Top Remote Jobs in Spokane, WA

Lead and scale quantitative trading and liquidity strategies for NEAR Intents. Design game-theoretic models, build signal generation and execution systems, develop research and simulation infrastructure, translate research into production, monitor performance, and hire and mentor a quantitative research team while partnering with protocol and product teams.

The Senior Software Engineer will architect and develop the Solver network, ensuring performance, collaborating with teams, and leading engineering standards.

Lead full enterprise sales cycles selling AI-driven supply chain solutions to mid-market and enterprise manufacturers and distributors. Qualify inbound and outbound opportunities, run discovery, technical validation, procurement and close deals. Build repeatable GTM playbook, manage 3–12 month pipelines with accurate forecasting, collaborate with engineers for solution configuration, and relay market feedback to product.

Manage and secure enterprise identity environment including Active Directory and Okta. Handle user lifecycle (provisioning/deprovisioning), lead IAM projects and integrations (CyberArk, SAP), partner with engineers and business units, and support identity and access needs across the organization.

The Director of Systems Engineering will lead and mentor teams in developing cardiac health monitoring technologies, ensuring compliance and effective product lifecycles.

Maintain and improve developer workflows and core platform systems: CI/distributed CI, build/release packaging, regression tracking automation, and developer tooling. Support developers across languages and systems, keep CI healthy and responsive, package releases, and build tools to reduce developer pain points while collaborating with engineering and product teams.

Lead pre-sales and delivery for end-to-end Oracle Cloud technical solutions. Engage clients to gather requirements, design Oracle SaaS/PaaS/OIC architectures, create proposals, estimates, and project plans, hand off to delivery teams, provide technical oversight, train staff, and ensure methodology and successful implementation. Travel up to 50% domestically.

Design, build, and operate production-grade AI systems using ML, LLMs, RAG, and agentic workflows. Define evaluation strategies, implement data/retrieval/orchestration layers, apply MLOps/LLMOps, and partner with stakeholders to prioritize, monitor, troubleshoot, and improve AI solutions balancing quality, latency, cost, reliability, and maintainability.

Lead a 6–8 engineer team building an SSH client, web app, and backend services for an agentic AI platform. Own architecture, hiring, process, roadmap partnership with product, incident response, and mentorship while remaining ~20% hands-on.

Lead design, development, and optimization of Power BI dashboards and data models, analyze complex business problems using SQL and large datasets, deliver insights to executive leadership, maintain data accuracy and KPIs, drive BI process improvements and automation, and serve as the Power BI subject-matter expert across cross-functional teams.

Handle inbound telephone, digital, and written customer inquiries about benefits and provider issues. Resolve and escalate complex questions, record interactions, follow policies, and work within defined quality standards while managing multiple applications.

Lead analytics projects using advanced and predictive modeling to optimize programs, forecast behavior, and drive revenue. Partner consultatively with business, IT, and SMEs across project lifecycle—intake through delivery—communicating results to stakeholders and senior leadership. Work independently on complex technical approaches and influence department strategy.

Own end-to-end release cadences for open-source and managed cloud products. Coordinate engineering, product, QA, DevOps, docs, and customer success. Define quality gates, build release automation and runbooks, mitigate release risks, serve as release contact, and run retrospectives to drive continuous improvement.

The Software Engineer will provide technical support to customers, collaborate with engineering teams, and drive customer success initiatives while leveraging Python and SQL expertise.

Support post-sale onboarding for enterprise and mid-market customers: coordinate implementation tasks, schedules, and stakeholders; assist with platform configuration and ATS/HRIS integrations; validate data mappings and testing; communicate with customers and internal teams; maintain project plans and documentation to ensure smooth go-lives.