Top Remote Senior Level Jobs in Spokane, WA

Lead and mentor a software engineering squad while remaining hands-on with code reviews, design discussions, and occasional development. Own the software development lifecycle, drive sprint execution, remove blockers, ensure secure and high-quality delivery, and partner with product and engineering leadership. Support open-source contributors, communicate progress and risks, and guide engineers’ technical and professional growth.

Partners with account executives, customers, Customer Success, and Product to lead discovery, solution design, technical validation, business-case development, demonstrations, workshops, and trials. Translates customer objectives into Webflow solutions, communicates technical value, influences product direction, and supports multiple opportunities. The role requires consultative selling, strong storytelling and presentation skills, familiarity with APIs and web technologies, creative AI-assisted problem-solving, and up to 25% travel.

Leads enterprise data security and information governance by building data intake, catalog, marketplace, classification, lineage, and access-control programs. Translates privacy and security requirements into technical controls, self-service workflows, and governance documentation. Partners with Legal, InfoSec, engineering, product, and data teams to support compliant data use, AI/ML initiatives, and regulatory requirements including HIPAA, GDPR, and CCPA. Measures adoption, turnaround times, and governance maturity across a global SaaS organization.

Own the strategy, performance, growth, partnerships, and roadmap for CouponFollow’s browser extension and mobile apps. Lead consumer product business planning, revenue and KPI accountability, acquisition and retention analytics, CPA/CPI partnerships, affiliate distribution, creator growth, compliance, and cross-functional execution with product, engineering, data, legal, and leadership teams.

Lead design, build, and deploy of large-scale data platforms for LLMs, RAG, and agentic AI systems. Hands-on coding, architecting fault-tolerant pipelines, establishing MLOps/DataOps best practices, mentoring engineers, and operationalizing research into production across Exabyte-scale distributed systems.

Serve as a strategic finance partner to Product leadership, building financial models, forecasts, business cases, and scenario analyses for growth initiatives, pricing, investments, and resource allocation. Analyze SaaS metrics such as ARR, retention, churn, and unit economics, translating complex data into recommendations for senior leaders. Collaborate across Product, Finance, Data Science, and Marketing while improving analysis through automation, standardized processes, and AI-enabled workflows.

Lead programmatic analytics for clients and internal teams by analyzing campaign and model performance, designing tests, developing measurement solutions, recommending optimizations, and presenting actionable insights. Partner with Sales, Customer Success, Product, Engineering, and clients to align marketing strategies, reporting requirements, and optimization efforts with business goals.

Develop and maintain production machine learning models, build scalable training and serving technologies, optimize real-time and batch ML pipelines, and monitor model performance and drift. The role involves deep neural networks, recommendation systems, automated retraining, ML research, engineering excellence, and communicating technical concepts to diverse audiences. Candidates need 6+ years of industry ML experience, strong coding skills, and experience deploying neural networks at scale.

Lead the Performance and Quality Frameworks team, owning scalable performance engineering platforms and shared functional testing frameworks. Drive architecture, reliability, adoption, documentation, self-service, and roadmap execution across product teams. Apply AI tools such as Cursor and Claude Code to improve test development, maintenance, analysis, and engineering efficiency. Partner with cross-functional stakeholders, mentor engineers, measure framework outcomes, and support highly distributed SaaS systems using cloud, microservices, containers, and CI/CD technologies.

Lead the technical roadmap for partner integrations across APIs, SDKs, and web experiences. Design and build scalable products, standardize external partner integrations, and deliver payment and data-sharing capabilities. Collaborate with Engineering, Product, Design, Infrastructure, Sales, Partner, and Customer Success teams while remaining hands-on. Drive architecture, code quality, delivery, stakeholder alignment, and technical strategy for high-impact fintech products.