Top Natural Language Processing Jobs in Denver & Boulder, CO

Lead Pfizer's Rare Disease Health IT strategy and customer engagement with leading health systems in the Southeast. Advise on EHR-enabled tools (CDS, order sets, patient portals), support account teams, influence Health IT strategy and governance, attend HIT conferences, and travel up to 35% to advance population health and care management initiatives.

Take Deepgram's speech models and optimize, compile, and run them on resource-constrained embedded and edge hardware. Work across model compression, runtime performance (C/C++/Rust), RTOS/bare-metal and embedded Linux environments, vendor NPUs/DSPs and inference runtimes, benchmarking, deployment pipelines, OTA updates, and partner with silicon vendors to enable real-time, low-power on-device voice experiences.

Lead Deepgram's demand-generation function end-to-end: set strategy, build an AI-native repeatable demand system, run integrated performance campaigns (paid, web, events, field), partner with Sales and RevOps to convert leads to revenue, hire and grow a high-performing team, and establish attribution and reporting that ties spend to pipeline and revenue.

The CS Operations Manager will manage the operational infrastructure for renewal programs, including program design, process configuration, and cross-functional collaboration with teams like Sales and Marketing.

Own and build Hebbia's APAC sales presence from Singapore: manage full enterprise sales cycles, develop relationships with institutional investors, shape regional GTM strategy, represent the product at events, and hire a regional 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 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.

Lead design, administration, and governance of GTM variable compensation plans; model compensation and headcount scenarios; partner with Finance, HR, and Sales Enablement; own plan rollout, system configuration, and exception handling; and act as RevOps lead for post-close GTM M&A integrations, playbooks, data mapping, and risk tracking.

Design, build, validate actuarial and analytic models; develop processes for business operations, financial reporting, and MAPD bids; perform deep-dive ad hoc analyses; translate ambiguous problems into structured methodologies; present results to stakeholders and manage analytic projects end-to-end.

The Director of Data Science leads multiple teams, focusing on Azure architecture and cloud modernization, while mentoring architects, promoting a strong engineering culture, and connecting business goals to technical solutions.

Lead solution architecture and technical strategy for large-scale Azure modernization engagements from presales through delivery. Define reusable reference architectures and frameworks, mentor architects and engineering teams, conduct design reviews, support presales and proposals, identify cross-project patterns for shared IP, and manage workload to meet utilization and sales targets.