Machinify, Inc.

Technical Program Manager

• Provide software development project management + cross-functional coordination and communication to deliver outstanding products
• Understand business requirements and related context driving the software development to be able to prioritize projects and activities
• Interface with partners and customers to drive win-win outcomes
• Work closely with Software Engineers, Data Scientists, QA, and Product Managers and Customer facing teams to get high-quality products and features through the software lifecycle
• Manage project schedules and tracking ensuring cross-functional alignment and achievement of the desired outcomes
• 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.

Full-stack Engineer

• Lead Platform Engineering Initiatives: Own the technical roadmap and execution for Core Platform services which are the foundations for the business application verticals, and enabling them at scale.
• Build and Grow High-Performing Teams: Manage, mentor, and develop a team of backend engineers; conduct 1:1s, performance reviews, career development conversations, and hiring
• Drive Cross-Functional Collaboration: Partner with product engineering teams to understand their needs and evolve the platform to serve them better; act as an internal consultant and evangelist for platform adoption
• Architect Scalable Platform Solutions: Own the design and implementation middleware and services that support multiple applications; ensure platform components are composable, flexible, secure-by-default, and self-service. Participate in architecture reviews, write RFCs, and drive technical decision-making; stay hands-on with code reviews and technical guidance when needed
• Champion Engineering Excellence: Establish best practices for platform development including API design, versioning, backward compatibility, observability, and documentation; reduce cognitive load for platform consumers.
• Balance Technical Debt and Innovation: Make strategic tradeoffs between feature velocity, technical debt, and platform evolution; use data and ROI frameworks (RICE, etc.) to prioritize initiatives
• Improve Developer Experience: Measure and optimize platform adoption, API usability, and developer productivity; build tools and documentation that enable self-service
• Navigate Healthcare Complexity: Understand the unique constraints of healthcare systems including compliance, data security, multi-tenancy, and audit requirements; ensure platform solutions meet healthcare standards
• Own Operational Excellence: Ensure platform services meet SLAs for availability, performance, and reliability; Establish monitoring, alerting, and incident response processes

Senior Engineer Manager – Core Platform

• Lead end-to-end design and implementation of large-scale data mining solutions that handle real-time data as well as batch mode ingestion, modeling, and inference
• Shape long-term architectural direction, technology stack, and engineering best practices
• Identify and mitigate technical risks, ensuring scalability, availability, and reliability across the platform
• Mentor and guide engineers across teams, fostering strong engineering culture and technical excellence
• Partner with peers in product management, operations and data science to translate ambiguous business requirements into actionable technical plans
• Enjoy designing and architecting complex frameworks for applying ML techniques to large data volumes and simplifying labor-intensive processes
• Recognize and prioritize between Customer deliverables & Tech debt to develop a sustainable software suite of products

Tech Lead – Senior Staff Software Engineer

Analyst

• Lead pre and post-pay claim reviews to identify inaccurate payments using reimbursement and contract expertise.
• Analyze and interpret provider contracts to ensure payments align with negotiated terms, methodologies, and payer rules.
• Collaborate closely with engineering and data science teams to translate business and reimbursement logic into analytical and automation frameworks.
• Research and document emerging reimbursement and contract patterns, coverage rules, and billing practices to inform concept development.
• Translate complex reimbursement and contract scenarios into structured rules and business logic for implementation.
• Analyze claim-level data to pinpoint root causes of overpayments or incorrect denials and recommend corrective approaches.
• Maintain expertise on CMS and commercial payer reimbursement guidelines.
• Support quality review, concept validation, and process improvement initiatives.

