Top Remote Entry Level Jobs in Portland, ME

Conduct virtual sales consultations with K12 education customers, present digital product solutions, achieve sales targets, develop territory plans, generate new business, and maintain accurate forecasts and activity reports. The role requires strong communication, relationship-building, territory management, business technology proficiency, and the ability to discuss digital curriculum and classroom technology with customers.

Conduct cold calls and email outreach to enterprise talent and recruiting leaders, develop tailored messaging, build and qualify pipeline, collaborate with the GTM team using AI-powered prospecting tools, and share market feedback. This entry-level role offers exposure to enterprise sales, HR technology, and a potential path into a closing position.

Temporary consultant responsible for testing and validating Zuora CPQ quoting, pricing, approval, and deal configuration workflows. The role troubleshoots issues, supports user acceptance testing, documents findings, recommends process improvements, and partners with Sales and Deal Desk stakeholders to align commercial workflows with business requirements.

Build and maintain full-stack applications, backend services, automations, data workflows, and internal tools. Partner with stakeholders to identify business problems, design and validate solutions, deploy production systems, measure outcomes, and iterate. Use AI-assisted development, AWS, Cloudflare, modern frameworks, relational databases, CI/CD, and observability practices while troubleshooting and improving system reliability, performance, and operational excellence.

Designs and executes network equipment test plans, validates Ciena product interoperability, supports optical and Ethernet network implementation, and provides onsite engineering expertise. Responsibilities include equipment commissioning, inventory verification, troubleshooting, performance analysis, customer support, standards development, documentation, and Tier III/IV deployment assistance. The role requires expertise in Ciena platforms, SONET, DWDM, ROADM, Ethernet, IP/MPLS, network management systems, and legacy TDM technologies.

Provide Level 1 technical support for Canvas LMS users, administrators, faculty, staff, and students through tickets, phone, and live chat. Troubleshoot user issues, answer how-to questions, replicate and document simple bugs, maintain thorough ticket records, provide timely updates, and escalate unresolved issues to Tier 2 Support. The role also includes creating support documentation and assisting users in English and Spanish.

Own the Bay Area enterprise sales territory, targeting security leaders across major industries. Drive complex cybersecurity deals from prospecting through negotiation and close, convert pilots into multi-year agreements, expand customer accounts, and build executive relationships. Refine positioning, pricing, and sales processes while feeding market insights back to product and leadership.

Source and attract candidates through internet searches, social media, networking, calls, and recruiting databases. Conduct phone interviews, assess candidate qualifications and cultural fit, build candidate pools, and support client and recruiter delivery. Maintain candidate and client relationships, update applicant tracking systems, prepare reports, and contribute to special projects in a fast-paced, metrics-driven environment.

Serve as Mastra’s founding account executive, managing a warm pipeline and executing a full-cycle, mid-market sales motion. Sell AI agent platform products to engineering leaders, run discovery, scope solutions, navigate procurement, and close deals. The role requires understanding developer frameworks, adapting sales processes, handling ambiguity, and selling to startups with varied budgets. The hire will help refine the sales motion and support future team growth.

Develop and evaluate foundational deep learning methods, including transformers, embeddings, and neural networks, for credit modeling and loss prediction. Integrate models into ML pipelines, apply representation learning to financial data, and build specialized AI agents for data science and business workflows. Collaborate with technical and product teams, communicate findings, mentor colleagues, and measure model impact on customer and business outcomes.