Top Natural Language Processing Jobs in Denver & Boulder, CO

Lead top-of-funnel and brand advertising strategy, budgets, media planning, agency relationships, creative execution, and measurement across Grammarly and Superhuman’s multi-brand portfolio. Manage TV, CTV, OOH, digital video, influencer, and audio investments; partner with data science on incrementality and brand lift; develop strategic frameworks; and lead, mentor, and grow a team of brand advertising marketers.

Own technical go-to-market enablement for pre-sales and post-sales teams. Build onboarding, ramp programs, technical frameworks, playbooks, certifications, launch readiness, and scalable guidance from subject-matter expertise. Partner with Product, Applied Engineering, Customer Success, Sales, and PMM to improve technical discovery, evaluations, architecture guidance, handoffs, escalations, and customer readiness. Use AI, scripts, agents, and workflows to eliminate recurring work and scale enablement.

Own end-to-end localization operations for enterprise clients, serving as the primary operational contact and trusted advisor. Coordinate stakeholders and cross-functional teams, manage localization workflows and configurations across TMS and project tools, resolve client and internal issues, and improve processes through documentation, automation, and AI-enabled solutions. The role requires localization or translation project management experience, client communication skills, familiarity with localization formats and CAT/TMS tools, and strong organizational abilities.

Work through a backlog of unconverted marketing leads using phone, AI-assisted LinkedIn prospecting, and persistent outreach. Qualify prospect interest, arrange well-prepared handoffs to Account Executives, maintain accurate CRM records, and share prospect feedback with Sales and Marketing. The role primarily targets financial advisors and wealth management professionals and focuses on increasing marketing-lead conversion.

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 from prospecting through close, targeting CISOs, CIOs, General Counsels, and other stakeholders. Build strategic account plans, generate outbound pipeline, demonstrate forensic watermarking technology, navigate complex organizations, exceed revenue quotas, and provide market feedback to product teams. As an early go-to-market hire, contribute to developing the sales playbook in a fast-paced startup environment.

Lead strategic sourcing and procurement for professional services categories, including consulting, marketing, legal, communications, and other external services. Manage end-to-end procurement, RFPs, vendor negotiations, category strategies, contracts, supplier performance, compliance, savings initiatives, and purchase-to-pay processes. Collaborate with FP&A, Accounting, Legal, and business stakeholders while maintaining documentation, controls, and performance reporting.

Manage marketing operations supporting global digital and field campaigns. Responsibilities include maintaining Marketo lead lifecycle processes, configuring Salesforce and Marketo campaigns, building audiences and nurture programs, monitoring data quality and email overlap, managing privacy compliance, maintaining forms and templates, importing lists, and coordinating Agile Scrum work with stakeholders.

Manage a portfolio of corporate accounts, focusing on retention, renewals, product adoption, and expansion revenue. Build relationships with users and executive stakeholders, identify churn risks and growth opportunities, forecast retention, conduct business reviews, and collaborate with Account Executives. Serve as a client advocate, gather product feedback and customer success stories, and communicate insights internally to support product, marketing, and sales strategies.

Own end-to-end client relationships for a book of B2B SaaS customers: drive adoption, engagement, retention, and expansion of AI-powered contract drafting tools. Lead onboarding, training, large-scale rollouts, and translate customer feedback into product improvements while designing scalable CS processes and tracking health metrics to demonstrate value.