Senior Analyst, Data Mining

Director

• Lead domain strategy within Product
• Define the domain vision and standards for Payment Integrity across prepay and postpay use cases, aligning clinical, coding, and policy rigor with Machinify’s product strategy and business goals.
• Help establish governance for policy/clinical accuracy, model and rule validation, and compliance-by-design; set the quality bar and go/no-go criteria for releases.
• Platform-first discovery and solutioning
• Develop deep expertise in Machinify’s platform capabilities (data ingestion/normalization, rules/decisioning, model training/evaluation, reviewer workbench, explainability/audit, X12/EDI integrations).
• Use platform capabilities to drive concept ideation and solution design, recommending configure-vs-build paths to accelerate delivery and scalability.
• Partner hands-on with Data Science
• Define ground-truth labeling guidance, sampling strategies, and evaluation metrics (precision/recall, dollar yield, false positive rate, overturn rate, provider abrasion).
• Review and critique features and model outputs; identify failure patterns and recommend model, rule, or policy adjustments.
• Maintain curated test sets and UAT plans that reflect NCCI edits (PTP/MUE), DRG/APC logic, CMS NCD/LCD, plan-specific rules, and fraud/waste/abuse patterns.
• Be the market and regulatory intelligence engine
• Monitor and synthesize CMS updates (IPPS/OPPS), NCD/LCD, NCCI, state regulations, payer policy trends, provider billing behaviors, and the vendor/competitive landscape.
• Deliver concise POVs and impact briefs; translate shifts into product opportunities, risks, and design constraints to inform PM-led prioritization and long-term bets.
• Bridge SME Operations insights into product decisions
• Aggregate and structure inputs from SME Operations, client services, and customers into prioritized problem statements and actionable requirements that improve model accuracy, reviewer efficiency, and auditability.
• Support cross-functional execution and enablement
• Participate in requirement reviews, design critiques, and readiness checks; oversee UAT to ensure features meet acceptance criteria and compliance needs.
• Conduct trainings and workshops that upskill Product, Engineering, and Data Science on domain concepts and platform implications; create clear domain documentation.
• Measure outcomes and iterate
• Define domain-level OKRs and success metrics with PM and DS (e.g., yield, accuracy, time-to-detect, overturns, provider abrasion) and drive continuous improvement through analytics and qualitative feedback.
• Provide executive-level communication, influence, and stakeholder management across Product leadership and with strategic customers and partners.

Director – New Product R&D

• Lead the development and production releases of robust web application systems and intuitive solutions for our Right Payer Solutions product lines.
• Ensure timely delivery of high-quality development efforts; monitor and adjust plans to meet objectives
• Oversee and guide development efforts leveraging C#.NET, SQL Server, Angular, and future development in Python, Rust, Ruby on Rails, Java, or Go to ensure adherence to best practices and architectural standards
• Collaborate effectively with data science and machine learning engineering teams to integrate models and analytics into production systems
• Collaborate with business stakeholders to understand operations and prioritize technology solutions
• Champion business process automation and continuous improvement
• Foster strategic relationships with senior stakeholders
• Apply retrospective insights to improve team performance and delivery velocity
• Build self-sufficient Agile teams and support individual development through targeted growth plans
• Perform code reviews from team to determine employee productivity

Senior Engineer Manager

• Contribute to both backend and frontend 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 Fullstack Engineer – Unified Platform Solutions

• Lead development of document processing pipelines capable of annually handling hundreds of millions of documents
• Collaborate across teams to deliver robust, end-to-end AI-powered systems
• Address critical infrastructure needs by tracking and reducing tech debt
• Mentor and guide engineers on best practices in designing production-grade AI systems

Senior Software Engineer – ML

Product Manager

• Work with product leadership and key stakeholders to shape future product strategy, and ensure flawless execution of the product roadmap.
• Understand the drivers of business value to the customer, challenge the status quo and propose new solutions.
• Translate customer opportunities and needs into requirements for Design, Engineering, and Data Science teams.
• Facilitate refinement discussions to drive out needed functional requirement details.
• Work closely with Design teams in detail to create impactful product interfaces and user experiences.
• Leverage product analytics and user metadata to relentlessly pursue continuous improvement initiatives.
• Drive cross-functional alignment among stakeholders, building strong partnerships and facilitating collaboration across teams.
• Bring a high level of curiosity and the ability to ask probing questions.
• Develop a deep understanding of the Machinify platform and products and estimate technical complexity of implementation.

Medical Director

• Serve as the clinical leader and executive partner to health plan clients; report to the CEO.
• Build trusted partnerships with client Medical Directors, Payment Integrity executives, and senior payer stakeholders.
• Partner with clients to validate results, demonstrate clinical credibility, and drive adoption of payment integrity solutions.
• Collaborate with sales and customer success teams to support business development and long-term partnership growth.
• Shape payer-specific payment policies for accurate enforcement in the Machinify system.
• Provide evidence-based clinical and coding rationale during client audits, appeals and escalations.
• Advise on complex reimbursement constructs across CMS, Medicaid, and commercial plans, including DRG classifications, OPPS/APC, NCCI, CPT/HCPCS, and modifier logic.
• Maintain alignment with authoritative industry standards (CMS NCCI, AMA CPT, ICD-10 guidelines, AHIMA briefs).
• Partner closely with operations, engineering, data science, product, and client services teams to ensure outputs are clinically sound.
• Mentor internal clinicians and guide clinical playbooks and escalation protocols.
• Represent the clinical perspective in product roadmap and innovation initiatives and advance clinical content innovation.
• Shape the platform to diagnose root causes and enable systemic improvements beyond identifying payment errors.

