Top Artificial Intelligence Jobs

Leads ServiceNow’s global influencer marketing and paid amplification program. Builds an influencer center of excellence, develops creator partnerships, enables regional execution, oversees agency relationships, and aligns activations with product launches. Owns creative strategy, paid media budgets, performance measurement, compliance, and scalable program systems. The role requires deep creator-platform expertise, analytical rigor, budget management, and the ability to lead complex cross-functional programs.

Lead Motive’s global SMB inside sales and account management organization. Drive AI-enabled digital transformation, automate customer lifecycle workflows, reduce controllable churn, improve renewals, increase cross-sell and customer account value, and modernize high-volume go-to-market operations. The role oversees distributed teams, uses analytics to improve retention and forecasting, partners with Product and Marketing on product-led growth, and explores customer-base monetization and strategic partnerships.

Manage DraftKings Rewards loyalty program operations by monitoring KPIs, analyzing player behavior and program economics, validating data, and recommending improvements. Coordinate testing, launches, and issue resolution for program enhancements while partnering with Analytics, Finance, and Loyalty Operations. Build data-backed business cases, improve reporting and workflows through AI and automation, and communicate recommendations to leadership.

Own the vision, roadmap, lifecycle, and delivery of enterprise data and analytics products. Partner with engineering, data science, business, and executive stakeholders to define requirements, manage backlogs, oversee releases, measure KPIs, allocate investments, manage risks and vendors, and drive adoption of cloud, data, AI, and BI solutions.

Leads strategic initiatives for distribution customers, serving as a trusted advisor and improving operational outcomes through automation and AI. Diagnoses business problems, develops recommendations and roadmaps, and manages cross-functional programs from concept through implementation. Partners with Sales, Customer Success, Implementation, Delivery, and Product Management to coordinate timelines, risks, dependencies, customer adoption, and measurable results.

Leads end-to-end planning and execution of large-scale early-career events, meetings, and summits. Coordinates venues, logistics, budgets, timelines, vendors, and virtual or onsite delivery while partnering with recruiting and HR stakeholders. Analyzes participant feedback, develops recommendations, conducts after-action reviews, mitigates event risks, and advises senior leaders on engagement and retention initiatives.

Leads software product management across autonomy, simulation, platforms, cloud tools, and fleet operations. Builds and manages the product team, owns software vision and roadmap governance, defines commercial strategy, and oversees products from research through deployment and continuous improvement. Partners with engineering, AI, hardware, UX, safety, compliance, customers, and vendors on architecture, testing, release decisions, data strategy, lifecycle management, and build-versus-buy choices. Requires deep software product expertise, robotics or autonomous systems experience, cloud-to-edge knowledge, and extensive leadership experience.

Leads the design, development, and deployment of scalable AI, generative AI, and machine learning solutions. Oversees data infrastructure, integration, data quality, and advanced analytics while managing client engagements and executive relationships. Drives business development, strategic direction, innovation, and AI-driven automation. Mentors teams, develops future leaders, and fosters collaboration, integrity, and client satisfaction across complex projects.

Leads Microsoft Dynamics 365 CRM and Copilot/AI functional workstreams for client engagements. Responsibilities include requirements analysis, CRM solution design, implementation management, integration planning, configuration, deployment, issue resolution, budgeting, risk tracking, user training, adoption support, and stakeholder management. The role also coaches team members, reviews deliverables, and identifies AI-enabled improvements to operational efficiency and client outcomes.

Lead client-facing Microsoft Dynamics 365 ERP and AI/Copilot solution architecture programs. Translate business requirements into functional designs, implementation plans, configurations, testing, training, and deployment activities. Direct complex workstreams, improve processes and controls, resolve risks, communicate recommendations to stakeholders, build client relationships, and coach consulting teams through ambiguity and change.

Assists with corporate, partnership, multistate, and international tax return preparation, compliance, research, planning, and reporting. Supports tax strategy development, tax provisions, modeling, regulatory compliance, and data analytics initiatives while collaborating with teams and clients across industries. The role is designed for accounting students or recent graduates developing tax consulting expertise and progressing toward CPA eligibility.

Leads a team developing, validating, and publishing mechanical vehicle service information across the vehicle lifecycle. Responsibilities include people leadership, technical direction, vehicle launch support, warranty reduction, authoring-system transition, process improvement, and evaluation of AI, automation, and analytics. The role partners across engineering, aftersales, warranty, quality, and related organizations to improve service content accuracy, usability, and efficiency.

Leads global, cross-functional Services Engineering programs focused on product supportability, serviceability, telemetry, automation, AI, cost optimization, operational efficiency, and customer experience. Translates business needs into technical requirements, establishes support processes, manages senior stakeholders, and coordinates teams of more than 20 resources across countries. Drives change, improves service delivery, mentors team members, and delivers measurable outcomes across Engineering, Product Management, Operations, Enablement, and business units.

