Design, build, and scale real-time health data exchange solutions using FHIR standards and cloud-native infrastructure. Manage complex integration projects end-to-end while ensuring security, compliance, and interoperability across diverse healthcare data sources.
You will build and operate an internal AI developer platform to enable engineering teams to deliver software faster using agentic workflows. This involves designing secure, measurable, and cost-effective AI tools while ensuring compliance with healthcare data standards.
You will build and manage an internal AI developer platform to enable agentic workflows across the software development lifecycle. This involves designing reliable, secure, and measurable AI tools while partnering with engineering teams to drive adoption and productivity.
Manage complex onboarding of EHRs, providers, and payors while establishing new data connections to support company objectives. Monitor existing data connections for health and performance while creating operational playbooks to standardize and scale interoperability processes.
The Solutions Sales Engineer leads technical discovery, delivers product demonstrations, and drafts solution designs for prospects. They are responsible for managing technical evaluations, responding to RFIs/RFPs, and ensuring a smooth technical handoff to the implementation team.
The Solutions Services Engineer manages the technical execution of solution designs post-sales, guiding customer developers through SDK and API integrations. They also serve as a technical escalation point, diagnosing issues and contributing to documentation and process improvements.
The analyst will transform digital health data into actionable insights by developing clinical logic, predictive models, and population health frameworks. They will collaborate with cross-functional teams to drive product innovation and ensure high-quality clinical data governance.
You will design and implement robust, scalable data pipelines to support analytical and operational use cases across the healthcare platform. Additionally, you will collaborate with product and ML teams to build real-time data infrastructure and ensure system security and compliance.
Lead strategic client relationships and account success, aligning enterprise solutions with client goals while managing governance, contractual commitments, and growth opportunities. Coordinate cross-functional teams and projects, monitor program performance, communicate updates to stakeholders, and drive process improvements.
The Senior Sales Executive is responsible for managing a book of target accounts, self-generating pipeline, and closing complex deals with payers and health technology companies. They will lead executive meetings, build business cases, and manage the entire sales process from discovery to signature.
The RVP, Sales is responsible for managing complex, multi-year accounts and driving the full sales cycle from initial access to contract execution. This role involves building strategic relationships with C-suite stakeholders and shaping tailored solutions to meet the needs of health tech, payer, and pharmacy organizations.
Lead the Data Interoperability team to build and scale real-time data pipelines and infrastructure connecting thousands of healthcare data sources. Oversee the delivery of compliant Patient Access and Bulk FHIR APIs while managing team growth and technical strategy.
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 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 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.
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.
