Top Natural Language Processing Jobs in Denver & Boulder, CO

Manage a portfolio of Superhuman Docs accounts to drive adoption, retention, and expansion. Act as a trusted advisor, run account reviews, build feedback loops to inform product roadmap, design change management and enablement programs, and collaborate cross-functionally to deliver customer value and identify upsell opportunities.

Lead optimization and experimentation for Pfizer's HCP web properties (primarily PfizerPro). Develop experimentation roadmaps, run A/B and multivariate tests, analyze web and business metrics, partner with UX, analytics, and strategy to translate insights into product and design improvements, and adopt AI-enabled tools to scale personalization and accelerate test velocity while maintaining rigorous measurement.

Design and implement secure, scalable backend services for voice agents, integrate AI models and telephony, improve inference, debug concurrent systems, and collaborate with Product to deliver features end-to-end.

Own and build Hebbia's APAC sales presence from Singapore: manage full enterprise sales cycles, develop relationships with institutional investors, shape regional GTM strategy, represent the product at events, and hire a regional team.

Deliver tailored live training sessions and workshops for clients on using EliseAI products effectively, while collecting feedback and improving internal programs.

Partner with enterprise financial firms to design and implement scalable practice management programs. Lead executive engagement, success roadmapping, content and curriculum development, and live facilitation. Drive adoption through program design, data-driven recommendations, and feedback to Product. Travel regularly to client sites and industry events to deliver sessions and represent Zocks as a subject-matter expert.

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.

The Enterprise Account Executive will drive sales by managing the sales process, generating new business, engaging with prospects, and achieving revenue targets.

Support and maintain go-to-market systems (CRM, CS platforms), build and troubleshoot workflows and automations, ensure data quality and integrations, produce reporting and dashboards, document processes, and drive automation and cross-functional operational improvements.

The Sales Compensation Manager will design and manage incentive plans for the sales organization, ensuring they are competitive and aligned with company strategy, while collaborating with various departments and providing detailed reporting.