Top Natural Language Processing Jobs in Denver & Boulder, CO

The Business Development Representative engages with potential customers, qualifying leads and supporting sales efforts while managing prospect information in Salesforce.

The Director of Tax will establish the tax function, manage compliance, oversee audits, and develop international tax strategies while utilizing AI tools and building a team.

The Engineering Manager will lead a team developing web applications and AI tools, optimizing product-led growth strategies and enhancing the developer experience.

The Director will lead technical accounting and financial reporting, preparing for audits and IPO readiness, managing external auditors, and developing accounting policies while leveraging AI tools.

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.

Lead demand generation programs for Superhuman Mail, collaborating with Sales and other teams to drive marketing-sourced pipeline growth through integrated campaigns, optimization, and performance analysis.

Own and grow Hebbia's Middle East enterprise sales: prospect, run demos, negotiate and close large deals with sovereign wealth funds, asset managers, banks and PE/VC; build regional pipeline, represent the company at events, partner on technical evaluations, inform product and GTM strategy, 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.

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.

Lead architecture and implementation of reliability platforms and SRE practices for a production SaaS. Build self-service reliability tooling, drive AIOps automation, advance observability (monitoring, tracing, profiling), lead incident response and postmortems, mentor engineers, and embed production readiness across teams to achieve 99.99% uptime.

The Senior Consultant in AI will design, build, and deliver AI/ML solutions on Azure, engage with clients, and develop project components independently.

Lead end-to-end technical programs for ML infrastructure (inference, serving, efficiency, endpoints). Coordinate cross-functional teams, prioritize overlapping projects, manage timelines, budgets and scope, drive incident management and continuous improvement, and communicate status to engineering and leadership.