Carrum Health

Operations

• Collaborate closely with the Account Management team to efficiently implement new COE services. Support updates in the care app, Salesforce, implementation tickets, and shared drives to ensure accurate information management.
• Oversee daily provider billing tasks and collaborate with internal finance teams to ensure the timely and accurate reconciliation of accounts. You will learn to identify complex issues and escalate them to the Account Manager as needed.
• Track operational KPIs and pull data to provide actionable insights to the team, helping to continuously improve our provider relationships and processes.
• Organize and manage critical documentation in Confluence and the care app to ensure all internal stakeholders have access to accurate, up-to-date information about our provider partnerships.
• Identify small operational inefficiencies, propose solutions, and assist in implementing basic process changes to streamline workflows and enhance team productivity.
• Use the correct channels of communication to proactively ask for help, provide project updates, and collaborate with diverse internal teams to align operations with broader company goals.

Provider Operations Associate

Manager

• Own the clinical and operational roadmap for Oncology and Substance Use Disorder service lines
• Build sustainable, tech-enabled clinical programs from the ground up
• Collaborate with Product, Growth, Commercial, Client Success, and Provider Support
• Bridge the gap between clinical excellence and non-clinical operational efficiency
• Iterate service delivery models based on provider and patient feedback
• Advocate for a holistic approach to patient care

Senior Manager, Clinical Programs

Product Manager

• Prototype to Spec: Instead of writing abstract requirements, you will build functional prototypes using tools like Streamlit, LangChain, or Python notebooks to validate feasibility. You verify prompt strategies in playgrounds (OpenAI, Anthropic, Vertex AI) before engineering writes a single line of production code.
• Bridge the Technical Gap: Translate 'model constraints' (context windows, inference costs, probabilistic outputs) into concrete product mechanics. You will sit with engineers to debug edge cases, not just report them.
• Own the 'Applied' in Applied AI: Drive the transition from 'model performance' (F1 scores) to 'product performance' (user success rates). You will define what 'good enough' looks like for production.
• Wrangle Complex Data: Work hands-on with messy, real-world healthcare datasets (claims, EHR, patient-reported data). You view data quality not as someone else's problem, but as a core product asset.
• Design for Trust, Speed & Explainability: Collaborate closely with Compliance, Design, and Engineering to build UIs that help users understand AI outputs, handle probabilistic edge cases gracefully, and foster user trust in the system. You also understand the critical tradeoffs between model accuracy and speed to insight, and design with this in mind.
• Ship Responsibly: Design the guardrails, fallback mechanisms, and human-in-the-loop workflows that make AI safe and compliant in a healthcare setting.

Provider Operations Associate

Senior Manager, Clinical Programs

AI Product Manager