Top Natural Language Processing Jobs in Denver & Boulder, CO

Supports Pfizer CentreOne’s inside sales and marketing activities by reviewing and routing marketing-qualified leads, executing outreach sequences, documenting activity in Salesforce, and assisting with campaigns, content, meetings, reporting, and marketing projects. The role develops commercial expertise across marketing, inside sales, and business development while progressing leads toward initial meetings and BD handoff.

Build Deepgram’s social, new media, and creator program from the ground up. Define channel strategy, goals, measurement, workflows, and publishing systems across LinkedIn, X, Instagram, YouTube, and emerging platforms. Lead social-first content and short-form video, employee advocacy, executive social, creator partnerships, community amplification, and brand execution during a rebrand. Collaborate with marketing, communications, DevRel, creative teams, executives, and product marketing while using data and AI tools to improve performance.

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 lifecycle email and in-app campaigns for portfolio products using Iterable and HubSpot. Build, schedule, test, and optimize customer journeys; coordinate cross-functional marketing projects; develop A/B tests; analyze campaign performance; improve execution systems and processes; and support cross-product adoption across Superhuman’s product suite.

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.

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.

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 the architecture and roadmap for Salesforce and connected revenue applications. Lead complex customizations, integrations, security models, release processes, and technical standards. Translate revenue-team needs into scalable solutions, evaluate vendors and technology stacks, troubleshoot critical issues, and reduce technical debt. Mentor developers and administrators, influence cross-functional stakeholders, and guide adoption of automation, AI, and new platform capabilities across global revenue operations.

Own cross-functional Customer Success and Revenue Operations programs from requirements gathering through launch and handoff to business-as-usual operations. Drive process and technology changes across onboarding, adoption, renewals, and customer health programs. Coordinate Salesforce, Gainsight, Gong, RevTech, admins, developers, and business stakeholders. Manage timelines, UAT, training, communications, executive decisions, adoption measurement, KPIs, and business outcomes.

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.

Develops net-new business and manages the full B2B sales cycle for translation, localization, language technology, and AI-enabled solutions. Responsibilities include prospecting, discovery, solution development, proposals, RFP responses, pricing, negotiation, contracting, forecasting, and post-sale handoff. Builds client relationships, maintains sales pipelines, coordinates cross-functional teams, represents the company at industry events, and achieves revenue and activity targets within an assigned U.S. territory.