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The Senior Technical Product Manager will oversee Salesforce platform management, focusing on AI solutions to improve customer operations, collaborating with teams to design features and drive product strategy.

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.

The Learning Experience Design Specialist designs engaging, research-based learning experiences for primary care practices, focusing on technology adoption and workflow support while collaborating across teams.

The role involves overseeing Aledade's Salesforce platform for the Growth team, optimizing user workflows, gathering requirements, and aligning solutions with business objectives.

Lead two adjacent engineering teams (~7 engineers) building developer-centric AI tools and production EHR browser agents. Drive delivery, hiring, onboarding, cross-team coordination, operational rhythms, and stakeholder communication while ensuring platform, security, and product alignment in regulated healthcare contexts.

Lead internal AI product strategy and operating model: set priorities for knowledge/context layers, reusable skills/agents, governance and trust, adoption and L&D strategy, partner with engineering, security, legal, and stakeholders to scale safe, company-wide AI practices and measure impact.