Jobs at Pivotal Health

Own customer-facing accounting operations, including advance deposits, payment application, IDRE refunds, and finance support tickets. Partner with Client Success to resolve customer questions, while providing backup coverage for revenue operations, accounts receivable, collections, and cash management. The role requires accurate execution, strong communication, ERP and Excel proficiency, adaptability, and the ability to manage deadlines in an evolving environment.

Own end-to-end product design for complex healthcare reimbursement workflows, from research and discovery through prototyping, delivery, and iteration. Partner with product and engineering teams, simplify complex B2B software, conduct user research, maintain design systems, ensure implementation quality, and design understandable AI-powered experiences. The role requires strong visual craft, product judgment, independent execution, and collaboration in a New York City hybrid environment.

Build and ship new products from zero to one across backend services, APIs, data pipelines, AI-driven workflows, and React front ends. Partner with customers to prototype solutions, design experiments, analyze results, and guide product direction. Establish technical architecture and reusable standards, then scale successful prototypes into production systems. Collaborate with product, platform, data, and operations teams while using AI tools throughout development.

Build and scale growth marketing programs that generate qualified pipeline. Own lifecycle journeys, lead scoring, ABM campaigns, HubSpot workflows, Salesforce data quality, paid digital campaigns, measurement, testing, and reporting. Partner with segment leaders, Content, Events, and Revenue Operations to activate messaging and optimize funnel performance. This hands-on role also uses AI tools to accelerate research, segmentation, copy testing, reporting, and workflow development.

Provides healthcare regulatory, reimbursement, dispute-resolution, litigation-readiness, contracting, and general legal counsel. Negotiates payer disputes, develops arbitration award collection processes, advises product and operations teams on regulatory requirements, reviews commercial agreements, and builds scalable legal workflows for a growing healthcare technology company.

Design, build, deploy, and maintain production AI systems (LLM-powered and agentic) to automate healthcare reimbursement workflows. Own end-to-end model development, evaluation, monitoring, and continuous improvement; collaborate with product, data, and operations to translate requirements into reliable, scalable systems while ensuring safety, observability, and compliance with healthcare data standards.

Build and maintain Finance dashboards, reports, and scalable data models for invoicing, revenue, collections, payments, refunds, and forecasting. Reconcile data across production systems, Salesforce, Rillet, Metabase, and financial reporting. Establish data quality controls, resolve discrepancies, and keep system definitions aligned. Translate ambiguous business questions into actionable financial insights while communicating findings to technical and non-technical stakeholders.

Drives new business with hospitals and health systems by building executive relationships, generating pipeline, managing complex multi-stakeholder sales cycles, developing account strategies, negotiating contracts, and closing deals. The role sells to CFO, Finance, and Revenue Cycle leaders, maintains Salesforce pipeline discipline, partners with Customer Success on onboarding and expansion, and improves the sales process.

Reviews payor and internal eligibility flags for claims entering the IDR process, determines corrective actions, and communicates findings to Client Success. Builds the ineligible-claims review process, investigates recurring product defaults, partners with Product on fixes, creates client-facing eligibility guidance, and develops Metabase or Power BI dashboards to monitor eligibility risk. Requires healthcare operations or analyst experience, strong Excel and basic SQL skills, clear communication, and cross-functional collaboration.

Process weekly fee refunds, reconcile payment and remittance data, investigate missing or delayed refunds, and respond to Client Success inquiries. Maintain Payor Compliance procedures, coordinate with IDR entities and internal teams, identify payment platform issues, escalate discrepancies, and improve operational processes. The role requires detailed, high-volume reconciliation and analysis using Metabase, BigQuery, spreadsheets, and related tools.

Build and manage IT operations for a growing multi-office company. Provide employee help desk support, administer accounts and SaaS tools, manage devices and hardware inventory, support office networks and conference rooms, oversee IT vendors, and coordinate onboarding and offboarding. Partner with the Security Platform team on device compliance, access reviews, and security awareness in a SOC 2 and HIPAA environment.

Lead the Case Strategy Engineering team, owning data models, databases, APIs, services, and full-stack workflows supporting AI- and ML-driven healthcare reimbursement strategies. Partner with Data Science and AI Platform teams to productionize models, build feedback systems, guide architecture, connect engineering outcomes to customer lift and ARR, and grow an experienced engineering organization.

Build and own backend-focused case execution systems covering eligibility, batching, submissions, operational workflows, and claim orchestration. Solve complex data-driven decision logic, improve workflow reliability, collaborate across engineering and product teams, and contribute to React-based internal tools and administrative workflows. The role requires strong Python experience, fullstack engineering fundamentals, and ownership in a fast-moving startup environment.

Own strategic financial analyses, build models for products, pricing, investments, and partnerships, analyze operational and financial data, and support forecasting, planning, investor materials, capital raises, and strategic initiatives. Partner cross-functionally to improve decision-making infrastructure and translate business drivers into actionable recommendations.

Own the technical direction and architecture of a shared product platform spanning identity, access, tenancy, APIs, developer tooling, and data services. Write production code, lead design reviews, establish scalable and reliable engineering practices, translate ambiguous requirements into executable plans, and mentor engineers across teams. The role requires strong backend expertise, cloud-native systems experience, product judgment, and comfort working autonomously in a greenfield environment.

Own strategic enterprise health system accounts, driving retention, expansion, and long-term partnerships. Advise revenue cycle executives, guide clients through No Surprises Act and IDR workflows, lead account planning and QBRs, resolve complex issues, and translate account analytics into recommendations. Build scalable client success playbooks and frameworks, synthesize client feedback for internal teams, and influence Product, Engineering, Operations, and Sales without direct reports.

Lead the evolution of Pivotal Health’s data infrastructure and engineering team. Own architecture across ingestion, processing, storage, and data consumption; build scalable streaming and batch platforms, APIs, observability, security controls, and privacy guardrails. Hire and mentor software engineers, promote testing, CI/CD, IaC, version control, and code quality, and enable product, AI, and business intelligence teams to manage schemas and consume reliable data services.

Drive new enterprise sales into hospitals and health systems by building executive relationships, managing complex multi-stakeholder deals from outreach through close, owning account strategy and forecasting in Salesforce, partnering on contracting and customer transition, and identifying expansion opportunities to grow revenue.

Own and improve backend case execution systems (eligibility, batching, submissions, orchestration). Solve complex, data-driven decision and workflow problems, collaborate cross-functionally, and support internal UI/admin tooling as needed.