Top Natural Language Processing Jobs in Denver & Boulder, CO

Leads SMB and commercial sales strategy, revenue performance, team development, pipeline forecasting, enablement, hiring, and complex enterprise deals. Partners with Product, Marketing, Customer Success, and executive leadership to scale go-to-market execution, improve sales consistency, and drive customer expansion across a multi-product SaaS environment.

Leads measurement and product marketing for eight enterprise AI platforms. Builds shared KPI, taxonomy, scorecard, data-quality, and value-realization frameworks; translates usage and outcome data into executive insights and investment guidance. Oversees positioning, internal launches, campaigns, enablement, adoption, and audience segmentation. Partners across product, engineering, data, communications, and business teams while building and managing teams responsible for analytics, marketing, and communications.

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.

Leads Deepgram’s end-to-end Text-to-Speech research program, owning research strategy, technical direction, model development, evaluation, and production deployment. Advances neural audio modeling, prosody, expressiveness, multilingual generation, voice consistency, controllability, and inference performance. Builds and develops research teams, manages technical leaders, prioritizes experiments and compute, evaluates model quality, and partners with engineering and product leadership to ship production-grade models.

Own full-cycle recruiting across all company functions and experience levels. Responsibilities include posting jobs, screening applicants, building shortlists, coordinating interviews and debriefs, maintaining ATS data, partnering with hiring managers, improving recruiting processes, and delivering a strong candidate experience across multiple simultaneous searches.

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.

Own full-cycle recruiting for G&A functions including Legal, Finance, Marketing, and People. Develop recruiting strategies with hiring managers, source candidates, manage recruiting funnels in Ashby, deliver an excellent candidate experience, provide talent-market insights, build diverse talent communities, and support talent projects, conferences, and networking events.

Supports B2B marketing initiatives across content, events, presentations, digital channels, and marketing operations. Coordinates tradeshows, webinars, vendors, budgets, marketing materials, calendars, and internal stakeholders. Maintains website content, creates presentations and social posts, organizes marketing assets, tracks campaign performance, and summarizes insights. The role requires strong organization, communication, creativity, and hands-on execution skills, with experience using CRM, CMS, design, social media, and Microsoft Office tools.

Lead Algolia’s global brand strategy, positioning, voice, visual identity, campaigns, and brand activations. Build and manage an in-house creative team and agency portfolio, drive brand consistency across teams and partners, connect brand metrics to pipeline and revenue, manage the brand budget, and represent brand strategy to executive leadership. The role focuses on category creation for Retrieval Intelligence and measurable global brand growth.

Build and scale SambaNova’s analyst relations program across semiconductors, AI infrastructure, cloud, data centers, and enterprise technology. Develop analyst relationships, lead briefings and research engagements, prepare executives and technical experts, translate complex technology into credible narratives, track program impact, and incorporate analyst insights into product strategy, positioning, go-to-market planning, and executive decisions.

Own and grow SambaNova’s enterprise financial services sales business across major US banks, capital markets firms, asset managers, and insurers. Build executive relationships, manage complex infrastructure and platform pursuits, lead technical and commercial validation, navigate financial-sector governance requirements, drive negotiations and production deployments, maintain forecast accuracy, and develop a scalable segment playbook. The role requires deep enterprise technology sales experience, strong financial services relationships, AI infrastructure fluency, and executive presence.