Top Remote Jobs in Portland, OR

Own global people operations and employee experience, including HRIS data management, onboarding, performance reviews, payroll, benefits, compliance, reporting, employment documentation, and EOR coordination. Partner with Finance, Legal, IT, Recruiting, Operations, and vendors to build scalable processes. Drive continuous improvement through analytics, AI, and automation while ensuring accurate employee data and effective employee support.

Advise undergraduate and graduate students on program requirements, course scheduling, academic progress, and career goals. Maintain student records, analyze data, resolve academic issues, and conduct proactive outreach to support retention and program completion. Collaborate with university offices and committees, prepare reports, and support enrollment and persistence initiatives. The role is remote within approved states and may require occasional evening or weekend work.

Analyzes federal financial operations, business processes, workflows, requirements, and data to improve performance and reporting. Partners with government stakeholders and interdisciplinary teams to recommend technology and process solutions, document SDLC deliverables, develop test plans, and manage testing. The role also facilitates workshops, supports solution adoption, and translates complex findings for technical and non-technical audiences in a consulting environment.

Manage core HR functions across the employee lifecycle, including onboarding, employee relations, performance management, development plans, compliance, policies, records, HR reporting, and employee engagement. Advise employees and managers, support performance review processes, maintain confidential HR data, ensure employment-law compliance, and lead HR initiatives and process improvements.

Serve as the technical and product expert for enterprise partners, supporting API integrations, onboarding, solution design, demos, RFPs, security questionnaires, and technical sales engagements. Manage customer relationships, translate business and regulatory requirements for global product and engineering teams, coordinate with local partners and regulators, and support localized product adoption. The role requires strong API and integration expertise, Mandarin fluency, enterprise customer experience, and collaboration across sales, product, engineering, compliance, and operations.

Leads enterprise AI-driven marketing and creative transformation programs for clients. Responsibilities include executive advisory, discovery workshops, use-case roadmaps, solution design, platform configuration, integrations, deployment, change management, adoption, governance, success metrics, and implementation playbooks. The role translates business needs into technical requirements while guiding customers in using generative AI to improve content production, brand consistency, and campaign performance.

Build predictive and machine learning models for patient needs, operational forecasting, churn, advocate quality, and risk. Design A/B tests and causal inference studies, apply advanced statistical methods, productionize models with data engineers, and communicate insights to business stakeholders. The role requires Python, advanced SQL, forecasting expertise, statistical proficiency, data privacy awareness, and the ability to work independently in a fast-paced healthcare startup.

Leads enterprise finance and accounting, including financial reporting, close management, audits, tax coordination, internal controls, budgeting, forecasting, scenario planning, expense management, and long-term financial modeling. Partners with executives and board committees on financial analysis and strategic decisions, oversees core accounting processes, manages capitalization and 409A activities, and improves scalable finance systems and controls. Provides technical direction to accounting staff and supports regulatory and operational risk management.

Leads enterprise process analysis, redesign, and transformation initiatives across business functions. Uses Lean, Six Sigma, DMAIC, value-stream mapping, systems engineering, process mining, and automation methods to improve cycle time, cost, quality, compliance, and capacity. Facilitates stakeholders, defines requirements and governance, establishes performance metrics, supports technology implementation, and presents recommendations to leadership. Provides mentorship and subject matter expertise without formal people-management responsibility.

Scale and improve the reliability, performance, and scalability of Fleetio’s Ruby on Rails application and infrastructure. Responsibilities include observability, incident response, AI-powered automation, database capacity planning, disaster recovery, backups, documentation, performance analysis, code review, and on-call participation. The role collaborates with engineering teams to address bottlenecks and adopt AI-driven reliability practices.