Top Entry Level Artificial Intelligence Jobs

Own Synthetic’s visual identity across brand, marketing, and product. Define and maintain the brand, design and build websites and launch materials, and implement product features in TypeScript and SvelteKit alongside engineers. The role requires shipping designs directly, working across multiple design disciplines, and moving quickly in an early-stage, in-person startup environment.

Own Sim’s marketing from positioning and technical storytelling through launches, distribution experiments, and performance measurement. Translate the AI platform’s technical capabilities into compelling messaging, content, demonstrations, and product narratives. Work directly with founders to reach builders and enterprise teams, drive activation and qualified pipeline, and use market feedback to shape go-to-market strategy and product direction.

Own internal IT operations, including business applications, user access, employee devices, onboarding and offboarding, IT support, office networking, and meeting-room technology. Improve security, reliability, documentation, self-service, and automation while partnering with engineering on infrastructure initiatives. Serve as the primary point of contact for employee technology issues and manage vendors, licenses, equipment lifecycles, and operational processes.

Builds simulation infrastructure and software-in-the-loop sensor simulation products that help customers test and validate autonomous driving, drone delivery, eVTOL, robotics, and other physical AI systems safely at scale.

Own recruiting operations, analytics, processes, technology, vendor management, AI adoption, talent events, employer branding, and university recruiting programs. Partner with People Operations, Marketing, Engineering, and recruiting stakeholders to improve workflows, build scalable talent pipelines, strengthen candidate experience, and enable data-driven hiring decisions.

Manage a high-volume customer help desk for financial advisors, responding to questions, troubleshooting issues over Zoom, tracking resolutions, educating users, and communicating recurring issues and feature requests to product and engineering teams. The role requires strong written and verbal communication, technical problem-solving, meticulous multitasking, and a customer-focused approach in an early-stage AI technology company.

Generates qualified meetings and early-stage opportunities through phone, email, social, and multi-channel outbound prospecting. Researches accounts, engages healthcare decision-makers, conducts discovery, qualifies prospects, handles objections, and transitions opportunities to Regional Sales Directors. Maintains CRM data, supports account-based marketing, shares account intelligence, and partners with Sales and Marketing to improve targeting, messaging, and pipeline growth.

Own the full enterprise sales cycle from prospecting through closing, manage strategic account pipelines, conduct consultative selling, build executive relationships, negotiate complex deals, and achieve revenue targets. Collaborate with Sales Engineering, Customer Success, and Product teams to tailor solutions. Track market and competitor trends while using CRM tools to manage opportunities and drive growth.

Coordinates recruiting activities across recruiters and hiring stakeholders, supporting the full hiring lifecycle at a fast-growing AI company. The role reports to the Recruiting Operations Manager and offers an entry point into recruiting. The company is also considering applicants for People Partners, Technical Sourcers, Recruiters, and Recruiting Coordinators based on their broader People or Talent experience.

Manage simultaneous enterprise customer implementation projects from kickoff through closure. Responsibilities include defining scope, success plans, requirements, schedules, budgets, and communication; tracking progress, risks, resources, and issues; managing contracts and change control; coordinating internal and customer stakeholders; leading escalations and reporting; and conducting post-implementation reviews. The role partners with Product, Engineering, Solutions Delivery, and Customer Success to deliver successful software deployments, with up to 30% travel.