Top Natural Language Processing Jobs in Denver & Boulder, CO

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 Senior ABX Manager will design and execute account-based marketing programs for strategic accounts, collaborating with sales to drive engagement and revenue.

Own the Coda Docs sales motion within an enterprise book: build pipeline, partner with ATU AEs, Sales Engineers and CSMs, run consultative discovery with VP/C-suite stakeholders, demo tailored Coda solutions, navigate procurement/legal, maintain Salesforce pipeline and forecasts, and contribute GTM playbook improvements to drive land and expansion revenue.

Lead enterprise commercial enablement for PC1: own proposal/SOW strategy, Salesforce and SFMC platform ownership, sprint-driven product delivery, AI enablement, digital budget management, and cross-functional digital project leadership to drive scalable commercial and marketing outcomes.

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.

Design and implement secure, scalable backend services for voice agents, integrate AI models and telephony, improve inference, debug concurrent systems, and collaborate with Product to deliver features end-to-end.

As the founding engineer of the Data Intelligence team, you will design semantic layers, develop AI tooling, and automate data processes to drive business insights.

As a Solutions Architect at Deepgram, you'll engage with customers post-sales to resolve complex technical issues, create scalable solutions, and enhance support processes, using your engineering skills and experience in customer-focused roles.

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 Business Development Representative engages with potential customers, qualifying leads and supporting sales efforts while managing prospect information in Salesforce.

Design and deliver scalable prospecting methodology, training, playbooks, and coaching for SDRs/AEs/AMs; partner with RevOps and leadership to drive tool adoption, build signal-to-pipeline workflows, run pipeline initiatives (ABM, nurture, social), and measure KPIs to demonstrate pipeline impact.

Lead product marketing for premium content, proprietary data, and Tegus Expert Call Services. Own positioning, messaging, launches, GTM strategy, and sales enablement. Partner with Product, Sales, Customer Success, and Competitive Intelligence to drive awareness, adoption, pipeline, and expansion. Build and grow a high-performing PMM team, run market/customer research, translate complex capabilities into role-based value props, and create sales assets and operating rhythms to connect GTM with product.

Lead the architecture and reliability of a financial data extraction platform, reducing human validation reliance by enhancing accuracy and scalability of systems while leveraging AI-driven solutions.

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).

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.

Perform B2B market and contact research to identify prospective companies and decision-makers, achieve daily lead-generation targets, gather executive contact information using tools and strategies, and support email prospecting and outreach efforts.

Label and outline plants in agricultural images using an online tool, tag crop and weed types per guidelines, maintain high accuracy across many images. Remote, flexible internship (3 months) with a monthly stipend and completion certificate. No coding or prior labeling experience required; video tutorials provided.

Work across frontend and backend to design, build, and ship annotation and review features; implement ingestion, storage, user management, and annotation pipelines; integrate model inference into workflows; optimize performance for large images/videos; design APIs and collaborate with product, operations, and annotators.

Leads Federal Student Aid’s enterprise transition from project-centered delivery to a product-led operating model. Advises executives, establishes product governance, aligns systems integrators and delivery teams, coaches product and engineering leaders, facilitates strategy and design-thinking sessions, manages dependencies, defines outcome-based KPIs, and develops frameworks and communities of practice to sustain transformation across a complex federal technology environment.