Top Tech Jobs & Startup Jobs in Spokane, WA

Design and scale backend services, data pipelines, event-driven systems, and integrations supporting autonomous manufacturing operations. Build LLM agents and RAG workflows for supplier document analysis, manage PostgreSQL data models, integrate ERP and freight APIs, implement caching and rate limiting, and establish observability and incident response practices. The role requires transactional processing expertise, NLP/ML pipeline experience, and manufacturing supply chain domain knowledge.

Leads platform engineering strategy across Azure infrastructure, legacy Windows Server workloads, infrastructure as code, CI/CD, reliability, identity, security, cost optimization, and engineering tooling. Builds and develops a platform engineering team while overseeing tenant consolidation, modernization, observability, incident response, and developer self-service. Partners with Security and Compliance to support sensitive and regulated data environments.

Leads global pipeline strategy, executive pipeline governance, and Sales Development capacity planning. Builds pipeline targets, coverage models, operating cadences, compensation frameworks, and career architecture for xDR teams. Partners cross-functionally across Sales, Marketing, Partnerships, Product GTM, and Programs to improve pipeline generation and executive decision-making. Uses AI, automation, analytics, and strategic reporting to optimize workflows, productivity, and account coverage.

Analyzes and transforms data to create Tableau dashboards, reporting tools, and business intelligence solutions. Leads data-cleaning scripts using Databricks, SQL, and Python; maintains analytics solutions; identifies workflow automation opportunities; and translates client needs into scalable analytics and data science use cases. The role supports federal government clients, consulting delivery, business development, and stakeholder presentations.

Leads and scales AfterShip’s distributed Marketing Creative team, including hiring, coaching, creative direction, brand evolution, and performance management. Owns creative across campaigns, product launches, digital channels, and marketing surfaces. Builds AI-powered, cloud-based production workflows and design systems that improve speed, quality, and scalability. Partners with marketing stakeholders, manages agencies and freelancers, and establishes processes that support high-volume creative output.

Own the technical sales process for enterprise security, privacy, AppSec, and GRC buyers. Responsibilities include technical discovery, tailored demos, proofs of value, architecture discussions, security and data-handling objections, vendor reviews, and reusable demo and evaluation materials. Partner with Sales through signature while translating customer feedback into actionable improvements for Engineering.

Provide internal and customer-facing managed infrastructure support, including monitoring, incident response, systems administration, network troubleshooting, Azure and virtualization administration, escalation management, documentation, and change activities. Resolve incidents within SLA targets, participate in root cause analysis, maintain infrastructure records, and use PowerShell automation to improve operations. The role also serves as a technical escalation point and mentors junior engineers.

Leads sales operations, coaches representatives and managers, manages KPIs and CRM processes, oversees training and hiring, supports financing and transactions, and drives accountability, productivity, and revenue growth across sales teams.

Supports employee relations, onboarding and offboarding, HR compliance, payroll assistance, employee satisfaction surveys, policy updates, reporting, HR documentation, and special projects. The role advises managers and employees, addresses performance and disciplinary matters, maintains HR records, and supports day-to-day office and people operations in compliance with California and federal employment laws.

Leads Marketing's data architecture, metric governance, analytical modeling, predictive modeling, experimentation, and executive performance reporting. Manages three to four analysts while remaining hands-on with advanced SQL, Snowflake data validation, dimensional modeling, cross-system reconciliation, attribution, customer analytics, and AI-assisted natural-language analytics. Partners with engineering, governance, product, and marketing teams to define data products, ensure analytical accuracy, and establish scalable measurement standards.