Top Natural Language Processing Jobs in Denver & Boulder, CO

Senior Designer responsible for developing high-impact brand and marketing creative across event branding, environmental design, presentations, campaigns, and production assets. The role involves driving projects from brief to delivery, collaborating cross-functionally, maintaining design systems and brand guidelines, using data to inform decisions, and applying AI tools to accelerate creative exploration and production.

Build Deepgram’s governed decision layer above warehouse gold tables. Responsibilities include modeling cross-system entities, owning semantic and metrics definitions, creating agent-facing data tools and MCP surfaces, implementing data quality assertions and reconciliation checks, evaluating AI agent accuracy, and answering business questions while leaving reusable models behind. The role requires production-grade SQL and Python, semantic-layer ownership, strong data modeling judgment, AI-native workflows, clear writing, and comfort building infrastructure from scratch.

Own SEO and AEO initiatives across multiple domains, driving organic visibility, qualified traffic, conversions, and AI-search presence. Conduct keyword, competitor, technical, and performance analysis; recommend content, metadata, site structure, and structured-data improvements; partner with content, marketing, web, engineering, and analytics teams; support launches and offsite authority efforts; measure search visibility, citations, mentions, and business impact; and communicate actionable findings to stakeholders.

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.

Work through a backlog of unconverted marketing leads using phone, AI-assisted LinkedIn prospecting, and persistent outreach. Qualify prospect interest, arrange well-prepared handoffs to Account Executives, maintain accurate CRM records, and share prospect feedback with Sales and Marketing. The role primarily targets financial advisors and wealth management professionals and focuses on increasing marketing-lead conversion.

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.

Lead and develop Sales Directors and Account Executive teams within the High Growth corporate sales organization. Own go-to-market strategy for new logo acquisition and expansion, drive forecasting and pipeline management, support complex enterprise deals, engage executive clients, and collaborate cross-functionally with product, marketing, sales operations, customer success, and talent acquisition to accelerate revenue growth and build a high-performance culture.

Leads the strategic corporate sales organization, including Sales Directors, Pod Leaders, and Account Executives serving complex enterprise accounts. Owns segment go-to-market strategy, new-logo acquisition, account expansion, forecasting, pipeline management, executive engagement, cross-functional alignment, hiring, coaching, and organizational development. Partners with senior leadership to identify growth opportunities, improve performance, and build a high-performing sales culture across Fortune 1000 and other strategic accounts.

Leads a team of 8–12 Mid-Market or Enterprise Account Executives across new-logo acquisition and expansion sales. Develops territory and account strategies, manages pipeline forecasting and performance metrics, engages senior client stakeholders, coaches sales professionals, and collaborates with product, marketing, and customer success teams to drive revenue growth and long-term partnerships.

You will execute and improve insurance workflows, analyze operational efficiency, collaborate with product teams, and support onboarding and documentation efforts.

Own Serbian Cyrillic localization quality for UI, marketing, product, legal, support, and informational content. Lead client alignment, arbitration, quality audits, reviewer coaching, roundtables, reporting, and style guide improvements. Serve as the primary linguistic contact for the client’s Language Manager and drive consistency across the language community.

Own Ukrainian localization quality for UI, marketing, product, legal, informational, and support content. Serve as the primary client-facing language expert, interpret quality standards, manage arbitration and escalations, coach reviewers, facilitate alignment sessions, analyze quality metrics, and drive style guide and process improvements.

Leads English-to-Kyrgyz localization quality for UI, marketing, product, legal, support, and informational content. Owns quality standards, reviewer coaching, alignment sessions, arbitration records, client stakeholder communication, quality reporting, and continuous improvement. Analyzes style guides, error trends, severity patterns, and client expectations to improve consistency and review performance across the locale.

Own product areas from customer discovery through launch and measurable outcomes. Partner closely with legal professionals and enterprise stakeholders to understand workflows, define requirements, prioritize roadmaps, and validate prototypes. Collaborate with Engineering, ML, Design, Sales, and Customer Success to build scalable AI-powered legal products, incorporating security, permissions, integrations, governance, and enterprise rollout needs. Use customer evidence and adoption data to distinguish platform opportunities from one-off requests and shape product strategy.

Perform high-volume digital content curation and metadata validation for written and audio content. Follow SOPs, checklists, and client guidelines; correct straightforward issues, document defects in internal tools, escalate complex problems, manage assigned queues to SLA targets, and maintain accuracy and confidentiality while incorporating feedback through training and calibration.