<h3>Job Description</h3>
Job Description
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're looking for skilled Staff Backend Engineer to join our growing engineering team. 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 through serving as a tech lead or guiding complex projects.
Our engineering team is composed of the best and brightest software developers and data engineers. They're 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 impactful towards the success of the business. Together we build highly performant ML and AI products that are transforming the landscape of healthcare!
What You’ll Do:
<ul>
<li>
Contribute to backend server-side development to ensure our application is extensible, scalable, and secure
</li>
<li>
Recognize and prioritize between Customer deliverables &amp; Tech debt to develop a sustainable software suite of products.
</li>
<li>
Enjoy designing and architecting complex frameworks for applying ML techniques to large data volumes and simplifying labor-intensive processes
</li>
<li>
Deliver resilient enterprise software solutions
</li>
</ul>
What You Bring:
<ul>
<li>
10+ years of backend focused experience in the field of application programming and complex API development
</li>
<li>
Strong working experience with Java or Scala 
</li>
<li>
Proven experience developing thoughtful backend system design and architecture with scalability in mind
</li>
<li>
Additional Rust experience highly desired across greenfield projects!
</li>
<li>
Experience reading and understanding complex enterprise-grade code, quickly contributing to it, and suggesting improvements.
</li>
<li>
Working experience writing SQL queries
</li>
<li>
Strong CS foundation (data structures, asynchronous programming)&nbsp;
</li>
<li>
Excellences in test writing discipline
</li>
<li>
Critical thinking and problem solving skills working in a high growth environment
</li>
<li>
Comfortable navigating ambiguity
</li>
<li>
BS or MS in Computer Science (or equivalent experience)
</li>
</ul>
What We Offer:
<ul>
<li>
Work from anywhere in the US! Machinify is digital-first.
</li>
<li>
Flexible and trusting environment where you’ll feel empowered to do your best work
</li>
<li>
Unlimited PTO
</li>
<li>
Full Medical/Dental/Vision for employees &amp; their families w/ 100% premium coverage options!
</li>
<li>
Competitive salary, equity, 401(k) sponsorship
</li>
<li>
Learning and Development reimbursement policy
</li>
</ul>
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 $225k +/-&nbsp; 
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.&nbsp;
See our Candidate Privacy Notice at: <a href="https://www.machinify.com/candidate-privacy-notice/" target="_blank">https://www.machinify.com/candidate-privacy-notice/</a>

Staff Software Engineer, Backend (Remote)

