Top Artificial Intelligence Jobs

Build and lead production machine learning capabilities for Snapchat+ subscription growth and monetization. Responsibilities include developing personalization, ranking, propensity modeling, offer decisioning, retention, and lifecycle optimization systems; translating ambiguous business problems into ML solutions; conducting experimentation; deploying scalable services; and establishing technical direction. The role partners with Product, Data Science, Backend, and Mobile Engineering teams while measuring impact on revenue, subscriber value, and retention.

Customer Engineer responsible for onboarding and supporting strategic customers, guiding product setup and adoption, advising on data curation for Hex AI, delivering training, and answering technical questions. The role builds customer relationships, identifies reusable implementation patterns, gathers product feedback, and informs roadmap priorities. Candidates should have technical customer-facing experience, fluency in SQL and Python, familiarity with modern data tooling, strong communication skills, and the ability to solve ambiguous problems strategically.

Lead Hex’s context platform engineering team, driving technical strategy, design reviews, hands-on development, people management, and talent recruitment. The role focuses on AI agent behavior, context systems, data-intensive products, and SaaS platforms. The Engineering Lead will establish technical standards, develop engineers, build high-performing teams, and guide the platform’s strategy and execution.

Leads Dragos Public Sector’s post-sales technical team, mentoring subject matter experts and driving customer adoption, operationalization, and measurable platform value. The role manages customer escalations, stakeholder relationships, product feedback, roadmap advocacy, team processes, performance metrics, and AI-enabled improvements. It requires industrial cybersecurity expertise, SIEM experience, advanced network traffic analysis, U.S. citizenship, and willingness to travel up to 25%.

Own a portfolio of post-sale customers, serving as their primary liaison and driving security-focused success plans, deployment, adoption, configuration, risk mitigation, renewals, and expansion. Partner cross-functionally with Sales, Product, Engineering, and executives; advise customers on security posture and integrations; build scalable playbooks and AI workflows; and mentor other CSMs.

Supports AI engineering initiatives at Vantor, contributing to spatial intelligence solutions and helping develop technologies that enable customers to understand current and future conditions. The posting provides limited role-specific responsibilities but emphasizes problem-solving, innovation, collaboration, and mission-focused work. Applicants must qualify as a U.S. Person under applicable export control and ITAR requirements.

Build and own scalable full-stack mobility platform features across databases, backend APIs, and user interfaces. Collaborate with UX, product, and engineering teams to deliver high-quality experiences for high-throughput environments. Lead projects from inception through production, improve performance and reliability, champion engineering best practices, mentor junior engineers, and evaluate tools and frameworks for continuous platform improvement.

Develop, test, maintain, and support secure, scalable software applications and services. Translate requirements into maintainable components, contribute to APIs, microservices, distributed and event-driven systems, and maintain automated tests. Collaborate with Product, QA, Security, DevOps, and Operations teams while supporting cloud applications, monitoring performance, troubleshooting issues, and contributing to CI/CD, observability, reliability, and secure coding initiatives.

Leads architecture, development, testing, implementation, and support of enterprise Workday applications using Extend and integrations. Designs scalable frameworks, APIs, security models, automation, and engineering standards. Partners with product, security, business, and engineering teams in Agile delivery, mentors engineers, oversees technical governance, improves workflows, supports production issues, and advances platform modernization through AI, observability, and reusable components.

Leads architecture, development, testing, implementation, and support of enterprise Workday applications using Extend and integration technologies. Designs scalable frameworks, APIs, security models, automation, and engineering standards; guides Agile delivery across multiple teams; mentors engineers; optimizes workflows and business processes; supports production issues; and drives modernization through AI, observability, reusable components, and continuous improvement.

Leads architecture, development, testing, implementation, and support of enterprise Workday applications using Workday Extend and integration technologies. Designs scalable frameworks, APIs, security models, automation, and engineering standards; mentors engineers and guides delivery across Agile teams. Partners with business, product, security, and engineering stakeholders to modernize HR technology, optimize workflows, resolve production issues, and improve platform reliability, efficiency, and employee experiences.

Provide personalized customer support by phone, text, email, and social media. Guide business owners through payroll account setup, resolve escalated issues, and build strong customer relationships. Use AI to create support macros, Help Center content, and workflows, while improving processes and supporting customer acquisition, satisfaction, and retention goals.

Lead discovery, research, strategy, and development of financial tools for small business card customers. Define product requirements, epics, metrics, and prioritization while partnering with design, architecture, engineering, marketing, and servicing teams. Use customer feedback, analytics, market insights, experimentation, and user research to launch customer-facing capabilities that improve expense management, engagement, and satisfaction. Manage stakeholder communications and delivery tradeoffs throughout the product lifecycle.

