Top Natural Language Processing Jobs in Denver & Boulder, CO

Lead end-to-end delivery of ML infrastructure and AI tooling programs, defining architecture and rollout strategies for training, serving, and monitoring. Coordinate research, engineering, product, and data teams to optimize inference cost/latency, build internal tools for experiment tracking and model versioning, and resolve bottlenecks to enable faster, scalable ML deployments.

Design and implement scalable, secure inference services for speech processing. Optimize networking, audio transcoding, latency, memory, and distributed compute orchestration. Debug complex system issues, customize backend services for customers, and partner with Product to deliver end-to-end features.

Own the research-to-production pipeline: harden training/evaluation workflows, build packaging/deployment tooling, design release gates, optimize inference and serving for latency/throughput, establish benchmarking and validation, and instrument feedback from production to accelerate research iteration.

Own and maintain lifecycle marketing systems: administer Hightouch reverse ETL, monitor syncs and pipeline health, triage martech issues, partner with engineering and marketing on implementations, document configurations, manage access and governance, support audience segmentation and QA, and identify automation opportunities while building solutions with AI.

The Sales Engineer will support Account Executives by aligning Superhuman's solutions with educational institutions’ needs, delivering demos, conducting POCs, and engaging with technical stakeholders.

Lead and build a Strategic Customer Success team, design high-touch success programs and playbooks, coach CSMs into consultative executive partners, define adoption and retention metrics, synthesize account insights into product feedback, partner cross-functionally, and experiment to create a scalable strategic CS motion for a multi-product AI productivity suite.

Lead Pfizer's Rare Disease Health IT strategy and customer engagement with leading health systems in the Southeast. Advise on EHR-enabled tools (CDS, order sets, patient portals), support account teams, influence Health IT strategy and governance, attend HIT conferences, and travel up to 35% to advance population health and care management initiatives.

Own and build Hebbia's APAC sales presence from Singapore: manage full enterprise sales cycles, develop relationships with institutional investors, shape regional GTM strategy, represent the product at events, and hire a regional team.

Deliver tailored live training sessions and workshops for clients on using EliseAI products effectively, while collecting feedback and improving internal programs.

The Enterprise Account Executive will drive sales by managing the sales process, generating new business, engaging with prospects, and achieving revenue targets.

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.

Own and operate SoundHound's global equity program end-to-end: administer RSU/PSU awards and lifecycle events, design SOX controls and procedures, manage Shareworks as system of record, coordinate with Legal/Finance/Tax/Payroll and auditors, handle Section 16 and 10-Q/10-K disclosures, maintain 10b5-1 plans, and provide cross-functional guidance and strategic equity program improvements.

Lead integration of technology into information systems, design data warehouse and BI capabilities, define data architecture and dictionaries, centralize disparate data, design dashboards, document system architecture, perform data quality and management, and provide solution engineering, pilots, and enablement for analytics and resource management.

As a Principal Product Manager, you will drive innovation in AI technology, reshape expert acquisition strategies, and collaborate with cross-functional teams to enhance product offerings.

The Senior Marketing Operations Manager will oversee marketing data architecture, integrations, and operational excellence by ensuring scalable, reliable data flows while collaborating with various teams.