Jobs at Machinify

Manage the full lifecycle of government healthcare and commercial health plan proposals, including RFPs, RFIs, RFQs, and ITBs. Build AI-enabled content libraries, coordinate cross-functional subject matter experts, develop persuasive narratives, manage review and approval processes, coordinate pricing and legal sign-off, submit responses through procurement portals, and improve proposal workflows. The role requires healthcare payment integrity knowledge, strong writing, project management, and meaningful daily use of AI tools.

Manages strategic health plan payer accounts, client satisfaction, service delivery, project lifecycles, financial results, and account growth. Leads cross-functional initiatives, resolves escalated issues, monitors account health and analytics, identifies efficiency improvements, partners with sales on expansion opportunities, and supervises, coaches, and develops Client Success Managers and Delivery Specialists.

Own the analytics data layer by translating stakeholder needs into certified dimensional models, governed metrics, semantic layers, dashboards, and reports. Build with dbt, SQL, Databricks, Power BI, and Airflow while ensuring data quality, observability, reconciliation, documentation, and dependable orchestration. Partner closely with finance, operations, and client-facing teams, automate recurring workflows, and use AI-assisted engineering practices in a fully remote environment.

Design, build, and operate production data pipelines using Python, Spark SQL, and Airflow. Canonicalize healthcare and customer data into trusted internal models, optimize distributed processing, enforce schemas, and implement quality checks and observability. Support customer onboarding, streaming pipelines, troubleshooting, on-call operations, and platform best practices while collaborating with product, analytics, engineering, data science, and customer teams.

Owns end-to-end administration of FMLA, state, disability, ADA-related, military, and company leave programs for a nationwide remote workforce. Ensures multi-state compliance, manages certifications and intermittent leave, coordinates with payroll and vendors, supports return-to-work processes, and advises employees and managers. Provides backup benefits administration for health, welfare, retirement, COBRA, enrollment, audits, and vendor escalations. Maintains policies, records, training, reporting, and process improvements.

Owns drafting and negotiation of AI, data, privacy, security, IP, and commercial contract terms for healthcare technology deals. Advises Sales, Client Success, product, and engineering on data rights, model training, PHI, HIPAA, licensing, and regulatory requirements. Negotiates customer, vendor, partner, SaaS, reseller, government subcontract, and technology agreements; manages deals through signature; maintains templates and playbooks; and escalates nonstandard privacy, compliance, and risk positions.

The Product Marketing Manager will support messaging and positioning, develop customer insights, create marketing assets, assist in product launches, and enable sales efforts.

Staff-level platform engineer to improve and scale inherited Scala systems, redesign data layers for ML/AI, build a Rust service framework, enhance observability and resilience, shape developer tooling and standards, and work across JVM, Rust, Python, SQL, and Spark.

Design user-centered solutions for complex healthcare intelligence products through research, ideation, wireframing, prototyping, documentation, and design-system development. Collaborate with product managers, engineers, and domain experts to support implementation, maintain consistency, and improve user experiences. The role requires strong UX/UI expertise, analytical problem-solving, communication, adaptability, and more than six years of experience.

Senior backend engineer responsible for setting technical direction, designing scalable distributed systems, building customer-facing web applications, mentoring engineers, and applying machine learning to large-scale healthcare data. The role requires Java, Scala, or Rust expertise, cloud systems experience, technical design leadership, cross-functional collaboration, and adoption of agentic engineering practices.

Lead and transform the QA function for an AI-accelerated software organization. Define technical quality strategy, CI/CD gates, test-data approaches for PHI, and automation across unit, integration, and end-to-end testing. Build and grow a high-performing quality engineering team, set release standards and exit criteria, integrate AI/LLM evaluation with MLEs, and provide auditable metrics for leadership and regulators.

The Software Architect will design and implement intelligent document processing and agentic evaluation frameworks, leading architectural direction and coding in Python and Scala/Java.

Lead a 5-6 person engineering team to build a cloud-native, AI-driven Coordination of Benefits product. Own architecture, roadmap, production releases, hiring, coaching, and engineering standards. Collaborate with product, ML, UX, QA, and operations to design rules engines, claims pipelines, and scalable secure systems for regulated healthcare data.

The Sr. Product Manager will oversee the transformation of pharmacy payment integrity through AI automation, design workflows, and collaborate with teams to enhance customer-facing analytics and operational processes.

The Senior Technical Data Product Manager will oversee the data product roadmap, collaborating with data engineering and architecture teams. Responsibilities include assessing legacy systems, developing product roadmaps, driving cross-functional deliveries, and ensuring technical requirements are met, aiming for swift execution and measurable impact.

Lead and grow the AI/ML Engineering team, manage core AI/ML platform development, ensure production-grade service operational excellence, and develop product strategies.

The Staff Data Scientist will advance machine learning models to optimize claim audits and improve business outcomes in healthcare.

The NLP Scientist will solve complex medical document understanding problems using NLP and CV methodologies, optimize models for performance, and make data-driven decisions.

The Staff Data Scientist will lead the development and deployment of ML and GenAI systems to detect billing errors and fraud in healthcare payments, collaborating with cross-functional teams.

Lead backend architecture and implementation for scalable, reliable cloud-hosted web products. Mentor engineers, set standards, integrate agentic AI coding tools, design systems applying ML to large datasets, and balance customer-facing features with technical debt and performance.