Top Natural Language Processing Jobs in Denver & Boulder, CO

Leads SMB and commercial sales strategy, revenue performance, team development, pipeline forecasting, enablement, hiring, and complex enterprise deals. Partners with Product, Marketing, Customer Success, and executive leadership to scale go-to-market execution, improve sales consistency, and drive customer expansion across a multi-product SaaS environment.

Leads measurement and product marketing for eight enterprise AI platforms. Builds shared KPI, taxonomy, scorecard, data-quality, and value-realization frameworks; translates usage and outcome data into executive insights and investment guidance. Oversees positioning, internal launches, campaigns, enablement, adoption, and audience segmentation. Partners across product, engineering, data, communications, and business teams while building and managing teams responsible for analytics, marketing, and communications.

Own end-to-end localization operations for enterprise clients, serving as the primary operational contact and trusted advisor. Coordinate stakeholders and cross-functional teams, manage localization workflows and configurations across TMS and project tools, resolve client and internal issues, and improve processes through documentation, automation, and AI-enabled solutions. The role requires localization or translation project management experience, client communication skills, familiarity with localization formats and CAT/TMS tools, and strong organizational abilities.

Leads Deepgram’s end-to-end Text-to-Speech research program, owning research strategy, technical direction, model development, evaluation, and production deployment. Advances neural audio modeling, prosody, expressiveness, multilingual generation, voice consistency, controllability, and inference performance. Builds and develops research teams, manages technical leaders, prioritizes experiments and compute, evaluates model quality, and partners with engineering and product leadership to ship production-grade models.

Own full-cycle recruiting across all company functions and experience levels. Responsibilities include posting jobs, screening applicants, building shortlists, coordinating interviews and debriefs, maintaining ATS data, partnering with hiring managers, improving recruiting processes, and delivering a strong candidate experience across multiple simultaneous searches.

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.

Acquire new Financial Services clients, including hedge funds, asset managers, investment banks, and sell-side research departments. Manage the full sales cycle from prospecting and relationship development through product demonstrations, trials, forecasting, and closing. Build territory pipeline, exceed sales targets, partner with marketing and product specialists, support user adoption, and relay market feedback to internal teams.

Lead a team of 8–10 Account Managers responsible for customer renewals, retention, expansion, forecasting, and strategic account relationships. Coach and develop team members, improve scalable customer-management processes, reduce churn, identify growth opportunities, and collaborate with Customer Success and Sales. The role also includes recruiting talent, managing performance visibility, handling senior-client relationships and escalations, and shaping customer strategy through data-driven insights.

Manage and grow corporate SaaS customer relationships by driving retention, product adoption, renewals, and expansion opportunities. Serve as the primary client contact, conduct business reviews, identify churn risks, collaborate with Account Executives, and gather customer feedback for internal product, marketing, and sales teams. The role supports Fortune 1000 clients and requires consultative communication with users, stakeholders, and executives.

Own end-to-end client relationships for a book of B2B SaaS customers: drive adoption, engagement, retention, and expansion of AI-powered contract drafting tools. Lead onboarding, training, large-scale rollouts, and translate customer feedback into product improvements while designing scalable CS processes and tracking health metrics to demonstrate value.

Senior backend engineer responsible for designing and implementing new features, scaling and optimizing the platform, improving Postgres and Elasticsearch performance, fine-tuning LLMs, and making architectural decisions. Collaborate with engineering team, take ownership of features, write performant, maintainable code, and help shape product and infrastructure for data-intensive applications (NLP, search, indexing).

Designs and maintains CI/CD pipelines, Terraform infrastructure, Kubernetes clusters, AWS cloud environments, and GitHub workflows. The role improves developer tooling and SDLC processes, troubleshoots infrastructure and application issues, and implements security, reliability, observability, and performance best practices while collaborating with engineering teams.

Leads financial services product marketing for banking and insurance solutions. Develops Azure go-to-market strategy, positioning, messaging, solution launches, marketplace listings, sales enablement, demand campaigns, thought leadership, and client success stories. Partners with delivery, alliances, sales, engineering, analytics, design, and marketing teams to identify market opportunities, accelerate sales, improve win rates, and strengthen 3Cloud’s Microsoft Azure positioning.