Top Remote Jobs in Spokane, WA

Handles inbound calls and warm leads, consults customers on insurance needs, recommends appropriate coverage and products, and converts prospects into policyholders. The role includes paid Property and Casualty licensing training, customer communication, sales closing, and adherence to remote-work requirements. Employees must work four weekdays and one weekend day, maintain a dedicated home workspace, and remain in their resident state for at least one year.

Build and maintain robotics software for simulation and real robotic arm hardware across motion planning, control, perception, and manipulation. Prototype ideas, harden successful systems for deployment, and develop tests and metrics to measure robot performance and prevent regressions. The role requires ownership, cross-functional collaboration, and practical expertise in robotics software development.

Territory Manager responsible for selling enterprise SaaS solutions, developing executive and partner relationships, managing pipelines, qualifying opportunities, and achieving revenue targets. The role includes consultative selling, account retention and upselling, business case development, tailored presentations, sales pursuit leadership, CRM and database maintenance, and aligning Enverus solutions with customer objectives. Energy industry experience and knowledge of owner relations, JIB, and revenue processes are preferred.

Build and maintain cross-platform Flutter applications for iOS and Android. Responsibilities include implementing state management, integrating RESTful APIs and external services, troubleshooting bugs, optimizing performance, reliability, security, and user experience, and managing app store deployments. The role involves collaborating in an agile team, contributing proactively to product decisions, and continuously improving mobile applications.

Leads and develops a Solution Consulting team supporting the Applied Epic portfolio. Responsibilities include coaching consultants, partnering with Sales, overseeing product demonstrations, supporting strategic deals, coordinating executive client engagements, aligning with Product and Marketing, and ensuring implementation handoffs. The role requires insurance or SaaS expertise, pre-sales experience, people management, AI product knowledge, and up to 50% nationwide travel.

Serve as a technical and strategic advisor throughout the customer lifecycle. Lead discovery, value selling, complex SaaS deals, technical validation, POCs, solution architecture, integrations, demos, onboarding readiness, and expansion strategy. Design scalable solutions using APIs, CRMs, data pipelines, marketing automation, and Zapier. Partner cross-functionally with Sales, Customer Success, Product, and Engineering while mentoring peers and creating reusable enablement assets.

Lead technical discovery, solution design, demos, POCs, and value selling for complex enterprise SaaS deals. Partner with sales, customer success, product, marketing, and engineering teams to architect integrations using APIs, CRMs, automation tools, and data pipelines. Influence product strategy, facilitate post-sale handoffs, build scalable enablement resources, and mentor solution consulting peers as a player-coach.

As a Security Architect, you will build secure agent runtimes and systems, ensuring robust security capabilities in agentic AI solutions while conducting security evaluations.

Own and scale Nasuni’s Marketing PMO by designing planning cadences, governance, intake processes, work-management infrastructure, metrics, and cross-functional operating models. Lead strategic programs involving marketing, IT, sales operations, finance, acquisitions, and transformation initiatives. Optimize Smartsheet, improve execution visibility and predictability, manage dependencies and risks, and implement AI-enabled workflows with appropriate validation and human accountability.

Lead end-to-end development of reliable care-agent tooling and software services integrating contact-center platforms with backend systems. Own architecture, performance, security, production operations, and technical direction while partnering with product, care operations, QA, and engineering teams. Translate operational workflows into scalable solutions, mentor engineers, and improve tools using agent feedback, operational metrics, and AI-assisted development practices.

Set technical direction for Toast’s Developer Experience platform, including local development, build tooling, shared libraries, testing frameworks, and developer portals. The role combines hands-on software engineering with architecture, cross-team technical leadership, AI-assisted development, developer productivity measurement, mentorship, and roadmap prioritization.

Leads aftersales performance across North Oklahoma dealerships by driving revenue, customer retention, customer satisfaction, and KPI achievement. Advises dealer leadership, executes Customer Care and Aftersales initiatives, analyzes dealership performance, develops business plans, resolves service concerns, and recommends operational improvements. The role is field-based, requires frequent travel of at least 50%, and involves regular vehicle operation.

Leads aftersales performance across West Texas dealerships by driving revenue growth, customer retention, customer experience, and KPI achievement. Advises dealer leadership, executes GM Customer Care & Aftersales initiatives, develops business plans, analyzes dealership performance, recommends operational improvements, and resolves customer concerns involving warranty, goodwill, and assistance centers. The role requires automotive service and parts knowledge, Excel proficiency, frequent territory travel, and relocation or residence within the approved territory.

Leads Motorsports Data Infrastructure and Data Science teams while owning the strategy, architecture, and delivery of data platforms supporting telemetry, simulation, trackside, analytics, and AI/ML use cases. Responsibilities include managing managers, designing streaming and batch pipelines, productionizing ML models, setting engineering standards, managing Azure and Databricks capacity, protecting sensitive data, and partnering with racing and executive stakeholders. The role remains hands-on in architecture, coding, code review, incident support, and technical problem-solving.