Top Remote Entry Level Artificial Intelligence Jobs

Develops enterprise solution architectures, AI use cases, strategic sales motions, and executive advisory engagements for Fortune 500 customers. Partners with sales engineering and account executives on strategic opportunities, translates customer needs into product feedback, creates scalable enablement assets, mentors field teams, and represents Qualtrics at conferences, analyst briefings, and executive events.

Supports AlertMedia’s customer advocacy and reference program by coordinating customer references, recruiting advocacy participants, tracking activities and metrics, maintaining records, drafting communications, organizing marketing assets, and coordinating customer stories, testimonials, webinars, and related initiatives. The role partners with Sales, Customer Success, and Marketing while managing documentation, inboxes, project trackers, and sensitive customer information.

Leads system integration and validation activities for Caterpillar’s autonomous MineStar products. Coordinates release execution, issue management, cross-functional resolution, continuous improvement, and product demonstrations with customers, dealers, and global development teams. The role is fully onsite at Peoria Proving Grounds and requires up to 10% travel.

Provides administrative transaction support between Manheim, commercial clients, buyers, and physical sites. Responsibilities include verifying gate passes, generating buyer releases in AS400, maintaining Smartsheet tracking, updating vehicle notes, monitoring email and Teams channels, resolving failed PSIs, supporting title workflows, answering inquiries, coordinating escalations, and meeting established KPIs and SOP requirements.

Identify, prospect, and qualify sales opportunities for Dynatrace APM solutions. The representative conducts outbound calls to senior IT leaders, researches target accounts, educates prospects, supports marketing campaigns and events, tracks activity in Salesforce, attends forecast meetings, meets performance metrics, and provides lead-quality feedback. The role requires bilingual Spanish and English communication, strong organizational and interpersonal skills, and the ability to work independently in a fast-paced team environment.

Own the commercial enablement roadmap for account executives, account managers, and customer success managers. Define execution standards, translate product and process changes into practical guidance, facilitate workshops and role plays, create playbooks and coaching tools, support onboarding and certifications, and use field feedback, conversation intelligence, CRM signals, and program data to improve readiness and customer-facing performance.

Supports planning, execution, and delivery of aerospace engineering projects within Engines & Power Systems. Assists with schedules, budgets, resources, risk management, compliance, and technical issue resolution. Coordinates with engineering, manufacturing, and quality teams to meet milestones, maintain aerospace standards, and ensure project quality and customer satisfaction.

Own quality and automation for enterprise SaaS and PaaS deployments. Build agentic workflows for bug triage, reproduction, routing, and resolution; improve automated testing, CI quality gates, environment parity, and release confidence. Collaborate directly with enterprise customers, communicate quality trends, run bug bashes, create evaluation datasets, and ship code fixes. Senior and staff scopes may include setting organization-wide quality strategy, mentoring engineers, and defining automation standards.

Own the vision, strategy, and roadmap for Vercel’s Dashboard, evolving it into a personalized, agent-powered control plane. Define agent interactions, proactive insights, information architecture, and cross-product design patterns. Partner with engineering and product teams to optimize performance and consistency, while running experiments and analyzing onboarding, adoption, and engagement metrics. The role requires experience building developer-facing dashboard or control-plane products, with strong product design, analytics, and AI perspectives.

Own cloud infrastructure, EKS, AWS systems, CI/CD pipelines, preview environments, observability, security, and compliance. Build developer tooling and internal applications, while leading AI adoption across Engineering through agent workflows and custom solutions. Support product analytics and data science pipelines, collaborate closely with internal stakeholders, and maintain platform reliability end to end.