Job Overview
Location
Anywhere in the United States
Job Type
Full-time
Category
Software Engineering
Date Posted
May 22, 2026
Full Job Description
đź“‹ Description
- • Provide exceptional, empathetic, and timely support to clinicians via email and video calls, resolving technical, clinical, and workflow-related issues with Nabla’s AI assistant platform.
- • Manage and resolve customer support tickets in Front, addressing diverse needs including clinical quality assurance, product education, software troubleshooting, and EHR integration concerns.
- • Educate and empower clinicians through personalized tutorials and guidance to optimize their use of Nabla’s ambient listening, dictation, coding, and command features.
- • Collaborate directly with Product and Engineering teams to investigate user-reported issues, identify root causes, and translate clinician feedback into actionable product improvements.
- • Analyze and synthesize patterns in user feedback to inform product roadmap decisions, enhance customer satisfaction metrics, and improve platform usability for clinical workflows.
- • Contribute to scaling support operations by identifying inefficiencies, documenting best practices, and implementing process improvements as the user base grows beyond 100,000 clinicians.
- • Serve as a frontline advocate for clinicians, ensuring their voices directly influence product development and user experience enhancements.
- • Maintain deep familiarity with clinical documentation workflows, EHR systems (specifically NextGen and PointClickCare), and the daily challenges faced by healthcare providers.
- • Act as a bridge between clinical users and technical teams, translating complex clinical needs into clear, actionable insights for engineers and product managers.
- • Proactively identify trends in user behavior and support requests to anticipate issues before they scale, improving overall platform reliability and clinician trust.
- • Participate in cross-functional initiatives to refine onboarding materials, knowledge base content, and training resources tailored to clinician audiences.
- • Maintain a high standard of professionalism and confidentiality when handling sensitive patient care-related interactions and data.
- • Adapt quickly to evolving product features and company priorities in a fast-paced, high-growth healthcare SaaS environment.
- • Engage in continuous learning to stay current with advancements in clinical AI, healthcare technology, and digital health workflows.
🎯 Requirements
- • 4+ years in healthcare technology, customer success, or support, with at least 2 years in a customer-facing role
- • 2+ years working in a clinical or clinical documentation role (e.g., scribe, medical assistant, nurse) with strong understanding of provider workflows and EHR systems
- • Must have experience with NextGen and PointClickCare EHR systems; specialty EHRs preferred
- • Experience working in a fast-paced startup environment, ideally in healthcare SaaS
- • Proficient with tools such as Front, Google Workspace, Linear, Slack, Mixpanel, Looker, or similar systems
- • Currently authorized to work in the United States without need for employer sponsorship now or in the future
🏖️ Benefits
- • Competitive salary and stock options
- • 100% individual coverage for Medical, Dental, and Vision insurance
- • Unlimited paid time off and 11 national holidays
- • Unlimited sick leave
- • $1,500 stipend to purchase home office equipment
- • Paid parental leave
Skills & Technologies
About Nabla Bio, Inc.
Nabla Bio is a biotechnology company developing AI-driven protein design tools to accelerate drug discovery. The company combines deep learning, computational biophysics, and high-throughput experimentation to engineer antibodies and other therapeutic proteins with improved specificity, stability, and developability. Nabla's platform predicts protein structure, interactions, and mutations to reduce the time and cost required to reach clinical candidates. The company partners with pharmaceutical and biotech firms to co-develop drug candidates across oncology, immunology, and rare diseases, leveraging its generative models to expand the therapeutic potential of engineered proteins.
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