Top Artificial Intelligence Jobs

Leads Waabi’s earned media, executive communications, internal communications, thought leadership, and communications agency relationship. Develops accurate narratives across technology, logistics, transportation, and business media; supports executive visibility; maintains external messaging guardrails; and builds the foundation for a future communications team.

Leads Replit’s global communications strategy, corporate narrative, media and analyst relations, executive and internal communications, crisis response, customer storytelling, policy communications, and international awareness. Builds and scales the communications function, manages agencies, prepares executives, and partners cross-functionally to position Replit in AI, software creation, enterprise transformation, and developer productivity.

Owns new-business sales to large enterprise customers, managing complex opportunities from prospecting through negotiation and close. Builds executive relationships, develops business cases, positions Zendesk’s service and AI solutions, coordinates cross-functional specialists and partners, maintains forecasts and CRM accuracy, and ensures effective post-sale handoff. Requires consultative selling, enterprise SaaS experience, commercial judgment, AI literacy, and success delivering measurable growth outcomes.

Supports strategic account teams serving cloud providers, AI infrastructure companies, hyperscalers, and enterprise customers. Responsibilities include account planning, customer engagement, sales forecasting, opportunity pipeline management, market and customer research, presentation development, and collaboration with sales and technical teams. The role provides early-career exposure to technology sales, business development, solution selling, and account strategy across cloud, AI, networking, optical transport, and data center technologies.

Systems Engineering Interns support ABB projects through engineering analyses, technical documentation, troubleshooting, and research. They collaborate with cross-functional teams, use engineering software and AI tools, explore automation solutions, and help improve system performance and efficiency. The role is onsite/hybrid in Cleveland, Ohio, requires reliable transportation, and is intended for students pursuing engineering or computer science degrees.

Provides high-level executive and administrative support to the EVP, managing complex calendars, domestic and international travel, meetings, communications, strategic initiatives, confidential information, follow-ups, onboarding, engagement activities, and budget administration. The role coordinates across senior leadership and global stakeholders, prepares executive materials, maintains SharePoint resources, anticipates needs, resolves conflicts, and supports operational activities for the function.

Own full-cycle recruiting across Marketing, Finance, Operations, and Engineering. Partner with hiring managers and founders to define roles, develop sourcing strategies, engage passive candidates, manage interviews and offers, and deliver strong candidate experiences. Build scalable recruiting processes for a high-growth startup, track pipeline metrics, provide talent-market insights, and support employer branding and candidate engagement.

Leads the launch and national expansion of FAU’s educational strategy and innovation center. Responsibilities include translating strategy into implementation plans, recruiting and managing staff, overseeing a $10 million grant, developing professional learning programs, scaling school models, building measurement systems and dashboards, managing partnerships, securing sustainable revenue, and communicating results to university, education, government, philanthropic, and corporate stakeholders.

Develop and deploy machine learning and GenSI models, analyze complex datasets, build monitoring and alerting applications, and create data visualizations and reports. Collaborate with clients to solve business and mission challenges, guide algorithm and system development, mentor junior data scientists, review technical work, support project planning, and lead analytical teams while communicating findings to technical and non-technical audiences.

Designs and manages emerging satellite architectures for national security space programs, translating customer IT needs into mission systems solutions. Responsibilities include supporting OPIR and satellite ground systems, interfacing with mission planners and operators, enabling cloud migration, modernizing legacy systems, integrating advanced technologies, communicating software platform capabilities, and mentoring developers. The role supports classified DoD and Intelligence Community environments.

Lead product positioning, go-to-market strategy, launches, customer insights, competitive intelligence, messaging, sales enablement, and thought leadership for AI-driven cybersecurity and authentication products. Translate complex AI and machine learning technologies for technical and business audiences, manage marketing plans and budgets, support customer case studies, and mentor a high-performing product marketing team. Partner closely with Product, Engineering, Sales, Marketing, and executive leadership.

Leads Linktree’s data science and analytics organization, setting strategy across analytics, experimentation, applied ML, and AI. Oversees technical execution, data foundations, forecasting, experimentation infrastructure, governance, monitoring, and production systems. Partners with executives, Product, Engineering, and Design; recruits and mentors leaders; drives data-informed culture and AI adoption; and contributes hands-on to complex technical initiatives and user-facing capabilities.

Leads the organization’s AI strategy, agentic automation, AI platforms, model strategy, governance, security, and product integration. Oversees global engineering teams, vendors, budget, build-versus-buy decisions, AI adoption, evaluation practices, and regulatory readiness. This hands-on leadership role requires production experience with agentic AI, RAG, cloud AI services, model economics, and enterprise AI governance.