<h3>Job Description</h3>
Job Description
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.
 Product Director, AI-Powered Healthcare Payments 
Machinify is seeking a visionary and hands-on Product Director to help us leverage the latest advances in AI—including generative AI and AI agents—to build the next generation of healthcare payment automation products. This is a unique opportunity to shape the future of healthcare operations by building solutions that combine deep technical expertise, customer empathy, and a passion for transforming complex workflows. 
 What You’ll Do 
• Define Product Vision and Requirements:
Lead the definition of product requirements for Machinify’s Payments solutions, ensuring they align with both customer needs and the capabilities of our AI platform.
• Develop a Deep Understanding of Customers:
Gather and analyze customer needs, policies, and processes. Translate these insights into clear, actionable requirements for Data Science and Engineering teams.
• Analyze Data and Drive Business Value:
Utilize Data Science and understand the drivers of business value for our customers. Challenge the status quo and propose new, AI-driven processes to deliver that value.
• Hands-On with AI &amp; Technology:
Develop a deep understanding of the Machinify platform and products, and estimate the technical complexity of implementation. Apply hands-on experience with generative AI or intelligent agents to prototype and validate new approaches to automation.
• Cross-Functional Alignment:
Build strong partnerships and facilitate collaboration across Product, Engineering, Data Science, and Design teams. Lead refinement discussions to drive out needed functional requirement details.
• Stakeholder Management:
Drive cross-functional alignment among stakeholders, ensuring everyone is working towards shared goals and that feedback loops are fast and effective.
• Product Roadmap Execution:
Ensure the execution of our product roadmap, setting key delivery milestones and overseeing the seamless delivery of product requirements.
• Client Service Mindset:
Bring experience from consulting or client service environments, with the ability to build trust, understand client needs, and deliver measurable value in partnership with customers.
• Curiosity &amp; Critical Thinking:
Bring a high level of curiosity and the ability to ask probing questions, always seeking to learn and improve.
What You Bring 
• Product Leadership:
Deep experience as a Product Director or Senior Product Manager in a high-tech organization, with a strong track record of facilitating the delivery of enterprise-level roadmaps.
• Technical Fluency:
Extensive background in software product delivery, either as a product manager or a software engineer. Ability to understand engineering concepts and communicate effectively with technical teams.
• Data Science Knowledge:
Working knowledge of data Science and Machine Learning techniques to be credible and able to work with data scientists and practitioners on .
• Hands-On AI Experience:
Direct, practical experience using generative AI or AI agents to transform or automate business processes is a plus.
• Client Service Orientation:
Experience in consulting or client service environments, with demonstrated ability to build positive relationships based on trust and value delibvered.
• Initiative &amp; Ownership:
You take the initiative and own projects from start to finish, driving outcomes and continuous improvement.
• Stakeholder Management and Relationship Building:
Ability to build positive relationships across diverse teams and with customers and manage multiple stakeholders
• Exceptional Communication:
Strong communicator with excellent process and decision-making skills; able to facilitate alignment and inspire cross-functional teams.
• Strategic &amp; Detail-Oriented:
A critical thinker who can be strategic without losing attention to detail.
Passion for AI Transformation &amp; Healthcare:
A curiosity and transforming driven by AI. Knowledge of healthcare payments, reducing administrative waste, and improving outcomes through cutting-edge technology a 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.&nbsp;
See our Candidate Privacy Notice at: <a href="https://www.machinify.com/candidate-privacy-notice/" target="_blank">https://www.machinify.com/candidate-privacy-notice/</a>

Product Director | GenAI

<h3>Job Description</h3>
Job Description
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.
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:
<ul>
<li>
Define product requirements for Machinify’s Payments solutions
</li>
<li>
Gather and understand our customers needs, policies and process and translate into requirements for our Data Science and Engineering teams
</li>
<li>
Understand the drivers of business value to the customer, challenge the status quo and propose new processes where needed to deliver that value
</li>
<li>
Develop a deep understanding of the Machinify platform and products and the ability to estimate technical complexity of implementation.
</li>
<li>
Drive cross-functional alignment among stakeholders, building strong partnerships and facilitating collaboration across teams&nbsp;
</li>
<li>
Facilitate refinement discussions to drive out needed functional requirement details
</li>
<li>
Ensure the execution of our product roadmap, setting key delivery milestones and overseeing on-time, seamless delivery of product requirements
</li>
<li>
Bring a high level of curiosity and the ability to ask probing questions 
</li>
</ul>
What You Bring:
<ul>
<li>
You have deep experience as a Product Manager in a high-tech organization, and have a strong track record of facilitating the delivery of enterprise level roadmaps.
</li>
<li>
You have extensive track record in software product delivery, either as a product manager or a software engineer.
</li>
<li>
You enjoy diving into the financial aspect of product delivery
</li>
<li>
You take the initiative and own projects from start to finish
</li>
<li>
You can build positive relationships based on trust and value delivered
</li>
<li>
You can communicate effectively and bring strong process, project management and decision-making/facilitating skills
</li>
<li>
You are a critical thinker who can be strategic without losing the attention to detail
</li>
</ul>
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.&nbsp;

