Top Entry Level Jobs in Portland, ME

Provide general administrative support including greeting visitors, answering calls, managing mail, records, supplies, scheduling meetings and travel, assisting HR tasks, liaising with vendors, tracking budgets, and other office duties to ensure smooth operations.

Manage procurement activities, develop sourcing strategies, negotiate supplier contracts, monitor supplier performance, forecast demand, manage inventory, identify cost-saving opportunities, and maintain accurate procurement records. The role requires strong negotiation, communication, analytical, organizational, and software skills, along with a bachelor’s degree in business, supply chain management, or a related field.

Creates presentations, flyers, posters, social media graphics, photo edits, reels, and short promotional videos for a CEO. Publishes daily marketing content, supports webinars, prepares creative assets, attends meetings, and submits end-of-day reports. The part-time role requires Canva proficiency, Microsoft Office skills, strong communication, organization, independence, discretion, and reliable internet and workspace.

Coordinates sales orders from receipt through invoicing across wholesale, retail, Amazon, and direct-to-consumer channels. Validates order details, processes orders across EDI, OMS, ERP, and WMS systems, manages inventory allocation and fulfillment priorities, resolves exceptions, monitors order performance, and supports compliance requirements. Serves as the primary contact for retail partners and warehouses while maintaining documentation, supporting reconciliations, updating SOPs, and assisting with operational projects.

Design, develop, and implement AI/ML models; analyze large datasets; integrate AI solutions into existing systems; apply MavLink for autonomous systems; collaborate across teams and improve ML development processes.

Owns the strategy, requirements, evaluation, and quality of AI-powered products. Partners closely with ML, backend, and client engineering teams to define system behavior, assess model performance, manage trade-offs across quality, latency, cost, reliability, safety, and UX, and establish feedback loops. The role requires strong technical judgment, hands-on experience with AI or LLM products, and the ability to turn ambiguous problems into measurable requirements and executable plans.

Own relationships with US high-volume traders and HNWIs across MetaMask’s VIP programs. Recruit, onboard, retain, and negotiate terms with VIP clients; build networks through referrals, communities, and events; provide client support; gather product and competitor insights; adapt communications; and track pipeline, trading volume, fees, and retention. The role requires regular travel to US hubs and industry events, along with knowledge of crypto markets, DeFi, on-chain trading, and US regulatory considerations.

Build and ship production features across backend services, APIs, frontend systems, AI-native healthcare infrastructure, EMR, and billing platforms. Collaborate with engineers, product managers, and designers; write clean, tested code; participate in code reviews; and own projects from concept through production.

Own the full technology stack for an AI food assistant, taking an iPhone app from internal testing through beta and scale. Responsibilities include backend and mobile development, architecture, infrastructure, deployments, monitoring, AI feature reliability, catalog and personalization systems, creator and internal tooling, App Store releases, security, and engineering standards. The role also involves product decisions, household research, technical leadership, and end-to-end ownership in a founding-team environment.

Design and scale a feature flagging and A/B testing platform, including high-throughput event ingestion, warehouse-native analytics, real-time feature flag delivery, multi-database SQL support, and distributed systems infrastructure. The role involves full-stack development, architecture, performance optimization, reliability engineering, and technical product influence within a remote startup team.

Design and deploy production-ready LLM pipelines and agentic workflows, automate large-scale multimodal dataset pipelines, monitor and improve agent performance, and integrate AI agents with 3D scene composition. The role also involves process documentation, incident response, and continuous improvement, with collaboration across the engine team and company founders.

Design, secure, and scale GCP cloud infrastructure supporting event-driven services, AI models, and automated releases. Maintain infrastructure as code and CI/CD automation, manage access controls and encryption, remediate penetration-test and vulnerability findings, and own monitoring, dashboards, on-call response, incident management, and performance improvements.