Top Remote Jobs in Spokane, WA

Leads enterprise infrastructure strategy, operations, and staff for data centers, cloud platforms, servers, storage, virtualization, identity, Microsoft 365, monitoring, backup, and recovery. Oversees security, compliance, risk management, business continuity, incidents, vendors, licensing, projects, and service management. Develops roadmaps, standards, lifecycle plans, and investment recommendations while ensuring infrastructure is secure, reliable, scalable, documented, and cost-effective.

Manage strategic client relationships for digital marketing campaigns, providing updates, resolving issues, and offering guidance based on business goals and KPIs. Lead client budgets, forecasts, billing oversight, data analysis, reporting, and multi-channel strategy across SEM, SEO, CRO, social, shopping, and display. Collaborate with internal teams, educate clients, and apply industry expertise to drive measurable growth and client satisfaction.

Provides executive oversight across multiple specialty contracting projects, visiting job sites to address safety, productivity, and quality issues. The role supports project planning, performance metrics, client relationships, budgeting, documentation review, and operational execution. It collaborates with project managers, field teams, clients, and senior leadership to remove barriers, improve performance, and align field operations with company strategy. Regular job-site travel and hands-on field assessment are required.

Leads complex internal audit reviews across planning, fieldwork, and reporting. Responsibilities include evaluating internal controls, identifying and mitigating risks, ensuring regulatory compliance, drafting and presenting findings, managing audit staff, providing performance feedback, and serving as a subject matter expert. The role also supports risk intelligence, training, ad hoc projects, and senior leadership reporting.

Edit multi-cam reaction footage into fast-paced, retention-driven YouTube videos. Create strong 30-second hooks, kinetic typography, visual pop-ups, and high-quality sound design. Collaborate with lead editors, iterate on feedback, analyze retention data, maintain organized Premiere/After Effects projects, and optimize exports for YouTube.

The AI Product Manager is responsible for strategy and execution of AI solutions, managing product roadmaps, collaborating with teams, and improving AI performance through metrics and user feedback.

Administers multi-state health, welfare, retirement, and benefits programs while serving as the primary UKG HRIS administrator. Responsibilities include enrollments, leave-related benefits continuation, carrier reconciliation, open enrollment, 401(k) operations, HRIS transactions, integrations, reporting, compliance documentation, audits, employee support, and system testing. The role maintains data integrity, supports regulatory requirements, and trains HR partners and employees.

Conduct independent research on frontier AI evaluation and auditing. Design rigorous evaluations, audit methods, and reproducible experimental pipelines; analyze model capabilities, risks, robustness, and alignment-relevant behavior. Produce audit reports, recommendations, publications, tools, and presentations while collaborating with technical, policy, engineering, and standards teams. The role requires careful handling of confidential information and may involve pilot audits with frontier AI companies.

Own full-cycle recruiting for engineering and product teams, including intake, outbound sourcing, candidate assessment, interview execution, and offers. Partner strategically with engineering and product leaders to define hiring needs, maintain rigorous standards, build diverse talent pipelines, and evaluate technical and product candidates. Operate autonomously in a fast-moving, ambiguous environment while advising leadership on hiring strategy and transferable skills.

Build and maintain versioned data ingestion and conflation pipelines that transform complex retail and spatial data into accurate, reliable insights. Responsibilities include entity resolution, golden-record creation, rules-based normalization, RegEx logic, LLM integration, schema evolution, and cost-effective scaling. The role emphasizes engineering rigor, high-fidelity outputs, and production-ready data for consumer dashboards.