Top Entry Level Artificial Intelligence Jobs

Build and extend Mason, an AI-native property management assistant, across the full stack with a backend bias. Responsibilities include orchestrating multi-step LLM workflows, improving agent reliability, integrating with customer systems, extracting context from conversations and invoices, managing pipelines, and coordinating complex workflows among owners, tenants, vendors, and field agents. The role requires autonomy, attention to detail, customer engagement, and frequent in-person collaboration in San Francisco.

Own and grow a named portfolio of North American enterprise accounts, managing complex B2B sales cycles from discovery through negotiation, contracting, and close. Build account plans, multithread stakeholder relationships, qualify opportunities, forecast pipeline, and expand customer adoption. Collaborate with Solutions Engineering, Customer Success, Legal, and Product to demonstrate YOLO’s value, navigate enterprise requirements, and develop repeatable land-and-expand strategies.

Own growth marketing for an AI systems integrator by translating engineering work into compelling stories, videos, demos, and written content. Manage and measure channels including LinkedIn, YouTube, and X; run experiments against pipeline outcomes; and build lightweight tools, dashboards, scrapers, and microsites. The role requires strong writing, genuine AI interest, working-level Python or TypeScript skills, and comfort using AI coding tools. Candidates may be early-career and must be in New York or San Francisco or willing to relocate.

Administers and maintains laboratory information systems, databases, networks, servers, and virtualization environments. Supports LIMS implementation, integrations, data security, access controls, audit trails, compliance, troubleshooting, user training, vendor management, procurement, and customer data access. Works onsite with laboratory leaders, IT teams, and customers to ensure reliable and secure laboratory operations.

Own Epoch AI’s website product, including page and feature goals, prioritization, information architecture, standards, QA, and launch decisions. Partner with researchers, designers, developers, and communications staff to ship clear, usable web experiences. Use analytics, interviews, and feedback to guide the roadmap, communicate decisions, review designs, resolve implementation questions, and maintain site coherence across research publications and data products.

Drive pipeline and manage the full sales cycle for V7 Go, an AI platform serving insurance organizations. Build tailored business cases, develop multiple champions across technical and commercial stakeholders, and close $30,000–$250,000 ARR deals. Serve as an insurance-industry AI expert and strategic advisor while partnering with marketing, sales development, account management, and solution engineering teams.

Build Kastle’s growth engine by mapping target accounts, developing outbound campaigns, creating automated growth tools, owning product messaging, managing events, and testing creative ways to reach senior buyers. The role combines writing, campaign execution, data analysis, AI-enabled automation, lead tracking, sales enablement, and continuous experimentation to generate qualified sales opportunities across financial-services markets.

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.