Top Tech Jobs & Startup Jobs in Seattle, WA

Drive net-new business within a regional territory by prospecting medium-to-large accounts, developing tailored solutions and pricing with internal partners, delivering presentations, closing deals, onboarding clients, and using prescribed sales tools and CRM to document engagements.

Coordinate and manage print implementations from signed proposal to web-ordering setup. Verify pricing, specs, artwork, and requirements; lead implementation calls; collaborate with sales, vendors, and customers to meet timelines and collect missing information.

Own retention, repeat purchase, and loyalty across Quill.com. Define strategy and roadmap, optimize customer journeys, run A/B tests and analytics, collaborate cross-functionally, and measure improvements in retention and lifetime value.

Lead and develop a sales engineering team to onboard complex enterprise customers, oversee end-to-end onboarding projects, partner with sales, manage workload and metrics, resolve escalations, design scalable onboarding solutions, and drive process improvements using data.

Manage day-to-day telecom operations and a team supporting enterprise voice, unified communications, and contact center platforms. Oversee implementations, upgrades, vendor/carrier relationships, telecom expense management, incident resolution, reporting, and cost optimization to ensure reliable, secure, and scalable telecom services across stores, contact centers, and corporate locations.

Design, configure, and administer the Splunk observability platform for enterprise-scale log and event ingestion. Optimize pipelines for performance, cost, and retention; integrate Splunk with cloud platforms (AWS, Azure, Kubernetes), CI/CD and deployment tools (Puppet, Ansible), and enterprise systems (ServiceNow, PagerDuty). Implement automation using Python/Bash, manage Splunk apps/roles, and support observability and APM initiatives while collaborating within SAFe using Jira and Confluence.

Lead strategy, roadmap, and scaling of enterprise AI/ML platforms (including GenAI and agent frameworks). Enable cross-functional teams to build, deploy, govern, and operate production-grade AI solutions; define architecture and guardrails; track adoption, reliability, cost, and developer productivity; partner with Security, Privacy, Cloud, and vendor partners; and drive platform delivery through agile execution.

Lead architecture and evolution of enterprise observability platforms (APM, infrastructure monitoring, session replay, log analytics). Define integration patterns, telemetry standards, and governance. Partner with Engineering, SRE, Product, and Infrastructure to embed observability best practices, evaluate new technologies (OpenTelemetry, distributed tracing, AI-driven observability), drive platform standardization, and manage vendor relationships to improve MTTD/MTTR and system reliability.