Top Natural Language Processing Jobs in Denver & Boulder, CO

The Partner Technical Enablement Manager at Superhuman will develop technical enablement assets, launch learning paths, and lead training for partners to enhance product adoption and success.

Lead performance marketing for Paid Social, Display, and Video channels, managing a team and driving growth through data-driven strategies and creative testing.

As an Alliances Partner Engineer, you will lead technical partnerships, drive platform adoption, and deliver solutions through collaboration with various teams and partners.

Own and grow Hebbia's Middle East enterprise sales: prospect, run demos, negotiate and close large deals with sovereign wealth funds, asset managers, banks and PE/VC; build regional pipeline, represent the company at events, partner on technical evaluations, inform product and GTM strategy, and hire a regional team.

The Strategic Partner Manager at Deepgram will build and scale technology partnerships, drive revenue motions, and operate AI-natively to enhance partner relations and ecosystem integration.

Build and maintain full-stack features for Saga, Deepgram's voice OS. Develop backend services (Node.js, Socket.IO, DynamoDB, AWS Amplify), frontend interfaces (TypeScript, React, Next.js), and scalable REST/GraphQL APIs. Participate in architecture, code reviews, performance optimization, and translate product requirements into iterative deliverables.

Own technical and strategic partner relationships for infrastructure platforms (silicon, cloud, edge, confidential computing). Lead onboarding, POCs, demos, deployment guidance, troubleshooting, and joint go-to-market to drive adoption and expansion of Deepgram’s voice AI on partner hardware and platforms.

Own and grow Smartling’s social presence across LinkedIn, Instagram, Facebook, X, YouTube and emerging platforms. Build channel-specific content calendars, run employee advocacy, adapt long-form assets into native social content, create and brief short-form media, track analytics and iterate, monitor brand mentions, and leverage AI tools to boost efficiency and outcomes.

Lead and grow a Product Success team focused on SMB wealthtech customers. Drive product adoption, accelerate time-to-value, build repeatable playbooks and scalable education, partner with Product, Sales, and Marketing to identify expansion opportunities, and measure adoption metrics to improve utilization and activation.

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.

Design and implement front-end features, build high-quality user interfaces, take ownership of product and architecture decisions, collaborate with engineering team, and deliver performant, user-focused solutions.

As a Senior Motion Designer, you'll create compelling brand visuals and animations while developing AI-enhanced workflows for efficiency and scalability.

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.

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.

The Customer Success Manager drives the adoption of AI solutions in life sciences by managing implementations, developing customer satisfaction strategies, and serving as a trusted advisor.

Build and scale ML-optimized HPC infrastructure, manage Kubernetes-based GPU/TPU superclusters, optimize for AI/ML training, and mentor teams while innovating in ML infrastructure.

Build and ship LLM- and agent-powered product experiences for North, designing interfaces, evals, observability, and feedback loops to improve reliability and user outcomes. Collaborate with modelling, product, design, and customers to turn failures and feedback into measurable product and model improvements.