Top Artificial Intelligence Jobs

Leads billing, accounts receivable, payment posting, cash reconciliation, denials, refunds, and related back-end revenue cycle operations across a multi-state behavioral healthcare organization. Establishes workflows, controls, productivity standards, dashboards, staffing models, and standard operating procedures; develops teams; resolves system and payer issues; partners with Finance, IT, Compliance, and vendors; and evaluates automation while ensuring regulatory and financial compliance.

Lead enterprise demand generation across aerospace, defense, automotive, and semiconductor markets. Build vertical, account-based, and use-case campaigns; partner with Sales, Product Marketing, Web, SEO, RevOps, and Value Delivery; manage demand-generation budgets; convert customer results into campaigns; run experiments; and measure qualified pipeline and revenue impact. The role combines strategic planning with hands-on execution, including audience research, campaign development, testing, optimization, and creation of repeatable go-to-market playbooks.

Leads complex, cross-enterprise strategy engagements from problem framing through executive decision. Develops market, competitive, scientific, technology, operational, and financial analyses; creates strategic alternatives and recommendations; advises senior leaders; and leads cross-functional project teams without formal authority. The role requires strong executive communication, financial modeling, structured problem-solving, scientific and technology fluency, and practical responsible use of AI to accelerate strategy development.

Lead end-to-end design for new AI-powered consumer experiences across health, finance, and agentic products. Shape product direction, create prototypes, design interactions and visual execution, conduct user research, and establish scalable patterns. Partner with research, engineering, product, safety, and domain experts to create trustworthy experiences that balance domain-specific needs with user control, transparency, and responsible AI behavior.

Own the end-to-end enterprise sales process, including prospecting, pipeline generation, strategic account planning, technical and value-based selling, partnership development, negotiations, and contract closure. Use data and market insights to demonstrate customer ROI, strengthen relationships within the electronics ecosystem, and help build scalable go-to-market processes and sales playbooks.

Chief of Staff supporting the CEO by managing executive cadence, priorities, follow-through, and leadership communications. Builds AI-powered automations and workflows, runs company operating rhythms, supports executive onboarding, and owns cross-functional initiatives. Leads People Operations while supporting business and technology operations. The role requires hands-on execution, strong judgment, discretion, communication, and comfort working independently in a hybrid San Francisco environment.

Leads Cengage’s global marketing technology and data strategy, governance, operations, vendor management, AI roadmap, experimentation, and technology investments. Builds scalable data foundations supporting personalization, measurement, analytics, and compliant data management. Establishes governance, rationalizes platforms, manages budgets and vendors, and partners across Marketing, IT, Sales, Finance, Security, Legal, and Procurement. Recruits, coaches, and develops a high-performing global team while driving adoption, innovation, and operational excellence.

Provides legal counsel to global sales and business teams on complex commercial transactions involving SaaS, hardware, and services. Drafts and negotiates contracts, advises on risk, supervises contracts managers, maintains legal playbooks, and supports contract lifecycle management processes. The role also provides regulatory guidance, negotiates international and government agreements, and helps scale legal contracting operations through process improvements and technology.

Builds and deploys AI-enabled applications, machine learning models, data pipelines, APIs, and decision-support tools for aggregate and asphalt operations. The role optimizes plant automation, production efficiency, uptime, quality, pricing, sales processes, and costs using operational, equipment, quality, GIS, and sales data. It integrates AI with plant systems and legacy software, collaborates across operations and IT, and ensures responsible AI, cybersecurity compliance, documentation, and user adoption.

Leads the transformation and scaling of paid media workflows through AI agents. Develops use cases and requirements, manages deployments from concept to production, establishes governance and controls, supports training and adoption, and tracks KPIs for continuous improvement. Partners with paid media specialists, technology teams, controls functions, and enterprise stakeholders across paid search, programmatic, social, and campaign planning.

Designs scalable systems, leads end-to-end technical execution, drives cross-team initiatives, and contributes hands-on production code. The role maintains engineering standards across architecture, testing, CI/CD, observability, and DevOps; leads incident response and root-cause analysis; mentors engineers; troubleshoots production issues; and aligns technical delivery with product priorities.

Summer 2027 internship opportunities are available across sensors, intelligence, cyber, analytics and command-and-control, systems, operations, and corporate functions. Interns should be enrolled in a BS, MS, or PhD program, demonstrate strong academics and research interest, and be able to obtain a security clearance. The program offers competitive pay, housing at the Massachusetts site, alternate-site bonuses, flexible hours, and summer activities. Roles support advanced defense, intelligence, cybersecurity, sensing, communications, electronic warfare, and artificial intelligence research.

Own marketing outcomes for customer pilots, from scoping use cases through audience activation, campaign measurement, diagnosis, and expansion. Partner with account executives, founders, and forward-deployed engineers to deliver measurable brand results, develop repeatable vertical playbooks, design new customer use cases, and influence the product roadmap. This is a senior individual contributor role based in or requiring relocation to New York City.

