Top Remote Jobs in Spokane, WA

The Staff Machine Learning Engineer will design and build scalable ML systems, mentor engineers, and drive AI strategy at SailPoint, focusing on AI-powered identity security solutions.

As a Senior Data Scientist, you'll develop fraud detection models, perform detailed analyses, and work closely with teams to drive product innovation and business outcomes.

The Lead Infrastructure Engineer will define and build infrastructure at Atticus, managing platforms, security, reliability, and empowering engineering teams.

Lead product-focused communications for MongoDB by mining product stories, managing media relations, building executive thought leadership, partnering with cross-functional teams, shaping messaging, measuring impact, and supporting launches and campaigns across the product portfolio.

Lead Americas corporate travel program strategy and operations, managing vendors, costs, compliance, traveler experience, and regional policy localization. Partner with Finance, HR, Procurement, Security, and stakeholders to drive savings, supplier adoption, risk management, and program governance.

The Associate General Counsel will manage legal matters including contracts, regulatory analysis, and product counseling, supporting Vetcove's growth and legal strategy.

Lead Brigit's product organization across product management, design, and research. Own product vision, roadmaps, and outcomes (acquisition, conversion, engagement, monetization). Build and scale cross-functional teams, drive data-informed experimentation, and partner with engineering, data, and marketing to optimize product velocity and business metrics in a regulated consumer fintech environment.

Lead design and scaling of the data platform and analytics pipelines. Build and maintain ETL/ELT workflows, integrations, serverless data services, and reliable data models. Mentor teammates, improve automation, observability, and data governance to support analytics and operational insights.

Design, build, and own scalable data pipelines and evaluation systems that power production AI features and internal analytics. Ensure data quality across ingestion, modeling, and reporting, collaborate with ML and analytics teams, deploy and monitor ML systems, and establish standards for data work and evaluation.

Serve as the technical lead for partner integrations of DNSid: design and build production-grade integrations, run POCs and workshops, produce enablement materials, translate partner requirements into product feedback, and own the path from demo to deployment while collaborating with product, standards, and engineering teams.

Lead developer marketing for DNSid: create developer onboarding, docs, SDK/API promotion, tutorials, webinars, and community programs. Build GitHub/open-source engagement, partner integrations, hackathons, and feedback loops with Product and Engineering to drive developer adoption and advocacy.

Lead integrated marketing and market development for Innovation Labs, building strategy, campaigns, website and executive thought leadership. Drive PR, events, partner marketing, ABM, personalized executive engagement using AI, and cross-functional alignment. Manage budget, agencies, and performance metrics to position DNSid as a thought leader and support commercial pipeline growth.

Lead and scale Forward Deployed Engineering and Technical Support teams, owning customer technical outcomes from pre-sales through deployment. Define engagement models, SLAs/SLOs, on-call/escalation structures, tooling, and feedback loops into Product and Engineering. Partner cross-functionally to prioritize roadmap, improve self-service, and drive operational discipline.

Drive full-cycle enterprise sales to acquire strategic AI/ML and infrastructure customers. Prospect, qualify, negotiate complex high-ARR deals, manage pipeline and forecasts, partner with engineering, and ensure smooth handoffs to customer success. Represent Runpod at customer meetings and industry events.