Top Natural Language Processing Jobs in Denver & Boulder, CO

Lead design and delivery of an agent-based Intelligence Layer that autonomously analyzes product, usage, and revenue data. Build AI-augmented workflows, define semantic/data contracts, leverage voice models to extract insights from audio, advise CEO/Board on unit economics and NRR, and hire a small elite analytics engineering team.

The role involves owning the go-to-market strategy for TTS, defining its narrative, leading product launches, enabling sales, and collaborating across teams.

As a Partner Success Engineer at Deepgram, you will drive partner engagement, manage technical enablement, and ensure successful integration of AI solutions, while continuously optimizing workflows and fostering collaboration across teams.

As a Junior Research Enablement Engineer, you will develop tools for the LanguageAI research team, focusing on machine learning tasks. Responsibilities include designing applications, working with data services, conducting research, and enhancing product quality.

The CS Operations Manager will manage the operational infrastructure for renewal programs, including program design, process configuration, and cross-functional collaboration with teams like Sales and Marketing.

The Senior Oncology Account Specialist promotes Pfizer products to healthcare providers, educates on proper usage, and strengthens brand presence with target customers while managing account relations to enhance patient care quality.

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

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

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 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.

As a Customer Success Engineer at Algolia, you will ensure customer adoption and success of the search platform by providing technical onboarding, solution design, and support. You will advise customers on best practices, deliver workshops, and collaborate with internal teams to improve customer experience and outcomes.

The Principal Engineer, AI Architect will design and implement Generative AI solutions, lead engineering teams, and shape the AI vision.