Top Natural Language Processing Jobs in Denver & Boulder, CO

Own Deepgram’s end-to-end text-to-speech research program, including technical strategy, model architectures, experiments, training, evaluation, and production deployment. Lead researchers and technical managers, establish roadmaps, advance naturalness, expressiveness, multilingual generation, controllability, voice consistency, and inference efficiency, and partner with engineering and product leadership to ship high-quality models.

Own complex monthly close areas, including stock compensation, leases, payroll accruals, intercompany, and foreign currency. Review accounting work, manage close critical paths, prepare audit support, design SOX-ready controls, and support migration from Xero to a scalable ERP. Coach accounting staff and build AI-powered automation for reconciliations, schedules, narratives, and workflows.

Own adoption, retention, and expansion across a pooled portfolio of scaled customers through digital-first programs. Provide technical API integration guidance, troubleshoot issues, run demos, and create reusable enablement assets. Design automated customer journeys, webinars, self-service resources, and workflows that accelerate activation. Monitor usage and health data, identify expansion opportunities, report KPIs, and build scalable systems that reduce recurring manual work.

Provide legal counsel across product lifecycle for AI agents and SaaS products, triage and resolve legal issues, advise Product/Design/Engineering/Marketing, manage IP, monitor AI/privacy regulations, build scalable compliance processes, and deliver training.

The Enterprise Account Executive will manage sales cycles for large accounts, focusing on new logos and expanding existing accounts while working with multiple stakeholders.

Manage, coach, and develop a team of 10–12 BDRs to hit activity, pipeline, and quota targets. Build and standardize BDR motions with Marketing and Sales, own hiring/onboarding/ramp, report performance, and partner cross-functionally to translate field insights into campaigns. Drive data-informed coaching and performance management to generate pipeline and revenue.

Manage daily operations for the Denver office and remotely support the New York office. Responsibilities include supplies, vendors, mail, deliveries, visitor and interview logistics, onboarding preparation, basic IT/AV troubleshooting, contract and budget tracking, employee perks, events, and People Ops projects. The role requires proactive ownership, strong communication, comfort with shifting priorities, and five days per week onsite in Denver.

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.

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.

Own named enterprise accounts after proof of concept, driving adoption, onboarding, workflow expansion, account health, executive reviews, references, renewals, and growth. Configure AI workflows, identify new use cases, cultivate champions, troubleshoot customer issues, and communicate adoption patterns and product gaps to internal teams. Partner with global client executives to convert realized customer value into expansion and referenceable partnerships.

Own technical evaluations for enterprise media agencies, including discovery, POC scoping, demos, solution design, deployment architecture, and data integration. Build agentic AI workflows using partner data and cloud environments, address governance and security requirements, and deliver technical wins in partnership with go-to-market teams. Convert repeatable solutions into reusable modules or agents, hand off successful accounts, and inform product and engineering roadmaps.

Develop Power BI dashboards, reports, data models, and analytical tools for federal consulting engagements. Gather stakeholder requirements, integrate and validate operational data, create DAX calculations and Power Query transformations, and support forecasting, staffing, cost, inventory, and performance analysis. Optimize and document solutions, conduct testing and training, and transfer knowledge to Government users. Collaborate with logistics, operations research, security, and project management stakeholders.

Assesses and improves inventory, logistics, asset management, and equipment lifecycle processes for a federal engagement. Reviews data quality, maintenance and procurement records; develops asset standards, replacement-planning methodologies, analytical tools, process documentation, implementation roadmaps, and executive briefings. Collaborates with government stakeholders, data analysts, Power BI developers, subject matter experts, and project managers to improve asset visibility, forecasting, and operational controls.

Build and ship features for Cohere’s North AI workspace platform, develop autonomous agents that interact with sensitive enterprise data, and deploy highly performant, secure applications in low-resource environments. Collaborate with researchers to productionize advanced AI models and techniques while contributing across the full stack using Python and React.

Own the full sales cycle for State, Local, and Higher Education (SLED) customers in the Western US. Drive net-new acquisition via outbound outreach, partner/channel engagement, and executive relationships. Collaborate with SDRs, Sales Engineering, Product, and Customer Success to deliver proofs-of-concept, navigate procurement, and close deals while shaping product priorities with customer feedback.

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.

Build and maintain commercial data pipelines, ETL processes, scalable data models, KPI reporting, dashboards, and data governance for Revenue Operations. Support headcount and capacity planning, sales compensation alignment, quota and territory modeling, and rep productivity analysis. Lead analytics platform initiatives, resolve data quality issues, enable self-service reporting, and partner with Sales, Marketing, Finance, and business analytics teams to improve revenue decision-making.

Seeking a Staff Software Engineer to lead the design and evolution of the entity data platform, focusing on data ingestion, resolution, and delivering accurate data. Responsibilities include system architecture, improving reliability, and mentoring team members.