Top Natural Language Processing Jobs in Denver & Boulder, CO

Build AI-powered workflows, agents, integrations, and internal tools that automate People Operations. Partner with People, Engineering, and IT to modernize onboarding and other employee processes, while implementing secure access controls, human oversight, escalation paths, and production-ready architectures. Prototype with users, iterate quickly, and measure improvements in efficiency, employee experience, and operational consistency.

Own the post-sale customer lifecycle for B2B SaaS accounts, including onboarding, implementation, adoption, value realization, account health, churn prevention, renewals, and retention. Lead customer trainings, manage integrations and configurations, identify risks, negotiate renewals, maintain Salesforce data, and collaborate with Sales, Product, Engineering, Support, and RevOps to improve customer outcomes and operational processes.

Develops and commercializes partner-built solutions across the Superhuman Suite. Responsibilities include shaping joint value propositions, creating pitch and demo assets, enabling alliance managers and partners, packaging repeatable solutions, coordinating launches, supporting partner growth, and tracking post-launch performance. The role works across Alliance Programs, Partner Marketing, Technical Alliances, Product, and solution architecture, with approximately 25% international travel.

Develop product launch narratives and messaging that connect with customers and prospects. Create demos, case studies, webinars, campaigns, web content, and customer stories. Partner cross-functionally with product, sales, and customer success to ensure consistent positioning. Conduct customer and prospect research, identify market trends, and use data-driven insights to strengthen product marketing strategy.

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 an established RevOps and Enablement team to sharpen analytics, harden systems and data architecture, and scale AI-first workflows across Sales, Marketing, and CX. Own revenue tech stack, forecasting, GTM reporting, process optimization, and enablement programs while partnering with executive leadership to drive measurable revenue outcomes.

Leads enterprise healthcare sales for SoundHound AI, driving revenue growth, pipeline development, complex deal execution, executive relationships, and account expansion across health systems, providers, and digital health companies. Develops go-to-market strategies, presents AI solutions to healthcare executives, manages RFPs and contract negotiations, collaborates cross-functionally, and supports customer growth. Requires extensive B2B SaaS healthcare sales experience and willingness to travel.

Lead architecture and technical strategy for large Azure modernization and AI programs. Define reference architectures, drive cross-team execution, promote AI-augmented practices, mentor architects, guide discovery and delivery, ensure non-functional requirements (security, reliability, observability) are met, and create reusable assets to scale enterprise AI/ML adoption and platform modernization.

Localize, translate, fact-check, review, and adapt primarily football-related content from US English into Brazilian Portuguese. Conduct market-specific research, follow style and terminology guidelines, provide editorial feedback, and ensure content resonates with local audiences. Requires strong football knowledge, bilingual writing ability, proofreading and editing skills, localization experience, technical proficiency, and a licensed Microsoft Office subscription.

Design, build, and operate a distributed storage and data movement platform supporting petabyte-scale model training and evaluation. Run stateful systems across Kubernetes clusters, define throughput, latency, and durability requirements with research and infrastructure teams, and solve networking, I/O, consistency, and cross-region data transfer challenges. The role involves supporting cloud object storage, POSIX filesystems, model checkpoints, and large-scale GPU workloads.