Top AI Jobs in Denver & Boulder, CO

Lead and develop a team of Technical Account Managers delivering post-sale guidance to cybersecurity partners. Establish standards for deployment, adoption, partner health, retention, and expansion; coach team members; coordinate with Sales, Support, Product, and Marketing; resolve technical and account issues; communicate with technical and executive audiences; and build AI-enabled workflows for account reviews, coaching, prioritization, and customer communication.

Serve as an embedded security partner to business, product, data, and technology teams. Assess architectures, conduct threat reviews, develop secure-by-design patterns, guide SaaS and vendor selection, and translate security requirements into practical controls. Support identity, infrastructure, AI workflows, data strategy, M&A integrations, and automated guardrails while enabling teams through training and collaboration.

Leads revenue and go-to-market strategy across segmentation, sales coverage, monetization, market expansion, pricing, packaging, and investment priorities. Builds models, analyses, and decision memos; advises senior Sales, Finance, and Product leaders; translates customer and field insights into product and commercial recommendations; and partners with Field Operations and Enablement to execute multi-quarter changes.

Lead product strategy, roadmap, and execution for Zscaler’s threat detection and response offerings within its Agentic SOC and MDR business. Translate threat intelligence and customer needs into innovative security products, coordinate engineering and go-to-market teams, and measure product impact. The role owns commercialization, technical direction, product quality, and business outcomes while requiring deep cybersecurity expertise and experience with enterprise security products.

Leads Motive’s competitive intelligence program, translating market and competitor insights into sales plays, battlecards, enablement, product feedback, and customer-facing content. The role researches competitors, analyzes win/loss and CRM data, uses AI for research automation, trains sales teams, supports strategic deals, and measures program impact on win rates and pipeline. It requires extensive product marketing or competitive intelligence experience in B2B technology or SaaS, with cross-functional influence and senior leadership communication skills.

Leads strategy, roadmap, investment, and execution for horizontal AI capabilities, shared AI platforms, and AI-native cybersecurity products. Translates AI research into reliable, secure, scalable customer solutions; drives adoption across product teams; establishes launch and autonomy criteria; partners with customers and cross-functional leaders on commercialization; and builds a high-performing AI product organization.

Leads complex, cross-functional technical programs for the Superintelligence Lab. Responsibilities include roadmap execution, milestone and dependency management, risk mitigation, issue resolution, stakeholder alignment, leadership reporting, and implementing program-management best practices. The role requires collaboration with engineering, data science, and leadership teams while using AI technologies and Jira to improve workflows, decision-making, and business outcomes.

Develop and deploy data solutions using Palantir Foundry and AIP for client engagements. Lead technical teams, coach team members, analyze system interactions, build applications with large datasets, and apply data engineering and analytics to deliver client outcomes. The role also includes managing client relationships, planning and executing projects, encouraging technology adoption, resolving stakeholder conflicts, and driving continuous improvement.

Own readiness and enablement programs for SDR teams, including onboarding, sales training, prospecting, qualification, product knowledge, tool adoption, AI workflows, and manager coaching. Facilitate workshops and role-plays, develop learning content and playbooks, partner with sales, marketing, operations, and systems teams, and measure impact through ramp time, conversion, pipeline, proficiency, and adoption metrics.

Lead Qualtrics’ global commercial legal strategy, enterprise contract negotiations, partner operations, and go-to-market legal architecture. Partner with revenue, sales operations, finance, product, and information security leaders to accelerate deal cycles, implement playbooks and automated contracting workflows, manage risk, and support revenue recognition. Lead and mentor a team of commercial attorneys and contract managers while advising executives on strategic partnerships, enterprise agreements, and international expansion.

Develop production-quality computer vision, image processing, machine learning, and geospatial algorithms for imagery and spatial data. Responsibilities include mathematical analysis, algorithm design and validation, software development, large-dataset analysis, system optimization, technical collaboration, code reviews, architecture discussions, and transitioning research prototypes into scalable AI-enabled workflows.

Leads a multidisciplinary data science and data engineering team supporting Finance. Sets strategy, prioritizes initiatives, guides analytical models and data architecture, advances AI and machine learning applications, improves data quality and reliability, establishes scalable operating processes, and communicates technical recommendations to Finance and executive stakeholders. The role also manages talent, oversees forecasting and decision-support outcomes, and drives measurable business impact.

Medical Director supporting oncology real-world evidence, precision medicine, and cancer genomics initiatives. Partners with biopharma clients and cross-functional teams to design and validate clinical-molecular datasets, support translational research and clinical development, scope custom data solutions, and apply evidence to rare tumors, biomarkers, external control arms, and trial planning. Also contributes to pre-sales, internal training, scientific studies, and conference presentations.