Serves as a senior technical risk authority for enterprise architecture, AI, cloud, cybersecurity and engineering. Leads risk analysis, threat modeling, control evaluations and architecture reviews; assesses AI and cloud security risks; translates technical exposures into executive decisions; identifies systemic risks; develops reusable risk scenarios and control expectations; drives remediation; and advises senior leaders across technology, cybersecurity, engineering, data and risk.

Advise leaders on performance, talent development, compensation, rewards, and sensitive employee decisions. Own performance reviews, calibration, promotion, benefits administration, immigration coordination, onboarding, offboarding, payroll data, and employee records. Build and monitor agentic AI workflows that automate people processes while protecting sensitive information. Partner with Finance, IT, providers, counsel, and managers to improve accuracy, efficiency, and adoption.

Leads the scientific direction and technical roadmap for a permanent magnet research vertical. Responsibilities include guiding computational materials discovery and AI modeling, developing manufacturable magnet formulations, building and mentoring multidisciplinary teams, managing intellectual property, coordinating national laboratory and industry partnerships, and connecting simulation with experimental validation. The role also supports commercial licensing, external scientific communications, publications, and federally funded research programs.

Lead enterprise customer implementations of Anvl’s EHS software from discovery through launch. Responsibilities include documenting requirements and KPIs, configuring workflows, designing API integrations, managing complex rollout milestones, training users, implementing AI-enabled capabilities, monitoring project status, and transitioning customers to Account Management. The role also involves using AI tools for documentation and analysis, resolving blockers, and sharing feedback with Product, Sales, and Marketing.

Provides strategic cybersecurity architecture leadership across applications, data, networks, cloud, SaaS, and emerging AI technologies. Develops security requirements, designs secure technical architectures, assesses risk, improves security frameworks, supports SDLC activities, and supervises cybersecurity testing. Partners with business and executive stakeholders to enable strategic initiatives while strengthening security controls and resolving complex technical challenges.

Provides technical thought leadership and subject matter expertise to business leaders, influencing strategic initiatives, projects, process improvements, and cross-team solutions. The role drives innovation, operational excellence, change adoption, and business agility while balancing risk and investment. It requires extensive related experience, leadership through mentorship and influence, strong business acumen, relationship management, and responsible use of AI tools.

Conduct research, experimentation, evaluation, and prototyping of AI, machine learning, big data, and serverless technologies for financial applications. Collaborate with statisticians, data engineers, developers, IT teams, and business partners to assess emerging technologies, develop solutions, and support their integration into applications. Present findings, evaluate AI outputs for accuracy and bias, and contribute to innovation initiatives in a financial technology lab.

Owns a portfolio of NovaOS capabilities from concept through delivery, adoption, and continuous improvement. Manages backlogs, roadmaps, prioritization, requirements, user stories, release planning, and product metrics. Partners with stakeholders, Engineering, AI, UX, Data Science, and Architecture teams to deliver enterprise AI-enabled products aligned with governance, Responsible AI, and business objectives.

Leads AI-driven cybersecurity capabilities within the CSIRT, designing and operationalizing agentic AI, LLM, RAG, and automation solutions across SOC platforms. Develops secure AI workflows for incident triage, threat hunting, investigation, and response while implementing governance, guardrails, auditability, and human oversight. Partners with security teams, evaluates emerging technologies, mentors analysts, reports on AI maturity and risk, and communicates strategy to senior leadership.

Leads product strategy, roadmap, pricing, security product direction, AI governance, integrations, regulatory capabilities, customer discovery, launches, and product team development. Partners with Engineering, Research, Sales, Marketing, Finance, and executives to improve retention, expansion, win rate, margin, and enterprise adoption. Owns detection quality, deployment models, secure-by-design requirements, compliance certifications, competitive positioning, and board-level product communications.

Leads REI’s AI strategy and architecture for the FDA account, defining roadmaps, enterprise patterns, governance, and secure production implementations. Designs LLM, RAG, agentic AI, cloud, data, and API solutions; guides pilots through deployment; and ensures Federal security, privacy, FedRAMP, and ATO compliance. Builds executive and client relationships, supports business development and capture efforts, mentors AI architects, and maintains a regular onsite FDA presence.

Own the end-to-end product strategy and lifecycle for public APIs and frontier multimodal foundation models. Lead roadmap prioritization, model release planning, evaluation, developer experience, monetization, and enterprise adoption. Serve as the bridge between research, engineering, and go-to-market teams while balancing model quality, latency, cost, and safety. Build product workflows, translate research into scalable developer features, and drive 0-to-1 execution as the founding product manager.