Top Artificial Intelligence Jobs

Leads product strategy and execution for AI training-data capabilities, including data collection, procurement, annotation, human-in-the-loop workflows, quality controls, and feedback systems. Partners with ML Engineering, operations, and subject matter experts to improve model accuracy, throughput, development speed, and cost. Establishes metrics, scales data pipelines, mentors product managers, and drives 0-to-1 initiatives across multiple collection sites.

Lead early sales efforts for an AI humanoid robotics startup, converting customer interest into signed contracts and scaling deployments from initial customers to 1,000 robots. The role requires navigating complex organizations, understanding robotics applications, working directly on warehouse floors, collaborating with engineering teams, resolving deployment challenges, and helping build the company’s future sales organization.

Leads advanced manufacturing and continuous improvement initiatives across plant operations. Develops automation roadmaps, business cases, capital requests, and ROI analyses; manages robotics, machine vision, AI, and process automation projects through commissioning and operational handoff. Uses Lean, Six Sigma, A3, DMAIC, Kaizen, TPM, and data analysis to improve safety, quality, reliability, productivity, cost, and OEE. Coordinates cross-functional teams, vendors, OEMs, and system integrators while verifying sustained benefits.

Designs end-to-end AI solutions for healthcare provider clients, redesigns clinical and administrative workflows, prioritizes AI use cases, and translates solutions into implementation roadmaps and measurable outcomes. Leads client discovery sessions and executive presentations, supports implementation and system optimization, develops training materials, and partners with governance and compliance teams to ensure responsible AI adoption.

Build and deploy production-grade LLM agents and RAG pipelines that detect, triage, and remediate platform and application issues. Design orchestration, tool calling, guardrails, evaluation frameworks, observability integrations, and secure AI infrastructure. Optimize prompts, models, retrieval, cost, latency, and quality while partnering with SRE, InfoSec, and platform teams. Develop APIs, testing workflows, and reusable enterprise AI components.

Own success, retention, financial performance, and growth for strategic B2B partner accounts. Serve as the primary relationship owner, coordinate cross-functional product, data, operations, and finance initiatives, produce performance reporting and business reviews, resolve escalations, promote new offerings, and build executive-level trust. The role requires strong financial acumen, data storytelling, responsiveness, independent ownership, and approximately 5–10% travel.

Owns retention, financial performance, reporting, escalations, and growth for a portfolio of strategic B2B partners. Serves as the primary relationship owner and internal advocate, coordinating product, data, operations, and finance teams to deliver partner value. Builds executive trust, leads business reviews, champions product adoption, identifies expansion opportunities, and ensures commitments are completed. The role requires strong financial acumen, data storytelling, communication, ownership, and approximately 5–10% travel.

Leads payments governance and third-party oversight, including risk assessment, control evaluation, due diligence, monitoring, issue remediation, and regulatory compliance. Manages a multidisciplinary team, modernizes governance through automation and analytics, directs transformation programs, and advises senior stakeholders on risk posture, escalations, and readiness decisions across the payments ecosystem.

Leads revenue operations across Sales and Advisor Services, managing commercial processes, CRM strategy, routing, funnel intelligence, automation, enablement, and vendor partnerships. The role improves qualification, conversion, advisor support, reporting, data quality, and operational scalability through process redesign, AI, self-service, and workflow automation. It partners cross-functionally with Sales, Product, Engineering, Data, and external agencies to implement and optimize revenue infrastructure.

Ten-week full-time summer internship supporting hypothesis-driven nonclinical drug discovery and development projects. Interns may conduct laboratory work, literature and data reviews, programming, computational analyses, scientific writing, and presentations across areas such as toxicity, pharmacokinetics, bioanalytical methods, formulation, drug delivery, AI, bioinformatics, and animal welfare. The role emphasizes critical thinking, data integrity, collaboration, mentoring, and communicating scientific findings.

Provides proactive, consultative executive support to multiple business owners and senior leaders. Manages client relationships, action plans, priorities, workflows, deadlines, delegated work, and executive communications. Identifies process bottlenecks, recommends improvements, coordinates projects, monitors retainer usage, and uses technology and automation to improve efficiency. Also performs administrative tasks such as calendar and inbox management, scheduling, research, travel logistics, and documentation.

Define and scale autonomous agricultural machinery products through customer research, experimentation, roadmap prioritization, system requirements, and cross-functional delivery. Partner with engineering and commercial teams on hardware, embedded software, computer vision, machine learning, navigation, controls, and mobile solutions. Use data, field feedback, and performance metrics to improve adoption, customer confidence, mission quality, and product impact.

