Top Artificial Intelligence Jobs

Develop enterprise and functional strategies across market competition, apparel, pricing, retail experience, and annual planning. Build five-year customer models, enterprise planning frameworks, consumer and competitive insights, growth opportunity analyses, and price elasticity models. Partner with senior product and channel leaders to establish strategic priorities, track performance, and drive measurable business impact.

Develop AI-driven planning, scheduling, resource allocation, and execution algorithms for autonomous spacecraft, vehicles, and mission operations. Apply search-based, constraint-based, satisfaction, optimization, geometric reasoning, and operations research techniques to complex mission data. Build software for automation, real-time decision-making, and scientific data analysis, while contributing to interdisciplinary teams and potentially leading development efforts.

Leads product strategy and execution for an AI-powered Lead Intelligence data pipeline serving Business Cards and Payments. Partners with Engineering, Data Science, Field Analytics, Sales, and Marketing to unify, enrich, verify, and continuously refresh business sales leads. Transforms fragmented, manual prospecting processes into targeted lead queues with actionable prospect context for relationship managers and digital channels.

Leads Glean’s product design organization, managing design managers, product designers, content designers, and researchers. Establishes design standards, strategy, and vision; mentors talent; partners with Product, Engineering, Marketing, and Data Science; and drives high-quality, user-centered product experiences. The role also oversees organizational planning, hiring, team culture, cross-functional collaboration, and design execution for Glean’s AI-powered enterprise products.

Own AI partnership development from qualification through launch while managing strategic customer accounts. Build partner relationships, coordinate cross-functional sales, product, engineering, legal, and marketing efforts, and drive commercial outcomes. Lead customer adoption, renewals, expansion, trial conversion, and time-to-value for API, enterprise, and developer products. Operate autonomously in ambiguous environments, create new playbooks, resolve engagement issues, and manage senior stakeholder relationships globally.

Develops, calibrates, validates, and maintains credit risk models, including PD, LGD, and EAD models, for lending, collections, loss forecasting, capital planning, and stress testing. Analyzes large datasets, evaluates model performance, documents model changes, supports systems testing, and communicates statistical insights to stakeholders and management. Collaborates across the credit union to improve risk-return strategies and reporting.

Lead legal counsel for AI and machine learning matters, advising engineering and product teams on intellectual property, regulatory compliance, contracts, privacy, open-source licensing, product design, and risk mitigation. Develop AI/ML legal playbooks, compliance processes, training, and IP protection strategies while collaborating with cross-functional stakeholders and presenting emerging risks to executives and the Board.

Leads global product marketing, executive messaging, customer growth marketing, AI thought leadership, product positioning, launches, go-to-market strategy, events, customer evidence, and industry engagement. Builds and develops teams while translating complex enterprise software, cloud, AI, automation, and platform capabilities into compelling customer and business value. Partners with product, engineering, sales, and customer success leaders to drive adoption, expansion, and market differentiation.

Leads Lyra Health’s AI/ML engineering roadmap, scales and mentors machine learning teams, and drives production-grade systems for clinical applications. Responsibilities include people leadership, quarterly planning, technical architecture, design reviews, model governance, ML SDLC oversight, and deployment of reliable microservices on Kubernetes. The role partners with product, data science, and clinical stakeholders while ensuring safety, operational excellence, cloud scalability, and compliance for sensitive healthcare data.

Own the full sales cycle for Ent’s cybersecurity platform across large enterprise accounts in the West. Build direct and partner-sourced pipeline, sell through security channel partners, conduct technical evaluations, manage multistakeholder enterprise deals, navigate security and procurement processes, forecast accurately, and provide market feedback. The role requires established relationships with security partners, CISOs, and security leaders, plus experience selling cybersecurity solutions to organizations with 5,000 or more employees.

Lead the vision, strategy, roadmap, and execution of an enterprise document management platform. Responsibilities include writing requirements and user stories, prioritizing backlogs, defining acceptance criteria, supporting testing, partnering with Engineering, driving platform adoption, and identifying opportunities for AI, intelligent document processing, and automation. The role also involves stakeholder management, executive communication, scalable solution design, and developing a Product team member.

Own B2C growth and self-serve product outcomes, including acquisition, activation, monetization, retention, and conversion into enterprise pipeline. Lead experimentation, pricing, onboarding, lifecycle engagement, product instrumentation, and PLG motions. Work hands-on with engineering, design, marketing, and sales to prototype AI-driven experiences, analyze funnel data, and ship improvements. The role requires on-site work in Seattle three days per week.

Drive cross-functional execution of onboard autonomous driving and machine learning programs. Manage schedules, risks, dependencies, milestones, and stakeholder communications across engineering, research, product, and release management. Contribute to strategic planning and technical roadmaps for foundation models, resolve roadblocks, and report program progress and KPIs to leadership. The role requires technical program management experience in software environments and familiarity with machine learning models, training pipelines, and evaluation frameworks.

