Top Remote Senior Level Jobs in Spokane, WA

Lead the company’s finance function and partner with the CEO on budgeting, forecasting, cash flow, reporting, financial modeling, profitability, and strategic growth decisions. Oversee accounting, treasury, payments, liquidity, foreign exchange, settlements, receivables, tax, audits, and statutory compliance across multiple jurisdictions. Build finance processes, controls, systems, and teams while collaborating with commercial and operational departments.

Develop and deploy AI-native systems supporting legal and compliance operations. Build production RAG and agentic AI solutions, including retrieval, memory, tool use, multi-agent workflows, and evaluation frameworks. Partner with Legal, Compliance, and the MLRO to translate regulatory and operational needs into scalable tools. Conduct independent research, prototype solutions, benchmark system performance, and support compliance reviews, remediation tracking, product launches, and related operational activities.

Plan and execute events, webinars, and speaking opportunities to generate qualified leads; build and manage strategic partner relationships and joint-marketing programs; collaborate with Sales, Product Marketing, and Content to align messaging, track ROI, and expand partner ecosystem in target markets (e-commerce, SaaS, multi-entity businesses).

Develop machine learning, AI, statistical, and predictive models using Snowflake and other data sources. Perform data extraction, cleansing, feature engineering, experimentation, visualization, and quality analysis. Partner with business and technical teams to deliver data products, conversational analytics, and actionable recommendations. Lead discovery sessions, communicate insights to nontechnical audiences, mentor analysts, and support enterprise data science projects.

Leads research on the economic impact of AI and technology disruption across markets, business models, and value chains. Synthesizes economic analysis, quantitative evidence, financial statements, market intelligence, and emerging signals into Gartner thought leadership and executive recommendations. The role includes client engagement, presentations, media interactions, content development, peer review, sales support, mentoring, and shaping research agendas.

Lead product design strategy and execution for complex HighLevel platform experiences. Partner with product, engineering, research, and data teams to define vision, design workflows, improve usability and accessibility, and establish scalable design standards. Use customer insights and metrics to guide decisions, lead quality reviews, mentor designers, facilitate critique, and influence product direction across a distributed remote organization.

Design, develop, and maintain scalable backend systems for a composite AI platform (agent-based systems, LLM integrations, RAG). Own technical vision and roadmap, make architecture decisions, establish engineering best practices, provide senior technical leadership, and deliver high-impact production software.

Build, test, deploy, and support production software using .NET/C#, React or Next.js, cloud platforms, databases, observability, and modern architecture patterns. Incorporate Claude Code, Gemini CLI, AI agents, MCP, and automation into structured engineering workflows while validating AI-generated output. Own delivery from planning through production, implement secure integrations and testing, document architectural decisions, troubleshoot systems, identify risks, and mentor engineers on responsible AI adoption.

Designs and builds PyTorch components optimized for systems ranging from thousands to hundreds of thousands of GPUs. Collaborates with hardware and software teams to improve GPU performance, develops production AI solutions for enterprise customers, and supports internal AI research tools. The role requires deep learning expertise, C++ proficiency, systems software knowledge, distributed and parallel programming experience, and large-scale software development skills.

Own the full lifecycle of production classification and detection models, including transformer fine-tuning, entity detection, behavioral risk scoring, training, serving, versioning, evaluation, drift detection, and retraining. Build SageMaker-based ML systems and define output contracts supporting audit and policy enforcement. Lead the evaluation harness and mentor a co-op while operating as the company’s sole ML engineer.