Top Artificial Intelligence Jobs

Leads multiple product squads across experience delivery, owning team direction, staffing, delivery quality, evidence-based discovery, launch readiness, and post-launch outcomes. Manages hiring, coaching, performance, capacity, and development of individual contributors into leaders. Partners with Product Strategy, Engineering, Design, Platform, and Marketing while maintaining craft standards, acceptance criteria, instrumentation, and responsible AI practices.

Leads data ownership and governance for data products, defining metadata, quality, controls, integration, and risk mitigation. Partners with business, analytics, technology, and engineering teams to deliver curated datasets and production-ready solutions. Uses advanced SQL for validation and root-cause analysis, manages workstreams and staff, and supports analytics and machine learning use cases. Applies AI and LLM tooling to automate governance activities and maintains data integrity across regulated environments.

Leads marketing data and analytics initiatives that improve audience targeting, campaign execution, measurement, and operational reliability. Translates business objectives into technical requirements, designs data and audience management approaches, develops quality monitoring and reporting, manages issue resolution, and partners with Product and Technology on platform enhancements. The role also identifies responsible AI applications, establishes governance and controls, and supports measurable, repeatable delivery across digital marketing channels.

Supports clients through complex business and technology transformations by developing change strategies, conducting stakeholder and readiness assessments, creating communications and training, facilitating workshops, managing resistance, and tracking adoption outcomes. The consultant partners with leaders, project teams, and subject matter experts across initiatives such as digital implementations, operating model changes, organizational redesign, and workforce transformation.

Lead the modernization of Chewy’s fulfillment technology and warehouse management systems. Define architecture, write production code, build resilient cloud and edge systems, develop mobile warehouse applications, establish workflow and integration patterns, and integrate analytics, AI, robotics, and decisioning systems. Provide technical direction across teams, lead design and code reviews, improve engineering practices, and mentor engineers while ensuring high availability, observability, auditability, and operational continuity.

Leads a regional CRM sales organization focused on new business growth, territory strategy, pipeline generation, forecasting, quota achievement, and customer expansion. Recruits, coaches, and manages Sales Executives while partnering with Sales Operations, Marketing, Professional Services, Solution Consulting, business units, and partners. Builds executive-level customer relationships, supports opportunity development and closing, and drives strategic sales execution across the manufacturing sector.

Manage AI and machine learning products for materials science, including customer demonstrations, roadmap planning, product expansion, ML model development, and leadership of the materials science ML team. The role requires deep expertise in materials science and ML, software-industry experience, customer engagement, public presentations, and global travel.

Leads a data science team within wealth management, delivering analytics, machine learning, experimentation, and AI solutions that improve client outcomes, product performance, and operational efficiency. Partners with product, strategy, and operations leaders to define problems, metrics, and recommendations. Oversees modeling, client behavior analysis, experimentation frameworks, executive communication, and AI use-case development while coaching team members and managing performance.

The GRC Analyst manages third-party risk assessments, vendor due diligence, security policies, risk analysis, internal audits, and SOC 2 audit support. The role involves maintaining the GRC program, tracking findings, coordinating stakeholders, promoting security awareness, and using AI and machine learning to automate compliance processes. Candidates should have 1–2+ years of relevant experience, strong communication skills, and familiarity with risk methodologies, vendor assessments, policies, and compliance audits.

Defines conceptual, logical, and physical data architectures for wealth management data products. Owns data models, taxonomies, metadata, semantic layers, canonical concepts, governance standards, and schema-evolution patterns. Partners with business and engineering stakeholders to deliver scalable, analytics- and AI-ready data solutions across warehouses, lakehouses, APIs, and BI platforms. Applies automation to improve metadata generation and documentation while ensuring controls, versioning, interoperability, privacy, and sustainable architecture evolution.

Supports product roadmaps and feature prioritization for BlackRock’s Aladdin investment platform. Partners with engineering and data teams to deliver AI-powered solutions, enterprise chatbots, automation, and scalable operating models. Conducts user discovery, translates stakeholder needs into product priorities, develops dashboards and reporting frameworks, and promotes quality, reliability, and compliance across product delivery. The role requires strong analytical, technical communication, and cross-functional collaboration skills.

Leads the architecture, technical delivery, integrations, data foundation, reliability, compliance, and continuous improvement of Coupa’s revenue systems stack. Establishes platform standards, roadmaps, automation and AI capabilities, change controls, and incident management practices. Partners with IT, Information Security, Procurement, Finance, and vendors; evaluates and consolidates platforms; and oversees technical delivery across Salesforce and other go-to-market systems.

