Medallion

Solutions Engineer

• Partner closely with our sales, products, and operations teams to drive Medallion’s growth through solution design, strategic positioning, and compelling presentation of Medallion’s products and services
• Lead the discovery phase to identify prospect pain points, technical needs, and align our products and services to their business objectives
• Design and deliver compelling demos and business cases, establishing yourself as trusted advisor and industry thought leader
• Align and coordinate solution design activities across internal stakeholders
• Provide advanced training to our Sales teams on best practices pertaining to Medallion’s platform and solution offerings
• Gather, synthesize, and socialize insights from prospective customers to influence roadmaps and drive continuous innovation of Medallion’s product lines

Solutions Consultant

Machine Learning Engineer

• Design, develop, and optimize AI systems including ML pipelines, document understanding models, and LLM-powered workflows to automate complex credentialing and provider verification processes
• Identify high-leverage opportunities and deliver intelligent, scalable solutions that reduce administrative burden across the healthcare system
• Work with full autonomy, affect the company roadmap, and ship features that make a meaningful impact
• Scope and lead ML initiatives end-to-end from identifying opportunities and defining the problem through production deployment and iteration
• Build and maintain production ML pipelines that are robust, observable, and scalable
• Integrate and fine-tune third-party AI services (OpenAI, Amazon Textract, cloud ML APIs), managing cost, latency, and quality tradeoffs
• Analyze datasets to uncover patterns, validate model performance, and generate actionable insights
• Drive architectural decisions for ML systems and establish best practices for development, evaluation, and deployment
• Teach and mentor members of the engineering team

Staff Machine Learning Engineer

Business Analyst

• Define and maintain key business and operational metrics across teams to measure performance, identify trends, and support strategic decision making
• Partner closely with department leads to understand team goals, success metrics, and operational pain points
• Attend cross-functional team meetings to identify opportunities where analytics can improve workflows, decision making, and overall operational efficiency
• Collaborate on product updates, workflow improvements, and process changes to ensure the appropriate analytics and reporting infrastructure are in place
• Write SQL queries, build data models, and analyze large datasets to surface actionable insights
• Design, build, and maintain automated dashboards and recurring reporting for leadership and functional teams
• Create ad hoc reports, analyses, and presentations to support business reviews, planning, and strategic initiatives
• Help lay the foundation for a scalable data and analytics function by improving data quality, reporting consistency, and metric definitions across the organization
• Influence internal product enhancements and operational process changes needed to capture more accurate, relevant, and actionable raw data
• Empower teams to self-serve analytics by creating scalable reporting tools, documentation, and dashboarding resources
• Drive business outcomes through a combination of short-term analytical support and longer-term process, tooling, and systems improvements
• Support high-priority business operations initiatives and special projects across the organization as needed