Top Natural Language Processing Jobs in Austin, TX

Seeking a Senior Software Engineer to design, implement, and operate scalable solutions in healthcare technology, requiring strong programming and communication skills.

Lead the strategy and execution of demand generation programs to drive qualified pipeline and revenue, collaborating with sales and marketing teams.

The Principal AI Evangelist & Strategic Architect will bridge engineering and market adoption, translating AI advancements into client value and influencing product strategy. Responsibilities include strategic vision creation, supporting key deals, collaborating on AI solutions, and establishing thought leadership.

The Senior Korean Linguist manages translation and copy-editing tasks, coordinates with freelancers, and ensures high-quality Korean-language deliverables while improving workflows and supporting quality efforts.

The French Linguist performs quality-control and translation tasks, manages language materials, ensures communication and adherence to quality standards, and interacts with clients.

The role involves proofreading and editing localized content, translating from English to native language, and testing UIs for functionality.

As a Full Stack Engineer, you will develop, prototype, and maintain server-side and user-facing code, collaborating with various teams to enhance products.

As a Customer Success Engineer, you'll drive adoption and satisfaction for enterprise customers using Deepgram's voice AI technology, fostering strong relationships and aligning technical solutions with business objectives.

Lead and manage Partner Managers to drive partner-sourced revenue, develop sales strategies, and foster relationships with distributors and resellers while ensuring alignment with company goals.

The Director, Sales will build relationships with healthcare executives, drive sales strategies, and lead the entire sales cycle to achieve targets.

The role involves architecting and developing Python-based data applications for business process automation, requiring collaboration and technical mentoring within a data engineering team.

Lead and manage data analysis projects at Pfizer, utilizing strong communication and analytical skills to improve processes and guide operational teams.