Machinify

Design and implement intelligent document processing and agentic evaluation frameworks with hands-on technical leadership. | 10+ years in software engineering with strong Python, Scala, or Java skills and experience in AI/ML system production and large-scale distributed systems. | Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country. Deployed by over 85 health plans, including many of the top 20, and representing more than 270 million lives, Machinify brings together a fully configurable and content-rich, AI-powered platform along with best-in-class expertise. We’re constantly reimagining what’s possible in our industry, creating disruptively simple, powerfully clear ways to maximize financial outcomes and drive down healthcare costs. JD for Software Architect: Software Architect | Intelligent Document Processing & Agentic Systems Location: Remote - US About Machinify Machinify is a healthcare intelligence platform deployed across 85+ health plans, serving over 270 million lives. We build AI-powered systems for payment integrity and audit solutions that optimize financial outcomes and reduce healthcare costs — processing hundreds of millions of documents and validating millions of claims annually. The Role We are seeking a Software Architect to own the design and implementation of our intelligent document processing and agentic evaluation framework. This is a hands-on, Senior Staff-level technical leadership role responsible for setting the architectural direction for how our platform ingests, understands, and reasons over complex healthcare documents at scale. This role requires both architectural vision and strong implementation skills. You will design the APIs, abstractions, and frameworks that power agentic case analysis — and build them alongside a team of experienced engineers. The ideal candidate brings deep expertise in system design, has strong convictions about where abstraction boundaries belong, and writes Python that sets the standard for the team. What You'll Do 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 What We're Looking For 10+ years of software engineering experience with a proven track record of owning system architecture at scale Experience with Python & Scala/Java — deep experience designing Python-based frameworks and writing idiomatic, well-structured APIs in Python and Scala/Java. Demonstrated ability to design effective abstractions: knowing when to generalize, when to keep things concrete, and where to draw boundaries in complex systems Experience architecting agentic or multi-step reasoning systems that integrate LLMs into production workflows — framework-agnostic design thinking is valued over familiarity with any specific tool Strong background in designing large-scale systems that process unstructured data such as documents, medical records, and images Deep understanding of API design principles and building platforms that other engineers build upon Proven ability to productionize AI/ML systems with a focus on reliability, observability, and maintainability Strong experience with designing with system performance and scaling trade-offs in mind Strong CS fundamentals — data structures, distributed systems, asynchronous programming Bachelor's or Master's degree in Computer Science, or equivalent experience Nice to Have Experience with Spark, Flink, Kafka, Airflow, or Ray Knowledge of Prometheus, Grafana, and observability tooling Background in healthcare, fintech, or other regulated industries Cross-functional collaboration experience with data scientists and ML engineers What We Offer Work from anywhere in the US! Machinify is digital-first. Top Medical/Dental/Vision offerings FSA/HSA Tuition reimbursement Competitive salary, 401(k) with company match Unlimited PTO Additional health and wellness benefits and perks Flexible and trusting environment where you’ll feel empowered to do your best work The salary for this position is based on an array of factors unique to each candidate: Such as years and depth of experience, set skills, certifications, etc. We are hiring for different levels and the base salary can range from $230k-$280k+ based on your assessed level. Compensation also includes meaningful equity, healthcare, unlimited PTO, and more. Equal Employment Opportunity at Machinify We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace. Machinify is an employment at will employer. We participate in E-Verify as required by applicable law. In accordance with applicable state laws, we do not inquire about salary history during the recruitment process. If you require a reasonable accommodation to complete any part of the application or recruitment process, please let our recruiters know. See our Candidate Privacy Notice at: https://www.machinify.com/candidate-privacy-notice/

Manage client delivery processes, support client and internal teams, handle requirements gathering, issue tracking, and reporting within healthcare payment solutions. | 2+ years experience in data production, business and technical requirements analysis, client/project management, preferably with health industry knowledge. | Job Details Level Experienced Job Location California Office - Roseville, CA Remote Type Fully Remote Position Type Full Time Salary Range $70000.00 - $90000.00 Salary/year Job Shift Day Job Category Customer Service Client Delivery Analyst Who We Are Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country. Deployed by over 60 health plans, including many of the top 20, and representing more than 160 million lives, Machinify brings together a fully configurable and content-rich, AI-powered platform along with best-in-class expertise. We're constantly reimagining what's possible in our industry, creating disruptively simple, powerfully clear ways to maximize financial outcomes and drive down healthcare costs. Location: This role is full remote About the Opportunity At Machinify, we're constantly reimagining what's possible in our industry-creating disruptively simple, powerfully clear ways to maximize our clients' financial outcomes today and drive down healthcare costs tomorrow. As part of the Customer Success Team, you will, as a Client Delivery Analyst, be responsible for facilitating the work product between Machinify and our clients across Complex