Top Entry Level Jobs in Portland, ME

As a Campus Growth Ambassador, you'll build awareness for Posh on campus and engage with students to foster community connections. Ideal candidates should be proactive and immersed in campus culture.

The Quantitative Developer will assist with client onboarding, support, implement and maintain new functionality for portfolio compliance, and improve team documentation.

As a Business Development Representative at GitLab, you'll prospect targeted accounts, generate meetings, collaborate with teams, and engage buyers for the AI-powered DevSecOps platform.

Perform hands-on application and system security assessments: discover and validate vulnerabilities, develop proof-of-concepts and custom tooling, conduct threat modeling and architecture reviews, and communicate clear remediation guidance to clients while contributing to security research.

Join Rubrik's sales talent community to connect and be considered for future opportunities aimed at securing data against cyber threats.

Serve as the partner-facing intermediary to the SOC, providing phone/email/chat support for incidents and SIEM questions, leading high-severity calls, troubleshooting product issues, collaborating with internal teams, creating knowledge base content and runbooks, and using AI tools to summarize tickets and improve communications and documentation.

Provide phone and email concierge support for Yext enterprise products, deliver 1:1 training, troubleshoot client issues, manage inbound queues to meet SLAs, collaborate cross-functionally to improve user experience and meet QA/CSAT targets.

This is a talent-pool submission inviting candidates to share their background and role preferences. Profiles enter Garner's candidate pool for recruiter review; recruiters will contact matches when relevant roles open. Includes fraud/security notice about official email domains and an equal employment opportunity statement with accommodation contact information.

Build, train, and productionize machine learning models for fraud detection and identity verification. Perform data acquisition, feature engineering, experimentation, monitoring, and analyses to inform product, sales, and risk decisions. Collaborate with engineering, data acquisitions, and risk operations to maintain data quality and ship production-ready code. Research new fraud types and contribute to new product development across the ML lifecycle.

Promote information security best practices, identify and report security risks, and evaluate how data is stored, processed, and transmitted. Ensure compliance with data privacy standards (GDPR, CCPA) and integrate data protection throughout the information lifecycle.