Top Tech Jobs & Startup Jobs in Portland, ME

Knoetic is looking for ambitious individuals excited to improve people's work lives. The role involves rigorous organization, exceptional writing and communication skills, and the ability to work with C-level executives in a fast-paced environment. Candidates should be adaptable, have a strong work ethic, and commit to continuous improvement.

As a Senior DevOps Engineer at CancerIQ, you'll enhance cloud-based services and improve CI/CD pipelines. Key responsibilities include collaborating with teams to optimize infrastructure management and ensuring compliance with security standards. You'll also create tool sets to deploy and monitor infrastructure and manage secure cloud services.

The Head of People Operations will lead the talent acquisition and employee experience strategy at Kit, collaborating with business leaders to optimize organizational effectiveness. Responsibilities include enhancing employee engagement, managing internal services and benefits, ensuring compliance with labor laws, and developing competitive compensation packages.

The Account Executive II will be responsible for converting leads into opportunities, discovering new sales prospects, presenting tech solutions, maintaining client relationships, negotiating agreements, and keeping sales activity records.

The Jr. Customer Support Engineer will create and manage document templates for an automation platform, update client configurations, and collaborate with team members to support client needs. This entry-level role offers training and development opportunities in programming and technical skills.

The Principal Consultant provides expertise in NetSuite implementation projects, acting as a Solution Architect. They lead project teams, analyze business requirements, develop technical designs, and provide industry-specific best practices. The role requires 5+ years of relevant consulting experience, a degree in Business or relevant field, and strong financial and consulting background. NetSuite certifications and hands-on implementation experience are essential.

As a Data Scientist at LeaseLock, you'll develop machine learning models to predict property risk, deliver data-driven strategies, and ensure data consistency for enhanced analytics. You will work independently on impactful projects that align with business needs.