Tebra

Data Engineer

• Architect and write software that solves complex business problems.
• Own and serve as a Subject Matter Expert (SME) for large software systems.
• Continuously monitor data pipelines in production and implement automated recovery systems.
• Lead Engineering Design Reviews, providing well-articulated explanations for decisions.
• Write software frameworks that can be extended by others on the team.
• Translate business requirements into software solutions.
• Know when and how to optimize complex code.
• Collaborate cross-functionally including ML engineers.
• Expert at scoping tasks.

Senior Data Engineer

Machine Learning Engineer

• Build, deploy, and optimize the machine learning services that power the Tebra platform
• Write high-quality, production-grade software for data ingestion, feature extraction, and model inference
• Implement robust CI/CD pipelines, automated testing, and comprehensive logging for deployed models
• Construct and maintain specific data pipelines for training and inference
• Develop reusable software modules and utilities to streamline the development process
• Translate business requirements into technical specifications
• Monitor the daily performance of production models and debug incidents

Senior Machine Learning Engineer

Business Intelligence Developer

• Help lead the design and development of scalable, efficient, and user-friendly BI solutions
• Develop and optimize data models, data flows, and processes
• Integrate and develop AI-driven modeling into BI architectures
• Ensure the performance and scalability of BI tools
• Engage with business leaders to translate complex requirements into technical specifications
• Design, implement, and optimize complex reports and dashboards
• Work closely with data engineers to integrate data sources
• Proactively identify and resolve issues related to BI platforms
• Lead efforts to improve BI tools, processes, and standards
• Create and maintain thorough documentation for BI solutions
• Provide technical mentorship to junior team members
• Contribute to strategic planning and decision-making

Senior Business Intelligence Engineer

Implementation Specialist

• Own end-to-end onboarding experience for new customers; involves leading a series of milestone onboarding calls over a 60-day period.
• Embrace a sense of ownership over the customer’s onboarding experience and success in their first year with Tebra.
• Deliver world-class customer service; create engaging and energetic momentum with customers.
• Provide timely communication to assigned customers and internal teams; includes email, phone, and scheduling calls.
• Set proper partnership expectations regarding timeline, points of contact, how to receive help, etc.
• Gather requirements, contact information & preferences, value drivers and other preferences relevant to product mix purchased.
• Identify potential areas of risk if expectations are not aligned, escalate accordingly.
• Guide customers through relevant self-paced eLearnings; provide hands-on training as needed by the customer.
• Ensure customers are fully set up and adoption of applicable product features is completed before onboarding graduation.
• Effectively collaborate internally to leverage resources to ensure each customer’s success.
• Demonstrate exceptional problem solving and ability to navigate customer concerns.
• Be a product expert and clearly communicate the value of the Tebra product to address all customer needs.
• Adapt to evolving internal processes and contribute to continuous improvement efforts, including providing feedback and supporting onboarding workflow optimization.
• Ensure accurate and thorough documentation of all customer interactions, key milestones, requirements, and decisions throughout the onboarding lifecycle.

Operations

• Define, own, and evolve Tebra’s GTM performance metrics and reporting infrastructure.
• Serve as a strategic business partner to Sales and Marketing leadership.
• Deliver leadership-ready analyses and dashboards.
• Build and maintain scalable SQL and dbt models in Snowflake.
• Establish and document unified reporting standards.
• Mentor peers and elevate analytical rigor.

Lead Sales & Growth Operations Analyst

Customer Support

• Provide support across our full customer base via various channels, addressing complex product and technical inquiries with accuracy and efficiency.
• Maintain a positive, empathetic, and professional attitude toward customers at all times.
• Perform thorough root cause analysis for issues, identifying trends and recommending corrective actions.
• Assist users in navigating the software, managing patient accounts, and utilizing features effectively.
• Guide customers on best practices for revenue cycle management, claims submission, payment processing, collections, and denial management within our platform.
• Maintain detailed records of customer interactions, resolutions, and follow-up actions following established procedures.
• Identify, document, and escalate software bugs, system limitations, or recurring issues to product and engineering teams.
• Ensure strict adherence to HIPAA and healthcare data security regulations in all customer interactions and data handling.
• Collaborate effectively with payers (insurance companies), Clearinghouses, and internal teams (e.g., enrollments, product, engineering) to troubleshoot and resolve escalated issues.
• Collaborate with training teams to improve self-help documentation, FAQs, and user guides.
• Meet or exceed established performance metrics, including customer satisfaction, resolution time, and quality benchmarks.
• Handle a high volume of inbound calls daily, ensuring timely and accurate responses to customer inquiries.

Senior Data Engineer

Senior Machine Learning Engineer

Senior Business Intelligence Engineer

Implementation Specialist

Lead Sales & Growth Operations Analyst

Billing Support Specialist