Top Natural Language Processing Jobs in Denver & Boulder, CO

Leads internal communications for a rapidly scaling, distributed technology company. Builds communication systems, channels, and cadences; partners with executives on employee messaging; translates complex business and technical information; supports culture, employee experience, company narrative, and major company moments; and uses data and AI to improve communication effectiveness.

Partner with enterprise financial firms to design and implement scalable practice management programs. Lead executive engagement, success roadmapping, content and curriculum development, and live facilitation. Drive adoption through program design, data-driven recommendations, and feedback to Product. Travel regularly to client sites and industry events to deliver sessions and represent Zocks as a subject-matter expert.

Lead full-cycle B2B sales growth across K12 and higher education markets. Manage pipelines, territory strategy, consultative selling, enterprise negotiations, RFPs, procurement, forecasting, and quota attainment. Coach sales teams, present AI-enabled education solutions to institutional leaders, navigate privacy and compliance concerns, and collaborate with Customer Success, Product, and Marketing.

Leads the technical direction, architecture, and delivery of developer-facing desktop, web, and MCP surfaces for Pfizer’s internal developer platform. Provides hands-on software engineering leadership, ensures secure and privacy-first designs, guides cross-team delivery, mentors engineers, oversees code quality and DevOps practices, and leads incident response and continuous improvement. The role influences teams without direct reports and requires expertise across frontend, desktop, backend, developer tooling, enterprise software delivery, and technical architecture.

Own end-to-end localization operations for enterprise clients, serving as the primary operational contact and trusted advisor. Coordinate stakeholders and cross-functional teams, manage localization workflows and configurations across TMS and project tools, resolve client and internal issues, and improve processes through documentation, automation, and AI-enabled solutions. The role requires localization or translation project management experience, client communication skills, familiarity with localization formats and CAT/TMS tools, and strong organizational abilities.

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.

Performs standardized content curation and metadata validation for written and audio content. Reviews accuracy and completeness, applies guideline-based corrections, documents defects in internal tools, escalates unclear or high-impact issues, and manages assigned queues to meet productivity and SLA targets. The role requires careful adherence to procedures, confidentiality and security practices, attention to detail, participation in calibration and training, and comfort reviewing potentially sensitive content.

Coordinates customer education initiatives across Product, Product Marketing, and Customer Education. Translates roadmap and launch updates into asset requirements, manages content across education channels, maintains templates and workflows, uses AI to automate repetitive tasks, aligns stakeholders, identifies risks, and supports deadlines and prioritization.

The Staff Quality Engineer will establish testing strategy, expand scalable end-to-end automation, close coverage gaps, and define quality metrics and release gates. They will test AI-powered features, collaborate with developers on test planning, use AI tools for testing and triage, and coach engineering teams on quality-by-design practices. The role requires influencing multiple teams independently without a dedicated QE team or manager.

Owns the end-to-end development, testing, launch, monitoring, and maintenance of Gainsight CSP playbooks, health rules, and human handoff alerts. Partners with lifecycle marketing, Customer Success, and RevOps on data architecture, integrations, quality standards, documentation, and troubleshooting. The role ensures scalable, accurate, auditable customer lifecycle automation and serves as the Gainsight subject matter expert for Customer Marketing initiatives.

You will execute and improve insurance workflows, analyze operational efficiency, collaborate with product teams, and support onboarding and documentation efforts.

Leads and scales the global Deal Desk function for a SaaS company. Owns commercial strategy, pricing governance, approvals, order forms, complex enterprise transactions, marketplace private offers, and quote-to-cash process improvements. Manages and mentors a team while partnering with Sales, Legal, Finance, Revenue Operations, Product, and executive stakeholders. Oversees CRM and CPQ workflow optimization, reporting, KPI monitoring, and enablement to improve deal execution and commercial governance.