Top Natural Language Processing Jobs in Denver & Boulder, CO

Lead a small team to define and execute website content strategy across multiple product sites, drive content roadmaps and operational excellence, partner with cross-functional stakeholders, and contribute hands-on to high-priority content. Scale content production using CMS, AI-assisted workflows, freelancers, and strong quality-control processes to support acquisition, conversion, and product storytelling.

Lead lifecycle strategy and execution for Superhuman Mail, building 0->1 and scalable programs across onboarding, activation, engagement, cross-sell, retention, and win-back. Establish segmentation, experimentation, and KPI frameworks; design email and in-product messaging; run A/B and holdout tests; and partner cross-functionally with Product, Data, PMM, and Marketing Ops to drive growth.

Provide legal counsel to research and product teams on model development and deployment. Draft and review consumer-facing terms, privacy policies, and disclosures. Build privacy program and AI governance frameworks, translate international AI regulatory developments into actionable policies, and scale AI-native legal workflows across the company.

Lead post-launch lifecycle, adoption, stabilization and continuous optimization of the CFC CRM platform across global markets. Own BAU roadmap, operational governance, integrations, release readiness, value measurement, and cross-functional orchestration with Data, Digital, Compliance, and Markets to ensure CRM delivers sustained commercial value and scalability.

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

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

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 Senior Machine Learning Engineer will enhance AI capabilities for defense applications, collaborate on ML models, optimize data processing, and ensure security in high-stakes environments.

Lead and scale a global Solutions Engineering organization, manage regional SE managers, design AE-aligned operating model, drive consultative pre-sales (discovery to close), partner with Product/Engineering/Customer Success, champion AI-driven SE productivity, recruit and develop talent, and drive KPIs, quota attainment, and ROI-focused value engineering across regions.

As a Customer Success Engineer at Algolia, you will ensure customer adoption and success of the search platform by providing technical onboarding, solution design, and support. You will advise customers on best practices, deliver workshops, and collaborate with internal teams to improve customer experience and outcomes.

Define and drive testing strategy and quality culture for the AI Platform. Architect quality standards for data pipelines, AI model validation, observability, and agentic search. Build scalable automation, design test datasets, guide test planning across unit/integration/E2E, perform exploratory testing, and coach engineers to enforce release gates and measurable quality metrics.

Design, build, and scale data integrations for healthcare systems, collaborating with teams and enhancing functionality while ensuring security and quality.