AcuityMD is a software and data platform that accelerates access to medical technologies. We're a high-growth SaaS company scaling rapidly, backed by world-class investors across Enterprise SaaS and Medical Devices.
Requirements
- 10+ years of professional experience in data engineering, data platforms, or closely related software engineering roles, including significant technical leadership experience.
- Deep experience with our stack: Python and SQL on GCP, with heavy BigQuery usage, plus tools like dbt, Dagster, Docker, and Kubernetes.
- Experience building data platforms that directly power customer-facing products and AI or agentic workflows.
- Strong opinions about modern data architectures, analytics engineering, and the evolving role of data teams, backed by deep experience, that you’re constantly seeking to invalidate and refine.
- You’ve earned real scars from pipelines breaking, data being wrong, or systems buckling under scale—and you’ve used those lessons to build calmer, more resilient platforms.
Benefits
- Ground floor opportunity: Join a high-growth startup, backed by world-class investors across Enterprise SaaS and Medical Devices (Benchmark, Redpoint Ventures, and Ajax Health).
- Learning Budget: Reimbursements for relevant learning and up-skilling opportunities.
- Remote work: AcuityMD is committed to supporting full-remote flexibility for employees in the US. We provide a work-from-home stipend for all employees.
- Flexible PTO: Generous time off and flexible hours give you the freedom to do your best work.
- Paid Health, Dental, and Vision Plans: We offer 100% paid health, dental, and vision plans for all employees and 75% paid for our employees' dependents.
- Home Office Stipend: $1,000 to invest in remote office equipment and WiFi reimbursement.
- Optional Team Retreats: We meet in-person multiple times per year for co-working and social gatherings.
- Parental Leave: 6-12 weeks of fully-paid, flexible parental leave.