Leads IT partnership and technology delivery for a new advanced manufacturing facility. Coordinates enterprise IT, operational technology, architects, vendors, service providers, and project stakeholders across infrastructure, cybersecurity, cloud, networks, applications, data, and manufacturing systems. Establishes governance, architecture reviews, support models, roadmaps, documentation, training, and operational ownership. Guides technology decisions, manages risks and dependencies, and transitions solutions from project delivery into reliable long-term operations. The role requires onsite work in Sanford, North Carolina, extensive travel during construction and startup, and cross-functional technology leadership.

Leads customer and partner engagements, applied research, thought leadership, and proofs of concept using the ServiceNow platform and emerging technologies. Develops workshops, technical collateral, strategic insights, operational frameworks, and portfolio initiatives while collaborating with engineers, futurists, product managers, account teams, and external stakeholders. Represents research through publications, presentations, conferences, and industry commentary to influence ServiceNow strategy and innovation.

Conduct imagery and geospatial intelligence analysis supporting NGA, including photointerpretation, multi-INT exploitation, target identification, order of battle analysis, and GEOINT reporting. Create, annotate, review, and verify machine learning training data for AI platforms. Use GIS and imagery exploitation software, perform targeting and precision point mensuration, maintain geospatial data, and collaborate in a demanding intelligence environment.

Leads Mastercard’s Open Finance data science strategy and global organization. Oversees production-grade AI and machine learning solutions for transaction categorization, entity extraction, fraud detection, credit risk, propensity modeling, personalization, and financial insights. Partners with Product, Engineering, Sales, Risk, Marketing, Legal, and Compliance to commercialize scalable solutions, establish MLOps and governance practices, ensure responsible AI, and grow high-performing data science teams.

Leads Mastercard’s global AI Engineering organization, driving enterprise AI products and agentic AI solutions from design through production, adoption, and measurable business value. Builds reusable AI assets, orchestration patterns, and automation capabilities while ensuring reliability, security, privacy, governance, compliance, and operational excellence. Partners across engineering, infrastructure, data, security, risk, product, and business teams, and develops high-performing global engineering leaders and teams.

Leads Mastercard’s global AI Engineering organization, overseeing enterprise AI product delivery from design through production and adoption. Builds reusable AI assets, agentic AI solutions, orchestration patterns, and workflow automation while ensuring reliability, scalability, security, governance, compliance, and operational excellence. Partners across technology, product, risk, and business teams to deliver measurable outcomes. Develops engineering leaders and high-performing global teams in a regulated enterprise environment.

Drive product development for Mastercard’s commerce media and AdTech solutions. Responsibilities include defining product concepts, requirements, roadmaps, MVPs, workflows, and technical features; partnering with Engineering, Data Science, CX&D, TPMs, and business stakeholders; supporting go-to-market strategy and business cases; conducting market research; managing global workstreams; and mentoring junior product managers.

Drive development and roadmap delivery for Mastercard’s commerce media and AdTech products. Own product concepts, requirements, prioritization, milestones, features, and workflows across advertiser solutions, campaign automation, creative decisioning, offers optimization, audiences, and identity resolution. Partner with Engineering, Design, Data Science, Sales, Legal, Privacy, and global stakeholders to translate strategy into products, support go-to-market initiatives, develop business cases, conduct research, and mentor junior product managers.

Drive product development for Mastercard’s commerce media and AdTech solutions. Responsibilities include defining concepts and requirements, managing roadmaps and backlogs, prioritizing milestones, partnering with Engineering, Data Science, CX&D, and TPM teams, supporting go-to-market activities, researching new product opportunities, and mentoring junior product managers. The role focuses on campaign automation, creative decisioning, offers optimization, audience and identity capabilities, and evolving advertising products.

Leads major cross-department software initiatives from scoping through delivery, establishes technical roadmaps, evaluates technologies through proofs of concept, and guides strategic decisions. Oversees quality assurance, compliance, documentation, standards, and secure software delivery. Mentors teams, manages stakeholders and vendors, supports process improvement, and drives measurable productivity gains. Requires strong software engineering expertise, Java/Spring or Python coding, AWS, Databricks or Snowflake, and experience applying AI in software design.

Leads Mastercard’s Open Finance data science strategy, products, and global organization. Oversees production machine learning and AI capabilities for transaction categorization, entity extraction, fraud detection, credit risk, personalization, and predictive analytics. Partners with Product, Engineering, Sales, Risk, Marketing, Legal, and Compliance to commercialize scalable, explainable, and responsibly governed solutions. Builds talent, establishes operating standards, drives MLOps and model governance, and advises executives and customers on AI applications.

Leads Mastercard’s global AI Engineering organization, overseeing the delivery and scaling of enterprise AI products, agentic AI solutions, reusable AI capabilities, and intelligent automation. Owns end-to-end engineering execution, production readiness, security, governance, reliability, adoption, and measurable business outcomes. Partners across technology, risk, security, product, and business teams while developing a high-performing global organization of AI engineering leaders and engineers.