Top Tech Jobs & Startup Jobs in Seattle, WA

Leads global people operations and strategic HR programs for a rapidly scaling, distributed technology company. Builds AI-enabled HR tooling and automations, manages global employment compliance and EOR infrastructure, administers Rippling, develops leadership training, and oversees culture and engagement programs across 21 countries. Partners with leadership on compensation, performance cycles, workforce expansion, policies, and operational infrastructure.

Build and lead vCluster Labs’ global VAR, OEM, distributor, and alliance channel from zero to revenue. Recruit and activate strategic partners, establish commercial models and deal registration, secure OEM integrations, drive co-selling and enablement, manage MDF, inspect partner pipeline, and own bookings. Initially operate as an individual contributor, then hire and lead the channel organization across North America, EMEA, and APJ.

Owns end-to-end test strategy, designs scalable backend and UI automation frameworks, integrates automated testing into CI/CD pipelines, performs exploratory testing, and advocates for testability and reliability across engineering and product. The role requires strong programming, Kubernetes and distributed-systems knowledge, debugging ability, and cross-functional ownership in a fast-moving startup.

Lead global OEM, storage, and ISV alliances for vCluster Labs, owning partner strategy, executive relationships, joint solution validation, seller enablement, commercial agreements, pipeline, forecasting, and partner-attributed bookings. Build integrations and verified AI Factory configurations with hardware, storage, networking, software, NVIDIA, distributors, and channel partners. Drive partner-sourced revenue through field activation, joint pursuits, resale paths, marketing, and disciplined MEDDPICC-based pipeline management.

Own quote-to-cash processes, Salesforce administration, automation, deal desk support, commissions support, reporting, dashboards, data hygiene, and process documentation. Provide rapid support and enablement to sales representatives, maintain accurate pipeline and ARR data, resolve discrepancies across systems, and help design scalable revenue operations processes for a growing B2B SaaS company.

Own and execute a high-velocity social program for LinkedIn and X: plan and publish content, translate executive technical insights into thought leadership, manage community engagement, react to industry news, and provide live event coverage while upholding editorial quality and brand voice.

Design and build the core vCluster Platform using Go and deep Kubernetes expertise. Own backend features end to end, from technical design through release, while solving complex systems architecture challenges involving networking, storage, isolation, and resource sharing. Contribute to open-source projects and the Kubernetes community, operate autonomously in a high-growth startup, and help define scalable Kubernetes multi-tenancy solutions.

Design and develop the backend of the vCluster Platform using Go and deep Kubernetes expertise. Own features end to end, from technical design through release, while solving complex systems and multi-tenancy challenges. Contribute to open-source projects and Kubernetes community initiatives, build scalable isolation and resource-sharing solutions, and operate autonomously in a fast-growing startup environment.

Own post-sales customer outcomes for a technical SaaS platform. Lead onboarding, architecture workshops, integrations, success planning, adoption, business reviews, renewals, and expansion. Build relationships with executives, platform engineers, and DevOps teams while providing credible guidance on Kubernetes, RBAC, tenant isolation, and cloud infrastructure. Identify risks and growth opportunities, articulate business value, and advocate for customer needs internally.

Lead customer deployments of Kubernetes and vCluster on bare-metal GPU infrastructure, configuring GPU nodes, networking, storage, RDMA, and InfiniBand. Validate production-ready managed Kubernetes environments, troubleshoot complex infrastructure, transfer operational knowledge, document reusable deployment playbooks, and provide feedback to Engineering and Product. Support pre-sales proof-of-value engagements and help AI cloud and factory customers independently operate and scale their platforms.