Who we are
Post-Acute Analytics is building the clinical intelligence platform post-acute care. Our Anna platform helps care
managers and clinicians focus on what matters most: ensuring every patient gets the right care at the right
time. We deliver this through advanced predictive technology, turnkey integrations, performance analytics, and
clinical advisory services - helping providers and payers improve quality of care, decrease costs, and improve
patient satisfaction.
What you will do
PAA is evolving from standalone product to embedded clinical intelligence - Anna's insights flowing through
APIs into Epic, into partner systems, into the workflows where decisions happen. This role owns that surface
area. We are seeking a highly collaborative, technically fluent Technical Product Manager, Platform &
Integrations to drive the strategy and execution of PAA’s integration capabilities with customers and partners.
You’ll sit at the intersection of Engineering, Client/Implementation teams, and external partner technical teams,
translating real-world workflow and data exchange needs into clear product requirements that result in reliable,
scalable integrations. This role is ideal for someone who enjoys digging into “how the system actually works,”
can reason about APIs and data flows, and understands that integration quality directly shapes whether clinical
users trust and adopt our platform.
Core Responsibilities
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.
Technical Experience
- Proficiency in Node.js, React, TypeScript, and Python.
- Experience with hl7 messaging and robotic process automation a plus.
- Experience with PostgreSQL or similar relational databases.
- Proven experience in optimizing performance, scaling applications, and improving database efficiency (e.g., query optimization, indexing strategies, and database performance tuning).
- Experience implementing and operating caching layers (e.g., Redis).
- Experience with API development and external system integrations.
- Demonstrated understanding of GraphQL and/or RESTful API design.
- Hands-on experience with Docker and Kubernetes.
- Knowledge of event-driven architecture patterns (Kafka or similar)