Top Natural Language Processing Jobs in Denver & Boulder, CO

Manage localization workflows for product UI, coordinate between teams, support best practices, and improve operational processes while overseeing quality and timelines.

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

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.

Lead the design and implementation of ML training systems, manage a team, promote engineering culture, and drive product development.

Drive enterprise sales by identifying and closing deals with restaurant operators, managing complex sales cycles, and building executive relationships.

Lead optimization and experimentation for Pfizer's HCP web properties (primarily PfizerPro). Develop experimentation roadmaps, run A/B and multivariate tests, analyze web and business metrics, partner with UX, analytics, and strategy to translate insights into product and design improvements, and adopt AI-enabled tools to scale personalization and accelerate test velocity while maintaining rigorous measurement.

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.

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.

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.

Own the full enterprise sales cycle for developer-focused SaaS, drive revenue to hit targets, gather customer feedback for product, build repeatable scalable processes, and help hire and define the future sales team.

As a Solutions Architect, you will design and optimize customer solutions for deploying LiteLLM, collaborating with customers and engineering teams to ensure successful implementations.

Manage and grow customer accounts, focusing on retention and upselling while collaborating with teams to drive product usage and success.

Lead and deliver end-to-end quality engineering solutions: define test strategy, design and implement scalable automation, integrate testing into CI/CD, run functional/non-functional testing (performance, security, data, AI/ML), manage workstream QE planning and execution, communicate risks and readiness to stakeholders, and mentor/coach engineers while contributing to QE practice improvements.