Top Tech Jobs & Startup 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 Director of Sales will drive revenue growth by pursuing new high-value drone OEM accounts, managing customer relationships, and overseeing complex commercial negotiations.

Lead end-to-end enterprise sales for an AI-native claims platform: own complex deals, shape GTM playbook, influence product roadmap, represent Vega to senior insurers, and build repeatable sales processes and mentorship.

This role involves owning the full sales cycle, launching a new vertical for new SMB customers, shaping the sales strategy, and tracking performance in Salesforce.

Lead product marketing for a multi-product consumer fintech platform: build competitive intelligence, define pricing/tiering, own positioning and GTM, drive adoption and retention using qualitative and quantitative insights, and partner cross-functionally with Product, Research, and leadership to influence strategy and launches.

Lead business development for Special Operations: identify mission needs, build trusted SOF relationships, shape requirements and capture opportunities through proposal and award, manage pipeline and forecasting, influence acquisition strategies, partner across internal teams, and represent NODA at demonstrations and industry events.

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

As an Install Base Account Executive, you will manage and grow relationships with existing clients, focusing on upselling, renewals, and ensuring customer satisfaction. You will leverage communication and account management skills to drive revenue and product adoption, becoming an integral part of the sales strategy.

Leads privacy compliance governance and operations for TD’s US Privacy Office. Responsibilities include reviewing and challenging Privacy Impact Assessments, supporting privacy incident remediation and reporting, coordinating privacy training and completion tracking, managing privacy designate lists and access, developing governance procedures, monitoring compliance programs, preparing executive and regulatory reports, supporting audits and examinations, and advising stakeholders on privacy, data governance, risk, and regulatory requirements.

Executes and leads moderately complex financial crimes audits, including audit planning, control walkthroughs, testing, issue management, documentation, findings, reporting, and stakeholder communication. Provides BSA/AML and OFAC subject matter expertise, evaluates internal controls, follows up on audit findings, and supports regulatory compliance and process improvements. Requires an undergraduate degree and at least five years of relevant experience.

Plans, designs, creates, maintains, and troubleshoots departmental databases and reporting tools. Conducts research, data analysis, testing, and data-flow reviews; coordinates information exchange with vendors and business partners; supports automation, hardware, and application implementations; and recommends improvements to data quality, timelines, security, and reporting. Presents insights to diverse audiences, quantifies business risk, and collaborates with technology and business teams to address information needs.

Leads the strategy, development, production deployment, and enterprise scaling of Agentic and Generative AI products. Identifies high-value use cases, guides solutions from discovery through commercialization, establishes AI platforms and standards, and defines measurable outcomes. Influences senior executives, partners with engineering and data teams, advocates responsible AI operations, and leads cross-functional product professionals while developing repeatable AI capabilities across the organization.

Leads AI product engineering and enterprise deployment of Generative and Agentic AI solutions. Owns AI product roadmaps, solution architecture, experimentation, MVP development, and scaled production delivery. Partners with product managers, data scientists, architects, executives, and business leaders to deliver measurable value. Manages and develops technical engineering teams while championing AI-native development, automation, testing, CI/CD, observability, and cloud-native software practices.

Leads enterprise GenAI and agentic AI strategy, product development, deployment, governance, and scaling. Manages Data Scientists and GenAI Engineers, influences executives, identifies high-value opportunities, and partners cross-functionally to deliver measurable business value. Oversees agent orchestration, tool use, RAG, memory, multi-agent architectures, evaluation, monitoring, security, reliability, responsible AI, and human oversight. Builds reusable AI capabilities and develops technical talent across the organization.