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 outbound sourcing strategy across open roles, building passive-candidate pipelines from scratch through Boolean and X-ray search, LinkedIn Recruiter, and personalized outreach. Conduct candidate conversations, evaluate initial fit, and partner with hiring managers and leadership on search strategy. Manage searches end-to-end, adapt sourcing approaches, and represent Zocks to prospective candidates.

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 and expand enterprise sales across banking, financial services, and insurance accounts. Responsibilities include prospecting, qualifying, closing complex multi-stakeholder SaaS deals, managing strategic account pipelines, engaging C-suite buyers, navigating compliance and procurement, leading RFP/RFI responses, coordinating internal deal teams and partners, and developing industry relationships. Travel up to 50%.

Manage enterprise customer relationships throughout onboarding, adoption, renewal, and growth. Provide training, business reviews, success planning, ROI reporting, and escalation resolution while monitoring customer health and advocating for customer needs internally. Partner with sales, product, engineering, marketing, and support teams to improve retention and identify expansion opportunities. Serve as a subject matter expert on conversational and generative AI capabilities, integrations, APIs, and platform best practices.

Design and build production AI applications for enterprise clients, including data processing, retrieval, APIs, tools, integrations, evaluations, and deployment. Partner with client experts to improve system performance and reliability, support cloud, CI/CD, security, and operational processes, and communicate technical tradeoffs clearly. The role also involves automating internal workflows and helping clients adopt new AI-enabled ways of working.

Leads strategic provider and health system partnership development for selective market expansion. Responsibilities include identifying and cultivating executive relationships, analyzing market and financial opportunities, developing value propositions and business cases, structuring value-based care and joint-venture arrangements, managing partnership pipelines, and coordinating cross-functional teams through diligence, contracting, and execution. The role requires extensive healthcare business development experience, executive presence, managed care expertise, and travel up to 50%.

Drives new business, renewals, expansions, and multi-year contract awards with federal civilian agencies, primarily the VA and HHS. Builds consultative stakeholder relationships, translates mission needs into technology solutions, manages complex acquisition cycles and opportunity pipelines, forecasts accurately, and meets bookings and renewal targets. Partners with internal teams on customer onboarding, training, usage plans, and growth strategies. The role is based around Washington, DC, with approximately 25% domestic travel.