Top Artificial Intelligence Jobs

Own the full B2B sales cycle from qualified lead through contract signing. Responsibilities include strategic discovery, tailored product demonstrations, proposals, pricing, negotiations, pipeline and forecast management, stakeholder relationship building, and closed-won handoffs. The role partners with SDR and Marketing teams to improve funnel performance and helps establish Zeely’s B2B sales playbook. Candidates need 5+ years of B2B sales experience, MarTech, AdTech, or SaaS expertise, international selling experience, and strong performance marketing knowledge.

Supervise Helpdesk operations, lead technical support staff, manage SLAs and escalations, and provide hands-on troubleshooting. Drive AI-powered automation, knowledge management, ticket analytics, and incident deflection. Oversee office technology, onboarding, assets, procurement, vendors, compliance, and executive support while partnering with infrastructure, networking, facilities, and business stakeholders to improve service quality and user satisfaction.

Analyzes business processes, systems, data flows, and technology opportunities involving AI, automation, analytics, and workflow modernization. Translates stakeholder needs into requirements, user stories, process maps, use cases, and acceptance criteria. Partners with technical and business teams through design, testing, deployment, training, and continuous improvement while supporting UAT, documentation, risk management, adoption, and measurable business outcomes.

Own the full sales cycle for Petual’s AI-powered control testing platform, selling to internal audit, risk, compliance, finance, IT, and security leaders. Responsibilities include prospecting, discovery, proof-of-concept management, negotiation, closing, pipeline development, forecasting, navigating complex stakeholder groups, gathering market feedback, and helping build the company’s go-to-market playbook.

Develop and maintain enterprise data-intensive and AI-enabled applications supporting product development and quality teams. Build optimized SQL transformations, Databricks pipelines, Java/Python backend services, APIs, and cloud-native applications using Kubernetes and Docker. Partner with AI teams to productionize ML and LLM solutions, implement testing, CI/CD, observability, security, and reliability practices, troubleshoot production issues, shape architecture, and mentor engineers.

Build and ship driver-facing AI experiences for GM vehicles using Kotlin and Android Automotive. Own features end to end across conversational behavior, on-device fulfillment, vehicle integration, UI, connected services, validation, and iteration. Prototype and productionize intelligent capabilities, diagnose issues across application and cloud boundaries, establish engineering patterns, collaborate cross-functionally, mentor engineers, and influence the roadmap for in-vehicle AI products.

Own go-to-market strategy, positioning, messaging, content, sales enablement, and market narrative for Varonis Atlas, an AI security platform. Translate complex AI security concepts into compelling buyer and executive stories, lead launches, support analyst and PR efforts, monitor market and regulatory trends, and equip sales teams to compete in a rapidly evolving category.

Own Varonis’s global growth marketing engine, including demand generation, content, social, SEO/AEO, paid campaigns, marketing operations, attribution, and pipeline generation. Set revenue and CAC/ROAS targets, create distribution strategies and creative experiments, write conversion-focused copy, partner with creators and publications, and build a high-performing team. The role requires hands-on internet fluency, strong AI usage, and experience scaling B2B SaaS marketing programs.

Leads revenue cycle automation, AI, analytics, process improvement, and surveillance across a complex healthcare system. Develops automation strategies and roadmaps, evaluates Epic and vendor technologies, deploys solutions, standardizes workflows, monitors performance, and drives denial prevention. Partners with Revenue Cycle, IT, analytics, finance, compliance, and clinical teams while managing managers and consultative staff to improve financial performance, efficiency, patient experience, and value-based care outcomes.

Tenure-track Assistant Professor responsible for teaching in an engineering or science discipline, conducting multidisciplinary research in model-based systems engineering or applied AI and machine learning, securing external research funding, supervising graduate students, and contributing university and professional service.

Tenure-track Computer Science faculty member specializing in cybersecurity and cyber operations. Responsibilities include conducting high-impact research, publishing scholarly work, securing external funding, developing and teaching cybersecurity courses, mentoring students, collaborating across disciplines, and contributing through university service and leadership. Candidates should address areas such as cyber threat intelligence, digital forensics, cyber resilience, cryptography, AI-enabled security, IoT and cyber-physical systems security, or quantum-resistant cryptography.

Write addictive 1–3 minute AI-generated micro-drama episodes and complete series arcs for women aged 35–55. Create strong hooks, emotional stakes, cinematic scenes, and cliffhangers using Claude, GPT, and other AI tools. Test formats, analyze performance data, identify plot holes and continuity issues, and provide feedback on final episodes. The role is fully remote and requires native-level English, visual storytelling ability, and strong attention to detail.

