Top AI Jobs in Denver & Boulder, CO

Leads the development and deployment of software and data solutions using Palantir Foundry and AI/ML technologies. Responsibilities include data engineering, analytics, system improvement, client account management, project ownership, team leadership, coaching, stakeholder engagement, and continuous improvement. The role requires building scalable applications with large datasets and delivering customer-focused solutions.

Owns the roadmap and execution of global partner programs across sourcing, co-selling, services, adoption, renewals, and marketplace motions. Coordinates cross-functional stakeholders, improves partner journeys, designs incentives, maintains program documentation, creates enablement materials, and establishes performance reporting. This strategic individual contributor connects partner activity to pipeline, revenue, and customer outcomes while driving program adoption, compliance, and continuous improvement.

Manages strategic relationships with cybersecurity services retainer customers, improving preparedness, service utilization, and satisfaction. Coordinates with sales and delivery teams, conducts account reviews, documents follow-up actions, develops customer success plans, scopes services, and supports account expansion. The role also contributes to program improvements and applies cybersecurity, incident response, security framework, and AI knowledge to optimize customer outcomes.

Build and lead Hex’s Systems Integrator partner program from the ground up. Recruit, qualify, enable, and prioritize SI partners; develop joint go-to-market plans; generate partner-sourced pipeline and revenue; support enterprise deal cycles; and create scalable partner playbooks, incentives, and enablement. Collaborate closely with Sales, Solutions Engineering, Customer Success, Marketing, and cloud and data platform partners to drive customer adoption and company growth.

Drives enterprise sales growth across the Chicago territory by managing strategic accounts, generating pipeline, leading consultative sales cycles, and expanding customer adoption of GitLab’s AI-powered DevSecOps platform. Builds executive relationships, develops account plans, coordinates cross-functional teams and partners, manages negotiations and implementations, and contributes to forecasting, win/loss analysis, and go-to-market improvements.

Build and deploy AI-powered tools for Rula’s business and clinical teams by observing workflows, rapidly delivering production software, measuring usage and impact, and enabling teams to operate tools independently. The role requires privacy-by-design practices, rigorous AI evaluation, customer-centric discovery, and integration with complex legacy systems. Staff engineers may optimize LLM costs and quality while creating reusable building blocks for future teams.

Leads multidisciplinary teams delivering AI-enabled, cloud-native applications on AWS. Oversees architecture, development, testing, deployment, modernization, platform engineering, security, reliability, and client advisory activities. Translates business objectives into technical roadmaps, guides complex engineering work, coordinates cross-functional architecture reviews, communicates delivery risks and options, and coaches teams across multiple workstreams.

Design, scale, and deliver an AI-first sales skills and competency program across five business units. Facilitate workshops, role-plays, certifications, call coaching, and onboarding support. Coordinate cohorts, logistics, communications, and cross-functional stakeholders. Track participation, competency, behavior change, and revenue outcomes using certification, call review, and Salesforce data. Partner with managers and leaders to reinforce training, gather feedback, and continuously improve the program.

Principal Engineer responsible for defining the long-term architecture and modernization strategy for GitLab’s Fulfillment platform. The role drives technical direction across entitlements, licensing, provisioning, seat management, usage visibility, and cost management. Responsibilities include hands-on distributed systems engineering, migrations, performance and reliability improvements, cross-team influence, AI-assisted engineering adoption, and mentoring senior technical staff.

Leads and develops a team of senior enterprise Account Executives selling complex solutions to major retail merchants. Owns pipeline, forecasting, deal progression, merchant acquisition, expansion, and revenue outcomes. Coaches strategic deal execution, builds executive merchant relationships, shapes enterprise retail go-to-market strategy, and partners cross-functionally across Product, Client Success, Marketing, Finance, Legal, and RevOps. Uses data, AI, automation, and modern sales tools to improve effectiveness. Travel supports merchant meetings, events, and team gatherings.

Evaluates IT processes, ITGCs, application controls, and ICOFR risks; conducts walkthroughs, reviews vendor SOC reports, maps CUECs, supports audits, and develops remediation plans. The role also assesses SOX impacts of new applications, designs controls, and uses AI tools to improve compliance documentation and risk identification. Candidates need a relevant bachelor’s degree, 2–3 years of experience, IT audit certifications or equivalent, ERP knowledge, and familiarity with COBIT/COSO, SEC, PCAOB, and US GAAP.

Deliver strategic technical guidance for Atlassian customers, create solution content and prescriptive guidance, align product capabilities with business outcomes, showcase customer successes, expand technology use cases, and advocate for customer needs across Atlassian.

