Machinify

Lead and manage a backend engineering team building scalable platform services and middleware to support multiple applications, driving platform adoption and operational excellence. | 8+ years software engineering with backend and platform expertise, 3+ years managing 6-10+ engineers, experience with distributed systems, backend languages like Scala/Java/Python/Go, cloud and containerization, strong leadership and communication skills. | 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's Core Platform team is the foundation that powers our healthcare AI products. We're seeking an exceptional Senior Engineering Manager who combines deep technical expertise in platform engineering with proven people leadership skills. You'll lead the team responsible for building and evolving our internal platform-as-a-product—the self-service APIs, tools, services, and infrastructure that enable our product teams to ship faster, safer, and more reliably. This role requires someone who has built middleware and services for multiple applications at scale, understands what makes great platform engineering, and can evangelize platform adoption across the organization. You'll manage a team of backend engineers working on critical platform capabilities including feature flagging, job processing infrastructure, event-driven architecture, observability, data query layer, application framework and developer tooling. This is a hands-on, technically deep leadership role where you'll balance strategic platform roadmap planning with day-to-day execution and team development. Does this sound like the right opportunity to explore?... Lets connect! What You’ll Do 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 What You'll Bring Required: 8+ years of software engineering experience with deep expertise in backend systems, distributed architecture, and platform engineering 3+ years of engineering management experience leading teams of 6-10+ engineers; proven ability to hire, develop, and retain top talent Platform Engineering Expertise: You've built middleware, shared services, or platform capabilities that serve multiple applications and teams; you understand what makes a great internal platform Distributed Systems Experience: Strong understanding of microservices, event-driven architecture, message queues (Kafka, RabbitMQ), API design, and service mesh patterns. Experience deploying such services to production at scale. Backend Technology Depth: Proficiency in modern backend languages (Scala, Java, Python, Go, or similar) and frameworks; experience with containerization (Docker/Kubernetes) and cloud platforms (AWS, GCP, or Azure) Cross-Functional Leadership: Proven ability to lead initiatives across multiple teams; experience working with product managers, designers, and other engineering leaders to drive outcomes Super Organized and Detail-Oriented: Exceptional project management skills; ability to juggle multiple initiatives, track dependencies, and deliver on commitments; creates clarity from ambiguity. Technical Communication: Excellent written and verbal communication; ability to write clear RFCs, architecture docs, and API specifications; can explain complex technical concepts to non-technical stakeholders Product Mindset: Treats the platform as a product with internal customers; gathers requirements, prioritizes based on impact, and measures adoption and satisfaction Preferred: AI/ML Platform Experience: Built infrastructure for LLM integration, model serving, ML pipelines, or AI application development; understanding of prompt engineering, RAG systems, or AI observability Healthcare Payment Integrity Domain Experience: Experience with several of: healthcare claims processing, payment integrity, medical coding, clinical NLP, healthcare data models, data mining in the domain. Large-Scale Systems: Built platform services supporting hundreds of developers or processing millions of transactions per day DevOps and Infrastructure: Experience with CI/CD pipelines, infrastructure-as-code, and GitOps workflows Data Platform Experience: Built data pipelines, event streaming platforms, or analytics infrastructure Strangler Fig Pattern: Experience with incremental migration strategies, legacy system modernization, or service extraction from monoliths What We Offer: Comprehensive health, dental, and vision insurance 401(k) with company match Flexible PTO policy Remote-first work environment Professional development budget Equity compensation Home office stipend 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 230k-270k. 