Top Remote Jobs in Portland, ME

Build and maintain automated test infrastructure for data-science microservices, design and run test strategies, troubleshoot automation across environments, validate fixes, and collaborate with engineers to ensure reliable, scalable data products and ML model testing.

Act as liaison between business stakeholders and development teams to gather requirements, produce BRD/FRD, map processes, support UAT, troubleshoot systems, analyze transactional data, and implement Order-to-Cash and healthcare-related system/process improvements.

Lead an end-to-end data domain: define processing and validation, build reusable methodologies and QA/monitoring systems, partner with product and engineering to set technical direction, onboard new datasets, apply AI/automation to reduce manual work, and mentor junior analysts to scale domain capabilities.

Lead high-impact, cross-product engineering initiatives as the top individual contributor. Define success, simplify complex systems, shape technical strategy, coach senior engineers, and drive measurable outcomes. Stay hands-on with code and production systems while enabling teams and using AI tools to accelerate delivery.

Own and evolve revenue systems (Salesforce, CPQ), build and govern the enterprise data platform, drive systems integration and AI enablement, manage HRIS and vendor relationships, and lead a cross-functional team supporting Finance, HR, Sales, Operations, and Customer Success.

Manage onboarding and enablement operations: set up learners in the LMS, schedule and deliver virtual training, maintain training records and knowledge base content, gather feedback, and recommend process improvements to align training with system and workflow changes.

Lead complex commercial underwriting quality audits, analyze findings and trends, present recommendations to leadership, drive calibration and corrective actions, mentor QA staff, and support development of QA processes, reporting, and system enhancements to improve underwriting consistency and operations.

Lead enterprise AI architecture strategy and roadmap; design scalable AI, data, and integration architectures; establish reusable frameworks, standards, and governance; drive platform and technology selection; ensure security, compliance, and responsible AI; partner with business leaders and mentor teams to deliver enterprise-scale AI solutions.

Manage accounting for multiple early-stage clients: prepare and review financial reports; record payroll, AR, AP, and fixed assets; run ad hoc analyses; maintain cloud filing and proprietary app; track billable hours; monitor client Slack and Front; ensure compliance with accounting principles and identify process improvements.

Seasoned finance leader responsible for FP&A across a major sub-organization: budgeting, rolling forecasts, GAAP forecasting, board and investor reporting, cash flow and working capital forecasting, valuation and business case analysis, product profitability, and partnering with cross-functional finance teams. Leads and develops a team, supports covenant and corporate development, uses AI to drive insights, and prepares executive and investor materials. 12-month contract, remote.