Own and scale Cognition’s global partner ecosystem by onboarding, activating, and supporting many partners through scalable programs, playbooks, enablement, and metrics. Identify high-performing partners for advancement to strategic management, while collaborating with sales, engineering, product, and marketing to help partners represent Devin and generate revenue. Requires adaptability, analytical and organizational strength, technical aptitude, and at least two years of relevant experience.

Develop machine-learning algorithms for synchrotron data acquisition and online processing, organize data and metadata standards, and conduct original AI research for NSLS-II science programs. Collaborate with scientists, engineers, users, and sponsors to deploy and disseminate AI tools for light-source applications. Work includes data distribution, analysis-tool integration, and interdisciplinary open-source scientific development.

Own adoption, value realization, renewals, and expansion outcomes for named mid-market accounts. Build mutual success plans, guide AI and workflow implementations, demonstrate ROI to executive stakeholders, manage renewal risks, identify expansion opportunities, and partner with Solutions Consultants and Services teams. The role requires customer-facing discovery, technical fluency in configuring and troubleshooting Notion workflows, commercial awareness, and strong program and stakeholder management.

Tenure-track faculty member teaching undergraduate and graduate courses in human-centered information design, technical communication, UX, AI, and related areas. Responsibilities include scholarship or professional engagement, curriculum development, student advising and mentoring, service, assessment, and teaching in face-to-face, hybrid, and online environments. The faculty member will contribute to interdisciplinary collaboration and support applied research, professional development, and student engagement.

Supports AI, automation, and digital transformation initiatives in a manufacturing environment. Responsibilities include documenting processes, analyzing workflows and data, preparing process maps and presentations, assisting with AI and automation pilots, developing training materials, tracking project KPIs, and researching emerging AI tools. The role collaborates with teams across HR, Finance, Supply Chain, Sales, IT, and Marketing.

Leads administration, compliance, analysis, benchmarking, and continuous improvement for company-wide compensation, benefits, leave, and accommodation programs. Partners with employees, managers, executives, brokers, advisors, and global HR teams to maintain competitive and legally compliant programs. Coaches the team, oversees performance, develops compensation leveling recommendations, supports audits, and uses data and emerging technologies to improve operational efficiency and insights.

Leads systems engineering execution and manages approximately 10 technical leaders supporting cyber and intelligence programs and captures. Responsibilities include technical leadership, talent development, staffing, engineering baseline and cost/schedule management, metrics, budgeting, process improvement, workload forecasting, issue resolution, and cross-functional resource coordination. The role requires expertise in SIGINT, cyber, non-kinetic operations, cryptography, or related missions, plus active Top Secret/SCI clearance and up to 25% travel.

Leads biometric watchlisting, identity intelligence processing, attribution analysis, and multi-modal biometric matching for an Intelligence Community program. Provides technical leadership and personnel management, oversees identity resolution and network characterization, coordinates with multidisciplinary intelligence teams, and establishes quality assurance, validation, and accuracy standards. The role requires classified-environment watchlist management, legal and privacy compliance, and integration of biometric data with broader intelligence products.

Own the full sales cycle for cybersecurity solutions targeting organizations with up to 2,500 employees. Responsibilities include self-sourced outbound prospecting, pipeline development, security-team evaluations, multithreaded stakeholder engagement, business-case creation, forecasting, quota attainment, and clean handoffs. The role also requires gathering customer and competitive insights to influence product and sales strategy while using AI tools to improve selling effectiveness.

Own the full enterprise sales cycle for cybersecurity solutions across organizations with 5,000+ employees. Build pipeline through outbound prospecting, relationships, events, and partners; engage CISOs and security teams; run technical evaluations; develop account plans and business cases; navigate security, privacy, legal, and procurement processes; forecast accurately; close deals; and relay customer and competitive insights to product and sales leadership.

Own the full enterprise sales cycle for cybersecurity software across organizations with 5,000+ employees. Build pipeline through outbound and relationships, engage CISOs and security teams, conduct technical evaluations, develop business cases, navigate procurement and legal processes, forecast accurately, and close deals. Feed market insights back into product and sales strategy while using AI to improve sales effectiveness.

Own enterprise sales for AI-powered robotic automation solutions, targeting major manufacturers. Responsibilities include territory and account planning, prospecting, multi-threaded stakeholder management, ROI and business-case development, negotiations, and closing complex multimillion-dollar deals through funded deployment. The role requires expertise in enterprise B2B sales, capital equipment or automation, Robotics-as-a-Service, and long sales cycles. Frequent customer-site travel, approximately 50%, is expected.