Top Artificial Intelligence Jobs

Own product surfaces end to end, translating founder-framed strategy into specifications, design direction, agent-built implementation, and measurable growth experiments. Lead an incentive-driven consumer verification product, protect contribution quality against gaming, and run pre-registered ship-or-kill tests. Work directly with the founder, designer, and engineers in an AI-native environment focused on verified commerce truth, agent-powered development, and high-traffic consumer surfaces.

Lead UX design for Morgan Stanley’s Wealth Management Advisory Platform. Design intuitive workflows, information architectures, prototypes, service blueprints, and scalable experiences for financial advisors. Set UX direction for complex enterprise features, define journeys and roadmaps, synthesize research, and partner with Product, Engineering, Legal, Compliance, Risk, and Operations. Apply AI to application design and Figma-based asset production while delivering holistic solutions across the Wealth Management ecosystem.

Advises Chief Product Officers at high-tech organizations, managing executive client relationships and connecting leaders with Gartner research, analysts, and peer communities. Develops tailored value plans, facilitates executive forums and webinars, supports research, and collaborates with Sales and Client Service teams to drive client retention, renewals, and growth. The role requires deep product leadership or consulting experience, strong executive presence, and expertise in enterprise application, infrastructure, or security software markets.

Responsible for the full recruitment lifecycle in technology domains, managing 20-25 roles while promoting diversity and building pipelines of skilled candidates.

Own the strategy and execution of employer growth initiatives focused on new SMB employer acquisition, reactivation, and partnerships. Lead the product roadmap, growth experimentation, metrics, product discovery, user research, and AI-powered experiences. Partner with Engineering, Design, Data Science, Marketing, Sales, and job-seeker product teams to improve the employer acquisition journey, support product-led growth, and strengthen marketplace outcomes.

Lead technical project success for enterprise AI infrastructure engagements. Collaborate with engineers, clients, and account leaders to capture requirements, decisions, dependencies, risks, and tradeoffs. Track constraints involving security, compliance, data sovereignty, procurement, and restricted environments. Maintain project visibility, align deliverables with business objectives, resolve issues, support implementation-to-operations handoffs, and identify expansion and renewal opportunities. Translate complex technical concepts for engineering, business, and executive stakeholders.

Lead product security initiatives for cloud, AI, and enterprise platforms. Responsibilities include threat modeling, security architecture reviews, identifying systemic weaknesses, developing secure-by-design guidance and reference architectures, advising engineering and product leaders, leveraging AI and automation for scalable security assessments, investigating emerging attack paths, mentoring teams, and improving security review methodologies and tooling.

Leads engagement strategy and a team of seven marketing professionals delivering data-driven member communication programs. Owns annual planning, budgets, operational governance, AI integration, scalable marketing playbooks, performance analysis, and targeted account interventions. Partners with Customer Success, Operations, Product, Brand Marketing, Analytics, and Finance to improve utilization, customer outcomes, retention, and operational efficiency across complex employer accounts.

Lead analytics strategy across eCommerce, content, advertising, and live events. Partner with executives to turn complex data into actionable business recommendations, identify opportunities and risks, shape the analytics roadmap, and guide data investments. Manage and develop a team of three analysts while using AI, automation, scripting, statistical analysis, and BI tools to accelerate decision-making and improve business outcomes.

Own system requirements, architecture, integration, verification, performance testing, reliability analysis, and failure resolution for autonomous flying robots. The role coordinates mechanical, electrical, embedded, and autonomy disciplines; analyzes flight telemetry and field data; develops test infrastructure and diagnostic processes; performs product bring-up; and drives root-cause analysis and cross-functional issue resolution.

Analyze business processes, data quality, and datasets to identify AI and automation opportunities. Translate business requirements into AI/ML use cases, collaborate on model development, evaluate model performance, and deliver dashboards and reports. The role also supports data validation, AI solution monitoring, emerging technology research, governance, compliance, responsible AI, prompt engineering, and generative AI initiatives while partnering with business, data science, engineering, and product teams.

Develops armament system architectures using Model-Based Systems Engineering. Defines capabilities, performance requirements, technology constraints, external interfaces, implementation approaches, and operational concepts. Collaborates with systems engineers and customers to verify requirements and evaluate system performance across the product lifecycle. The role requires systems architecture or MBSE expertise, SysML and UAF knowledge, PLM tools experience, and the ability to obtain a Secret clearance.

