Machinify

QA Engineer

• Provide support to the departmental quality assurance program
• Perform quality reviews work assignment tasks related to specific departmental workflows
• Use available tools to gather data and analyze trends or patterns affecting quality; highlight key successes and share best practices with staff
• Identify areas of improvements and collaborate with departmental leadership team members to streamline processes
• Provide structured and timely recommendations through verbal and/or written feedback to leadership team
• Provide direct individual coaching/feedback to team members using specific examples highlighting performance strengths as well as areas of improvement needed
• Develop and conduct targeted group coaching sessions that address quality deficiencies and/or improvement opportunities
• Assist with creation of training materials and related duties as assigned
• Assess new hires after training to determine readiness for moving into support
• Observe and comply with all company and mandated rules, regulations, and protocols
• Select a quality sample for assigned staff members; conduct timely QA reviews
• Run QA reports summarizing results of QA conducted by staff members, team and department
• Follow Quality standard operating procedures
• Perform other duties as assigned

Healthcare Quality Assurance Specialist – SCA

Operations

• Supervise daily activities of QA specialists across multiple operational areas
• Ensure consistent execution of QA audits, scorecards, and monitoring processes
• Review completed audits for accuracy and consistency
• Conduct calibration sessions to ensure scoring alignment
• Provide coaching, feedback, and performance management
• Monitor QA productivity and turnaround times
• Identify trends and support corrective actions
• Ensure compliance with HIPAA, CMS, and internal policies
• Escalation management and issue resolution
• Support for training initiatives and documentation maintenance
• KPI monitoring and operational reporting support
• Partnership with operational leadership teams across departments

Operations Quality Supervisor

Software Engineer

• Lead and grow the AI/ML Engineering team, while coordinating execution across contributors including data scientists on collaborative projects.
• Design, deliver and operate the core AI/ML platform: agent frameworks, evaluation harnesses, labeling systems, document processing systems, semantic search, knowledge bases, model hosting, and more.
• Run AI/ML systems at scale in production with reliability, observability, performance, and incident response. Build a culture of operational excellence.
• Create processes to ensure proof-of-concept code from Data Science can be designed as production-grade services.
• Partner with the Chief AI Officer and Product Manager to build forward-looking product strategy. Drive structured thinking in ambiguity.
• Run tight, streamlined stand-ups across engineering and data science. Do capacity planning for driving predictability and velocity around delivery.
• Provide leadership in ensuring the cross-functional team can utilize AI technologies to accelerate team excellence in coding, PR reviews, testing, observability and incident response. Keep up with the latest developments in LLM/agent advances and modern AI/ML infrastructure.

Senior Director, Engineering – ML

Customer Success Manager

• Ensure the Machinify team delivers value to our clients through efficient operational processes, enhanced reporting, comprehensive user training, and exceptional support strategies
• Help create and drive execution on client strategy including intentional relationship building and supporting growth expansion initiatives
• Identify actionable insights from healthcare claims data and results
• Project financial results and company revenue based on KPI data and business dynamics
• Review all client-facing reporting for accuracy, including reports on:
• Impacts of policy customizations or modifications
• Comparing actual results to expected or projected results
• Trends by product, line of business, policy, providers, etc.
• Develop a deep understanding of the assigned client’s organizational structure, business objectives, and areas of opportunity and translate that understanding into a unique value proposition that Machinify can deliver measurable results against
• Generate materials and reporting that can be leveraged to deliver insights to the customer and demonstrate how the program is performing against key success metrics
• Document and create organizational visibility to key internal stakeholders on:
• Insights including outstanding roadmap opportunities, areas of risk, and key client activities and expectations
• Progress of weekly/monthly/quarterly initiatives
• Key account metrics (e.g., relationship status, progress to goals, roadmap, etc.)
• Work with leadership to communicate and message actionable findings to support client understanding of the data
• Become an expert on company platform(s) to support client workflow, delivery, and user onboarding and training
• Introduce new functionality, solutions, or capabilities and receive product feedback for formal communication internally to our Product team
• Support client contracting efforts and SLA management
• Monitor solution performance and deliver quantifiable and qualitative insights to customers via regular meetings, quarterly business reviews, etc.
• Act as a key contact for client inquiries, client support, and all key client deliverables
• Occasional travel requirements up to 25% of the year to meet client needs

