Top Natural Language Processing Jobs in Denver & Boulder, CO

Own partner-network relationships after agreement signing, managing onboarding, contractual commitments, co-marketing, advisor adoption, and network penetration. Drive net-new bookings, expansions, trials, conversions, webinars, demos, and enablement activities. Track activation and pipeline metrics in Salesforce, coordinate with strategic partnerships, marketing, sales, account management, RevOps, and product teams, and forecast bookings across multiple financial-advisor networks.

Drive Superhuman Mail’s mid-market expansion through value-based B2B SaaS sales. Responsibilities include managing complex, multi-stakeholder deal cycles, negotiating contracts, building executive relationships, developing outbound strategies and account plans, forecasting, maintaining pipeline rigor, and collaborating with Sales Development, Customer Success, Sales Engineering, and Product teams.

Designs and maintains automated test frameworks and exploratory suites for products, APIs, SDKs, AI models, and data platforms. Develops functional, integration, end-to-end, regression, API, browser, load, and reliability tests; creates datasets, evaluation pipelines, dashboards, and CI/CD release gates. Partners across Engineering, Research, Product, Data, and Infrastructure to validate model behavior, data quality, performance, and production readiness. Documents reproducible defects, supports triage, and communicates risks.

Drives sales and customer relationship development across an assigned cardiovascular territory. Engages healthcare providers in person and virtually, develops territory call and engagement plans, educates customers on approved product and disease-state information, uses analytics to identify opportunities, collaborates cross-functionally, and completes administrative responsibilities compliantly.

Develop product launch narratives and messaging that connect with customers and prospects. Create demos, case studies, webinars, campaigns, web content, and customer stories. Partner cross-functionally with product, sales, and customer success to ensure consistent positioning. Conduct customer and prospect research, identify market trends, and use data-driven insights to strengthen product marketing strategy.

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 an established RevOps and Enablement team to sharpen analytics, harden systems and data architecture, and scale AI-first workflows across Sales, Marketing, and CX. Own revenue tech stack, forecasting, GTM reporting, process optimization, and enablement programs while partnering with executive leadership to drive measurable revenue outcomes.

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.

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.

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 a portfolio of approximately 60 strategic accounts, leading renewals, contract negotiations, and expansion opportunities. Manage account health, identify risks, and develop mitigation strategies while collaborating with CSMs, Solutions Engineers, legal, finance, and deal desk teams. Build relationships across complex organizations, close large enterprise deals, and create scalable sales processes in an ambiguous, high-growth environment.

Manage strategic enterprise accounts across a national territory, growing existing customers and acquiring new logos. Build consultative account strategies, serve as a trusted AI and customer-experience advisor, drive adoption, forecast accurately, achieve bookings targets, and coordinate cross-functional teams and channel partners. The role requires navigating complex enterprises, engaging executives and decision-makers, developing champions, and creating value-based solutions in emerging AI, ML, and NLP markets.