Design, deploy, and operate security controls for Dropbox’s AI and agentic infrastructure across cloud, Kubernetes, data stores, and on-premise systems. Secure authentication, authorization, networking, AI tools, and non-human workloads while addressing prompt injection, poisoning, supply-chain, and MCP risks. Lead security initiatives, harden infrastructure, automate policy and security operations, and collaborate cross-functionally to protect customer data. Participate in on-call rotations as required.

Lead end-to-end performance of customer-facing conversational AI and knowledge base. Design, test, and optimize AI conversations, define intents and success metrics, analyze KPIs, maintain enterprise knowledge, run continuous improvement using analytics and experimentation, and partner cross-functionally to improve CX and business outcomes.

Lead cross-functional initiatives that enable AI models, coding assistants, and agentic workflows across the software development life cycle. Manage model onboarding, evaluation, approvals, governance, security reviews, adoption metrics, and vendor relationships. Coordinate Engineering, Security, Data Science, Legal, and IT stakeholders while driving communication, risk resolution, change management, training, and process improvements.

Conduct research, landscape analysis, due diligence, and financial reviews to identify nonprofit grant partners aligned with the foundation’s strategy. Prepare evidence-based recommendations for grant decisions, monitor AI and data-for-good trends, synthesize grant outcomes, and develop portfolio insights. The role also supports relationship management, cross-grantee collaboration, strategic learning, and systems that improve grantmaking effectiveness.

Lead and develop a team of Revenue Enablement Managers supporting multiple business lines. Establish operating standards, provide floater coverage, deliver training and coaching, support launches, and partner with revenue leaders to improve performance. Own everboarding programs, enablement metrics, technology adoption, and AI-first workflows while translating business priorities and performance data into scalable enablement initiatives.

Leads strategy and operations for the partnerships organization, partnering with business development, partner success, finance, systems, and enablement. Owns segmentation, planning, metrics, pipeline reviews, partner economics, deal desk, and operating cadence. Develops AI strategy and productivity improvements across forecasting, partner scoring, and field insights. Builds analyses directly, influences senior revenue leaders, and hires and manages a team of analysts and operations partners.

Executive leader responsible for the strategy, P&L, portfolio, commercial model, operational performance, customer experience, and go-to-market execution of HPE GreenLake Flex Solutions. The role transforms global as-a-service operations across CPQ, pricing, contracting, order activation, metering, billing, renewals, and expansion; integrates hybrid-cloud technologies; drives profitable growth; and leads customers, partners, and a global organization.

Manage customer renewals, retention, and account expansion across direct and channel relationships. Lead customer review calls, assess usage and churn risk, prepare renewal quotes, process orders, maintain CRM records, collaborate with distributors and resellers, and meet sales quotas. The role requires technology inside sales experience, strong communication, CRM proficiency, organization, and a self-motivated, customer-focused approach.

Leads aerospace assembly, integration, and test engineering activities, including developing test plans, procedures, reports, and validation strategies. Supports requirements management, systems integration, verification and validation, troubleshooting, non-conformance resolution, and technical analysis. Works across multidisciplinary teams, guides junior engineers, operates testing equipment, interprets schematics, and documents results to verify compliance and system performance.

Build and deploy production AI/ML systems that optimize Samsara’s global hardware supply chain. Responsibilities include demand, inventory, cost, lead-time, supplier-risk, anomaly-detection, and cash-flow modeling; real-time inference pipelines; MLOps; data infrastructure; governance; and cross-functional AI adoption. The role also sets the supply-chain AI roadmap, mentors junior scientists, establishes modeling standards, and partners with Planning, Procurement, Finance, Engineering, and Operations.

Lead the design and implementation of AI initiatives for edge devices. Develop and optimize machine learning solutions using large-scale sensor, video, text, diagnostic, transaction, and location data. Partner with engineering and business teams to prototype AI experiences, ship production systems, adopt research advances, and improve edge model performance. Mentor ML engineers and communicate technical concepts to varied audiences.

Leads the Safety AI organization and architecture for on-device and cloud-based computer vision and machine learning systems. Oversees sensor fusion, model lifecycle management, platform architecture, experimentation, deployment, monitoring, and continuous improvement across more than two million dashcams. Partners with product, firmware, full-stack, and platform teams to deliver reliable, low-latency safety features. Builds and develops teams of applied scientists and engineers while driving measurable improvements in driver safety and customer outcomes.

Build and deploy generative AI solutions, including APIs, MCP servers, AI agents, LLM integrations, and full-stack applications. Develop scalable AWS cloud services, observability systems, evaluation pipelines, and production agent workflows. Collaborate with Product, UX, Security, Legal, and engineering teams to design interfaces, adapt AI tools to company codebases, and support customer experience and developer productivity use cases.