Machinify, Inc.

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

Full-stack Engineer

• 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

Director

• 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