Jobs at Machinify

Manages client, compliance, and performance reporting across healthcare programs using eligibility and claims data. Leads reporting analysts while remaining hands-on with advanced SQL, dashboards, data crosswalks, validation, reconciliation, root-cause analysis, and data-quality monitoring. Partners with data engineering and clients to resolve upstream issues, establish reporting standards, and guide the analytics roadmap.

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.

Provides front-desk reception, visitor and badge management, office opening and closing, supply replenishment, vendor coordination, mail handling, meeting scheduling, executive support, invoice processing, facilities issue coordination, onboarding logistics, and employee event support. The role is fully onsite in Dallas and serves as the primary contact for visitors, employees, vendors, and office operations.

Manages and improves Machinify’s procurement operating model, including governance, source-to-pay processes, supplier management, systems, reporting, and controls. Leads procurement transformation workstreams, process optimization, automation, analytics, post-merger integration, sourcing and contracting initiatives, and stakeholder enablement. Partners with Finance, Legal, IT, Risk, Audit, and business teams to standardize workflows, improve visibility into spend, and drive adoption of procurement tools and practices.

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

Owns revenue retention, expansion, renewals, and new business across strategic national health plan accounts. Leads complex enterprise sales cycles, account planning, forecasting, executive relationships, pricing, contracting, and implementation handoffs. Expands services across payment integrity offerings, including recovery, editing, and audit solutions. Coordinates Finance, Legal, Client Success, Product, Clinical, Analytics, Operations, and Implementation teams while managing competitive strategy and payer relationships. Travel is expected 10–25% of the time.

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.

Provides on-site clerical and transaction-processing support for healthcare eligibility and recovery operations. Duties include document and mail processing, payment posting, data entry, phone communication with insurers and providers, office equipment use, and adherence to quality, regulatory, and client requirements. The role requires accurate typing, basic math, strong organization, customer service, multitasking, and timely completion of assigned work.

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.

Manage software engineering programs from requirements through production delivery. Coordinate cross-functional dependencies across engineering, data science, data engineering, DevOps, product, and external stakeholders. Track schedules, milestones, risks, critical paths, resourcing, quality, and release commitments. Improve engineering processes, identify delivery gaps, facilitate resolution, and ensure successful end-to-end product execution in a fast-paced environment.

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.

Entry-level accounting role supporting semi-monthly payroll, month-end close tasks, journal entries, accruals, reconciliations, payroll expense analysis, basic reporting, and building automated accounting workflows using AI and integrations.

Leads executive business operations and strategy for the CEO and Chief Transformation Officer. Responsibilities include strategic analysis, decision memos, M&A and synergy analysis, Board and investor presentations, executive operating cadence, OKR administration, commitment tracking, and AI-enabled productivity workflows. The role requires direct executive exposure, strong financial and analytical capabilities, advanced PowerPoint and Excel skills, exceptional writing, and the ability to work onsite in Dallas with 10%–20% travel.

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.

Provides legal counsel for pharmacy Coordination of Benefits operations, advising on federal and state laws, CMS guidance, contracts, compliance, risk mitigation, disputes, settlements, and litigation. The attorney reviews operational matters, trains pharmacy staff, supports client inquiries, coordinates with outside counsel, communicates regulatory developments, and collaborates with compliance, operations, and PBM teams. The role also includes negotiation with PBMs and employer benefit managers and participation in industry conferences.

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.

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.

Design and build scalable web applications, collaborate on product direction, and implement complex systems using ML techniques, ensuring software quality.