Client Success Leader

Analyst

• Examine, interpret, and visualize trends in medical data to generate actionable insights that support new business processes and refine existing ones.
• Execute, maintain, and monitor SQL queries efficiently to meet business objectives.
• Create and maintain detailed reports that combine narrative and visual elements to effectively communicate results to diverse audiences.
• Continuously evaluate and enhance data mining and enrichment processes, developing tools and programs to identify new opportunities.
• Lead and manage small data projects, ensuring timely and successful delivery.
• Work closely with other departments to align data insights with organizational goals.
• Build custom reporting queries for Business Operations.

Data Mining Analyst II

Customer Support

• Answer inbound ACD call line and provide prompt, professional customer service to members and insurance companies.
• Create new claim files with accurate and complete information.
• Regularly accesses client systems to gather information used to create inventory.
• Uses multiple computer systems to review claim data and work efficiently.
• Will be available to 9a - 6p, 10a -7p and 11am - 8pm EST times.

Subrogation Customer Support Specialist

Technical Program Manager

• Provide software development project management + cross-functional coordination and communication to deliver outstanding products.
• Manage and track engineering project delivery schedules and ensure they align with cross-functional upstream and downstream dependencies (Data Science, Data Engineering, DevOps, PM, etc) and correlate to end-to-end delivery commitments.
• Identify gaps and clearly communicate them to project stakeholders, follow-through until resolution.
• Take responsibility for release schedules and milestones, keeping up a high velocity in a fast-paced environment.
• Drive effective and consistent processes in engineering organization, working with engineering leadership.

Data Scientist

• Solve real business problems with data: Own end-to-end data science work, from problem framing and data exploration to modeling, validation, and production impact.
• Lead high-impact initiatives: Drive complex efforts such as vendor leakage detection and prevention, delivering measurable revenue or cost improvements.
• Innovate on methods and approaches: Go beyond standard analyses by developing new metrics, models, or workflows when existing approaches fall short.
• Build and productionize models: Design, build, and support production ML or LLM-powered solutions in collaboration with engineering and product partners.
• Work deeply with data: Use SQL fluently to explore large datasets, build reliable data assets, and validate results.
• Influence cross-functionally: Partner with Product, Engineering, Finance, and Operations to align on goals, tradeoffs, and execution plans.
• Set technical direction (especially at L7): Raise the bar for data science quality, scalability, and impact across the organization through mentorship, design reviews, and technical leadership.

Staff Data Scientist – ML

AI Engineer

• Design agent systems from first principles. Decide the loop, the tools, the context strategy, the evaluation harness. Choose between single-agent and multi-agent topologies, between LLM reasoning and deterministic post-passes, between retrieval and direct context loading — and defend the choice with data.
• Engineer the context. The hardest part of building a good agent is what goes into the prompt and what comes out. You'll obsess over context windows, tool surfaces, structured outputs, citation grounding, and the prompt itself.
• Drive evaluation rigor. Build evals before you build the agent. Diagnose where it fails, fix the root cause, and prove the fix moved the metric.
• Use AI tooling like a power user. A meaningful fraction of your day will be spent driving Claude Code, Codex, and similar tools to plan, scaffold, refactor, and debug your own work. We expect you to be faster with these tools than most engineers are without them.
• Become a domain expert. Healthcare claims, coding guidelines, and the medical record itself are unavoidable parts of the job. Strong engineers who lean into the domain become outsized contributors here.