Chief Medical Officer

Engineering Manager

• Lead, mentor, and grow a high-performing team of Data Engineers, fostering technical excellence, collaboration, and career growth.
• Own the design, review, and optimization of production pipelines, ensuring high performance, reliability, and maintainability.
• Drive customer data onboarding projects, standardizing external feeds into canonical models.
• Collaborate with senior leadership to define team priorities, project roadmaps, and data standards, translating objectives into actionable assignments.
• Lead sprint planning and prioritize initiatives that improve customer metrics and product impact.
• Partner closely with Product, ML, Analytics, Engineering, and Customer teams to translate business needs into effective data solutions.
• Ensure high data quality, observability, and automated validations across all pipelines.
• Contribute hands-on when necessary to architecture, code reviews, and pipeline design.
• Identify and implement tools, templates, and best practices that improve team productivity and reduce duplication.
• Build cross-functional relationships to advocate for data-driven decision-making and solve complex business problems.
• Hire, mentor, and develop team members, fostering a culture of innovation, collaboration, and continuous improvement.
• Communicate technical concepts and strategies effectively to both technical and non-technical stakeholders.
• Measure team impact through metrics and KPIs, ensuring alignment with company goals.

Data Engineering Manager

• Lead the development and production releases of robust, observable and intuitive solutions and workflows for healthcare subrogation product lines.
• Manage a small and nimble team of developers who own the backend services for Machinify’s Subrogation product.
• Develop plans and track production features for on-time quality releases.
• Understand with data what slows your team down, and develop phased plans to reduce pain points and increase velocity.
• Own projects aligned with our product development strategy
• Influence the direction of the underlying platform to ensure it is extensible, scalable, and secure
• Measure impact through metrics
• Collaborate with team and external stakeholders such as Product Managers, Backend and Frontend Engineers, UX team, & our customers

Senior Engineering Manager, Subrogation

• Build systems that accelerate and scale the use of AI/ML innovations in Machinify’s production platforms, focusing on Payment Integrity and Audit solutions.
• Work closely with data scientists on ensuring that state-of-the art AI systems, including LLM prompt engineering, RAG, agents, and other techniques can scale flexibly in Machinify services.
• Build systems that enable high velocity and robust end-to-end data science experimentation cycles.
• Drive projects aimed at significantly reducing manual audit review times and automating complex review types. Build upon our existing cutting-edge NLP and traditional ML approaches to achieve and exceed human-caliber interpretation of both claim data and medical records.
• Deeply collaborate with Data Science, Data Engineering in order to deliver results through end-to-end solutions.
• Explore and implement advanced AI approaches like AI agents to automate workflows and support increasingly complex use cases.

Software Engineer, GenAI, ML

• Lead critical business analyses across payment operations, chart review workflows, and customer performance metrics to identify optimization opportunities.
• Design foundational data assets: build and maintain base data sets, aggregates, and pipelines for reporting and insight generation.
• Create business dashboards in partnership with engineering and product teams to provide real-time visibility into operational and financial performance.
• Run simulations and financial models using historical data to predict outcomes and quantify trade-offs of operational changes.
• Deliver ad hoc insights and execute analyses for executives and operational leaders.
• Collaborate cross-functionally: translate business problems into analytical approaches and communicate findings to technical and non-technical stakeholders.
• Hire, mentor, and manage an analytics team as the business grows.
• Drive continuous improvement: establish analytics best practices and promote data-driven decision-making.
• Report to the Chief AI Officer and work closely with business, product, and engineering leaders.

Director, Analytics and Business Optimization

Backend Engineer

• Main contributor to the expansion of our platform which is used as the foundation for web services, data services and Machinify’s AI systems
• Develop and maintain scalable and distributed systems to keep them extensible, scalable, and secure
• Design, develop, and maintain robust Scala and Java based systems
• Implement and manage distributed PostgreSQL database systems to ensure optimal performance and data integrity
• Collaborate cross-functionally with other teams that define, design, and ship new features, with the understanding of how our systems must change to support AI platform expansion for future customer-focused deliverables
• Design and implement complex frameworks for applying machine learning techniques to large data volumes
• Deliver reliable and good-performing software
• Troubleshoot and resolve software and database issues in a timely manner.
• Participate in code reviews to maintain high code quality.
• Continuously explore new technologies and integrate them into projects to improve system performance and scalability