Top Natural Language Processing Jobs in Denver & Boulder, CO

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

As a Customer Success Engineer, you'll drive adoption and satisfaction for enterprise customers using Deepgram's voice AI technology, fostering strong relationships and aligning technical solutions with business objectives.

Manage a team of Senior Oncology Account Specialists, oversee sales performance, implement strategic plans, and maintain strong relationships with stakeholders in the oncology field.

Lead and mentor a team of engineers to design, implement, and maintain scalable, enterprise-grade services. Drive architecture decisions, conduct code and architecture reviews, define testing strategies, collaborate cross-functionally, engage with clients on complex technical issues, and continuously improve development processes and tooling.

The role involves leading enterprise transformation projects in telecom, managing delivery portfolios, ensuring alignment with corporate strategies, and engaging with stakeholders.

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

Lead research on large language models to address healthcare challenges, collaborating with teams to enhance model performance and ensure real-world applicability.

Freelance interpreter pool: remote or onsite, project-based work with variable hours. Requires native-level fluency in a non-English language, 3–5 years in simultaneous or consecutive interpretation, strong English communication, reliable internet and high-quality remote equipment. Localization experience preferred. US work authorization required; Welocalize does not sponsor visas.

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.