Top Artificial Intelligence Jobs

Lead Glacier’s distributed computer vision engineering team, owning the CV roadmap, technical priorities, execution, hiring, mentoring, and cross-functional collaboration. Guide model, dataset, compute, evaluation, and production-performance decisions without serving as a day-to-day developer. Oversee labeling operations and coordinate with Product, Software, Operations, Manufacturing, and Field Engineering to deliver computer vision systems for recycling robots and customer sites.

The job description is an incomplete sample template and does not provide responsibilities, qualifications, or other role details. The posting should be updated before publication.

Leads Fathom’s federal AI policy agenda, including legislative and regulatory strategy, congressional and executive branch relationships, coalition building, policy development, testimony, regulatory comments, and advocacy. Manages lobbyists, consultants, budgets, and federal team growth while serving as the organization’s primary Washington representative and spokesperson.

Serve as a strategic partner to the CEO by leading government engagement, policy strategy, executive briefings, stakeholder relationships, and cross-functional coordination. Prepare the CEO for meetings with Congress, agencies, and industry leaders; track legislative developments; synthesize risks and opportunities; translate government priorities into internal action plans; and maintain execution momentum in fast-moving, sensitive situations. Requires strong public-sector fluency, executive presence, writing, judgment, and willingness to travel extensively.

Serve as a close strategic advisor to Talmenta’s founder, providing entrepreneurial guidance, strategic thinking, ideation, influential leadership, and candid challenge. The advisor will leverage significant company-building experience while supporting Talmenta’s mission to advance AI-assisted mathematical research and management.

Lead Nabla’s marketing organization and product marketing strategy across healthcare segments, buyer types, and direct and partner channels. Own positioning, messaging, launches, competitive intelligence, sales enablement, demand strategy, content prioritization, marketing operations, pipeline attribution, and team development. Manage a 6–8-person team spanning product marketing, growth content, design, and marketing operations while guiding resourcing and hiring decisions.

Own data ingestion, transformation, exchange, and integration workflows between K–12 Student Information Systems and Timely’s scheduling platform. Ensure pipeline accuracy, security, reliability, and scalability while collaborating with engineering, product, customer success, district IT teams, and SIS vendors. Develop documentation, process improvements, automation scripts, and lightweight Python tools; lead discovery for new SIS integrations and help scale the data integrations function.

Own delivery of multiple client-facing technical projects, coordinating client requirements, feature prioritization, timelines, product strategy, and global R&D resources. The role bridges US clients, business teams, product specialists, and China-based technical teams while balancing expectations against engineering capacity. Responsibilities include clarifying requirements, investigating bugs, communicating priorities to leadership, supporting resource planning, and developing deep expertise in an AI-powered clinical research SaaS platform.

As an Intern, you will monitor geopolitical events affecting supply chains, analyze data for risks, and support the Intelligence Solutions team.

Own customer data integrations for hospital systems and suppliers. Lead technical discovery, design and operate production data pipelines, troubleshoot live integration issues, build reusable connectors, and document support processes. Partner with product and engineering teams to improve the platform while communicating risks and timelines to technical and non-technical stakeholders. The role requires strong Python and SQL skills, production integration experience, customer-facing communication, and comfort working in ambiguous environments.