Top Natural Language Processing Jobs in Denver & Boulder, CO

Owns Deepgram’s North American events and field marketing portfolio, including 20+ trade shows, conferences, partner programs, executive events, roadshows, and account-based initiatives. Responsibilities include event strategy, budgeting, vendor and contract management, partner funding, brand activations, sales enablement, pipeline attribution, lead routing, ROI analysis, and post-event reporting. The role partners closely with Sales, Demand Generation, Product Marketing, alliances, and Marketing Operations, while developing AI-powered workflows and supporting the Deepgram Speak event series.

Supports and maintains enterprise customer web integrations using Smartling’s web proxy solution. Owns technical tickets, troubleshoots browser and network issues, leads customer workshops, creates diagnostic scripts and tooling, manages production configuration changes, and collaborates with Engineering on product fixes. The role requires strong web technologies, debugging, communication, and customer-facing technical consulting skills.

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.

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.

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.

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.