Top Natural Language Processing Jobs in Denver & Boulder, CO

Lead the product-led growth strategy for Deepgram's self-serve business, focusing on revenue growth, user experience, and cross-functional team alignment across marketing, product, sales, and engineering.

As a Staff Product Analyst, you'll define analytics strategies, build measurement infrastructure, design experiments, and partner with product teams to boost self-serve conversion and product adoption.

The FP&A Manager will lead revenue forecasting, support Go-To-Market strategies, utilize AI tools for efficiency, and drive performance insights across Sales and Marketing.

The Engagement Manager leads enterprise deployments of Superhuman's AI productivity platform, managing the project lifecycle from scoping to go-live, while collaborating with cross-functional teams and ensuring customer success.

As a Business Development Representative, you will qualify leads, work with sales and marketing to generate new opportunities, and manage the sales pipeline.

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

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.