Payment Solutions. This person will understand internal and client processes, handle internal and external client requirements gathering, analysis, solution documentation, integration and delivery validation. This person will recommend best practice solutions and processes, prepare documentation, monitor inventory, and support workflow and process management for clients as well as colleagues across the Machinify Platforms. What you'll do • Monitor client inventory in Machinify 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. What experience you bring (Role Requirements) • 2+ years' experience in data production preferred; and health industry knowledge and experience a strong plus. • Proven experience with business and technical requirements analysis, elicitation, modeling, verification, and methodology development • Experience managing multiple clients/projects in a team environment • Experience independently structuring and executing complex analyses What will make you stand out • Health Plan experience • Payment Integrity experience • If you have worked operationally in a health plan over a provider • PMP certification What Success Looks Like... After 3 months You will have a strong understanding of the role. You begin building relationships and collaborating with peers. You develop effective time and priorities management. You receive initial feedback about your performance and are using it to improve. You've gained confidence in your abilities and are starting to feel more comfortable in your role. After 1 year You have mastered the tasks and responsibilities of the position, executing them with confidence and efficiency. You have established a strong network of internal relationships and are recognized as a key collaborator. You've been entrusted with greater responsibility indicating the company's confidence in your abilities. You see opportunities for career progression and personal development. Pay range: $70,000-$90,000 USD; role is eligible for Annual Performance Bonus This is an exempt position. The salary range is for Base Salary. Compensation will be determined based on several factors including, but not limited to, skill set, years of experience, and the employee's geographic location. What's in it for you • PTO, Paid Holidays, and Volunteer Days • Eligibility for health, vision and dental coverage, 401(k) plan participation with company match, and flexible spending accounts • Tuition Reimbursement • Eligibility for company-paid benefits including life insurance, short-term disability, and parental leave. • Remote and hybrid work options What values we'll share with you • Ask why • Think big • Be humble • Optimize for customer impact • Deliver results At Machinify, we're reimagining a simpler way forward. This begins with our employees. We are innovators who value integrity, teamwork, accuracy, and flexibility. We do the right thing, and we listen to the needs of our clients and their members. As tenured experts with unmatched experience, we champion diverse perspectives that help us to better understand and serve our clients. Our values come to life through our culture. We embrace flexible working arrangements that allow our employees to bring innovation to life in the way that best suits their productivity. We work cross-functionally, abandoning silos, to bring innovative and accurate solutions to market. We invest in each other through ongoing education and team celebrations, and we give back to our communities through dedicating days for volunteering. Together, Machinify is making healthcare work better for everyone, and we're passionate about a future with better outcomes for all. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace. Machinify is an employment at will employer. We participate in E-Verify as required by applicable law. In accordance with applicable state laws, we do not inquire about salary history during the recruitment process. If you require a reasonable accommodation to complete any part of the application or recruitment process, please contact our People Operations team at address Machinify_Careers@machinify.com. See our Candidate Privacy Notice at: https://www.machinify.com/candidate-privacy-notice/ #LI-VPM #INDHP

Translate customer needs into product requirements, collaborate with design and engineering teams, drive product strategy and roadmap execution, and continuously improve product based on analytics. | Extensive product management experience in complex software products, ideally with AI/ML, strong UX partnership skills, ability to manage trade-offs, and excellent communication and leadership. | Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country. Deployed by over 60 health plans, including many of the top 20, and representing more than 160 million lives, Machinify brings together a fully configurable and content-rich, AI-powered platform along with best-in-class expertise. We’re constantly reimagining what’s possible in our industry, creating disruptively simple, powerfully clear ways to maximize financial outcomes and drive down healthcare costs. Machinify is seeking a Product Manager to help us translate the voice of the customer and our product strategy into product requirements. What you’ll do: 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 our 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 the ability to estimate technical complexity of implementation. What you bring Extensive Product Management experience in a high-tech org delivering complex software products, ideally within AI/ML, or data-driven domains. Strong ability to manage trade-offs between short-term wins and long-term strategy, with a track record of driving both. Experience working directly with operations or domain-expert teams to ensure product-market fit and operational viability. Strong background in partnering with Design teams and applying UX best practices. Demonstrated success in leading software delivery, either as a Product Manager or Engineer, with deep technical curiosity. Initiative and ownership—you drive projects from vision to prototype to design to execution. Excellent communication, facilitation, and decision-making skills, with the ability to build trust-based relationships across teams. High curiosity and the ability to ask the right questions to challenge assumptions and uncover opportunities. Equal Employment Opportunity at Machinify Machinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. Machinify believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace. See our Candidate Privacy Notice at: https://www.machinify.com/candidate-privacy-notice/