Conducts independent and collaborative physical oceanography research on North Atlantic circulation and Atlantic Meridional Overturning Circulation variability. Uses numerical ocean models, mooring observations, satellite altimetry, and potentially machine learning to analyze RAPID-MOCHA and OSNAP data. Develops analytical models, prepares research papers and reports, maintains current scientific knowledge, and collaborates across institutions. A Ph.D. in physical oceanography, atmospheric sciences, or a related field is required.

Designs, engineers, and implements SAP Supply Chain Management solutions across LE, IM, and WM/EWM. Partners with stakeholders to define technology roadmaps, resolve complex business and technical challenges, and deliver scalable solutions. Leads architecture, integrations, testing, automation, analytics, AI, and digital initiatives while ensuring compliance, security, and sustainability. Acts as a trusted technology advisor, manages complex programs, mentors team members, and supports pharmaceutical supply chain operations.

Leads distributed, cross-regional software engineering teams responsible for Conference Tech platform integrations. Drives the integration roadmap, cloud architecture, API-centric and event-driven platform development, engineering excellence, SDLC rigor, quality, responsible AI adoption, and organizational change. Partners with business and IT leaders to deliver secure, scalable enterprise solutions aligned with strategic priorities and improved conference attendee experiences.

Leads DISCO’s Customer Success and Enablement organizations, setting strategy, operating standards, account planning, performance management, training, playbooks, and adoption programs. Partners with Sales, Product, Marketing, Finance, and Professional Services to drive client value and consumption growth. Owns CS technology and AI strategy, Client Advisory Board leadership, enablement evolution, KPI reporting, and development of senior leaders and CSM teams.

Leads DISCO’s Customer Success and Enablement organizations, setting strategy, operating standards, account-planning frameworks, adoption programs, client training, and performance metrics. Manages CS leaders and broader CSM teams while partnering with Sales, Product, Marketing, Finance, and Professional Services. Owns CS technology and AI strategy, client advisory initiatives, and consumption-growth programs. Builds accountable performance cultures and ensures customers realize value from DISCO’s legal technology products.

Owns the end-to-end business partner lifecycle for Teamship, including prospecting, outreach, conversion, onboarding, matching, scheduling, and ongoing support. The role ensures partner commitments are fulfilled, student program spots are filled, and business challenges are clearly scoped. It also improves systems, workflows, and resources for scalable program delivery while building trusted relationships with business leaders, educators, and other stakeholders.

Develop and implement country HR strategies, policies, and procedures while ensuring regulatory compliance. Automate HR workflows using AI, manage HR vendors, advise managers on employee relations and talent development, analyze HR metrics, improve HR practices, and collaborate with global HR teams. The role also supports recruitment and onboarding, promotes an inclusive employee experience, and requires strong HR technology, analytical, communication, and project management skills.

Leads data science initiatives by exploring, cleaning, analyzing, and visualizing structured and unstructured data. Develops predictive models, quantitative analyses, machine learning and NLP solutions, and algorithms that inform client decisions. Guides teammates, leads complex solution development, and works with clients to translate data into actionable insights. May support software integration, testing, scripting, ETL, APIs, and advanced analytics using Python, R, SQL, and related tools.

Lead consulting engagements that help pharmaceutical, biotechnology, and medical device clients develop enterprise data strategies, modernize data ecosystems, and implement AI and analytics transformations. Advise C-suite stakeholders, define roadmaps and business cases, oversee cloud data platform initiatives, support business development, and lead global cross-functional teams. Mentor consultants and contribute to thought leadership, reusable frameworks, and growth across Life Sciences accounts.

Own and grow strategic Life Sciences enterprise accounts, advise senior executives, and expand adoption of analytics, AI, and cloud platforms. Responsibilities include account strategy, growth planning, P&L ownership, executive relationship management, opening new buying centers, supporting proposals, and partnering with delivery and product teams to ensure strong client outcomes. The role requires extensive Life Sciences, consulting, analytics, enterprise software, or senior pharma experience, along with enterprise sales and executive engagement success.

Conduct research on difficult technical problems and develop, test, and improve algorithms spanning AI, machine learning, statistics, optimization, estimation, signal processing, and related fields. Review academic literature, analyze complex data, compare approaches, and adapt research methods to real-world Department of Defense applications. Collaborate with scientists and engineers to integrate algorithms into operational systems, communicate findings, and identify emerging research opportunities.

Develop and execute strategies for OpenAI’s engagement with the U.S. Congress. Build relationships with lawmakers and staff, track legislative developments, coordinate cross-functional policy efforts, prepare briefing materials and leaders for hearings, and represent OpenAI in public and private forums. The role requires substantial Capitol Hill experience, strong bipartisan relationships, knowledge of AI policy, coalition-building ability, and frequent stakeholder travel.