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 design and development of large-scale AI-powered document processing systems and mentor engineers. | 6+ years software engineering with strong Java and Python skills, experience in AI/ML production, distributed systems, and healthcare or regulated domains. | 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. What You’ll Do As a Sr. Software Engineer at Machinify, you will lead the design and development of large-scale systems that bring cutting-edge AI into production to transform Payment Integrity and Audit solutions. You will: • Lead development of document processing pipelines capable of annually handling hundreds of millions of documents, including medical records, claims, and benefits data. • Collaborate across teams (Data Science, Data Engineering, and Product) to deliver robust, end-to-end AI-powered systems that automate complex workflows. • Address critical infrastructure needs by tracking and reducing tech debt while strengthening system reliability and scalability. • Mentor and guide engineers on best practices in designing production-grade AI systems, helping set technical direction for the team. What You’ll Bring • 6+ years of software engineering experience • Strong programming expertise in Java and Python, with additional experience in Scala a significant plus. • Experience designing and scaling large-scale, distributed systems and pipelines, ideally processing unstructured data such as documents or healthcare records. • Proven ability to productionize AI/ML techniques (e.g., LLM prompt engineering, RAG, workflow automation, and agents) with a focus on reliability, observability, and explainability. • Knowledge of monitoring and observability tools (Prometheus, Grafana or similar) and passion for tracking metrics. • Strong CS fundamentals, including data structures, asynchronous programming, and system design. • Demonstrated success in reducing manual processes through automation, ideally in healthcare, fintech, or other regulated domains. • Collaborative mindset with experience working closely with data scientists and cross-functional teams to translate requirements into technical designs and production systems. • A passion for pushing the boundaries of AI to deliver better-than-human-level accuracy and efficiency at scale. Technical Requirements • Bachelor’s or Master’s degree in Computer Science or a related field (or equivalent practical experience). • Track record of building and shipping enterprise-grade AI/ML systems in production. • Strong testing and code quality discipline, with experience contributing to and improving enterprise-grade systems. • Experience with big-data tools and distributed systems frameworks (e.g., Spark, Flink, Kafka, Airflow, Ray) is a strong plus. 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 domain strategy and product discovery for healthcare payment integrity, partnering with data science and engineering to define product requirements and ensure compliance. | 10+ years healthcare experience with 7+ years in payment integrity or claims analytics, 3+ years working with data science and engineering, strong knowledge of coding and regulatory standards, and relevant credentials. | 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 Director, New Product Research & Development to serve as the Healthcare Payment Integrity Subject Matter Expert embedded within our Product organization. You will partner primarily with Product Management, Data Science, and Engineering to turn domain insight into platform-informed product requirements, model evaluation criteria, and high-impact features. You will also be the Product team’s market and regulatory research engine—continuously translating policy and market dynamics into actionable opportunities and risks. A strong, hands-on understanding of a Payment Integrity platform (e.g., Cotiviti, Machinify) and direct experience working with Data Science are required. What you’ll do • 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. Note: This role is focused on product discovery, domain strategy, requirements, and validation. It does not manage day-to-day operations queues, staffing, or customer support. What you'll need: • Experience • 10+ years in healthcare with 7+ years focused on Payment Integrity, claims analytics, medical coding/audit, or payer operations at a health plan, PI vendor, or consultancy. • 4–6+ years leading cross-functional domain initiatives or teams; experience hiring, mentoring, and setting standards for SMEs/analysts. • 3+ years partnering directly with Data Science and Engineering on data-driven products; health tech experience required. • Strong, hands-on experience with a Payment Integrity platform (e.g., Machinify or comparable) and demonstrated ability to drive configure-vs-build decisions. • Domain knowledge • Deep understanding of claims data and adjudication flows, including X12/EDI (837P/I/D, 835), CARC/RARC, billing guidelines, and payer policy. • Strong grasp of coding and regulatory standards: ICD-10-CM/PCS, CPT/HCPCS, DRG/APC, NCCI (PTP/MUE), CMS NCD/LCD, IPPS/OPPS, and relevant state regulations; familiarity with FWA concepts a plus. • Knowledge of compliance, privacy, and auditability requirements (HIPAA/PHI handling, explainability, traceability). • Product and data skills • Expert at validating user stories, acceptance criteria, decision tables, and comprehensive test plans; proficient with Jira • Data fluency: able to interpret analytics dashboards, partner on experiments, and evaluate model/rule performance with DS. • Collaboration and communication • Executive presence with excellent facilitation and written communication; able to translate complex policy into clear product decisions for technical and non-technical audiences. • Proven track record influencing PM-led prioritization and aligning Engineering and DS around domain-driven requirements. • Education and credentials • Bachelor’s degree in health administration, informatics, nursing/clinical discipline, public health, or related field required; advanced degree preferred. • Relevant credentials such as CPC, CCS, RHIA/RHIT, RN, or similar are preferred. • Traits • Strategic, analytical, and pragmatic; low-ego collaborator who seeks clarity, challenges assumptions, and advocates for users. • Outcome-oriented with high ownership; balances domain rigor with product velocity; comfortable operating at both executive altitude and hands-on detail. 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/

