Top Natural Language Processing Jobs in Denver & Boulder, CO

As QA Engineering Manager, you will define QA strategies, manage a QA team, and integrate testing into product release cycles while ensuring compliance and quality standards are met.

Embed in Research to drive end-to-end delivery of STT/TTS model versions and features. Map dependencies and risks, run cross-functional programs, establish lightweight processes, and communicate status across Research, Product, DataOps, and Engineering to ensure timely launches.

The Revenue Operations Analyst supports quote-to-cash processes, manages Salesforce administration, reconciles data, and identifies operational efficiencies at Deepgram.

The Senior ABX Manager will design and execute account-based marketing programs for strategic accounts, collaborating with sales to drive engagement and revenue.

Deliver tailored live training sessions and workshops for clients on using EliseAI products effectively, while collecting feedback and improving internal programs.

The Oncology Field Medical Outcomes Director educates integrated customers on the impact of oncology products, executes medical strategies, collaborates with internal teams, and analyzes healthcare data to improve patient outcomes.

The Video Editor will create and manage direct-response ads for social media platforms, focusing on editing videos and designing graphics to enhance conversion efforts while adhering to brand guidelines.

The Enterprise Account Executive will drive sales by managing the sales process, generating new business, engaging with prospects, and achieving revenue targets.

The Enterprise Account Executive will drive enterprise sales, meet quotas, work with leadership on sales goals, and represent Kustomer as a thought leader in the market.

The role involves architecting QuillBot's AI systems, leading R&D and Applied AI teams, and integrating cohesive workflows across products. Responsibilities include designing agent-driven systems, optimizing performance, and aligning cross-functional teams for effective execution.

The role involves overseeing a digital contact center platform, implementing AI and automation strategies, and advising stakeholders on performance and integration.

The Senior Machine Learning Engineer will enhance AI capabilities for defense applications, collaborate on ML models, optimize data processing, and ensure security in high-stakes environments.