Top Natural Language Processing Jobs in Denver & Boulder, CO

Own brand and product writing across campaigns, launches, and user touchpoints. Translate complex AI and product functionality into clear, compelling language; shape content strategy; collaborate with Product, Engineering, Marketing, Legal, Design, and Research; manage multiple projects; advocate for users; elevate writing quality; and mentor other writers.

As a Pre-Sales Solutions Engineer, you will drive technical pre-sales engagements, architect custom solutions, and guide customers on API integration and deployment strategies, enhancing their experience with Voice AI technologies.

Supports enterprise and mid-market sales by creating customized demonstrations, presenting SaaS solutions, managing pilot implementations, resolving customer issues, and identifying expansion opportunities. Builds customer relationships, provides support, gathers product feedback, and improves internal tools and processes. Requires technical sales experience, website technologies, CMS platforms, databases, REST APIs, and solution-selling expertise.

Build and deliver scalable onboarding, education, and adoption programs for SMB customers. Monitor account portfolios, improve configuration and product usage, conduct advisory sessions, track adoption metrics, develop data-driven playbooks, optimize onboarding experiences with Product, create training content, and identify customer expansion opportunities with Sales and Account Management.

Own complex technical support issues from reproduction through resolution, troubleshooting APIs, webhooks, workflows, integrations, and AI agent behavior. Escalate well-documented issues to Engineering, identify recurring patterns, and partner on product improvements. Create runbooks and troubleshooting guides, coach Tier 1/2 and BPO teams, support critical incidents and premier accounts, participate in on-call rotation, and handle sensitive customer data appropriately.

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.

Leads AlphaSense’s integrated campaign strategy and operating framework across the marketing organization. Defines campaign theses, audiences, channel mix, budgets, measurement models, planning standards, and governance. Drives adoption, cross-functional accountability, execution quality, and continuous optimization. Partners with product marketing, demand generation, ABM, brand, content, communications, events, international, customer marketing, sales, and marketing operations to connect campaigns with pipeline, revenue, and business outcomes.

Own journal entries, balance sheet reconciliations, month-end close, consolidated financial statements, intercompany accounting, foreign currency processes, and internal controls. Analyze variances, maintain accounting systems and policies, and support financial reporting. Lead close activities in Numeric and NetSuite while partnering with technology teams to implement AI-enabled automation and scalable accounting workflows.

Drive enterprise business development for life sciences localization services, managing prospecting, account planning, RFPs, proposals, negotiations, forecasts, and closing. Build relationships with pharmaceutical, CRO, and medical device clients; develop territories and opportunities; collaborate with marketing, operations, production, and leadership; and achieve new-business revenue targets. The role requires approximately 30% travel to customer visits and industry events.

Build and manage enablement programs for post-sales teams including Customer Success, Renewals, Professional Services, Solutions, and Support. Own the enablement roadmap, translate product launches into field readiness, develop customer-facing skills, improve tool adoption, coach managers, measure program effectiveness, and apply generative AI responsibly.