Top Natural Language Processing Jobs in Denver & Boulder, CO

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.

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.

Lead post-launch lifecycle, adoption, stabilization and continuous optimization of the CFC CRM platform across global markets. Own BAU roadmap, operational governance, integrations, release readiness, value measurement, and cross-functional orchestration with Data, Digital, Compliance, and Markets to ensure CRM delivers sustained commercial value and scalability.

Field-based pharmaceutical sales role focused on driving territory sales for a neuroscience (migraine) therapy. Build and maintain customer relationships face-to-face and virtually, execute territory call plans, use analytics and digital tools to identify opportunities, educate providers compliantly on product and disease state information, collaborate cross-functionally, and complete administrative tasks on time.

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

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 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.

Serve as a strategic talent partner to business leaders, shape workforce planning and sourcing strategies, use market data and AI to inform hiring, influence leadership decisions, and design candidate experience and pipelining for hard-to-fill roles.

Evaluate and verify claims using online evidence, assess source credibility and conflicting information, assign accuracy ratings, and document evidence-based conclusions following project guidelines to improve AI-generated content accuracy.

Freelance SEO Specialist responsible for keyword research and planning, metadata and content optimisation, on-page SEO, multilingual keyword translation (Lithuanian↔Bosnian, Lithuanian→English), data handling, SEO copywriting, and use of analytics and third-party SEO tools to improve search performance.

Translate and copy-edit patent documents from English to Mongolian in biology and chemistry, perform linguistic quality assessments, ensure terminology and style consistency, use CAT tools (XTM), produce quality reports, and follow client glossaries and guidelines.

Build and scale DraftWise's recruiting function from 0->1: own full-cycle hiring (initial focus on GTM), partner with founders and leaders on hiring strategy, source candidates, design recruiting processes and candidate experience, track hiring metrics, support employer branding, and lay groundwork for people operations and future recruiting leadership.

Design and implement front-end features, build high-quality user interfaces, take ownership of product and architecture decisions, collaborate with engineering team, and deliver performant, user-focused solutions.

Senior backend engineer responsible for designing and implementing new features, scaling and optimizing the platform, improving Postgres and Elasticsearch performance, fine-tuning LLMs, and making architectural decisions. Collaborate with engineering team, take ownership of features, write performant, maintainable code, and help shape product and infrastructure for data-intensive applications (NLP, search, indexing).