The Lead, Client Engagement Strategy will manage end-to-end client implementations and optimize engagement programs to meet performance goals. This role involves building scalable playbooks, leveraging AI for content production, and acting as the primary engagement expert for enterprise clients.
You will operate at the seams of a distributed healthcare data platform, managing shared libraries and resolving complex production incidents. You will also lead cross-cutting technical initiatives and set architectural direction to improve system scalability and reliability.
The Staff Engineer will serve as the technical owner of the FHIR server platform, overseeing its architecture, performance, security, and cost-efficiency. They will drive FHIR standards conformance, implement access controls, and mentor engineering teams to ensure a scalable and reliable health data infrastructure.
The FP&A Manager will build and refine driver-based financial models while preparing board-level reporting and KPI dashboards. They will also act as a strategic partner to various departments to manage growth, burn rates, and capital efficiency.
The engineer will build and maintain scalable systems, agentic workflows, and data pipelines to automate personalized member communications across various channels. They are responsible for owning the end-to-end automation stack, ensuring regulatory compliance, and providing self-serve reporting for internal teams.
The Principal will serve as the technical authority for interoperability standards, bridging the gap between product development and external standards bodies like HL7 and ONC. They are responsible for shaping product strategy in alignment with evolving regulatory frameworks and ensuring the scalability of AI-powered interoperability capabilities.
You will own the analytical infrastructure for a clinical AI system, including drift detection, safety-weighted quality scoring, and health scoring analysis. You will also collaborate with engineering teams to evaluate RAG performance and clinical skills library accuracy.
You will design and build the production infrastructure, deployment pipelines, and observability layers for a clinical AI system. You will collaborate with data scientists to ensure models move from prototype to reliable production environments.
You will build and operate a reliable, secure, and efficient platform for the b.well network using AWS and EKS. You will also champion automation and represent the company's engineering work through external industry engagement.
You will lead the end-to-end design of complex, data-rich healthcare products, including AI-powered assistants and SDKs. You will collaborate with product and engineering teams to translate health data into simple, actionable user experiences.
The specialist will manage the B2B client support queue, ensuring all tickets are triaged and resolved within SLA windows. They will also handle proactive client communications, monitor system health, and coordinate with internal engineering and product teams to resolve technical issues.
Set the technical direction for ingesting, transforming, and delivering healthcare data at scale on a FHIR-based platform. Lead the implementation of AI-native engineering practices and mentor senior and mid-level engineers.
Own the product roadmap for FHIR-based interoperability and the b.well Network, translating regulatory requirements into technical specifications. Define and track KPIs to optimize network growth and improve data exchange between patients, providers, and payers.
Own the end-to-end healthcare data lifecycle, from ingesting raw sources to delivering standards-conformant FHIR data. Utilize AI-native tooling and coding agents to build resilient pipelines and optimize production performance.
Design and build scalable data ingestion pipelines to transform fragmented provider data into standardized FHIR resources. Own end-to-end data quality, implementing AI-powered tooling for entity resolution and relationship inference.
Design and build event-driven distributed systems and API architectures using Kafka and federated GraphQL. Lead technical design reviews and mentor senior engineers to ensure platform coherence and scalability.
Drive complex enterprise software implementation projects from inception to completion while ensuring timely delivery within scope and budget. Collaborate with internal teams and external partners to manage healthcare system integrations and foster high-level client relationships.
Design, build, and scale real-time health data exchange solutions using FHIR standards and cloud-native infrastructure. Manage complex integration projects connecting EMRs, labs, and pharmacy systems while ensuring HIPAA compliance and data security.
The Senior Site Reliability Engineer will focus heavily on automation across infrastructure building, monitoring, and disaster recovery, while also building new solutions to support the business network. They are expected to document processes, mentor peers, and engage in the technology community through speaking and blogging.
