Top Remote Jobs in Spokane, WA

Leads the architecture, development, and production operation of complex data pipelines and platforms. Resolves scalability, data quality, reliability, and architectural challenges; evaluates data technologies; mentors engineers; establishes engineering standards; partners with product, analytics, and operations teams; communicates technical trade-offs; and conducts proofs of concept to guide platform strategy.

Write technically accurate case studies, articles, product explainers, launch materials, and social content for AI engineers, researchers, and technical leaders. Interview customers, partners, and internal experts; learn HUD’s platform and workflows; explain technical products and research clearly; support founder communications; manage content from ideation through publication; and improve content using reader and go-to-market feedback.

Support analytics by cleaning, validating, and transforming data; build dashboards and KPI reports; perform trend, cohort, and A/B testing analyses; improve data pipelines and forecasting; present insights to cross-functional teams.

Leads Covera Health’s approximately 30-person Engineering, AI, and Platform/IT organization. Owns architecture, engineering standards, technical execution, reliability, security, data platforms, and production systems while partnering with the CPTO on strategy. The role requires hands-on technical leadership, development of engineering managers, cross-functional collaboration, recruitment and retention, and oversight of scalable healthcare data and AI platforms. The leader will remain involved in architecture reviews, technical decisions, complex data challenges, and critical production incidents.

Manage strategic payment-processing partners by building executive relationships, driving revenue growth, identifying market and merchant opportunities, and supporting implementations and product adoption. Develop partner strategies, advocate for partner needs, coordinate cross-functional teams, manage strategic deals from pitch through launch, maintain Salesforce records, and execute marketing programs that increase partner advocacy and merchant processing volume.

Designs and manages DevOps processes, automation, CI/CD pipelines, cloud environments, containerized infrastructure, observability, and release systems. Partners with development, QA, DataOps, architecture, support, and operations teams to improve reliability, security, scalability, and performance. Responsibilities include infrastructure provisioning, monitoring, troubleshooting, root-cause analysis, technical documentation, tool evaluation, production support, and continuous improvement.

Own strategic relationships for an enterprise customer portfolio, serving as a trusted advisor and product expert. Develop success plans, drive adoption and retention, identify churn risks, conduct business reviews, analyze customer health and usage data, and coordinate with Product, Support, Sales, and Onboarding teams. The role also supports customer advocacy, feedback escalation, and improvements to customer journeys and service delivery.

Leads end-to-end customer contracting, including drafting, redlining, and negotiating MSAs, SOWs, order forms, amendments, and NDAs. Manages vendor onboarding, security questionnaires, due diligence, contract governance, and RFP/RFI responses. Partners with Legal, Sales, Product, Engineering, and Delivery teams while maintaining contract records and advising on commercial operations tools. This fully remote individual contributor role requires strong contractual judgment, autonomy, and occasional travel.

Run sales onboarding and ramp programs, including curricula, certifications, milestones, cohorts, and manager check-ins. Build onboarding for sales leaders, support product enablement and launches, manage enablement intake, and maintain enablement systems and content organization. Use AI to automate tasks and report on ramp time, certification rates, and content usage. Serve as a cross-trained backup across core enablement programs and systems.

Build and deploy NLP and LLM-based machine learning models for an AI-powered risk intelligence platform. Responsibilities include text classification, entity extraction, clustering, topic detection, RAG, agentic workflows, semantic search, model evaluation, production monitoring, retraining, and scalable ML service deployment. Collaborate remotely with data engineers, backend engineers, and product stakeholders on high-volume, multilingual text data.