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

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

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 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 Hematology Thought Leader Engagement Lead will develop and execute engagement plans for key thought leaders in Hematology, collaborate with cross-functional teams, and gather insights to inform strategies for Pfizer's Hematology portfolio.

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

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.

Lead Abridge's federal policy and advocacy efforts in Washington, DC: develop policy positions, manage external lobbyists, build coalitions and relationships with Congress and federal agencies, monitor AI and healthcare legislation, and align policy strategy with product and commercial teams.

The Enterprise Solutions Engineer will partner with account executives to support technical strategies, deliver presentations, advise enterprise customers on AI-driven solutions, and ensure client satisfaction through ongoing relationship management.