Lead the development and production releases of solutions for healthcare subrogation product lines. Manage a team of developers and ensure timely quality releases while collaborating with various stakeholders. | Candidates should have over 8 years of experience in production application development and at least 3 years in technical leadership. Experience with backend services, API development, and collaboration with data science teams is essential. | Machinify is the leading provider of AI-powered software products that transform healthcare claims and payment operations. Each year, the healthcare industry generates over $200B in claims mispayments, creating incredible waste, friction and frustration for all participants: patients, providers, and especially payers. Machinify’s revolutionary AI-platform has enabled the company to develop and deploy, at light speed, industry-specific products that increase the speed and accuracy of claims processing by orders of magnitude. We’re seeking a hands-on, technically deep Senior Engineer Manager to lead our Subrogation Product team! Our subrogation team develops end-to-end AI system services to automate and bring efficiency into the healthcare subrogation and COB process. The ideal candidate has a range of skills across backend services and tools, technical leadership and people leadership. You get excited by developing performant platforms and web applications for delivering customer impact. You challenge the team on using tools that scale velocity, including influencing automating testing and AI code generation. Our engineering team features software developers and data engineers who enjoy being at the cutting edge. They are responsible for writing code that has a significant impact on our customers and future product lines. Our teams are collaborative, high-performing, curious, aligned to our product goals, and have a strong impact on the success of the business. We build high-performance ML and AI products that are transforming the landscape of healthcare! Does this sound like the right opportunity to explore?... Lets connect! What You’ll Do: 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 What You'll Bring: 3+ years of combined technical leadership and engineering management experience 8+ years of production application development, backend services experience, and developing API's/micro-services at scale. Experience hiring, growing careers and managing performance for engineering teams and leads Experience working along side data science or ML engineering teams Experience leading cross functionally with product managers, other engineering teams, UI team, and customer account representatives. Strong orientation towards building and utilizing lightweight mechanisms, including running retrospectives, operations reviews, and backlog scrubs. Proficiency in one or more backend languages (Python, Rust, Rails, Java, Go) BS or MS in Computer science (or equivalent experience) Bonus points for experience thoughtfully integrating AI into user experiences or workflows Comfortable with ambiguity and taking the initiative Excitement to make an impact in rewiring US healthcare! What We Offer: Work from anywhere in the US! Machinify is digital-first. Flexible and trusting environment where you’ll feel empowered to do your best work Unlimited PTO Full Medical/Dental/Vision for employees & their families w/ 100% premium coverage options! Competitive salary, equity, 401(k) sponsorship Learning and Development reimbursement policy The salary for this position is based on an array of factors unique to each candidate: Such as years and depth of experience, set skills, certifications, etc. The base salary range is 245k +/- . We are hiring for different levels, and our Recruiting team will let you know if you qualify for a different role/range. Salary is one component of the total compensation package, which includes meaningful equity, excellent healthcare, flexible time off, and other benefits and perks. Equal Employment Opportunity at Machinify Machinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. Machinify believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace. See our Candidate Privacy Notice at: https://www.machinify.com/candidate-privacy-notice/

Lead analytics function design and execution, perform business analyses, build data assets and dashboards, run financial models, deliver insights, and scale analytics team. | 10+ years analytics or BI experience with 5+ years leadership, technical proficiency in SQL and Python, strong financial modeling, and ability to communicate complex findings. | Machinify is the leading provider of AI-powered software products that transform healthcare claims and payment operations. Each year, the healthcare industry generates over $200B in claims mispayments, creating incredible waste, friction and frustration for all participants: patients, providers, and especially payers. Machinify’s revolutionary AI-platform has enabled the company to develop and deploy, at light speed, industry-specific products that increase the speed and accuracy of claims processing by orders of magnitude. About The Job Machinify is the leading provider of AI-powered software products that transform healthcare claims and payment operations. Each year, the healthcare industry generates over $200B in claims mispayments, creating incredible waste, friction, and frustration for all participants: patients, providers, and especially payers. Machinify’s revolutionary AI platform has enabled the company to develop and deploy, at light speed, industry-specific products that increase the speed and accuracy of claims processing by orders of magnitude. We are seeking a Director of Analytics and Business Optimization. This role will be responsible for leading the design, execution, and scaling of the analytics function at Machinify. The initial focus will be on personally driving high-impact analyses that inform business optimization;and over