Top Tech Jobs & Startup Jobs in Austin, TX

Lead analytics-focused product work: define vision, scope, and roadmaps; write user stories and requirements; manage sprints and stakeholders in Jira; support analytics teams to deliver scalable, high-impact data products for healthcare value-based care.

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.

As Manager of Sales Effectiveness, you will support enterprise sales through data-driven strategies, financial modeling, and collaboration with multiple teams to enhance Aledade's growth and improve communication of value proposition for healthcare solutions.

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.

Support Practice Success by collecting, analyzing, and reporting operational health data; build dashboards and visuals; maintain project plans and trackers; map processes and identify workflow improvements; coordinate stakeholders and provide day-to-day project support to drive execution.

As a Principal Technical Product Manager, you will lead the AI Platform team's roadmap, working with AI engineers and data scientists to optimize AI solutions and improve patient care through technology.

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.