Manage and optimize paid search, paid social, and programmatic display campaigns across multiple clients. Develop performance strategies, monitor budgets and bidding, analyze campaign and customer data, create reports, improve client ROI, collaborate with creative and account teams, identify upsell opportunities, and stay current on AI-driven advertising and digital media trends.

Build and operate core AI observability services: design, implement, and deliver large-scale cloud services; own development lifecycle and production readiness; collaborate with product and stakeholders; drive DevOps culture; engage customers and improve availability, reliability, performance, and observability of AI agent products.

Monitor compliance alerts, investigate trading exceptions, maintain security master data, analyze compliance reports, and support real-time trade approvals. The role partners with Technology and Compliance teams to implement automated controls, resolve data and technology issues, manage projects, improve monitoring processes, and integrate artificial intelligence into compliance tools. Candidates need investment industry compliance experience, asset-class knowledge, data analysis skills, strong communication, and project management ability.

Own the multi-year strategy and roadmap for a portfolio of FDA-regulated, AI-driven cardiovascular medical products. Define product requirements, performance targets, intended use, evidence and regulatory strategies, and care-pathway integration. Lead cross-functional alignment across engineering, clinical, regulatory, quality, UX, marketing, and support without formal authority. Engage physicians, health systems, and key opinion leaders while communicating portfolio risks and progress to executives. The role requires deep medical-device product management experience, cardiovascular or diagnostic expertise, and strong validation and regulatory judgment.

Lead strategic customer success for large financial institution clients using AI-driven fintech SaaS solutions. Manage onboarding, adoption, renewals, expansions, and client advocacy while serving as the primary executive contact. Collaborate with Product, Engineering, Data Science, Marketing, and Sales to align client needs with the product roadmap, improve engagement processes, and ensure delivery against project and contractual commitments. Occasional travel to client sites is required.

Develops integrated in vitro toxicology experiments and computational solutions to predict and understand drug safety risks. Responsibilities include designing cell-based assays, generating reproducible data, building analytical pipelines and predictive models, integrating multimodal toxicology and clinical datasets, and creating decision-support tools. The role leads cross-functional initiatives, translates between laboratory and computational scientists, evaluates AI and machine learning approaches, and communicates findings to technical and non-technical stakeholders.

Leads enterprise innovation product strategy, managing a portfolio of emerging technology initiatives, experiments, pilots, and MVPs. Partners with executives, business units, engineering, data, AI, and platform teams to identify opportunities, build business cases, prioritize investments, and scale digital capabilities. Oversees Product Owners and Business Analysis leaders, establishes innovation governance, measures value realization, and drives adoption of AI, machine learning, automation, and advanced analytics across the enterprise.

Supports financial planning and analysis through monthly reporting, trend analysis, forecasting, financial modeling, tax reconciliations, and process improvements. The intern will help automate reporting with Power BI and AI tools, analyze financial and operational data, collaborate with Finance and business stakeholders, and communicate findings through presentations and data-driven storytelling.

Leads Harvey’s Admin product design and Platform design system teams. Owns product strategy, design-system governance, AI tooling for design, customer-centered workflows, team building, and cross-functional design leadership. Partners with Product and Engineering to deliver high-quality AI-powered experiences, establish scalable design practices, and improve adoption, rollout speed, and measurable customer outcomes.

Lead Harvey’s Admin product design and Platform design system teams. Drive strategy, customer-centered workflows, knowledge management, governance, AI tooling, and high-quality product experiences. Build and develop a team of product designers, establish design standards, guide cross-functional execution with Product and Engineering, and influence company-wide design practices, operating models, and culture.

Define AppZen’s B2B payments product strategy, select and manage payment infrastructure partners, and own payment integrations from architecture through production. Design payment execution, monitoring, reconciliation, fraud prevention, and AI automation within enterprise controls. Translate complex payment requirements into scalable capabilities while collaborating with engineering, legal, compliance, sales, customer success, marketing, and external providers. The role requires hands-on experience with payment products, processors, banks, APIs, and enterprise payment lifecycles.

Advise local government customers on GIS solutions, demonstrate ArcGIS capabilities, and support account teams with sales strategies. Design and propose solutions addressing complex business challenges, explain GIS value, provide deployment and administration best practices, troubleshoot technical issues, and present to technical and nontechnical audiences at customer meetings, conferences, and trade shows.

Develop algorithms, models, and analytical systems to transform complex structured and unstructured datasets into actionable insights. Collaborate with clients to define questions, gather and clean data, apply statistical and scientific methods, and support decisions across areas such as fraud detection, cancer research, and national intelligence. The role requires R or Python, advanced quantitative skills, and an active TS/SCI clearance with polygraph.