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Leads approximately 35 engineers across data engineering, integration engineering, and integration support. Owns delivery predictability, manager development, operational reliability, SLA performance, data platform modernization, integration scalability, and organizational clarity. Partners with product, data science, commercial, and delivery teams while overseeing healthcare integrations with EHR systems, enterprise data infrastructure, incident management, and client-facing reliability commitments.

Provides inbound customer support for Vertafore software through calls, chats, emails, and cases. Resolves basic product, system, and software issues, documents solutions, educates customers on self-service, identifies problem trends, coordinates resolution with internal teams, and assists peers. The role requires learning troubleshooting across software, networks, databases, and operating systems in an office-based environment.

Build and maintain scalable self-service tools, automated workflows, and infrastructure for data and machine learning platforms. Collaborate with data engineers, scientists, and software engineers to develop reliable data products, implement monitoring and alerting, improve platform usability, integrate new technologies, and document workflows. The role supports data ingestion, analytics, machine learning processes, and scalable platform infrastructure.

Develop and automate comprehensive tests for data pipelines, ETL/ELT processes, and cloud data platforms. Validate data quality, transformations, performance, scalability, and time-series biosensor outputs. Build synthetic datasets that replicate production data, identify anomalies and bottlenecks, and improve testing frameworks. Collaborate with data engineers and scientists to ensure reliable data throughout the lifecycle supporting regulated software-as-a-medical-device products.

Supports sales teams and broker partners through prospecting, quoting, proposals, enrollments, renewals, RFPs, licensing, and producer appointments. Maintains pipeline and process tracking, coordinates with internal teams and third-party administrators, responds to product inquiries, supports broker training, and manages Salesforce records. The remote role may require occasional travel of less than 10% for open enrollment meetings.

Contract QA Engineer responsible for manual and automated testing of mobile and web applications. Duties include creating and executing functional, regression, exploratory, and end-to-end tests; validating across browsers, devices, and operating systems; troubleshooting failures; documenting defects; managing releases; reporting results; monitoring application health; and supporting customer issue investigations. The role requires collaboration across Product, Design, Development, and QA, with experience in SQL, test automation, TestRail, JIRA, CI/CD, and source control.

Leads applied machine learning and statistical research for health features using longitudinal wearable, physiological, behavioral, and multimodal data. Designs studies, models, evaluation protocols, and quality standards; partners with engineers to productionize methods; advises product, clinical, regulatory, and digital health teams; mentors scientists and engineers; and communicates evidence, limitations, risks, and trade-offs to technical and executive stakeholders.

Leads North American revenue marketing strategy, pipeline generation, revenue contribution, budget allocation, field and digital programs, public sector and partner marketing, and team development. Partners closely with Sales leadership to drive enterprise, commercial, public sector, and channel growth. Owns integrated marketing planning, performance measurement, investment decisions, and executive communication across the region.

Engineering interns develop, ship, test, and monitor production code through a meaningful project tailored to team needs. They collaborate with mentors and managers, contribute to real engineering systems, and present their work at the end of the internship. Projects may involve data pipelines, automated testing, financial platforms, frontend applications, APIs, deployment, and cloud technologies.

The Accounting Manager will oversee operating expenses and general accounting, manage monthly close, develop accounting processes, lead a team, and support audits.