Architect and lead large-scale data-intensive systems with AI/LLM integration, mentor engineers, and drive platform reliability and scalability. | 10+ years building distributed backend platforms, deep data-processing experience, strong CS fundamentals, SQL knowledge, and leadership/mentorship abilities. | 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. We are looking for an experienced Staff or Principal level Software Engineer to join our growing engineering team. In this role you will be responsible for shaping and architecting the next generation of Payer related solutions driven by a foundation that is based on AI and use of LLMs to solve payment integrity across claims processing for Healthcare Payers. The ideal candidate has proven track record of building complex software systems through the full lifecycle as well as proven leadership skills to be a guide, mentor and coach as well as be a tech lead for our projects in Payment Integrity space You’ll have the opportunity to work on a platform that sits at the intersection of engineering, AI, modeling, and real-world decision automation. As a cross-functional high impact role, you’ll influence foundational technical decisions and collaborate with a world-class engineering team solving meaningful and complex problems! What You’ll Do: 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 What You Bring: 10+ years of hands-on experience building complex distributed systems or large-scale backend platforms Strong working experience with Java or Scala (additional experience with python, Rust, or C# are a plus) Deep expertise with data-intensive systems, or real-time processing pipelines. Proven ability to drive high-impact , green field and / or ambiguous projects or architecture initiatives across teams Experience reading and understanding complex enterprise-grade code, quickly contributing to it, and suggesting improvements. Working experience writing SQL queries Strong CS foundation (data structures, asynchronous programming) BS or MS in Computer Science (or equivalent experience) What We Offer: Work from anywhere in the US! Machinify is digital-first Full Medical/Dental/Vision for employees & their families Flexible and trusting environment where you’ll feel empowered to do your best work Unlimited PTO Competitive salary, equity, 401(k) sponsorship and company match 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 for this role is $235k +/- 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 the design and implementation of large-scale data processing and AI-driven solutions, guiding architectural decisions and mentoring engineering teams. | Over 10 years of experience in building complex distributed systems, proficiency in data-intensive and real-time processing pipelines, strong CS fundamentals, and experience with enterprise-grade code. | 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. We are looking for an experienced Staff or Principal level Software Engineer to join our growing engineering team. In this role you will be responsible for shaping and architecting the next generation of Payer related solutions driven by a foundation that is based on AI and use of LLMs to solve payment integrity across claims processing for Healthcare Payers. The ideal candidate has proven track record of building complex software systems through the full lifecycle as well as proven leadership skills to be a guide, mentor and coach as well as be a tech lead for our projects in Payment Integrity space You’ll have the opportunity to work on a platform that sits at the intersection of engineering, AI, modeling, and real-world decision automation. As a cross-functional high impact role, you’ll influence foundational technical decisions and collaborate with a world-class engineering team solving meaningful and complex problems! What You’ll Do: • 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 What You Bring: • 10+ years of hands-on experience building complex distributed systems or large-scale backend platforms • Strong working experience with Java or Scala (additional experience with python, Rust, or C# are a plus) • Deep expertise with data-intensive systems, or real-time processing pipelines. • Proven ability to drive high-impact , green field and / or ambiguous projects or architecture initiatives across teams • Experience reading and understanding complex enterprise-grade code, quickly contributing to it, and suggesting improvements. • Working experience writing SQL queries • Strong CS foundation (data structures, asynchronous programming) • BS or MS in Computer Science (or equivalent experience) What We Offer: • Work from anywhere in the US! Machinify is digital-first • Full Medical/Dental/Vision for employees & their families • Flexible and trusting environment