Top Senior Level Natural Language Processing Jobs in Austin, TX

The Sales Compensation Manager will design and manage incentive plans for the sales organization, ensuring they are competitive and aligned with company strategy, while collaborating with various departments and providing detailed reporting.

The Senior Technical Support Engineer will troubleshoot and resolve production issues across customer environments, focusing on cloud infrastructure and data pipelines, while collaborating with Engineering for root cause analysis.

The Senior Full Stack Engineer will design, build, and scale healthcare integrations, ensuring high security and quality, while collaborating with cross-functional teams and supporting enterprise-level integrations.

Design, build, and scale integrations for healthcare applications, ensuring security and quality while collaborating with cross-functional teams.

The Sales Engineer will support pre-sales efforts and technical implementations, guiding clients with AI-driven market intelligence solutions while collaborating across teams to enhance product engagement and adoption.

The role involves building partnerships with brokers, enabling them to market Covera solutions, and influencing employer benefit decisions, demanding strong leadership and strategic skills in healthcare.

Optimize and scale search applications, implement performance monitoring, develop benchmarking frameworks, and ensure high availability of search services.

The Senior Consultant in AI will design, build, and deliver AI/ML solutions on Azure, engage with clients, and develop project components independently.

The Senior Product Manager will lead product outcomes for AI-driven tools in mortgage lending, engage with customers to identify workflow pain points, prioritize requirements, collaborate with engineering, and ensure product adoption.

Manage logistics partnerships and optimize fulfillment solutions, ensuring compliance and performance benchmarks while enhancing customer experience through data-driven strategies.

The Implementation Manager leads client onboarding and implementation processes, ensuring effective use of Level AI products to enhance customer experiences while maintaining key client relationships and project management.