Product Manager

<h3>Job Description</h3>
Job Description
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 seeking a Director of Data Science. This role will be responsible for the overall leadership and management of the data science team at Machinify, and requires a deep technical background, strong leadership skills, and the ability to drive innovation and excellence in a fast-paced environment. Reporting to the Chief Data Scientist, the Director of Data Science will collaborate closely with other leaders to align engineering efforts with the company's strategic goals.&nbsp;&nbsp;
What you will do:
<ul>
<li>
Provide direction and guidance to a team of Senior and Staff Data Scientists, enabling them to do their best work
</li>
<li>
Collaborate with the leadership team to define key technical and business metrics and objectives
</li>
<li>
Translate objectives into internal team priorities and assignments
</li>
<li>
Drive sprints and work with cross-functional stakeholders to appropriately prioritize various initiatives to improve customer metrics
</li>
<li>
Hire, mentor and develop team members
</li>
<li>
Foster a culture of innovation, collaboration, and continuous improvement
</li>
</ul>
<ul>
<li>
Communicate technical concepts and strategies to technical and non-technical stakeholders effectively
</li>
<li>
Own the success of various models on the field by continuously monitoring KPI’s and initiating projects to improve quality.&nbsp;&nbsp;
</li>
</ul>
What you bring:
<ul>
<li>
Degree in Computer Science, Engineering, or a related field
</li>
<li>
10+ years of data science experience, with at least 5 years in a leadership role, including a leadership role at a start-up. Proven track record of managing data teams and delivering complex, high-impact products from concept to deployment
</li>
<li>
Strong knowledge of data privacy regulations and best practices in data security
</li>
<li>
Exceptional team management abilities, with experience in building and leading high-performing teams
</li>
<li>
Ability to think strategically and execute methodically
</li>
<li>
Ability to drive change and inspire a distributed team
</li>
</ul>
<ul>
<li>
Strong problem-solving skills and a data-driven mindset
</li>
<li>
Ability to communicate effectively, collaborating with diverse groups to solve complex problems
</li>
<li>
You embrace challenges with optimism and a balanced, and bring a business-oriented approach to product development
</li>
<li>
You prioritize customer impact, ensuring your work significantly advances our product value
</li>
</ul>
What we offer:
<ul>
<li>
A flexible and trusting environment where you'll feel empowered to do your best work.
</li>
<li>
Work from anywhere in the US! Our team is distributed and most of us work from home.
</li>
<li>
Hardworking and supportive colleagues, and a leadership team that understands the importance of recruiting and retaining top talent.
</li>
<li>
Incredible medical, vision, and dental benefits for employees &amp; their families.
</li>
<li>
Competitive salary and equity, 401(k) sponsorship.
</li>
</ul>
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.&nbsp;
See our Candidate Privacy Notice at: <a href="https://www.machinify.com/candidate-privacy-notice/" target="_blank">https://www.machinify.com/candidate-privacy-notice/</a>