Own the full sales cycle for net-new B2B technology accounts, including outbound prospecting, pipeline creation, executive engagement, solution selling, forecasting, and closing complex technology deals. Sell cloud, infrastructure, security, networking, data, AI, and modern workplace solutions to enterprise and mid-market customers. Collaborate with technical specialists, partners, marketing, and leadership while meeting aggressive new-logo and revenue targets. Regular customer travel is required.

Provides full-lifecycle systems engineering services, translating customer needs into functional and technical requirements and serving as a liaison between customers and development teams. The role requires communicating complex technical concepts, managing expectations, and collaborating within Agile environments. Desired work includes coordinating AI-driven solution design and deployment, evaluating AI approaches, and partnering with engineers and domain experts to integrate emerging technologies into existing architectures.

Build and deploy AI-powered automations, tools, agents, dashboards, data pipelines, and agentic workflows for a private equity firm and its portfolio companies. Evaluate emerging AI models and frameworks, rapidly prototype solutions, integrate Claude and Microsoft 365 tools, and iterate based on user feedback. The role requires shipping working code, collaborating directly with investment professionals, and working onsite in Manhattan Beach five days per week.

Design, train, and interpret foundation models for multimodal real-world sensor data. Develop representation learning, multimodal alignment, self-supervised learning, and model adaptation methods. Diagnose limitations, conduct experiments, collaborate with engineering and product teams to productionize research, and publish findings at leading machine learning and sensing conferences.

Build and deploy AI-powered automations, tools, agents, dashboards, data pipelines, and agentic workflows for a private equity firm and its portfolio companies. Evaluate emerging AI models and frameworks, rapidly prototype solutions, and iterate based on user feedback. The role requires strong practical AI tool usage, coding ability in Python or JavaScript, Microsoft 365 proficiency, and five-day in-office work in Manhattan Beach.

Build and support internal dashboards, web applications, APIs, integrations, and data workflows. Develop front-end and back-end features, design relational databases, troubleshoot failures, write tests, deploy safely, monitor production systems, and document recovery procedures. Use AI coding assistants responsibly, review generated code, protect sensitive information, and support operational users. The role requires full ownership from incomplete requirements through implementation, release, maintenance, and verified handoff while working onsite in Winter Park five days per week.

Partners with Finance, technology, and business stakeholders on budgeting, forecasting, monthly reporting, strategic investment planning, cost optimization, and financial analysis. Builds executive presentations, maintains financial models and dashboards, and improves reporting and data governance. Uses Apptio or Tableau to communicate IT cost drivers, KPIs, and service consumption metrics while maintaining service catalogs, data dictionaries, and cost transparency models.

The Staff Research Scientist will conduct AI research, focusing on embedding models and LLMs while collaborating with other scientists and engineers on practical deployments and innovations in information retrieval.

Executes technical SEO and AI visibility initiatives across global digital properties. Implements structured data and schema markup, audits crawlability and indexability, monitors brand visibility in search engines and AI answer engines, validates web changes, and advises content, marketing, creative, and web teams on improving content discoverability, accuracy, and citation. The role also maintains global standards across markets and languages while tracking emerging search behaviors and translating performance data into actionable recommendations.

Leads the design and lifecycle management of Oncology R&D data products, including data modeling, architecture, ETL/ELT pipelines, data integration, quality controls, governance, and AI-ready datasets. Partners with scientific, clinical, data science, and IT stakeholders to translate requirements into scalable solutions across clinical, preclinical, real-world, genomic, and omics data. Supports advanced analytics, ML, and GenAI use cases while ensuring interoperability, reliability, compliance, and operational performance.

Designs, deploys, operates, and scales GPU/CPU infrastructure supporting Top Secret national security missions. Responsibilities include managing bare-metal and virtualized GPU platforms, building large-scale AI clusters, automating Kubernetes and operating-system deployments, operating databases and distributed storage, and improving service reliability, monitoring, and lifecycle management. The role collaborates closely with AI engineers and requires strong infrastructure, software development, networking, and systems expertise.

Designs, deploys, operates, and scales GPU/CPU infrastructure supporting Top Secret national security missions. Responsibilities include managing bare-metal and virtualized GPU platforms, developing Kubernetes and operating-system automation, deploying databases and distributed storage, improving monitoring and availability, and collaborating with AI engineers to build reliable large-scale products.

Designs, deploys, operates, and scales GPU/CPU infrastructure supporting Top Secret national security missions. Responsibilities include managing Kubernetes and AI clusters, automating on-premise deployments, operating databases, monitoring, distributed storage, and virtualization platforms, and improving service reliability and performance. Collaborates with AI engineers and customers to deliver scalable infrastructure products. The role requires Linux, infrastructure-as-code, containerization, scripting, software development, and the ability to obtain a Top Secret clearance.