Top Natural Language Processing Jobs in Denver & Boulder, CO

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 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.

Leads AI transformation, governance, quality oversight, risk management, and responsible adoption across Pfizer Global Supply and QSEO. Establishes GxP-compliant AI lifecycle practices, inspection-readiness frameworks, governance forums, portfolio monitoring, inventory management, metrics, and reporting. Advises senior leaders on AI regulations, deployment risks, investment priorities, and compliance while leading cross-functional initiatives and influencing stakeholders across Quality, Digital, Operations, and R&D.

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.

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.

Own end-to-end new business sales for AlphaSense’s financial services market, targeting hedge funds, asset managers, investment banks, and sell-side research teams. Responsibilities include prospecting, pipeline development, product demonstrations, trials, forecasting, relationship building, negotiation, and closing. The role partners with marketing and product teams, gathers customer feedback, and drives adoption. Candidates should have B2B SaaS sales experience, financial services contacts, a record of exceeding targets, strong communication skills, and the ability to travel for prospect meetings.

Acquire new Financial Services clients, including hedge funds, asset managers, investment banks, and sell-side research departments. Manage the full sales cycle from prospecting and relationship development through product demonstrations, trials, forecasting, and closing. Build territory pipeline, exceed sales targets, partner with marketing and product specialists, support user adoption, and relay market feedback to internal teams.

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.