Lead HR data privacy governance, compliance, incident management, and risk mitigation across global workforce data operations. Manage cookies and digital tracking controls, data protection impact assessments, Records of Processing Activities, privacy incidents, and emerging regulatory requirements. Partner with Legal, Compliance, Cybersecurity, and Technology Controls to establish data protection guardrails and influence senior stakeholders across the United States and Latin America.

Execute and reconcile daily trading activities from order entry through settlement, resolve discrepancies, monitor accounts, and ensure regulatory compliance. Prepare trading reports, support process improvements, manage ad hoc projects, and provide service to internal and external clients. The role also involves presenting insights to management, adopting automation and AI technologies, and mentoring junior team members.

Leads technology resiliency governance across an asset and wealth management application portfolio. Oversees disaster recovery, cyber recovery, data restore, and sustained operations testing; maintains documentation, evidence, taxonomy alignment, and control compliance. Produces audit-readiness reporting, identifies emerging risks, coordinates remediation, and advises application owners. Also supports production incident, problem, and change management, observability, service restoration, and responsible adoption of enterprise AI for operational workflows.

Leads AI consulting engagements for payer organizations, translating business challenges into prioritized use cases, solution designs, implementation roadmaps, and measurable value cases. Manages client relationships, multidisciplinary teams, project economics, scope, schedules, staffing, and risk. Partners with sales on proposals and statements of work while developing reusable offerings. Integrates privacy, security, regulatory compliance, model risk, and responsible AI principles into healthcare solution delivery.

Lead Flex’s product compliance function across lending and payments, embedding regulatory oversight throughout the product lifecycle. Build scalable governance, risk-tiered reviews, and AI-enabled compliance workflows, including automated monitoring and agent-based review systems. Partner with Product, Engineering, Legal, Risk, Marketing, bank partners, and regulators to guide compliant innovation, resolve issues, and strengthen controls. Lead and develop the product compliance team in a high-growth fintech environment.

Drive new-business sales for ServiceNow’s OT and cyber-physical systems portfolio across state and local government accounts in the US West. Responsibilities include territory and account planning, prospecting, relationship development with cybersecurity and operations leaders, coordinating virtual sales teams and partners, advising customers on OT risk and regulatory needs, and negotiating deals. The role requires government sales experience, cybersecurity or OT/ICS solution-selling expertise, strong executive relationships, and a record of exceeding sales targets.

Owns ServiceNow’s enterprise performance evaluation and calibration framework. Develops rating standards, performance philosophy, leader guidance, and calibration processes that promote fair, consistent outcomes. Partners with Compensation, HRBPs, Product, technology, and enablement teams to improve evaluation tools and processes. Advises senior leaders, identifies systemic inconsistencies, scales global programs, and explores AI applications that reduce bias while preserving human judgment.

Lead complex global technology programs from planning through delivery, managing technical requirements, milestones, dependencies, resources, risks, governance, and stakeholder alignment. Collaborate with software development, quality assurance, and business teams to deliver measurable outcomes. Monitor progress, manage changes, provide executive updates, and ensure delivery assurance. Apply enterprise-authorized AI capabilities to accelerate planning and reporting while validating outputs and following data-sensitivity requirements.

Own technology portfolio planning, investment governance, executive reporting, data quality, risk controls, audit readiness, and process improvement. Partner with Engineering, Product, Finance, and business stakeholders to manage priorities, budgets, dependencies, and delivery health. Lead adoption and governance of AI-enabled and agentic workflows with human validation, traceability, security, and operational risk controls.

Own the global CRM product supporting Pfizer’s customer-facing commercial, medical, access, and sales colleagues. Responsibilities include shaping the product roadmap, gathering requirements, prioritizing enhancements, demonstrating solutions, writing user stories, supporting agile delivery and UAT, measuring business impact, managing vendors, and ensuring scalable, compliant technology standards. The role partners with engineering, UX, operations, legal, regulatory, and privacy teams while supporting next-generation AI-enabled CRM capabilities.

Owns technical product capabilities for ServiceNow University’s AI-native learning and credentialing experiences. Defines strategy, roadmaps, requirements, reusable platform capabilities, integration patterns, and measurable outcomes. Partners with Engineering, Architecture, Design, Research, Data, and platform teams to deliver scalable, secure, accessible, and enterprise-ready experiences involving personalization, conversational interfaces, learner data, search, recommendations, and AI technologies.

Own the strategy and roadmap for fraud risk case resolution, including AI-assisted review, automation, self-service, and case management. Partner with Risk Operations, Engineering, Data Science, Analytics, and Compliance to define scalable workflows, requirements, metrics, auditability, and resolution paths. Use operational data to improve automation, decision quality, workload reduction, customer self-service, and cost while supporting regulated risk processes such as anti-money laundering and Responsible Gaming.