Staff AI Engineer

• Review and audit the work of new and existing DRG Reviewers to ensure accuracy, compliance, and alignment with established coding and clinical validation guidelines.
• Provide constructive, detailed feedback to DRG Reviewers, highlighting areas for improvement and recognizing high-performance results
• Collaborate with management to promote continuous improvement in audit accuracy, workflow efficiency, and reviewer performance
• Assist the educator by conducting supplemental training sessions for new hires on DRG methodologies, clinical validation, and proprietary tools
• Provide ongoing training to existing staff, focusing on policy updates, skill development, and performance enhancement
• Maintain comprehensive documentation of audit findings, feedback sessions, and training activities
• Generate reports on the quality assurance results and the effectiveness of training sessions for review by management
• Work closely with team leaders and the educator to ensure the training and QA processes align with the company’s standards and objectives
• Serve as an expert resource for DRG Reviewers and other staff members, answering questions and offering guidance on complex cases or procedures

DRG QA Trainer

• Responsible for overall management and service delivery of assigned customers and projects, including customer satisfaction and financial results.
• Manage full range of project life cycle (Initiate, Plan, Execute, Close).
• Build relational network within assigned accounts
• Leads cross functional client-related projects across various departments
• May mentor and train other Client Success Managers and team members
• Leverage relational network within assigned accounts to identify opportunities to expand Performant’s services footprint
• Partner with sales executives to scope opportunity and develop sales discussions with the clients
• Supports building definition of offerings for potential accounts as well as assigned account base
• Shared responsibility for account financial targets
• Monitors forecasting and growth plans for assigned accounts
• Identifies opportunities for increased efficiencies to processes, systems and tools used in delivering client services
• Understands customer needs and appropriately manages customer expectations
• Handles escalated problem solving and issue resolution
• Has accountability for resolution of complex or escalated billing issues
• Monitor overall account health and client satisfaction
• Direct and supervise work of one or more Client Success Managers and/or Delivery Specialists
• Sets clear expectations aligned with company and account strategy.

Director, Client Success

Full-stack Engineer

• Contribute to new product development of complex in-browser applications, taking advantage of your holistic view to ensure our application is extensible, scalable, and secure
• Balance customer-facing features and technical debt cleanup to keep the software suite sustainable
• Architect and implement complex applications that apply ML techniques to large volumes of data, simplifying labor-intensive processes through good user experience
• Design systems that work together to deliver a good-performing, reliable application

Senior Software Engineer, Fullstack

• Monitor client inventory in Machinfy and client systems.
• Perform requirements gathering to problem solve for client issues arising in Operations’ day-to-day activities and implement appropriate processes to monitor resolution by utilizing the Client Action Log and Jira ticketing system.
• Enter, track, and follow up on tickets to ensure timely resolution for client production issues.
• Support internal Operations teams through regularly scheduled team meetings to determine appropriate process is handling changing needs including rule changes, process flow modifications, escalations.
• Support the client invoicing and/or reconciliation processes.
• Generate and transmit client reporting as required.
• Communicate and discuss larger issues with IT and Operations teams, continuing to act as liaison between teams until issues fully resolved.
• Attend external working client meetings with leadership teams and communicate pertinent information to appropriate internal teams, acting as a support system to client teams.
• Set up new users for clients in Machinify’s systems.
• Maintain system access requirements for client systems to perform inventory management work as necessary.
• Perform QA and UAT efforts as necessary.
• Other duties as assigned.

Client Delivery Analyst

People Operations

• Workday implementation — HR workstream lead
• Process mapping, automation, and AI enablement
• Making the MFY framework stick
• People technology ownership
• Service delivery, onboarding, and integration

VP, People Operations

• Own the architecture of Machinify's intelligent document processing platform and agentic evaluation framework — from API design to implementation
• Design abstractions and interfaces that enable agentic workflows to reason over medical records, claims data, and unstructured healthcare documents
• Define the boundaries between orchestration, retrieval, LLM interaction, and domain logic — creating a framework that is principled yet pragmatic. Ensure the system scales.
• Write performant production code — this is a hands-on role where you lead through implementation, not solely through design documents.
• Make foundational technology decisions around prompt architecture, multi-modal LLM integration, RAG patterns, and workflow orchestration
• Drive reliability and observability into AI systems that must operate at healthcare-grade standards
• Collaborate closely with Data Science, Data Engineering, and Product teams to translate complex domain requirements into clean system design
• Reduce technical debt and establish architectural patterns that scale with the platform
• Mentor engineers on system design, API design, and building production-grade AI systems