time, building and leading a high-performing analytics team. This role requires a strong analytical background, deep business acumen, and the ability to translate data into actionable insights that guide operational and strategic decisions. Reporting to the Chief AI Officer, the Director will work closely with business, product, and engineering leaders to ensure analytics drives measurable improvements in customer and company outcomes. What You Will Do • Lead critical business analyses: Perform end-to-end analytics across payment operations, chart review workflows, and customer performance metrics to identify optimization opportunities. • Design foundational data assets: Build and maintain the base data sets, aggregates, and pipelines required for robust reporting and insight generation. • Create business dashboards: Partner with engineering and product teams to deliver comprehensive reporting dashboards that provide leaders with real-time visibility into operational and financial performance. • Run simulations and financial models: Use historical data to design models that simulate the impact of business decisions—helping leadership understand trade-offs and predict outcomes of operational “knob-turning.” • Deliver ad hoc insights: Scope and execute analyses to answer urgent or strategic questions posed by executives and operational leaders. • Collaborate cross-functionally: Translate business problems into analytical approaches and communicate findings effectively to both technical and non-technical stakeholders. • Hire and scale a team: As the business grows, recruit, mentor, and manage a team of analysts to extend the reach and impact of the analytics function. • Drive continuous improvement: Establish best practices in analytics, promote data-driven decision-making, and foster a culture of accountability and innovation. What You Bring • Degree in a quantitative field (e.g., Statistics, Economics, Operations Research, Data Analytics, Engineering, or related discipline). • 10+ years of analytics, business intelligence, or quantitative consulting experience, with at least 5 years in a leadership role, ideally including start-up or growth-stage company experience. • Technical proficiency in SQL/python and ability to interact with modern database systems to manipulate datasets • Proven track record of delivering high-impact analyses and driving measurable business improvements. • Experience designing and building core data sets, dashboards, and business intelligence infrastructure. • Strong financial modeling and simulation skills, with the ability to quantify the impact of strategic and operational changes. • Ability to communicate complex analytical findings clearly to executives and cross-functional partners. • Experience hiring, mentoring, and scaling high-performing analytics teams. • Comfort operating in a fast-paced, ambiguous environment and balancing short-term needs with long-term strategic priorities. • Optimism, resilience, and a collaborative spirit; you thrive on helping both your team and the business succeed. Equal Employment Opportunity at Machinify Machinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. Machinify believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace. See our Candidate Privacy Notice at: https://www.machinify.com/candidate-privacy-notice/

Build systems that accelerate and scale the use of AI/ML innovations in Machinify’s production platforms, focusing on Payment Integrity and Audit solutions. Collaborate with Data Science and Data Engineering to deliver end-to-end solutions that automate complex review types and reduce manual audit review times. | Expertise in machine learning and AI/ML with a strong background in implementing solutions into production environments is required. Candidates should have strong programming skills in Python or Java/Scala and experience with big-data technologies. | Machinify is the leading provider of AI-powered software products that transform healthcare claims and payment operations. Each year, the healthcare industry generates over $200B in claims mispayments, creating incredible waste, friction and frustration for all participants: patients, providers, and especially payers. Machinify’s revolutionary AI-platform has enabled the company to develop and deploy, at light speed, industry-specific products that increase the speed and accuracy of claims processing by orders of magnitude. What You'll Do: Build systems that accelerate and scale the use of AI/ML innovations in Machinify’s production platforms, focusing on Payment Integrity and Audit solutions. You will 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. What You'll Bring: Expertise in machine learning and AI/ML, with a strong background in implementing state-of-the-art AI/ML solutions into production environments. Strong Python or Java/Scala experience Production experience with big-data technologies and systems for handling sophisticated agentic workflows. Proven track record in reducing manual processes through automation, especially in areas requiring domain-specific expertise like healthcare payer rules and medical staff review. Strong collaboration skills to work effectively with data scientists and other engineers in a cross-functional team environment. Ability to synthesize requirements into deep technical design through collaboration across Data Science, Data Engineering, and Engineering teams. A passion for pushing the boundaries of AI to achieve higher accuracy and efficiency than human counterparts. Technical Requirements: Bachelors of Science in CS or related field. 3+ years building and shipping production AI/ML solutions and co-working with Data Scientists Experience with Python AND Java/Scala or similar languages. Strong CS foundation (data structures, asynchronous programming) Strong test writing discipline Experience with reading and understanding complex enterprise-grade code and quickly contributing to it, and suggesting improvements. Equal Employment Opportunity at Machinify Machinify is committed to hiring talented and qualified individuals with diverse backgrounds for all of its positions. Machinify believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace. See our Candidate Privacy Notice at: https://www.machinify.com/candidate-privacy-notice/