Top Tech Jobs & Startup Jobs in Seattle, WA

Build and maintain Pure1 Manage SaaS platform and web applications across frontend and backend. Develop subscription/commerce features, data pipelines, and ML-driven analytics. Use AI tooling for code generation, work with microservices, containers, Kubernetes, and collaborate with UX and stakeholders to take projects to production while owning testing, CI/CD, and code review.

Designs and deploys complex Portworx and Kubernetes storage architectures for strategic customers across on-premises and cloud environments. Responsibilities include validating solutions, implementing storage and replication designs, testing failure scenarios, troubleshooting production rollouts, creating automation and documentation, training customer teams, and advising senior platform leaders. The role also captures product feedback, collaborates with Sales Engineering, Customer Success, and Support, and maintains customer relationships through periodic account visits.

Senior technical role partnering with sales, pre-sales, and product teams to define end-to-end enterprise storage and infrastructure solutions for GSI partners. Drive GSI strategy, grow partner revenue, craft proposals, evangelize technical value, mentor staff, and influence product and go-to-market priorities while staying current on industry and technology trends.

Lead technical strategy for managed service provider opportunities from discovery through close. Design multi-tenant, automated, API-driven architectures; model service economics and margins; conduct competitive positioning and proofs of concept; and support partner co-selling. Build trusted relationships with MSP architects and executives, enable partner technical teams, contribute reusable architectures and program requirements, and represent the company at technical events. The role requires deep data platform, cloud, Kubernetes, storage, virtualization, cybersecurity, and commercial expertise.

Leads the Americas Evergreen Subscription Sales organization, setting segment strategy, subscription adoption, recurring revenue, pipeline, and commercial effectiveness goals. Partners with Sales, Product, Finance, Customer Success, Marketing, Services, and Operations to execute market plans, manage forecasting and performance, shape strategic opportunities, develop organizational talent, and influence portfolio, pricing, policy, and cross-functional priorities.

Leads global Evergreen subscription sales strategy, execution, and organizational performance across Strategics and GSI segments. Develops sales motions, drives subscription adoption and recurring revenue, manages strategic customer and partner engagements, oversees pipeline and forecasting, and leads a global sales organization. Partners across Product, Finance, Customer Success, Marketing, Services, and Operations to improve commercial effectiveness, customer value, retention, and expansion.

Leads customer-facing AI advisory engagements, identifying use cases and designing end-to-end AI deployments across model selection, training, inference, data pipelines, and evaluation. Develops proof-of-value prototypes, enables sales and partner teams, presents at conferences, publishes technical content, and advises enterprise customers on AI strategy. Collaborates across engineering, sales, marketing, alliances, and enablement while independently driving research and production initiatives.

Leads and transforms Everpure’s Americas Partner Technical Manager organization. The role establishes operating models, metrics, partner practices, technical enablement, and opportunity-generation programs; develops strategic partner accounts and services offerings; drives partner-originated pipeline; coordinates cross-functional technical resources; and represents Everpure with partner executives. Success requires building scalable partner capabilities across AI, data platforms, cyber resilience, virtualization, Kubernetes, and storage-as-a-service while improving measurable commercial outcomes.

Designs, deploys, and optimizes production Kubernetes clusters across hybrid and multi-cloud environments. Builds CI/CD pipelines, GitOps workflows, and Infrastructure as Code automation for cloud-native platforms. Advises customers on complex container infrastructure challenges, troubleshoots production environments, and partners with engineering and support teams. Architects highly available containerized infrastructure, scale-out data platforms, and storage solutions for modern databases and data-processing workloads.

Leads enterprise AI-focused sales campaigns across a regional territory, advising C-suite and technical AI buyers on data platform and infrastructure solutions. Partners with account executives, solution architects, engineers, product teams, GSIs, and channel partners to develop use cases, reference architectures, ROI frameworks, and joint go-to-market strategies. Owns pipeline discipline, forecasting, account planning, complex deal orchestration, and AI solution positioning for enterprise workloads.