Top Remote Entry Level Jobs in Portland, ME

Own product features and initiatives from discovery through evaluation. Gather customer feedback, analyze usage data, define requirements, manage the backlog, and collaborate with Design, Engineering, and QA to deliver quality B2B eCommerce features. Use AI tools to improve research, ideation, documentation, and execution while contributing to product vision and roadmap decisions.

Designs, develops, and supports supply chain reporting, analytics, and AI-assisted workflow solutions. Responsibilities include building Power BI dashboards, Snowflake data and semantic models, DAX measures, Power Query transformations, KPI visualizations, workflow solutions, data validation, technical documentation, deployment support, and stakeholder engagement across procurement, inventory, warehousing, logistics, and supplier processes.

Serves as the President’s strategic right hand, managing daily priorities, inbox and Slack communications, calendar, meeting follow-ups, executive onboarding, travel logistics, board preparation, and cross-functional coordination. The role requires strong judgment, discretion, organization, project management, data analysis, presentation skills, and the ability to create structure in a fast-growing, ambiguous environment while providing candid executive support.

Designs scalable business and client-specific solutions by analyzing financial data, evaluating technology ecosystems, and aligning solutions with organizational strategy. Partners with sales, technical, practice, and delivery teams to develop solution strategies, negotiate with stakeholders, support implementation, and ensure alignment with budgets, timelines, regulations, and customer expectations. The role also drives innovation, continuous improvement, and data-informed decision-making across a global, matrixed organization.

Leads Maze’s global People function as a strategic partner to the CEO and executive team. Oversees talent strategy, organizational design, compensation and benefits, performance management, employee relations, culture, and scalable People operations across a distributed workforce. Develops the People team, advises leaders, supports organizational change, and strengthens engagement and retention. The role also drives an AI-enabled, data-informed approach to People programs and operations.

Serves as a customer-facing technical advisor for strategic enterprise SaaS accounts. The role guides configuration, integrations, data flows, workflows, adoption, upgrades, and technical strategy; identifies risks and expansion opportunities; supports customer health reviews and complex issues; and partners with Customer Success, Support, Product, Engineering, Sales, and Professional Services to maximize platform value.

Own Suite’s product direction end to end, with a strong focus on AI-powered features for media and entertainment workflows. Engage daily with post-production teams, studios, and creative agencies; translate customer feedback into prioritized product problems; prototype concepts with AI tools; collaborate closely with engineering; define product metrics; and partner with sales, marketing, and support to launch and improve products.

Drives technical sales activities for Varonis cybersecurity solutions, supporting new business and upsell opportunities. Configures and implements the platform, presents technical information to customers, manages multiple evaluation projects, resolves concerns, and improves deployment experiences. The role requires Windows-domain troubleshooting, Active Directory, Microsoft 365, NAS, data access governance, strong communication, problem-solving, organization, and customer relationship skills.

Provides advanced technical support to customers, diagnoses and resolves complex product issues, manages cases through resolution, and documents troubleshooting processes. Collaborates with engineering and product teams on defects and improvements, while mentoring junior support engineers. Requires strong communication, analytical, and problem-solving skills. Preferred experience includes SQL, Python, Pandas, notebooks, Git/GitHub, AI prompting, advertising or MarTech, and data clean room environments.

Build and scale pipelines that transform conversation data into structured customer memory. Develop LLM extraction and retrieval systems using embeddings, vector search, and ranking; create evaluation benchmarks and regression gates; diagnose production issues through logs, metrics, and traces; and partner with Product and ML teams to improve customer-focused AI systems.