Top Remote Artificial Intelligence Project Management Jobs in Austin, TX

Lead and manage multiple hardware and software product implementations end-to-end: project planning, deployment execution, customer training, milestone delivery, cross-functional coordination, process optimization, and handoff to clinical success teams.

The Senior Project Manager leads enterprise SaaS deployments for financial clients, managing project execution from planning to implementation and ensuring client satisfaction.

Manage localization workflows for product UI, coordinate between teams, support best practices, and improve operational processes while overseeing quality and timelines.

Lead Upstart's business continuity and disaster recovery program, ensuring operational resilience and effective recovery from disruptive events, while collaborating with various departments.

The AWS Project Manager oversees the delivery of AWS projects, managing budgets, facilitating communication between teams, and providing technical advice to clients to meet business goals.

The Senior Project Manager will lead healthcare modernization initiatives for a federal client, overseeing multiple projects and managing cross-functional teams while ensuring alignment with program objectives and deliverables.

Lead deployment of new software solutions for rental industry, manage project timelines, budgets, communication, and ensure integration with existing systems.

The Senior Project Manager will oversee digital product and platform projects, liaise with clients, manage timelines, budgets, and coordinate between US and German teams.

The Technical Project Coordinator manages project implementations, ensuring timely delivery and customer satisfaction while facilitating communication among stakeholders and teams.

Lead end-to-end deployments of Hippocratic AI voice use cases for health plans from contract to go‑live. Manage timelines, configuration (dialer, routing, population filters), data onboarding with payer IT, stakeholder coordination across clinical and ops teams, and build a repeatable implementation playbook for scalable rollouts.