Top Tech Jobs & Startup Jobs in Boston, MA

Design, build, and maintain scalable backend systems and data pipelines to generate point-of-care insights; collaborate with product and engineering stakeholders; mentor junior engineers; ensure solutions are secure, performant, maintainable, and support analytics and unified metrics collection.

Lead end-to-end onboarding and EHR optimization for partner practices, managing implementations, data exchange integrations, training, change management, and adoption of value-based care workflows to support Aledade's population health and ACO initiatives.

Lead Sales Engineering & Effectiveness team to provide deal support, solution design, value calculations, and operational playbooks. Manage SMEs in analytics, payments, financial modeling, contracting, and deal desk operations; drive strategic opportunity identification, SLAs, tooling roadmap, executive deliverables, and cross-functional collaboration to accelerate growth.

Design, implement, and support Five9-based telephony and API integrations, lead contact center platform migrations and automation, manage SIP trunking and carrier connectivity, coordinate security and vendor assessments, monitor and troubleshoot telephony systems, and evaluate emerging AI and automation solutions to modernize contact center operations.

The Sr. Roster Administrator manages complex roster workflows for payers, ensuring compliance, resolves issues, and supports operational improvements.

As a Staff AI Researcher, you will develop AI solutions, work with complex data sets, redesign systems, and implement AI/ML techniques for health improvement.

Embed with product/tech cohorts to build plugins, skills, hooks, and connectors; integrate tools via MCP Gateway and AWS; productize reusable patterns to the plugin marketplace; mentor engineers, measure adoption, and support on-call for published artifacts.

Design, build, and maintain scalable, secure AI core platform and web/data pipelines. Drive observability, auth/network integrations, runtime scalability, AI/ML infra for LLMs, mentor engineers, partner across teams, and ensure PHI security and compliance.

Design, implement, and scale web and data pipeline solutions focused on generative AI and LLMs. Improve AI/ML infrastructure for model development, training, deployment, and prompt engineering. Partner with product and stakeholders to prioritize applied AI use cases, ensure PHI security and regulatory compliance, mentor junior engineers, and contribute APIs and integrations to embed generative AI into healthcare applications.

Embed with product/tech cohorts to build and ship Claude Code plugins, skills, hooks, and MCP integrations; generalize work into reusable platform artifacts; integrate services via the MCP Gateway and AWS; support adoption, documentation, and on-call for marketplace artifacts while partnering on security, auth, and observability.