Leads data, model, and AI risk management for a retail bank. Develops risk frameworks, controls, oversight processes, and mitigation strategies across data quality, lineage, AI usage, cybersecurity, and technology risk. Advises stakeholders, reports risks to senior management, monitors AI lifecycle risks, drives program enhancements, and builds a high-performing risk team.

Develop and maintain ticketing and provisioning applications for Customer Experience Operations. Responsibilities include designing APIs, optimizing routing and case management systems, extracting data from SQL Server and AWS Athena, maintaining CI/CD pipelines, documenting technical workflows, and identifying AI automation opportunities. The role requires collaboration with stakeholders and full-lifecycle application development experience.

Leads the design and modernization of scalable data architecture for economic data platforms, including massive time-series datasets, archival documents, and research publications. Responsibilities include data modeling, metadata and governance design, storage and processing architecture, indexing, discoverability, security, lifecycle management, and API data access optimization. Partners with application architecture and cross-functional teams to deliver highly available, secure, public-facing data platforms supporting analytics and research.

Owns partner health, performance, lifecycle management, and growth strategy. Develops joint go-to-market plans, drives partner pipeline and co-selling, expands into new markets and accounts, conducts business reviews, enables partners, and manages execution risks. Collaborates with field sales, marketing, technical advisors, and operations to improve partner maturity, revenue contribution, project delivery, and scalable sales effectiveness.

Lead the design and product lifecycle of Gusto’s enterprise capability framework and talent development ecosystem. Build modular learning architecture, taxonomies, enablement programs, and workflow-integrated learning solutions. Partner with HR, technology teams, and executives to validate capability needs, prioritize investments, define AI-native skills, and establish scalable content governance. Use data tracking, rapid prototyping, generative AI, and A/B testing to optimize learning experiences and support organizational development.

Lead development of wholesale credit risk models supporting CECL, CCAR, client ratings, and regulatory risk management. Build scalable quantitative methods, high-performance computing solutions, analytics frameworks, and modeling pipelines using large datasets and machine learning. Assess model performance and risk, document methodologies, and communicate results and limitations to credit, finance, technology, governance, and regulatory stakeholders.

Lead FP&A and strategic finance for a high-growth SaaS company. Own long-term planning, forecasting, scenario modeling, variance analysis, investment cases, executive financial narratives, and sales compensation administration. Partner with GTM, Product, and functional leaders to drive decisions, build and scale the FP&A team, modernize planning workflows with AI, and maintain strong financial controls, governance, and data confidentiality.

Leads development, optimization, implementation, and evaluation of AI/ML algorithm solutions for complex datasets and national security applications. The role focuses on computer vision, 3D modeling, multimodal sensor fusion, open-set recognition, and deployment across cloud and edge environments. Responsibilities include collaborating with researchers, engineers, and academic partners; transitioning prototypes into operational capabilities; and communicating results to technical and non-technical audiences.

Leads security engineering across multiple technology domains, clarifies security requirements, supports multi-level network security, and advises stakeholders during vulnerabilities and disruptive events. Performs threat modeling, risk assessment, vulnerability and penetration testing, and validates AI-assisted security recommendations. Designs and implements enterprise security solutions while ensuring security testing, control validation, traceability, auditability, and resiliency throughout software development lifecycles and toolchains.

Leads Fieldguide’s transition to agentic audit operations by translating audit standards and professional judgment into AI workflows, documentation, guardrails, and product requirements. Owns customer transformation frameworks, adoption programs, training, and strategic account engagements. Partners with product, engineering, sales, and customer success; monitors regulatory developments; supports go-to-market activities; and represents the company with firms, regulators, standard-setters, and industry organizations.

Leads engineering teams within Lowe’s Innovation Labs to explore, prototype, pilot, and scale emerging technologies, including applied AI, autonomous agents, robotics, computer vision, and spatial computing. Establishes engineering standards, evaluates architectures, guides R&D portfolios, develops reusable platforms, and coaches multidisciplinary teams. Partners with executives and cross-functional stakeholders to connect technology strategy with customer and business needs, while communicating roadmaps, risks, findings, and recommendations.

Leads HR technology operations and Workday post-go-live stabilization while defining BlackLine’s HR AI strategy. Oversees AI agents, automation, integrations, security, data privacy, governance, vendors, budgets, metrics, and enterprise HR systems. Manages distributed HR IT teams, partners with HR and enterprise IT, builds technology business cases, drives adoption, and communicates strategy to executives and stakeholders.

Leads the design, development, testing, and evaluation of AI and machine learning solutions. Directs data analysis, modeling, infrastructure, monitoring, and integration efforts while establishing standards for AI robustness, bias, explainability, failure modes, and technical controls. Manages large projects, advises clients, coaches teams, and develops reusable evaluation tools and evidence workflows for responsible AI deployment.