Director | Data Science

<h3>Job Description</h3>
Job Description
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.
Why This Role Matters
Our data pipelines power payment decisions, product insights, ML models, and customer operations - our data engineering infrastructure must evolve to support scaling and efficiency.
As a Staff/Lead Data Engineer, Infra, you will play a pivotal role in enabling every data engineer to be faster, more reliable, and more productive. You will build the core frameworks, tools, and observability systems that:
<ul>
<li>
Abstract common pipeline patterns into reusable components
</li>
<li>
Implement robust monitoring and testing across the platform
</li>
<li>
Drive testability and data quality at scale
</li>
<li>
Unify tooling and standards across our post-merger environment
</li>
<li>
Explore the use of GenAI to further accelerate data engineering productivity 
</li>
</ul>
You’ll collaborate deeply with Data Engineers, Data Scientists , Platform Engineers, ML, Product, and SMEs to shape the foundation of our next-generation data platform.
What You’ll Do🛠 Build Core Data Engineering Infrastructure
<ul>
<li>
Develop and maintain internal DE SDKs / libraries to abstract and standardize Spark + Airflow patterns.
</li>
<li>
Design and implement pipeline testing frameworks to enable CI/CD-based data validation.
</li>
<li>
Create pipeline observability &amp; monitoring systems (Grafana, ELK, DataDog) to ensure reliability and visibility.
</li>
<li>
Drive adoption of data validation frameworks to automate and scale data quality enforcement. 
</li>
</ul>
🚀 Drive Platform &amp; Unification Initiatives
<ul>
<li>
Lead initiatives to unify our data platform post-merger by defining scalable standards and patterns.
</li>
<li>
Partner with Data Engineers and SMEs to improve canonical modeling, schema evolution, and data versioning.
</li>
<li>
Help architect centralized metadata management to replace fragmented, ad-hoc systems. 
</li>
</ul>
🤖 Innovate with GenAI &amp; Modern Practices
<ul>
<li>
Leverage GenAI and modern tooling to improve pipeline development, monitoring, and debugging.
</li>
<li>
Prototype new ways to improve developer productivity, data quality and pipeline reliability using emerging technologies. 
</li>
</ul>
🤝 Collaborate Across Teams
<ul>
<li>
Work with core Data Engineers to identify and address productivity bottlenecks and scaling challenges.
</li>
<li>
Support customer data onboarding frameworks indirectly through improved tooling and processes.
</li>
<li>
Partner closely with Platform/Server Engineering to build/request new features
</li>
</ul>
What You BringRequired Technical Skills &amp; Experience
<ul>
<li>
7+ years of experience as a Data Engineer / Software Enginer / Platform Engineer, with strong expertise building internal tooling and frameworks.
</li>
<li>
Proficient in Python and SQL.
</li>
<li>
Deep expertise with Apache Spark (core processing engine today).
</li>
<li>
Advanced experience with Apache Airflow.
</li>
<li>
Experience building monitoring &amp; observability systems (Grafana, ELK Stack, or DataDog).
</li>
<li>
Experience designing and implementing data validation &amp; testing frameworks at scale.
</li>
<li>
Strong understanding of AWS (primary cloud environment).
</li>
<li>
Proficient in Kubernetes and modern orchestration patterns.
</li>
<li>
Deep understanding of schema evolution, data modeling, and versioning for large-scale data platforms.
</li>
<li>
Proven ability to operate as a Staff/Lead: driving technical strategy, mentoring others, and collaborating cross-functionally. 
</li>
</ul>
Bonus Experience (Nice to Have)
<ul>
<li>
Experience working with Kafka, Spark Streaming, or other modern streaming platforms.
</li>
<li>
Scala experience (Spark internals, performance tuning, advanced transformations).
</li>
<li>
Familiarity with metadata management tools such as DataHub, Amundsen, or OpenMetadata.
</li>
<li>
Experience using GenAI to improve data engineering workflows and developer experience.
</li>
<li>
Experience building unified data platforms post-merger.
</li>
<li>
Exposure to GCP or multi-cloud environments.
</li>
</ul>
Why Join Us
<ul>
<li>
Real impact — your work will make the entire data engineering organization dramatically more effective.
</li>
<li>
Total ownership — build the core frameworks and standards that define the future of our data platform.
</li>
<li>
Opportunity to innovate — drive adoption of GenAI and modern data engineering practices.
</li>
<li>
Cross-functional leadership — collaborate across Data, ML, Platform, Product, and SMEs at a pivotal stage of company growth.
</li>
<li>
Fast-growing environments — contribute at a moment when building scalable, unified data infrastructure will have outsized impact.
</li>
</ul>
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.&nbsp;
See our Candidate Privacy Notice at: <a href="https://www.machinify.com/candidate-privacy-notice/" target="_blank">https://www.machinify.com/candidate-privacy-notice/</a>

