Tebra

6 open remote positions

Tebra is the only all-in-one EHR+ platform built exclusively for independent healthcare practices, connecting EHR, billing, automation, telehealth, and marketing. More than 42,000 private practices trust Tebra to streamline operations, reduce burnout, and help clinicians rediscover their purpose.

Salary Distribution 6 of 6 jobs

Benefits Overview 6 of 6 jobs

Gympass (6) Healthcare (5) Dell Discount (3) Employee Assistance Program (3) EAP (2) 401(k) (1) Dell discount (1) Dental (1) Medical (1) Mental Health (1) Mental health resources (1) Vision (1)

Open Positions

$76,500–$81,000/yr

  • Manage and retain a book of customers under $20-30k ARR, driving adoption through playbooks and proactive outreach.
  • Build strong relationships with stakeholders, identify risks using health analytics, and deliver personalized recommendations.
  • Meet or exceed quarterly ARR retention and expansion quota targets, documenting progress and managing escalations.

$282,000–$322,000/yr

  • Lead adoption of advanced AI technologies across operations to improve efficiency and accelerate product outcomes.
  • Provide leadership and strategy for automation, stability, and availability of technology infrastructure leveraging cloud and on-premise technologies.
  • Drive innovation across security, data privacy, data and development operations and infrastructure.

$200,000–$228,500/yr

  • Lead the design and execution of a comprehensive sales enablement strategy across sales and account management teams.
  • Collaborate with senior leadership and cross-functional partners to align enablement initiatives with business objectives.
  • Mentor and develop a team of enablement specialists to foster a results-driven learning culture.

Data Engineer

$128,000–$145,200/yr

  • Build, maintain, and optimize scalable data infrastructure for AI/ML features.
  • Partner with ML Engineers, Data Scientists, and Software Engineers to transform healthcare data into high-quality datasets.
  • Contribute to data pipelines, improve data quality, and ensure reliable, performant, and well-governed data for AI systems.