Principal Engineer

Making family care possible. At Abby Care, we are tackling one of the most important and unsolved challenges of our time: family caregiving.

Over 50 million Americans are family caregivers for loved ones without pay, tools, or support. Our mission is clear and ambitious: to train and employ family caregivers so they can get paid for the care they already provide at home.

Abby Care is building a tech-powered, family-first care platform to efficiently deliver care, improve health outcomes, and provide the best-in-class experience nationwide.

We are rapidly expanding our mission and looking for passionate team members to join. Abby Care has partnered with leading insurance plans, healthcare providers, and community organizations. We’re supported by top, mission-driven VCs to empower families throughout the country.

At Abby Care our work is at the true intersection of technology and healthcare delivery, and we’re intentionally building AI-powered technology that impacts how our caregivers deliver care, and how our teams support that care on the back end. We have a team of skilled, mission-driven technologists across Engineering, Product, Design and Data who are driving this work, owning our product end to end - from concept to execution, to iteration.

We’re looking for a Principal Engineer to define and lead the technical direction of Abby Care’s platform. You will report to the VP, Head of Engineering. This is a full-time opportunity based in San Francisco, CA (4 days in-person).

This is a company-level technical leadership role. You will identify the highest-leverage problems, define the architecture and roadmap to solve them, and drive execution across teams. Your work will directly shape how Abby Care scales its platform, delivers care, and applies AI to real-world workflows.

You will operate as a builder-leader, setting direction, mentoring the team, and going deep on critical technical challenges when needed. If the opportunity to have true impact at scale in an organization with an established product/market fit is exciting, in an environment where we encourage you to push the boundaries of what is possible with AI, we’d love to hear from you!

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• Experience building foundational platforms (e.g., systems of record, workflow engines, data platforms)

• Experience working with or building AI/ML-powered systems in production

• Familiarity with knowledge representation systems (e.g., knowledge graphs, ontologies)

• Experience in healthcare or other regulated, operations-heavy environments

• Experience in zero-to-one or early scaling environments