Jobs at Proscia

Owns end-to-end B2B demand generation campaigns in HubSpot, including segmentation, workflows, landing pages, lead scoring, routing, lifecycle management, reporting, and event nurturing. Partners with sales and external contractors to improve pipeline generation, campaign performance, and account targeting. Uses AI tools such as Claude for campaign development, research, workflow optimization, and analysis. Manages conference, webinar, and digital event campaigns while providing strategic interpretation of marketing data.

Leads end-to-end technical implementations of digital pathology solutions, including environment configuration, integrations, data migrations, testing, go-live stabilization, and troubleshooting across application, infrastructure, networking, storage, identity, and database layers. Develops deployment automation, identifies risks, mentors engineers, improves implementation standards, and collaborates with customers, architects, project managers, Product, Engineering, and Support.

As an Implementation Engineer, you'll manage the technical delivery of AI-driven pathology software deployments, focusing on installation, integration, and troubleshooting while collaborating with various teams and ensuring customer satisfaction.

Build and evolve scalable software for digital pathology and medical imaging. Responsibilities include developing TypeScript and Vue applications, backend services, APIs, microservices, cloud-native infrastructure, automated tests, and CI/CD pipelines. The role contributes to architecture, observability, performance, developer productivity, and AI-assisted engineering workflows. Collaboration occurs across Agile/Scrum teams, with opportunities to improve engineering standards and deliver reliable healthcare software.

The Reliability Engineer will manage performance and reliability of Proscia's installations, ensure system stability, troubleshoot issues, and improve automated deployment processes.

Design end-to-end product experiences for Proscia’s AI-powered pathology platform, focusing on human-AI collaboration, model output explainability, usability research, design systems, data visualization, and occasional visual assets for marketing. Collaborate with product, engineering, and science teams and design with regulatory awareness for medical device usability standards.