where you’ll feel empowered to do your best work • Unlimited PTO • Competitive salary, equity, 401(k) sponsorship and company match 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 for this role is $235k +/- 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 design and implementation of large-scale data mining and real-time processing solutions, shape architecture and best practices, mentor engineers, and collaborate cross-functionally to deliver AI-driven healthcare payment integrity products. | 10+ years building complex backend distributed systems with strong Java or Scala experience, deep expertise in data-intensive systems, strong CS fundamentals, and ability to lead technical initiatives. | 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. We are looking for an experienced Staff or Principal level Software Engineer to join our growing engineering team. In this role you will be responsible for shaping and architecting the next generation of Payer related solutions driven by a foundation that is based on AI and use of LLMs to solve payment integrity across claims processing for Healthcare Payers. The ideal candidate has proven track record of building complex software systems through the full lifecycle as well as proven leadership skills to be a guide, mentor and coach as well as be a tech lead for our projects in Payment Integrity space You’ll have the opportunity to work on a platform that sits at the intersection of engineering, AI, modeling, and real-world decision automation. As a cross-functional high impact role, you’ll influence foundational technical decisions and collaborate with a world-class engineering team solving meaningful and complex problems! What You’ll Do: • 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 What You Bring: • 10+ years of hands-on experience building complex distributed systems or large-scale backend platforms • Strong working experience with Java or Scala (additional experience with python, Rust, or C# are a plus) • Deep expertise with data-intensive systems, or real-time processing pipelines. • Proven ability to drive high-impact , green field and / or ambiguous projects or architecture initiatives across teams • Experience reading and understanding complex enterprise-grade code, quickly contributing to it, and suggesting improvements. • Working experience writing SQL queries • Strong CS foundation (data structures, asynchronous programming) • BS or MS in Computer Science (or equivalent experience) What We Offer: • Work from anywhere in the US! Machinify is digital-first • Full Medical/Dental/Vision for employees & their families • Flexible and trusting environment where you’ll feel empowered to do your best work • Unlimited PTO • Competitive salary, equity, 401(k) sponsorship and company match 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 for this role is $235k +/- 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/

Shape product strategy, translate customer needs into product requirements, collaborate with design, engineering, and data science teams, and drive cross-functional alignment to deliver impactful software products. | Extensive product management experience delivering complex software products, ideally in AI/ML or data-driven domains, strong UX partnership skills, technical curiosity, and excellent communication and facilitation abilities. | 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/

Manage and execute content strategy including creation, SEO optimization, performance analysis, and cross-team collaboration to drive brand awareness and lead generation. | Bachelor's degree in marketing or related field, several years of content creation or digital marketing experience, proficiency with CMS and SEO tools, strong writing and project management skills. | 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 fully remote. About The Opportunity As part of the Marketing team, you will execute the company's content strategy to drive brand awareness and generate leads. Your responsibilities include managing editorial calendars, optimizing content for SEO and various platforms, analyzing performance metrics, managing content budgets, and aligning all content with overall business goals. What You’ll Do Create high‑quality content across various formats, such as blogs, articles, social media posts, and email campaigns. Support an editorial calendar to ensure timely and consistent publication of content. Conduct SEO research and use findings to optimize content for maximum visibility. Track and analyze content performance metrics to inform future strategy. Collaborate with writers, editors, designers, and other departments (such as sales and product marketing) to ensure content meets the needs of stakeholders and the audience. Ensure all content adheres to brand guidelines and voice. Set realistic goals and develop a reporting plan for key performance metrics (engagement, reach, sentiment, etc.) to continuously improve and optimize content strategy. Prepare content marketing reports that demonstrate how we are performing against our goals. Manage and deliver our externally facing newsletter, adjusting its content to reflect industry trends and performance. Stay up to date with industry trends and best practices to continually evolve and innovate the