Top Remote Jobs in Madison, WI

The Talent Acquisition Partner manages full-cycle recruiting for assigned requisitions, including sourcing, candidate engagement, interviewing, selection, offer negotiation, and applicant tracking. The role builds relationships with hiring managers, HR, community organizations, universities, and professional networks while developing creative sourcing strategies. Responsibilities also include maintaining positive candidate experiences, coordinating recruiting events, ensuring compliance with employment policies and laws, and supporting multiple recruiting assignments independently and collaboratively.

Maintains and retains existing commercial and industrial waste-service customers through outbound and inbound communication. Renews contracts, addresses cancellations, supports pricing initiatives, documents customer activity in Salesforce, and cross-sells Republic Services products to increase customer penetration and profitability. Reviews retention progress and relationship activities with the Sales Manager.

Leads and grows a frontend-focused development team, establishes architecture and engineering practices, drives frontend roadmap execution, reduces technical debt, improves reliability and security, partners with Product and the CTO, and mentors developers. The role oversees SaaS production systems, cloud platforms, APIs, microservices, customer-focused solutions, incident response, and engineering priorities.

Reviews closed mortgage loan files for completeness, underwriting and mortgage insurance compliance, and insurability. Manages a loan pipeline, interprets DU and LP findings, identifies discrepancies, researches guidelines, and resolves post-closing exceptions with internal and external stakeholders. Supports quality control, process improvement, accurate issue tracking, and regulatory compliance while maintaining confidentiality and meeting productivity standards in a remote environment.

Build and own the technical roadmap: design AI-first interfaces and APIs, architect scalable ETL pipelines, develop data models for ML features, ship autonomous B2B workflows (PO generation, vendor sync, schedule optimizations), and establish engineering standards, CI/CD, and mentoring.

Architects FHIR-compliant clinical data models and develops harmonization, enrichment, and validation strategies across EHR, HIE, and claims data. Maintains clinical ontologies and value sets, ensures data accuracy and longitudinal integrity, and documents technical requirements for engineering teams and stakeholders. The role requires advanced Python and SQL skills, healthcare interoperability expertise, and experience with clinical informatics or data integration.

Own clinical quality for member-facing AI products by partnering with product, engineering, and clinical teams. Design clinical AI evaluations, define quality thresholds and rubrics, assess accuracy, omissions, hallucinations, medication-safety risks, and translate clinical reasoning into prompts and decision logic. Monitor evolving evidence and standards of care, validate product launches, and communicate findings to technical and clinical audiences.

Own corporate FP&A forecasting, consolidations, cash flow planning, reporting, and financial modeling. Partner with Accounting and cross-functional leaders to analyze variances, improve forecast accuracy, support executive and Board reporting, and guide resource allocation. The role also enhances planning processes, automation, and models covering stock-based compensation, capital expenditures, collections, share count, and long-range planning.

Lead end-to-end AI improvement initiatives by assessing workflows, identifying automation opportunities, gathering stakeholder requirements, designing and integrating AI-powered solutions, and managing deployment and adoption. The role also includes process redesign, executive communication, internal AI enablement, responsible AI governance, privacy, access controls, and measuring post-implementation business impact.

Build and optimize scalable Databricks data pipelines across a medallion architecture. Develop data models, implement data quality checks and validation, integrate Azure services, and ensure data accuracy, governance, lineage, security, and performance. The role requires designing config-driven pipelines supporting CDC and event-based processing, maintaining CI/CD deployments, and working with structured and unstructured data across SQL and NoSQL systems.

Supports executives and stakeholders in defining business problems, requirements, processes, and success metrics for data, AI, and digital transformation initiatives. Identifies automation opportunities, specifies AI and data requirements, facilitates workshops, supports pilots and change management, partners with technical teams, oversees UAT, and maintains client relationships. Uses generative AI to accelerate analysis and documentation while validating outcomes and coaching project teams.