Top Entry Level Artificial Intelligence Jobs

Develop and close enterprise public-sector business across state, local, and education accounts. Build executive relationships, lead account strategies, manage complex proofs of concept and trials, support RFP wins, exceed revenue quotas, and collaborate with sales engineering, product, software engineering, and partners to address customer needs and demonstrate integrated solutions.

Lead go-to-market strategy and product marketing for Arm’s Cloud AI portfolio, including AGI CPUs, Neoverse CSS, CPU IP, platforms, and ecosystem solutions. Develop positioning, messaging, customer value propositions, marketing plans, product launches, partner campaigns, content, sales enablement, and executive communications. Collaborate with product, engineering, sales, corporate marketing, and ecosystem partners to translate complex AI and cloud infrastructure technologies into differentiated market narratives and accelerate adoption.

Manage end-to-end software renewals for LATAM customers, including tracking renewal intentions, preparing contractual quotes, coordinating with Sales and Finance, engaging stakeholders in value discussions, supporting contract changes, and meeting reporting and renewal deadlines. The role requires strong organization, communication, accuracy, multitasking, spreadsheet skills, and Spanish or Portuguese proficiency is advantageous.

Prospect, qualify, and generate leads through outbound outreach (cold calling/email). Schedule discovery meetings, collaborate cross-functionally, and learn sales methodologies to drive new business for Datadog.

Designs and maintains learning solutions for sales readiness and customer education using instructional design frameworks such as ADDIE. Builds eLearning courses, job aids, videos, assessments, onboarding programs, and product training with Articulate Rise. Conducts needs assessments, collaborates with sales leaders and subject matter experts, evaluates learning effectiveness, updates content, and manages multiple projects independently in a SaaS environment.

Provides part-time administrative and executive support for the Chicago Office and executive team. Responsibilities include coordinating meetings, travel, events, catering, mail, visitors, records, office inventory, expenditures, budgets, repairs, work orders, and executive expense reconciliation. The role also supports a safe workplace and responds to internal information requests and ad hoc needs.

Build and deploy production-grade AI and MLOps solutions within public sector customer environments. Develop Python-based workflows, integrations, interactive applications, and model deployment and monitoring systems. Troubleshoot cloud, Kubernetes, networking, compute, and platform issues while advising data science teams. Own customer engagements, lead technical discovery and solutioning, create reusable deployment materials, and communicate feedback to SRE, Support, and Product teams.

Provides clerical and office support through filing, scheduling, data entry, telephone communication, report review, medical-record scanning, audits, discharge chart reviews, physician order processing, and follow-up with internal and external contacts.

Own product design for Vercel Marketplace and Connect, shaping builder and partner experiences for discovering, provisioning, configuring, billing, and managing integrations. Collaborate with Product and Engineering, conduct customer and partner research, define success measures, prototype with coding agents, and validate improvements through experiments. Translate complex technical concepts such as OAuth, permissions, credentials, and provider constraints into clear, accessible experiences while establishing reusable design patterns and maintaining quality through launch and iteration.

Build and ship production software across agent pipelines, data ingestion, operator tooling, user interfaces, services, schemas, tests, deployments, and tax computation. Write evaluations to verify correctness, collaborate closely with senior engineers, and take ownership in an ambiguous environment. Engineers may work with AI agents, structured extraction, cloud infrastructure, and tax-related systems.