Top Natural Language Processing Jobs in Denver & Boulder, CO

Drives sales and customer relationship development across an assigned cardiovascular territory. Engages healthcare providers in person and virtually, develops territory call and engagement plans, educates customers on approved product and disease-state information, uses analytics to identify opportunities, collaborates cross-functionally, and completes administrative responsibilities compliantly.

Research Staff will develop foundational voice AI technologies, including low-bitrate neural audio codecs, steerable speech generation, disentangled audio representations, latent recombination, synthetic audio data generation, and multimodal speech-to-speech models. The role also involves designing scalable architectures, training methods, and inference algorithms optimized for hardware, billion-hour datasets, and real-time deployment. Candidates need strong mathematical foundations, foundation-model expertise, large-scale data pipeline experience, rigorous experimentation skills, deployment optimization knowledge, and publications or open-source contributions in speech or language AI.

Lead and build a Strategic Customer Success team, design high-touch success programs and playbooks, coach CSMs into consultative executive partners, define adoption and retention metrics, synthesize account insights into product feedback, partner cross-functionally, and experiment to create a scalable strategic CS motion for a multi-product AI productivity suite.

The Sales Engineer will support Account Executives by aligning Superhuman's solutions with educational institutions’ needs, delivering demos, conducting POCs, and engaging with technical stakeholders.

Provide expert, multi-channel technical support for the Zocks AI platform; troubleshoot complex issues, drive user adoption, surface product feedback to engineering, ensure data privacy when handling PII, and maintain clear, empathetic communication to maximize customer success.

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.

Partner with senior leaders across a global technology organization to guide organizational design, leadership development, talent and succession planning, engagement, retention, capability building, and people strategy. The role supports a rapidly scaling AI company, combines strategic advising with hands-on execution, and helps build scalable People practices across distributed teams and regions.

Manage a global portfolio of HR programs and initiatives within the HR PMO. Build project plans, milestones, workstreams, governance, and ownership; coordinate cross-functional execution across HR, Finance, Legal, IT, and other teams; manage risks, dependencies, decisions, and stakeholder alignment; and develop scalable workflows and tools for HR operations. The role requires thriving in ambiguity, moving quickly, and independently delivering complex projects in a high-growth environment.

Drive Cohere's AWS-sourced and AWS-influenced partner pipeline. Define and execute partner GTM for the Enterprise Market; recruit, onboard, enable and certify partners; lead co-selling, joint pipeline generation, business planning and QBRs; relay partner feedback to product and policy teams and evangelize Cohere at events.

Own the zero-to-one lifecycle for structured financial data products, from analysis and data architecture through launch, testing, and iterative enhancements. Translate investor research and quantitative workflows into product requirements, partner with engineering and platform teams, validate solutions with customers and domain experts, prioritize initiatives, analyze competitors, and drive cross-functional alignment. The role requires strong financial-data fluency, product leadership, communication, and attention to detail.

Lead Customer Success Operations to improve CS productivity and efficiency. Own metric definitions (NRR, GRR, renewal, usage KPIs), operationalize programs, support CS tooling and workflows (Salesforce, Gainsight, Clari, Gong, Tableau), build playbooks and reporting, resolve escalations, and partner cross-functionally to drive adoption, retention, and growth.

Provides second-line technical support for SaaS and private-cloud environments, diagnosing complex AWS, Kubernetes, API, search, and agentic-system issues. Partners with Engineering, Product, and customer-facing teams to resolve cases, lead technical account reviews, identify risks, improve processes, and create runbooks and documentation. Builds reusable AI workflows, prompt libraries, and MCP-connected investigation tools while mentoring junior engineers and supporting strategic customers.

Lead enterprise sales for the Opal platform, build and manage pipeline, run technical demos and integrations, collaborate with account management and partners, shape proposals for complex deals, and provide customer feedback to evolve the product.

Lead day-to-day GRC operations: manage audits and certifications (SOC 2, ISO 27001/42001), maintain risk register and controls, coordinate assessments and evidence collection, support customer security questionnaires and due diligence, partner with Engineering to implement technical controls, and build scalable governance processes.

Lead and own AWS infrastructure for an LLM-powered enterprise coaching product. Design scalable IaC (Terraform, Ansible), CI/CD, autoscaling, networking and security (SIEM, EDR/XDR). Optimize costs, ensure high availability, collaborate with application and AI teams, and implement enterprise-grade security and compliance for Fortune 500 deployments.