Top Remote Jobs in Spokane, WA

Gather and document business/technical requirements, design Workday reports and dashboards, ensure operational and financial data accuracy, recommend system/process improvements, support implementations and vendor relationships, and participate in ERP lifecycle and project delivery.

The YouTube Channel Manager will own the content journey, manage video production, engage with the community, and analyze data to improve strategy.

The Sr. Manager, RFP & Sales Intelligence leads proposal development and sales intelligence functions, manages a team, and drives strategic initiatives to enhance RFP processes, ensuring compliance and quality across submissions.

Customer-facing technical expert owning end-to-end implementations for enterprise customers, driving retention and expansion through architecture, integrations, custom development, troubleshooting, and cross-functional advocacy for security and compliance automation.

Lead and scale an enterprise Customer Success team for high-touch SaaS customers. Build CS processes, drive retention and expansion, manage escalations, collaborate cross-functionally, monitor performance metrics, and use data to improve outcomes for strategic accounts.

Partner with GTM leadership to drive talent strategy, performance management, employee engagement, org design, and HR initiatives. Coach managers, handle employee relations, analyze HR metrics, and collaborate with TA, Total Rewards, L&D, and HR Ops to scale the GTM organization.

The VP of Engineering for the Enterprise Platform will lead engineering teams, define platform architecture, and drive innovation for identity security solutions at SailPoint.

The Product Manager will oversee the entire product lifecycle, driving innovation, scoping work with stakeholders, and managing backlogs in an agile environment.

The role involves managing the product lifecycle of Salesforce functionalities, coordinating with teams, integrating AI, and ensuring product innovation based on stakeholder feedback.

Own and operate production-grade Kubernetes infrastructure on AWS, build GitOps CI/CD with GitHub Actions and ArgoCD, develop AI agents and internal DevOps tooling, maintain Datadog-based observability, and manage on-call incident response while collaborating with engineering teams to improve reliability and delivery speed.

Support procure-to-pay operations by managing vendor master data and onboarding, performing OFAC/TIN matching and 1099/1042 determinations, coding and reviewing AP invoices, handling virtual card transactions, organizing Zendesk tickets, aiding purchase requests, maintaining process documentation, and performing month-end reconciliations and automations.

Lead a team of designers in creating and improving automation tools, collaborating closely with product and engineering leaders to shape design strategy and deliver high-quality user experiences.

Lead end-to-end business process reengineering and transformation initiatives: assess current state, design near- and long-term solutions spanning customer experience, operations, digitization, automation and risk, develop implementation and sequencing plans, build business cases, and create executive materials to drive adoption and sustainable measurement.

Lead enterprise-wide task redefinition and scaling of productivity solutions (e.g., M365 Copilot). Identify high-impact use cases, design and pilot capabilities, manage intake and prioritization, enable adoption through playbooks and champion communities, partner with data teams to measure adoption and impact, and drive change management and governance for consistent reuse.

The Senior Business Operations Manager will drive market entry strategies, program management for launches, and build analytical models to enhance international growth.

The Senior Manager of Business Strategy & Operations will drive operational excellence in the sales organization, collaborating globally, enhancing efficiencies, and managing reporting and analytics.

As an R&D Intern, you'll work on developing solutions in revenue science, focusing on data preparation, analysis, and solution design, while collaborating with experts in machine learning.