Top Natural Language Processing Jobs in Denver & Boulder, CO

The Engineering Manager will lead a team developing web applications and AI tools, optimizing product-led growth strategies and enhancing the developer experience.

The Senior Accountant will manage the monthly close, reconciliations, journal entries, and audit preparations while integrating AI tools to streamline tasks.

The Director of Tax will establish the tax function, manage compliance, oversee audits, and develop international tax strategies while utilizing AI tools and building a team.

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 at Superhuman drives Coda Docs sales within enterprise clients, managing complex deals and collaborating across teams to achieve revenue targets.

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.