to build the software that facilitates world class care for our customers at scale. In our highly collaborative environment, you’ll be sitting shoulder to shoulder with the providers, nurses, phlebotomists and admins who deliver care daily to One Medical patients. You will also partner with teams across Amazon Health Services to expand the value we deliver to our customers.

You’ll be expert at managing complexity, able to solve challenging problems despite constraints like competing stakeholder needs. As an exceptional planner, you’ll be able to break complex projects into independently valuable parts and develop clear, comprehensive documentation. As a mission-driven challenge-lover, you’ll thrive on complex problems with a strong human dimension. You will deploy your experience working with Machine Learning and GenAI technology to develop creative solutions in pursuit of helping people.

Most of all, you want to apply your considerable skills and experience to a cause that you care about while working with a talented and fun team. 

What You'll Work On 

You’ll be working with designers, engineers, and clinical/operational stakeholders to design and build tools that enable One Medical to deliver world-class primary care. You'll be joining a team which works on our innovative and proprietary Electronic Health Records system, working on projects like:

• Partnering w/ teams supporting clinicians and other caregivers to design and build innovative features that streamline the capture and visualization of clinical data. 
• Operating as a subject matter expert and consultant to evaluate product opportunities for Machine Learning and Gen AI applications.
• Maintaining a pulse on industry leading trends regarding model evaluation, safety and security best practices, and performance measurability. 
• Facilitating Machine Learning strategies and partnerships across teams within Amazon Health Services. 
• Evangelizing, educating, and contextualizing Machine Learning and Gen AI for product development teams. 

You’ll Need 

• 6+ years working as a Product Manager on a high-performing team combined with 10+ years overall experience working in an agile environment at a technology driven organization.
• 2+ years experience building clinical or operational healthcare software
• 2+ years experience ML/AI/GenAI
• Successful track record of developing and shipping complex, high quality products
• Strong strategic roadmapping skills, including demonstrated ability to craft a clear product vision that balances needs of diverse stakeholders and to clearly communicate out that vision
• Experience performing user research and effectively advocating for user’s needs
• Demonstrated skill at guiding design/development teams through scoping decisions 
• Ability to demonstrate strong product sense and intuition, landing on thoughtful problem hypotheses and being able to lead his/her teams to the best solutions
• Ability to use analytics and user research to drive feature and roadmap strategy 

Not required, but would be great if you had

• Expertise in a healthcare delivery environment, ideally building clinical or operational healthcare software 
• Developing and documenting product requirements in a highly regulated environment with complex s