Top Natural Language Processing Jobs in Denver & Boulder, CO

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 Customer Success Associate manages 90+ commercial accounts, leveraging automation and data to ensure customer health, drive engagement, and handle renewals.

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.

Own and grow Hebbia's Middle East enterprise sales: prospect, run demos, negotiate and close large deals with sovereign wealth funds, asset managers, banks and PE/VC; build regional pipeline, represent the company at events, partner on technical evaluations, inform product and GTM strategy, and hire a regional team.

Lead post-launch lifecycle, adoption, stabilization and continuous optimization of the CFC CRM platform across global markets. Own BAU roadmap, operational governance, integrations, release readiness, value measurement, and cross-functional orchestration with Data, Digital, Compliance, and Markets to ensure CRM delivers sustained commercial value and scalability.

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

The Sr. Machine Learning Engineer will develop and deploy ML solutions for healthcare, manage data pipelines, and work with large datasets to enhance healthcare delivery.

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.

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

The Forward Deployed Engineer at Kore.ai will solve complex enterprise AI challenges, architect solutions, and lead engagements with Fortune 500 clients, ensuring successful deep integrations and deployments.