Top Natural Language Processing Jobs in Denver & Boulder, CO

Partner with enterprise financial firms to design and implement scalable practice management programs. Lead executive engagement, success roadmapping, content and curriculum development, and live facilitation. Drive adoption through program design, data-driven recommendations, and feedback to Product. Travel regularly to client sites and industry events to deliver sessions and represent Zocks as a subject-matter expert.

Own lifecycle email and in-app campaigns for portfolio products using Iterable and HubSpot. Build, schedule, test, and optimize customer journeys; coordinate cross-functional marketing projects; develop A/B tests; analyze campaign performance; improve execution systems and processes; and support cross-product adoption across Superhuman’s product suite.

Supports Pfizer CentreOne’s inside sales and marketing activities by reviewing and routing marketing-qualified leads, executing outreach sequences, documenting activity in Salesforce, and assisting with campaigns, content, meetings, reporting, and marketing projects. The role develops commercial expertise across marketing, inside sales, and business development while progressing leads toward initial meetings and BD handoff.

Own complex technical support issues from reproduction through resolution, troubleshooting APIs, webhooks, workflows, integrations, and AI agent behavior. Escalate well-documented issues to Engineering, identify recurring patterns, and partner on product improvements. Create runbooks and troubleshooting guides, coach Tier 1/2 and BPO teams, support critical incidents and premier accounts, participate in on-call rotation, and handle sensitive customer data appropriately.

Build and operate Deepgram’s deal desk, including approval matrices, pricing playbooks, credit and promotion guidelines, non-standard deal reviews, pricing analysis, Salesforce CPQ workflows, and audit-ready approvals. Partner with Sales, Customer Success, Product, and Finance on pricing, packaging, renewals, and revenue recognition. Use AI for first-pass deal reviews and continuously improve desk rules and processes.

Supports and maintains enterprise customer web integrations using Smartling’s web proxy solution. Owns technical tickets, troubleshoots browser and network issues, leads customer workshops, creates diagnostic scripts and tooling, manages production configuration changes, and collaborates with Engineering on product fixes. The role requires strong web technologies, debugging, communication, and customer-facing technical consulting skills.

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.

Perform daily and advanced curation of written and audio digital content, maintain metadata quality, report bugs, manage escalations, and uphold platform integrity. The role includes prioritizing tasks, balancing distributed-team workloads, creating SOPs and training materials, improving workflows, and meeting client quality standards. Candidates must be bilingual in Portuguese and English, detail-oriented, technologically adaptable, proficient with Microsoft Office, and able to work securely from home with potentially sensitive content.

Owns G&A budgeting and forecasting across Finance, Legal, People, and Corporate Affairs. Responsibilities include financial planning, modeling, monthly reporting, variance analysis, business partnering, workforce planning, and spend management. The analyst will monitor headcount, vendor, and operating expenses, improve financial systems and processes, and provide insights that support resource allocation and cost discipline.

Leads GTM and revenue finance, including ARR and revenue forecasting, deal economics, gross margin planning, KPI development, scenario analysis, and ROI assessment. Partners with Sales, Marketing, RevOps, and executive leadership to guide investment decisions and communicate GTM performance. Owns board and investor financial materials, fundraising diligence, product finance capabilities, and the development of scalable FP&A systems and processes.

As a Lead Data Scientist, you'll design experiments, build predictive models, and lead a team while shaping data-driven strategies to enhance AI deployments.

Lead and grow ReflexAI’s platform engineering: design and automate multi-cloud (GCP/AWS) infrastructure, build developer tooling and CI/CD golden paths, improve observability and on-call ergonomics with Datadog, and strengthen cloud security, secrets management, and compliance to support production-grade AI workloads.