Mosai

Attorney

• Lead the company’s legal function and day-to-day legal operations.
• Build scalable legal processes, playbooks, negotiation strategies and approval frameworks tailored to a healthcare SaaS environment.
• Own negotiation and structuring of large, complex customer, vendor, and partner agreements which can consist of custom pricing, terms and structure.
• Oversee day-to-day contract execution handled by Contract Managers, establishing clear standards, review processes and escalation paths.
• Serve as the primary interface and quarterback for outside counsel.
• Act as the internal liaison for healthcare regulatory, compliance, and related legal matters, translating external legal advice into practical business guidance.
• Provide guidance on product releases, feature design and regulatory implications for new and evolving healthcare SaaS products

VP, Legal

Systems Engineer

• BA leadership & support for key transformation initiatives with Finance/Netsuite & CRM
• Lead business process assessment & design initiatives with an emphasis on efficiency, quality & automation
• Lead business requirement and scoping for business transformation initiatives
• Support the development of business data solutions facilitating the definition of data/reporting needs to technology development team
• Create high quality deliverables that capture the business intent and facilitate implementation
• Partner with internal & external technology professionals to deliver solutions
• Help manage systems integration (SI) or implementation partners
• Support project testing efforts to create cohesion across resources and ensure a quality result
• Advise business leaders & SME’s on potential improvement opportunities
• Advise & support operational KPI’s for each department and support
• Support development of capability roadmaps for each business domain
• Support our collaborative and innovative team culture that spans the organization
• All other job-related duties as assigned.

Senior Business Systems Analyst

Data Scientist

• Design, develop, and deploy agentic AI systems using large language models (LLMs) to automate healthcare workflows
• Build and optimize OCR and document processing pipelines to extract and structure information from healthcare documents
• Design, implement, and execute the processes of data labeling, hypothesis creation & testing, experiment design and execution, accuracy measurement.
• Develop machine learning models that enable early intervention and improve patient outcomes
• Collaborate closely with ML engineers to transition models from development to production
• Architect scalable data science solutions using Python, Azure, and AWS
• Stay current with emerging AI technologies and identify opportunities to apply them to home health challenges
• Lead and mentor data scientists, fostering their technical growth and career development
• Participate in hiring processes to build and scale the data science team
• Develop your leadership skills with support from the VP of Data Science
• Establish best practices for code quality, model development, and documentation
• Facilitate knowledge sharing and collaboration across the team
• Partner with product, clinical and engineering teams to define AI product roadmap
• Communicate technical concepts and results to non-technical stakeholders
• Contribute to the overall data science strategy and vision

Manager, Data Science

Business Operations

• Technology leadership & support for key transformation initiatives with Finance/Netsuite & CRM
• "Hands on" technical leadership & support diving into details as needed to ensure success
• Creation of solution architecture / blueprint for transformation projects
• Development of systems blueprints for corporate system environment
• Technical leadership of SI’s / partners ensuring alignment with architectural direction
• Definition and support of SDLC & environments for SaaS systems development
• Participation in broader Architecture community
• Advise business leaders & SME’s on potential improvement opportunities
• Support development of capability roadmaps for each business domain
• Support our collaborative and innovative team culture that spans the organization
• Mentor, challenge, and grow your peers on the Mosai technology team
• All other job-related duties as assigned.

Business Systems Architect

Support Engineer

• Deliver an excellent, efficient, and quality support response to every client, every time
• Identify, investigate, and research user questions and challenges
• May refer to technical team members for follow-up
• Maintain an awareness of all product knowledge information and how to use internal resources
• Train users of the software and work as a team where needed to resolve an issue
• Troubleshoot client issues, including collecting details as necessary
• Escalation of issues to Team Leads and/or Engineering as necessary to resolve client issues
• Maintain a superior level of service while interpreting and validating technical issues
• Follow up and make scheduled call backs to clients where necessary
• Interact with clients to provide and process information in response to inquiries, concerns, and requests about products and services

Client Support Analyst

Full-stack Engineer

• Provide innovative and scalable solutions
• Complete all phases of software development life cycle
• Work closely with product team for user experience
• Own features/projects from design to deployment
• Contribute to system architecture and technical design discussions
• Troubleshoot and resolve complex technical issues
• Support compliance with healthcare data privacy standards
• Offer technical guidance and mentorship to junior engineers

Senior Software Engineer

Machine Learning Engineer

• Design, build, and maintain scalable data pipelines supporting model training, inference, batch processing, and real-time analytics workflows.
• Monitor production ML pipelines to identify anomalies, performance degradations, or failures related to data quality, logic defects, or infrastructure issues.
• Execute rapid troubleshooting and root-cause analysis followed by timely remediation, validation, and full regression testing prior to redeployment.
• Collaborate with Data Science, Engineering, and Product teams to operationalize machine learning models—including LLM-based and MCP-orchestrated systems—ensuring seamless integration into production environments.
• Develop CI/CD workflows, model deployment strategies, and automated testing frameworks to support reliable, repeatable releases.
• Implement and maintain observability tooling (logging, monitoring, alerting) to ensure high availability and traceability of ML systems.
• Manage and optimize cloud infrastructure across Azure and AWS for compute, storage, orchestration, and security needs.
• Create and maintain documentation, runbooks, and best practices for model operations and system maintenance.
• Perform all other job-related duties as assigned.

Machine Learning Operations Engineer

• Provide innovative and scalable solutions that better enable our clients to focus on patient care.
• Ability to complete all phases of software development life cycle including R&D, scoping, design, development, testing and support.
• Work closely with members of the product team to achieve the best user experience while writing high quality, scalable code.
• Own features/projects beginning to end from mockups and design to review and deployment.
• All other duties related to this position.