Own enterprise AI engagements from signed SOW through production deployment, adoption, renewal, and expansion. Lead client relationships, executive steering committees, delivery teams, scope, timelines, risks, staffing, P&L, margins, and change orders. Ensure measurable business impact, production readiness, and stakeholder confidence while guiding technical delivery without writing code. Requires strong financial-services consulting or delivery experience, AI/ML production-program leadership, technical fluency, and New York metro availability for frequent client onsite work.

Build Brain Co.'s financial-services sales business by creating demand, sourcing and qualifying opportunities, developing value cases, leading complex technology engagements through multimillion-dollar close, and coordinating security, legal, procurement, and delivery handoffs. The role also informs product strategy, develops repeatable sales practices, and manages enterprise relationships across banking, lending, wealth management, and real estate investing.

Owns Nike’s technology hardware and software procurement portfolio, developing category and supplier strategies, managing stakeholder alignment, prioritizing sourcing pipelines, negotiating complex agreements, and overseeing strategic supplier relationships. The role uses market intelligence, financial analysis, AI tools such as Microsoft Copilot, and executive-level recommendations to create enterprise value across infrastructure, artificial intelligence, and enterprise software categories.

Owns end-to-end customer planning for retail accounts, including collaborative forecasting, demand planning, replenishment, inventory management, import orders, and order execution. Leads CPFR collaboration with customers and internal teams, monitors service and inventory metrics, supports S&OP, performs root-cause analysis, and drives process improvements using advanced analytics, AI-enabled planning tools, and reporting platforms.

Drive strategy, roadmaps, and cross-functional programs for AI safety measurement and evaluations. Partner with researchers, data scientists, engineers, policy teams, and product stakeholders to define safety outcomes, improve measurement platforms, integrate AI safety research, establish success criteria, resolve technical tradeoffs, and communicate quantitative progress to senior leadership.

Develop semiconductor product yield methods, models, and analytics for advanced logic process nodes. Analyze fab, defect, electrical, and process data using statistics, machine learning, and coding to identify yield limiters and root causes. Drive process improvements, manufacturability, product introductions, design-technology co-optimization, and design of experiments. Build measurement recipes, computational tools, and AI/ML applications while collaborating with design teams, equipment vendors, and manufacturing organizations.

Develop software frameworks, simulation environments, automation tools, and AI-assisted workflows for DRAM architecture research. Analyze memory architectures through modeling, simulation, performance, power, bandwidth, latency, and workload studies. Collaborate with architects and researchers to document methods, present findings, and support future memory technology strategies.

Investigate and respond to security events, alerts, incidents, and user-reported concerns across the firm. Serve as an escalation point and subject matter expert for SIEM, detection, and response technologies; build queries, correlation rules, dashboards, and procedures. Analyze logs, document investigations, support users, and recommend security improvements. Monitor AI-related threats including prompt injection, data exposure, misuse, and AI-assisted attacks while validating AI-generated security findings and automated actions.

Own enterprise new-logo acquisition from prospecting through close. Build pipeline, conduct value-based sales cycles with senior stakeholders, deliver product demos, negotiate contracts, manage forecasts in Salesforce, and partner with Marketing and Business Development. The role requires full-cycle B2B SaaS sales experience, quota attainment, AI-assisted selling, and the ability to sell workplace, facilities, HR, IT, finance, or real estate solutions.

Develop software platforms and AI-enabled workflows for DRAM and memory-system architecture research. Support architecture exploration, simulation, data analysis, and technical decision-making for next-generation memory technologies while combining computer architecture, DRAM systems, software development, and artificial intelligence.

Leads discovery, strategy, development, launch, commercialization, and adoption of logistics-focused data, analytics, SaaS, and AI products. Conducts market and customer research, defines requirements and roadmaps, develops pricing and business cases, partners with engineering and cross-functional teams, manages product risks, and drives customer value, revenue growth, and product performance.

Drive enterprise SaaS sales across new and existing accounts, targeting Fortune 2000 consumer organizations. Identify business challenges, present Anaplan’s AI-powered planning platform to C-suite stakeholders, manage complex sales cycles, forecast opportunities, and expand customer relationships through cross-selling and up-selling. Collaborate with sales development, marketing, solution consulting, and customer success teams while consistently achieving quota.

Drive enterprise SaaS sales across greenfield and existing accounts, targeting Fortune 2000 consumer organizations. Identify business challenges, present Anaplan’s AI-powered planning platform to C-suite stakeholders, manage opportunities through close, forecast accurately, and expand customer relationships through cross-selling and upselling. Use data-driven outbound campaigns and value-based sales methodologies while collaborating with sales development, marketing, solution consulting, and customer success teams.