company's content tactics and formats. Ensure all content adheres to legal and regulatory requirements. Qualifications A Bachelor’s degree in marketing, journalism, English, or a related field. Several years of experience in content creation, digital marketing, or a similar role, with a proven track record of managing successful campaigns. Proficiency with content management systems (like WordPress), SEO tools, and social media platforms. Ability to blend creative storytelling with data‑driven decision‑making to develop and optimize strategies. Excellent writing, communication, and project management skills. What Success Looks Like… After 3 months Have a strong understanding of the role. Begin building relationships and collaborating with peers. Develop effective time and priority management. Receive initial feedback about your performance and are using it to improve. Gain confidence in your abilities and are starting to feel more comfortable in your role. After 1 year Have mastered the tasks and responsibilities of the position, executing them with confidence and efficiency. Have established a strong network of internal relationships and are recognized as a key collaborator. Have been entrusted with greater responsibility indicating the company’s confidence in your abilities. See opportunities for career progression and personal development. Pay range $100,000 – $120,000. 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 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 #INDHP. #J-18808-Ljbffr

Lead and manage the DRG clinical validation team and processes, oversee claims review and recovery auditing, support client and internal teams, and drive strategic growth of clinical validation solutions. | Bachelor's degree, nursing license, 5+ years healthcare billing and coding experience, 3+ years claims auditing, CCDS or CDIP certification, and supervisory experience. | Description 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 fully remote About The Opportunity The DRG Clinical Validation Director is responsible for the development and management of our DRG clinical validation solutions, including MS and APR-DRG validation. This role requires expertise in healthcare payment methodologies and audit and review criteria to target key claims for review and recovery. Key responsibilities include production and team management, implementation/ integration support, client support, and providing assistance to various teams within the organization related to clinical validation. This position also supports the leadership, operations, sales, and marketing teams on RFPs and new client implementations. This role requires a proactive and strategic thinker with strong leadership and analytical skills to drive the success of our clinical solutions and ensure optimal team performance. Duties And Responsibilities • Strategic Planning & Vision: Develop and execute strategic plans to grow the DRG CV program, aligning with broader organizational goals and emerging industry trends. • Collaborative Development: Collaborate with a multi-disciplinary team of programmers, operations staff, product leaders, and auditors to bring DRG CV process ideas from creation to implementation. • Innovation & Market Awareness: Monitor emerging trends in payment integrity, audit methodologies, and health policy to inform innovation and maintain competitive differentiation. • Team Leadership: Lead the DRG Clinical Validation team by providing guidance, counsel, and development plans to ensure long-term retention and professional growth while fostering a culture of accountability, innovation and clinical excellence • Internal and External Claim Support: Support internal and external team members by leading calls and presenting cases to varying audiences. • Claims Review Management: Oversee the entire process of clinical claims review, understanding various client configurations and workflows. • Operational Oversight: Manage scheduling, reporting to management, issue resolution, and execution of plans. Capacity planning to ensure all SLAs are met regularly. • Work Coordination: Overall management of daily queue inventory. Assign and prioritize work, set goals, and coordinate daily activities of the team. Provide regular updates and communication through one-on-one and team meetings. • Performance Monitoring: Monitor individual and team results to ensure timely completion of work in accordance with department standards and medical policy guidelines. • Quality Assurance/Improvement Oversight: Establish and maintain quality assurance standards and continuous improvement processes to ensure clinical validation accuracy and consistency. • Analytical Problem-Solving: Demonstrate analytical skills to identify problems and trends, develop solutions, and implement action plans. • Policy and Process Development: Develop departmental policies, processes, and training standards. • Support and Evidence: Provide internal and external partners with evidence and references supporting industry standards, auditing guidelines, and review stances. • Performance Reporting: Manage and track data on key performance indicators, including quality scores, workflows, savings, revenue projections, and inventory. • Solution Development: Collaborate with a multi-disciplinary team to