Top Natural Language Processing Jobs in Denver & Boulder, CO

Lead Deepgram’s corporate legal function, including governance, IPO readiness, financings, M&A, employee equity, international subsidiaries, and regulatory developments. Partner with Finance, People, and company leadership to build scalable legal processes for a fast-growing AI company. Establish an AI-native legal practice while advising on a broad range of startup legal matters.

Develops and commercializes partner-built solutions across the Superhuman Suite. Responsibilities include shaping joint value propositions, creating pitch and demo assets, enabling alliance managers and partners, packaging repeatable solutions, coordinating launches, supporting partner growth, and tracking post-launch performance. The role works across Alliance Programs, Partner Marketing, Technical Alliances, Product, and solution architecture, with approximately 25% international travel.

Manage Zocks’ frontline Enterprise and SMB Support Specialists, overseeing hiring, onboarding, staffing, ticket-volume forecasting, work assignments, KPIs, QA, escalations, and performance management. Develop scalable support processes, maintain service quality, coach team members, and partner with technical, premium, and cross-functional teams. The role requires strong SaaS support leadership, security awareness for wealth-management clients, and at least three days per week in the Denver office.

Develop product launch narratives and messaging that connect with customers and prospects. Create demos, case studies, webinars, campaigns, web content, and customer stories. Partner cross-functionally with product, sales, and customer success to ensure consistent positioning. Conduct customer and prospect research, identify market trends, and use data-driven insights to strengthen product marketing strategy.

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.

Lead an established RevOps and Enablement team to sharpen analytics, harden systems and data architecture, and scale AI-first workflows across Sales, Marketing, and CX. Own revenue tech stack, forecasting, GTM reporting, process optimization, and enablement programs while partnering with executive leadership to drive measurable revenue outcomes.

Own go-to-market positioning, messaging, campaigns, launches, competitive analysis, and customer insight programs for AlphaSense’s Expert Call Services. Partner with product, revenue, enablement, expansion, adoption, and business teams to drive awareness, cross-sell, call volume, pipeline, revenue, and product adoption. Track performance metrics and recommend improvements as the offering evolves.

Enterprise Account Executive responsible for acquiring Fortune 500 customers, managing full enterprise sales cycles, exceeding bookings targets, and closing multimillion-dollar software agreements. The role requires educating executives on AI, RAG, and agentic frameworks; developing qualified pipelines; conducting consultative selling; creating proposals and presentations; managing RFI/RFP responses; and building relationships with customers and partners.

Leads end-to-end healthcare technology implementations from kickoff through go-live, managing timelines, budgets, resources, risks, integrations, training, operational readiness, and transition to Customer Success. Provides strategic direction, coaches cross-functional teams, coordinates clients and vendors, oversees implementation methodologies, resolves impediments, and drives process standardization and continuous improvement across complex health plan programs.

Owns the company’s finance and accounting operations, including bookkeeping, reconciliations, payroll coordination, invoicing, financial modeling, and vendor accounting relationships. Also manages HR administration, employee support, legal and compliance coordination, office operations, executive support, recruiting coordination, and vendors. The role requires strong attention to detail, judgment, urgency, and broad ownership across startup operations.