Top Entry Level Artificial Intelligence Jobs

Support customer onboarding, workflow discovery, implementations, testing, and ongoing service needs. Configure and launch workflows in the Upwell platform, investigate operational issues, document processes, coordinate with internal teams, and translate customer needs into product requirements. The role is customer-facing and involves managing multiple projects, improving processes, and using AI-enabled automation. No prior freight, logistics, AI, or software engineering experience is required.

Serve as the CEO’s strategic thought partner and cross-functional operator. Lead ambiguous special projects, coordinate initiatives across engineering, go-to-market, finance, and people teams, maintain leadership operating cadence, improve internal processes, and prepare board and investor materials. The role also tracks priorities, ensures follow-through, supports executive decision-making, and helps scale the company’s operating systems.

Lead and mentor a software engineering team while overseeing software product delivery, project planning, hiring, and cross-functional collaboration. Drive cloud infrastructure best practices, infrastructure as code, automation, CI/CD, security compliance, and optimization of cloud performance, capacity, and costs. Align engineering objectives with business goals and foster innovation, continuous learning, and an inclusive, high-performing team culture.

Own the full B2B sales cycle for Lavalier, including outbound pipeline generation, account targeting, stakeholder engagement, product demonstrations, deal project management, procurement and security coordination, and closing foundational customers. Partner with marketing and leadership to shape messaging, pricing, go-to-market strategy, and sales processes. Provide structured product feedback and help establish the company’s early sales motion.

Lead propulsion analysis for rocket engines and vehicles using FEA, CFD, thermal, static, dynamic, and fatigue simulations. Develop and enforce modeling standards, collaborate with design, hardware, and test teams, validate models against physical results, drive design improvements, and produce clear technical documentation. The role is onsite in Seattle and requires strong multiphysics simulation, numerical analysis, and thermal/fluid network expertise.

Own customer infrastructure support tickets from initial response through resolution while meeting SLAs. Diagnose Linux-based GPU cluster issues, troubleshoot access, storage, networking, containers, drivers, billing, and account problems, and coordinate escalations. Execute and improve runbooks, document solutions, maintain customer and internal documentation, communicate clearly under pressure, and participate in on-call coverage across time zones.

Lead development of packaged silicon photonics and optical interconnect products from requirements through validation and production. Define product requirements, analyze optical links, coordinate engineering and external partners, guide packaging and assembly execution, and establish testing strategies. The role requires hands-on laboratory work, customer and supplier engagement, cross-functional leadership, and attention to manufacturability, reliability, thermal performance, and scale-up readiness.

Manage and grow strategic OEM customer accounts, develop sales strategies, exceed revenue targets, provide tailored semiconductor solutions, and serve as the primary account contact. Collaborate with business solutions, product marketing, and engineering teams; monitor markets and competitors; and deliver forecasting, reporting, and analysis to senior leadership. The role focuses on complex technical sales cycles and long-term customer relationships in the Los Angeles area.

Own Patlytics’ data warehouse, transformation layer, ingestion pipelines, usage metering, billing data models, BI, and reporting infrastructure. Build production systems in Python and SQL, establish data quality and monitoring standards, and translate ambiguous business questions into reliable analytical models. The role partners closely with the CTO and stakeholders, provides technical direction, and may grow into team leadership. Front-end experience for internal tools and reporting interfaces is a bonus.

Build scalable backend services, APIs, workflow orchestration, integrations, and AI agent infrastructure for enterprise procurement, invoicing, contracts, and payments. Develop agent runtimes, multi-agent coordination, observability, evaluation, and testing systems. Ensure reliability, security, compliance, auditability, performance, and fault tolerance across distributed systems handling sensitive financial and operational data.