Top Natural Language Processing Jobs in Denver & Boulder, CO

Leads Pfizer’s global Product & Delivery practitioner community, overseeing governance, engagement, capability-building programs, learning pathways, events, knowledge management, and maturity measurement. Builds alignment across a complex matrixed organization, influences senior leaders, advances product, delivery, CX, Agile, and AI-enabled practices, and leads a small team and distributed community network. Owns enterprise programming, adoption, impact metrics, and organizational change through storytelling, executive presence, and practitioner advocacy.

Lead technical sales for Deepgram’s Voice Agent platform, owning discovery, architecture, proofs of concept, technical evaluations, and customer production launches. Partner with account executives on enterprise deals, carry a growth quota, build demos and integrations, develop sales enablement, provide product feedback, and collaborate with telephony, contact center, and LLM partners. The role requires deep voice-agent expertise across telephony, orchestration, streaming pipelines, and speech and language models.

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.

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.

Own full-cycle enterprise sales across Fortune 500 accounts, from prospecting and executive discovery through negotiation and multimillion-dollar contract close. Build pipeline, develop account and territory plans, lead complex MEDDPICC sales cycles, present AI-driven business cases, and coordinate solution consultants, partners, customer success, and marketing. Co-sell with Microsoft, AWS, systems integrators, and consulting firms while securing net-new logos and transitioning customers for expansion.

Drafts, reviews, and negotiates complex data, content, licensing, distribution, vendor, and supplier agreements. Advises internal teams on intellectual property, data and content rights, AI and machine learning use cases, privacy, regulatory compliance, and commercial disputes. Partners with Content, Sales, Marketing, Finance, and Product teams; develops policies, playbooks, and project plans; monitors evolving AI and data regulations; and provides broader corporate legal support.

Evaluates and integrates financial datasets and content for an AI-powered market intelligence platform. Leads vendor due diligence, data trials, proofs of concept, quality and coverage assessments, business cases, licensing strategies, competitive research, and content roadmap development. Partners with engineers, content leaders, partnership managers, and vendors to identify high-impact investment research data and AI workflow opportunities.

Review and negotiate commercial contracts, identify risks and unusual terms, and collaborate with legal teammates on complex clauses. Improve contract-review workflows by codifying recurring agreements, building playbooks, and identifying process efficiencies. Partner with engineering and operations to advance AI-enabled legal service delivery while maintaining high-quality client outcomes.

Own weekly product launches from positioning through post-launch adoption, creating launch assets, enablement, campaigns, and performance analysis. Build Enterpret’s PLG activation flow across email and in-app experiences, define activation metrics, run experiments, improve onboarding, and identify sales-ready accounts. Partner cross-functionally with product, design, sales, and customer success while using AI tools, lifecycle platforms, and product analytics to accelerate execution.