Leads GitLab’s Product, Sales, and Finance Data Science teams, managing managers and a 12-person organization. Sets data science standards, prioritizes investments, partners with executives, drives product adoption and revenue growth, and oversees experimentation, causal inference, predictive modeling, and AI initiatives. Develops talent, builds succession, and collaborates with Analytics Engineering and Data Engineering on a shared data and AI roadmap.

Own product strategy, roadmaps, and business outcomes for GitLab.com and GitLab Dedicated. Lead platform reliability, scalability, operability, customer isolation, monetization, automation, self-service, disaster recovery, and geographic redundancy. Balance customer needs with operating costs and gross margin while developing P&L ownership. This remote individual contributor role requires director-level product portfolio leadership, technical SaaS or cloud expertise, commercial judgment, and cross-functional influence.

Leads AI and automation product strategy for disability and absence claims operations. Responsibilities include prioritizing AI opportunities, owning roadmaps, designing human-in-the-loop workflows, defining safeguards and success metrics, partnering with engineering, coaching Product Owners, managing delivery increments, and communicating operational impact to senior leadership.

Own CodePath EDU end to end, developing the product roadmap through faculty and administrator research. Lead LMS integrations, ship AI-powered features, define adoption and retention metrics, improve design quality, and partner with higher education teams to expand institutional adoption. The role requires building and scaling products for professional users across startup and larger-company environments.

Leads strategic innovation and commercialization initiatives from ideation through launch and scale. Evaluates Edge, AI, and Cloud opportunities, develops business cases, shapes product roadmaps and go-to-market strategies, and drives cross-functional execution with engineering, product, marketing, finance, and senior leadership. Builds commercialization processes, metrics, and governance while leading and mentoring teams. Requires extensive product or engineering experience involving embedded systems or consumer electronics, plus knowledge of connected-home technologies and cloud-based systems.

Generate sales pipeline through cold calling, email campaigns, LinkedIn outreach, lead research, qualification, and targeted messaging. Identify prospect needs, position solution value, schedule discovery calls, and transfer qualified opportunities to Account Executives. Track activities in Salesforce, build internal relationships, participate in onboarding and product education, and collaborate with fellow representatives to improve sales performance.

Own the complete sales and customer success cycle for large enterprise accounts. Responsibilities include prospecting, selling, renewals, expansions, executive relationship management, account planning, forecasting, and closing complex cybersecurity, DevOps, or DevSecOps transactions. The role partners with customer success, channel, marketing, product, finance, and leadership teams to drive customer outcomes and revenue growth.

Owns strategic planning, governance, prioritization, risk management, and execution across a portfolio of Superintelligence Lab programs. The role establishes phase-gate standards, manages change, tracks portfolio health through dashboards and metrics, resolves blockers, advises cross-functional teams, and communicates progress to executives. It requires strong technical program management experience, Jira proficiency, Agile and SDLC knowledge, and the ability to apply AI technologies to improve business outcomes.

Lead technical pre-sales engagements for large LATAM enterprise customers. Partner with account teams and channel partners, conduct Spanish-language discovery sessions and demonstrations, advocate for Atlassian Rovo and Teamwork Graph, architect customized solutions, and translate complex business challenges into measurable customer value. Build executive relationships, influence cross-functional teams, provide market feedback to Product Management, and support complex, high-stakes enterprise deals.

Leads enterprise infrastructure service intake and ITSM workflow standardization across eight technical disciplines. The role eliminates triage and handoff bottlenecks, translates business needs into technical requests, creates self-service documentation, tracks operational KPIs, and uses AI to improve request classification and routing. It requires strong infrastructure knowledge, analytical ability, stakeholder management, and at least five years of relevant enterprise IT experience.

Own and grow complex strategic enterprise accounts in mobility and fleet technology. Build executive relationships, identify multi-year growth opportunities, lead sales cycles from discovery through close, and translate HERE’s location, data, and AI capabilities into customer business outcomes. The role requires coordinating internal teams, engaging technical and business leaders, and strengthening HERE’s Bay Area presence.

Analyze sales performance, forecasts, pipelines, and channels to identify efficiency and revenue-growth opportunities. Build Tableau and Salesforce dashboards, deliver insights to leadership, support sales experiments, optimize processes, administer CRM data, and manage incentive and awards reporting. Partner cross-functionally with Sales, Finance, Marketing, Technology, Analytics, and executive stakeholders while evaluating AI and other sales technology solutions.