Top Tech Jobs & Startup Jobs in Seattle, WA

Own the end-to-end console experience, including navigation, information architecture, onboarding, shared surfaces, and cross-product patterns. Lead the design system as a product by managing its component library, standards, roadmap, and adoption across teams. Set product-wide quality standards, collaborate closely with engineering, mentor UI engineers, and establish a creative vision for a simple, cohesive cloud console experience.

Own technical go-to-market strategy for AI-native cloud product lines and markets. Develop positioning, messaging, demos, sample applications, technical content, launches, sales enablement, and executive communications. Serve as a public technical voice, measure adoption and commercial impact, monitor the competitive landscape, and mentor product marketers while establishing team standards and repeatable launch frameworks.

Leads global data center design and deployment teams responsible for layouts, rack elevations, cabling, BOMs, installation packages, scheduling, budgets, contractors, commissioning, and operational handoff for AI/GPU infrastructure. Establishes repeatable deployment standards, manages cross-functional coordination, drives defect resolution and process improvements, and develops team talent across concurrent international programs.

As a Cloud Operations Administrator, ensure uptime for infrastructure, automate processes, troubleshoot issues, and coordinate operational work for improvement.

Design and build high-availability IAM services in Go at cloud scale. Develop authentication and authorization systems, SSO integrations using OIDC and SAML, policy-engine capabilities, multi-tenant identity models, and secure AI-agent workflows. Own reliability across Kubernetes and event-driven architectures, address security vulnerabilities, and provide technical leadership through code reviews, mentoring, and cross-functional collaboration.

The Staff Forward Deployed Engineer drives AI adoption for strategic customers by solving complex cloud infrastructure challenges, developing scalable assets, and influencing product roadmaps through collaboration and technical expertise.

Lead design and implementation of scalable, multi-tenant serverless inference services focused on throughput, GPU utilization, resiliency, observability, and operational tooling. Partner with platform and GPU teams, debug production performance issues, mentor engineers, drive incident response, and create reusable patterns, standards, and automation for inference workloads.

Lead applied research and engineering for feedback-driven agentic AI: define reward modeling and reinforcement learning roadmap, design production learning loops and evaluation frameworks, run large-scale experiments, and ship research into production while partnering across product and engineering.

Lead multi-year product strategy and roadmap for DigitalOcean's Data and AI platform. Own development of vector databases, knowledge bases, Iceberg-supported data primitives, and integrations for RAG and AI agents. Drive cross-functional execution, pricing, capacity planning, and customer-driven feature prioritization; measure utilization, reliability, and deployment velocity.

Own the security risk posture for the virtualization stack by building threat models, assessment rubrics, and defenses. Propose and implement mitigations, partner with engineering teams to drive remediations, mentor engineers on secure practices, and help oversee vulnerability management and security guidance.