
Post Acute Analytics
Remote Jobs
Real-time tracking of patients across the Continuum of Care
4 Jobs
• Develop and report on operational statuses and performance opportunities • Develop presentation materials for client and provider facing teams to utilize • Identify and present actionable insights for cross-departmental team to utilize • Track and analyze key performance indicators across multiple clients • Coordinate with various stakeholders for operational insights needs • Drive routine deliverables as well as numerous ad hoc requests • Other duties as required – we are a thriving, growing, company with a lot of opportunity
Senior Software Engineer – Test
Post Acute AnalyticsReal-time tracking of patients across the Continuum of Care
• Design, build, and maintain scalable test automation frameworks; create technical solutions, documentation, and training resources to allow our QA engineers to easily create scenarios within these frameworks • Own end-to-end test strategy for our platform, including functional, integration, regression, performance, and security testing • Integrate automated testing into CI/CD pipelines in collaboration with our platform engineering team • Perform load, stress, and performance testing on high-throughput processes • Mentor QA engineers; drive engineering-wide best practices for testability and quality • Perform investigation with root cause analysis, and close the loop with new automated coverage
Senior Product Manager
Post Acute AnalyticsReal-time tracking of patients across the Continuum of Care
• Own the discovery and delivery of transformational features affecting health and safety • Work closely with clinical advisors, engineering leads, and industry partners • Define the Senior PM role with new tooling • Define and evangelize the roadmap for care transition features • Lead continuous discovery with clinical end-users • Design and run rapid experiments to validate problem-solution fit • Own the full sprint lifecycle from story writing to release • Collaborate with engineering and design to ship clinically accurate features • Define and track product KPIs tied to clinical outcomes
Technical Product Manager
Post Acute AnalyticsReal-time tracking of patients across the Continuum of Care
• Own the integration product surface area • Connect integration strategy to product vision—understand how integration capabilities enable or constrain user-facing product goals • Define and evolve the product vision, roadmap, and outcomes for PAA’s integration platform and customer/partner integrations • Identify and prioritize integration work based on customer impact, implementation scale, reliability risk, revenue/retention impact, and engineering effort • Establish and track success metrics (e.g., time-to-integrate, integration reliability/SLA adherence, error rates, throughput/latency, support burden, adoption) • Partner with Client/Implementation teams and customers/partners to deeply understand integration requirements, constraints, timelines, and acceptance criteria • Write clear epics, user stories, and technical requirements that enable Engineering to deliver with minimal ambiguity (data mapping, edge cases, error handling, security, observability, and support workflows) • Define API contracts and integration behaviors in collaboration with engineers (authentication, rate limits, retries, idempotency, schema changes, versioning, and backward compatibility) • Drive execution within an Agile team • Own and continuously refine the product backlog for the Integrations Engineering Scrum team • Lead/enable sprint planning, backlog refinement, and sprint review readiness (ensuring stories are “ready,” dependencies are surfaced, and scope is coherent) • Coordinate cross-team dependencies (Product, DevOps, InfoSec, Data/Analytics, QA, Implementation, Support) • Improve integration patterns and reusability: templates, playbooks, standardized workflows, reference architectures, and documentation • Drive feedback loops from production: analyze incidents, integration failures, customer escalations, and operational pain points; prioritize systemic fixes over repeated one-offs • Partner with engineering leadership to make pragmatic build-vs-buy decisions and minimize long-term maintenance cost