suggest solution development, including operations, product, data analytics, and technology. Work with testing team to communicate and train the DRG CV team on changes rolled out in software releases. • Timeline Management: Set timelines and ensure communication on progress, tracking delivery, and escalating roadblocks or dependencies. • Program Deployment: Design and deploy effective programs/solutions to identify and correct claims with aberrant results, providing feedback to resolve root causes. • Research and Special Projects: Assist with research, special projects, and ad hoc claim reviews as needed. • Other Duties: Perform other duties as assigned. Qualifications Skills, Knowledge, Education, and Experience • Bachelor’s degree (health administration, business, nursing) • Equivalent experience of 5+ years in healthcare billing and coding • Equivalent experience of 3+ years in claims auditing and recovery auditing • Nursing license required • Required certifications of CCDS or CDIP • Previous supervisory experience required Experience • Proven experience working within a team, sharing DRG CV audit process knowledge with sales, marketing, and development teams • Proven knowledge of classification systems, including MS-DRG, APR-DRG, AP-DRG • Demonstrated curiosity and mastery in understanding the root cause of events and behaviors • Strong experience in data utilization and insights • Experience independently structuring and executing complex analyses • Experience in production and team management • Experience with Readmission reviews • Ability to work efficiently and effectively with minimal supervision • High standards of quality and attention to detail • Deep understanding of Medicare and Commercial coding rules, regulations, and prospective payment systems • Superior knowledge of healthcare coding, billing, and reimbursement • Expert knowledge of clinical criteria documentation requirements • Subject matter expertise in DRG clinical validation Computer Equipment And Software • Experience working with multiple monitors • Proven success in a remote working environment • Proficiency in Windows office systems, including the full Microsoft Suite and Teams • Advanced skills in Microsoft Office (Excel, PowerPoint, Word) • Experience with various software applications and collaboration with development teams • Familiarity with multiple encoder/grouper applications Physical Demands • Ability to sit or stand for long periods, with occasional stooping and reaching • May require lifting up to 25 pounds • Requires a normal range of vision and hearing, with or without accommodation • Position is not substantially exposed to adverse environmental conditions Pay range: $130,000 - $160,000 USD 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 #INDHP

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/

Design, develop, and maintain scalable backend systems and distributed PostgreSQL databases to support AI platform expansion in healthcare claims processing. | 10+ years software development experience with Java or Scala, strong knowledge of distributed systems, microservices, relational databases, and cloud 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. We're looking for a skilled Staff Backend Engineer to join our growing platform engineering team. This position is critical to Machinify’s AI platform expansion initiatives. In this role, you will leverage your deep programming expertise to design and build scalable, reliable backend systems. The ideal candidate has strong experience in application system architecture and design, as well as proven leadership skills, whether in serving as a tech lead or guiding complex projects. 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! What You’ll Do: 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. What You Bring: 10+ years of strong software development experience including depth of knowledge in distributed systems, microservices architecture, and database technologies. Proficiency in Java or Scala, with a strong understanding of object-oriented and functional programming principles and performance tuning Experience with Java frameworks such as Spring or Java EE. Skill in reading the source for complex software systems, understanding them, and improving them Experience with SQL, database schema design, and relational database development/administration (PostgreSQL preferred) Knowledge of distributed computing frameworks (e.g. Apache Spark, Apache Kafka,). A strong CS foundation in data structures and asynchronous programming BS or MS in Computer Science (or equivalent experience) Preferred Qualifications: System programming experience with network stack and file-system Familiarity with Kubernetes for container orchestration Familiarity with cloud platforms (e.g., AWS) Experience with CI/CD tools and practices Proficiency with version control systems (e.g., Git) Soft Skills: Strong critical thinking problem-solving skills and attention to detail. Comfort when navigating ambiguity Excellent communication and teamwork abilities Ability to work independently and manage time effectively Proactive attitude and a joy for learning new technologies 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 for this role is $210k to $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/