Top Natural Language Processing Jobs in Denver & Boulder, CO

Own the post-sale customer lifecycle for B2B SaaS accounts, including onboarding, implementation, adoption, value realization, account health, churn prevention, renewals, and retention. Lead customer trainings, manage integrations and configurations, identify risks, negotiate renewals, maintain Salesforce data, and collaborate with Sales, Product, Engineering, Support, and RevOps to improve customer outcomes and operational processes.

Own the full post-sale customer lifecycle for a portfolio of SMB accounts, including onboarding, adoption, value realization, account health, churn prevention, renewals, and upsell coordination. Lead customer check-ins, health reviews, renewal negotiations, and save plays while maintaining accurate Salesforce records. Collaborate with Sales, Product, Engineering, Support, and RevOps to improve customer outcomes, processes, reporting, and retention.

Manage and grow the Customer Success team for SMB financial-services customers. Recruit and develop Product Success Specialists, drive product adoption and value realization, create scalable onboarding and education programs, monitor customer metrics, and develop data-driven playbooks. Partner with Sales, Marketing, Product, and Implementation to improve customer activation, optimize onboarding experiences, identify expansion opportunities, and build repeatable customer success systems.

Lead Deepgram’s corporate legal function, including governance, IPO readiness, financings, M&A, employee equity, international subsidiaries, and regulatory developments. Partner with Finance, People, and company leadership to build scalable legal processes for a fast-growing AI company. Establish an AI-native legal practice while advising on a broad range of startup legal matters.

Develops and commercializes partner-built solutions across the Superhuman Suite. Responsibilities include shaping joint value propositions, creating pitch and demo assets, enabling alliance managers and partners, packaging repeatable solutions, coordinating launches, supporting partner growth, and tracking post-launch performance. The role works across Alliance Programs, Partner Marketing, Technical Alliances, Product, and solution architecture, with approximately 25% international travel.

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.

Direct live audio recording sessions with voice contributors, coaching natural conversational delivery and adapting scripts through improvisation. Monitor microphone technique and audio quality, manage pacing, document retakes, and create a supportive environment for performers. The role requires native English fluency with the specified dialect, voice or audio talent direction experience, strong communication skills, and basic recording knowledge. Familiarity with DAWs and experience in improv, theater direction, or acting coaching are preferred. Freelance and fully remote.

Design, build, and operate a distributed storage and data movement platform supporting petabyte-scale model training and evaluation. Run stateful systems across Kubernetes clusters, define throughput, latency, and durability requirements with research and infrastructure teams, and solve networking, I/O, consistency, and cross-region data transfer challenges. The role involves supporting cloud object storage, POSIX filesystems, model checkpoints, and large-scale GPU workloads.

Design, develop, and evolve Algolia’s Salesforce B2C Commerce integration, owning its architecture, scalability, reliability, and long-term direction. Lead technical work from design through delivery, write RFCs, resolve complex integration issues, improve testing and maintainability, and contribute to roadmap planning. Collaborate across Engineering, Product, Support, and customer-facing teams while developing scalable integrations with external APIs and commerce platforms.

Own go-to-market positioning, messaging, campaigns, launches, competitive analysis, and customer insight programs for AlphaSense’s Expert Call Services. Partner with product, revenue, enablement, expansion, adoption, and business teams to drive awareness, cross-sell, call volume, pipeline, revenue, and product adoption. Track performance metrics and recommend improvements as the offering evolves.