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Clipboard Health is a Y Combinator-backed, profitable marketplace (founded 2016, 1000+ employees) connecting healthcare professionals with facilities across long-term care, home health, hospitals, and beyond. The company is remote-first and has been profitable since 2022.
You will join as Strategy & Ops Lead for Applied AI, owning and evolving the internal tooling ecosystem across Operations. This is a hands-on individual contributor role with real ownership, sitting at the intersection of Operations and Engineering. You'll act as the technical voice of Ops, partnering closely with leadership to execute against defined priorities, refine existing systems, and introduce new tooling to scale effectively with the business.
Key responsibilities include:
- Building and iterating on workflows, integrations, and automations that improve day-to-day operational efficiency
- Executing against high-priority tooling and automation initiatives across the operational stack
- Partnering with engineers and developers to scope requirements, write technical specs, and prioritize tooling work
- Improving systems across multiple tools, including support platforms and AI-driven solutions
- Translating defined problems into practical, well-scoped technical solutions
- Identifying gaps or inefficiencies in current tooling and proactively addressing them
- Troubleshooting issues, improving system reliability, and ensuring tools perform effectively in production
- Contributing to ongoing improvements in how systems connect and operate together
You bring technical fluency with APIs, integrations, and automation tooling; execution discipline to drive problems through to completion while managing multiple priorities; systems thinking to understand how tools, workflows, and dependencies connect; strong problem-solving skills to translate loosely defined problems into practical solutions; and an ownership mindset focused on delivering high-quality work and improving the team's day-to-day operations.
Nice-to-have qualifications include experience with support platforms such as Zendesk, familiarity with AI-driven tools and automation workflows, background in Ops, Support, or CX environments, and experience working with evolving or fragmented tooling stacks.