Data Engineer | Infra

<h3>Job Description</h3>
Job Description
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.
Why This Role Matters
As a Data Engineer, you’ll be at the heart of transforming raw external data into powerful, trusted datasets that drive payment, product, and operational decisions. You’ll work closely with product managers, data scientists, subject matter experts, engineers, and customer teams to build, scale, and refine production pipelines — ensuring data is accurate, observable, and actionable.
You’ll also play a critical role in onboarding new customers, integrating their raw data into our internal models. Your pipelines will directly power the company’s ML models, dashboards, and core product experiences. If you enjoy owning end-to-end workflows, shaping data standards, and driving impact in a fast-moving environment, this is your opportunity.
What You’ll Do
<ul>
<li>
Design and implement robust, production-grade pipelines using Python, Spark SQL, and Airflow to process high-volume file-based datasets (CSV, Parquet, JSON).
</li>
<li>
Lead efforts to canonicalize raw healthcare data (837 claims, EHR, partner data, flat files) into internal models.
</li>
<li>
Own the full lifecycle of core pipelines — from file ingestion to validated, queryable datasets — ensuring high reliability and performance.
</li>
<li>
Onboard new customers by integrating their raw data into internal pipelines and canonical models; collaborate with SMEs, Account Managers, and Product to ensure successful implementation and troubleshooting.
</li>
<li>
Build resilient, idempotent transformation logic with data quality checks, validation layers, and observability.
</li>
<li>
Refactor and scale existing pipelines to meet growing data and business needs.
</li>
<li>
Tune Spark jobs and optimize distributed processing performance.
</li>
<li>
Implement schema enforcement and versioning aligned with internal data standards.
</li>
<li>
Collaborate deeply with Data Analysts, Data Scientists, Product Managers, Engineering, Platform, SMEs, and AMs to ensure pipelines meet evolving business needs.
</li>
<li>
Monitor pipeline health, participate in on-call rotations, and proactively debug and resolve production data flow issues.
</li>
<li>
Contribute to the evolution of our data platform — driving toward mature patterns in observability, testing, and automation.
</li>
<li>
Build and enhance streaming pipelines (Kafka, SQS, or similar) where needed to support near-real-time data needs.
</li>
<li>
Help develop and champion internal best practices around pipeline development and data modeling.
</li>
</ul>
What You Bring
<ul>
<li>
4+ years of experience as a Data Engineer (or equivalent), building production-grade pipelines.
</li>
<li>
Strong expertise in Python, Spark SQL, and Airflow.
</li>
<li>
Experience processing large-scale file-based datasets (CSV, Parquet, JSON, etc) in production environments.
</li>
<li>
Experience mapping and standardizing raw external data into canonical models.
</li>
<li>
Familiarity with AWS (or any cloud), including file storage and distributed compute concepts.
</li>
<li>
Experience onboarding new customers and integrating external customer data with non-standard formats.
</li>
<li>
Ability to work across teams, manage priorities, and own complex data workflows with minimal supervision.
</li>
<li>
Strong written and verbal communication skills — able to explain technical concepts to non-engineering partners.
</li>
<li>
Comfortable designing pipelines from scratch and improving existing pipelines.
</li>
<li>
Experience working with large-scale or messy datasets (healthcare, financial, logs, etc.).
</li>
<li>
Experience building or willingness to learn streaming pipelines using tools such as Kafka or SQS.
</li>
<li>
Bonus: Familiarity with healthcare data (837, 835, EHR, UB04, claims normalization).
</li>
</ul>
🌱 Why Join Us
<ul>
<li>
Real impact — your pipelines will directly support decision-making and claims payment outcomes from day one.
</li>
<li>
High visibility — partner with ML, Product, Analytics, Platform, Operations, and Customer teams on critical data initiatives.
</li>
<li>
Total ownership — you’ll drive the lifecycle of core datasets powering our platform.
</li>
</ul>
Customer-facing impact — you will directly contribute to successful customer onboarding and data integration. We're hiring across multiple levels for this role. Final level and title will be determined based on experience and performance during the interview process.
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.&nbsp;
See our Candidate Privacy Notice at: <a href="https://www.machinify.com/candidate-privacy-notice/" target="_blank">https://www.machinify.com/candidate-privacy-notice/</a>

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