Top Artificial Intelligence Jobs

Coordinates enterprise cyber incident response across technical and business stakeholders. Facilitates incident bridges, tracks decisions and remediation, maintains incident records, prepares executive communications, leads post-incident reviews and tabletop exercises, and improves incident management processes. Requires participation in a 24x7 escalation rotation, including occasional off-hours and weekend support.

Own end-to-end delivery of Salesforce engineering and transformation initiatives, managing scope, schedules, budgets, risks, dependencies, resources, governance, Agile ceremonies, releases, UAT, cutover, and stabilization. Coordinate cross-functional and distributed teams while communicating delivery health, risks, decisions, and recovery plans to executives and stakeholders. Drive quality, compliance, change management, continuous improvement, and predictable outcomes across complex Salesforce projects.

Evaluate and validate machine learning outputs against financial theory, client objectives, and market dynamics. Translate research signals into investment strategies, portfolio construction, and testable modeling specifications. Design and scale quantitative models in Python and Java, develop financial validation frameworks, and collaborate with ML researchers and technical teams to integrate research into production. Communicate quantitative insights clearly across technical and business stakeholders.

Manages daily accounting operations, including general ledger maintenance, transaction recording, reconciliations, financial reporting, budgeting support, and month- and year-end close processes. Oversees invoicing, returns, credits, and accounts receivable collections; collaborates with procurement to improve cost efficiency; and supports external accountants and executive management. Requires strong accounting knowledge, analytical ability, organization, communication, and proficiency with QuickBooks, Excel, and Google Sheets.

The Learning Partner supports NYC schools implementing AI literacy and instructional innovation. Responsibilities include building school relationships, designing and facilitating professional learning, coaching educators, supporting AI adoption, co-designing AI tools and learning experiences, guiding school leaders through change management, and sharing field insights to improve Playlab’s platform and resources.

Lead surveillance systems engineering across the lifecycle, including requirements development, SysML modeling, architecture, integration, verification, validation, certification, and safety assessments. Support ADS-B, radar, DAA, TCAS/ACAS, and transponder systems while ensuring compliance with aerospace standards such as ARP4754B and ARP4761A. Coordinate multidisciplinary teams, technical reviews, risk mitigation, and requirements traceability, while providing technical oversight to junior and mid-level engineers.

Participate in the full SaaS sales cycle, from prospecting and initial customer contact through supporting existing users. Gain hands-on exposure to direct and mobile marketing, marketing automation, APIs, advertising, analytics, and customer engagement while developing sales and marketing skills in a startup environment.

Serve as the technical backbone of the pre-sales process by partnering with Account Executives, answering technical prospect questions, running proof-of-concept evaluations, troubleshooting issues, and relaying requirements to Engineering and Product teams. Manage evaluation timelines, support prospect success, improve customer-facing tools and processes, and communicate effectively with technical and security buyers in a fast-paced cybersecurity startup.

Own full-cycle recruiting for wholesale producer and underwriting roles in the E&S insurance market. Responsibilities include sourcing, screening, interviewing, closing, onboarding, candidate pipeline development, leadership partnership on hiring plans and compensation, employer-brand relationship building, and creating scalable recruiting processes and interview frameworks.

Drive end-to-end B2B sales of Data and AI consulting services in the US market. Responsibilities include prospecting, pipeline generation, solution selling, account planning, business-case development, executive stakeholder engagement, partner collaboration, and closing enterprise and mid-market opportunities involving Databricks, Lakehouse modernization, data engineering, analytics, AI/ML, and GenAI.