Top Tech Jobs & Startup Jobs in Austin, TX

Lead go-to-market strategy and technical content for Mirantis’s k0rdent AI infrastructure platform. Develop positioning, blogs, tutorials, solution briefs, case studies, launch kits, and sales enablement assets for technical buyers. Collaborate with engineering, product, sales, and solution architects; create hands-on product content; support customer references; and use content performance data to optimize campaigns and asset mix.

Own the technical go-to-market strategy for k0rdent AI by creating white papers, demos, benchmarks, competitive analyses, and certification materials. Validate technical claims through hands-on lab testing, engage customers and prospects in architecture reviews, enable sales engineers with POC plans and sizing models, support analyst and conference briefings, and provide roadmap feedback to product management. The role requires deep Kubernetes, GPU infrastructure, high-performance networking, AI platform, and technical content expertise.

Own the vision, roadmap, and feature priorities for Mirantis’s Kubernetes-as-a-Service offering for AI infrastructure providers. Translate customer and partner requirements into scalable cluster lifecycle, multi-tenancy, GPU, security, upgrade, and add-on capabilities. Collaborate with engineering, architecture, marketing, field teams, and ecosystem partners. Define positioning, packaging, competitive differentiation, technical collateral, and go-to-market strategy while supporting strategic accounts and representing the product externally.

Provide solutions architecture and technical guidance to enterprise customers for Mirantis Kubernetes Engine. Lead POCs and pilots, enable partners, develop best-practice assets, and advocate customer needs across Sales, Product, and Engineering throughout the sales and post-sales lifecycle.

Lead go-to-market execution for k0rdent Enterprise: create positioning, messaging, sales enablement materials, support sales calls, run GTM launches, engage analysts, track competitive landscape and win/loss, gather customer insights, and own commercial performance and pipeline metrics.

Own end-to-end US recruiting for technical and business roles, including sourcing, pipeline development, hiring-manager advising, candidate experience, and closing. Recruiters will support engineering, product, account executive, pre-sales architect, and other go-to-market hiring. The role requires independent management of multiple searches, talent-market research, ATS administration in SmartRecruiters, and collaboration across distributed teams and time zones.

Provides department-wide technical direction for k0rdent across Kubernetes, AI infrastructure, AI applications, and observability. Designs cross-cutting systems, establishes engineering standards, resolves architectural risks, mentors Staff and Principal engineers, and aligns product strategy with durable technical execution. The role also engages customers, partners, upstream communities, and industry forums while contributing code and prototypes to solve complex infrastructure problems.

Build and own a multi-tenant web platform for managing AI infrastructure. Develop Next.js and React features, server-side authentication and API proxying, generated TypeScript SDKs, resilient data synchronization, design-system components, accessibility, performance, testing, observability, and production deployment. Collaborate with backend and globally distributed teams, review code, troubleshoot production issues, and mentor junior engineers.

Design and implement infrastructure services for a GPU-as-a-Service platform. Build REST and gRPC APIs, bare-metal provisioning workflows, Kubernetes cluster automation, reconciliation loops, and durable asynchronous operations. Manage server enrollment, inspection, OS provisioning, cluster creation, hardware inventory interfaces, error handling, idempotency, and multi-tenant infrastructure reliability.

Design and develop Rust and Go control-plane microservices, Kubernetes operators, reconciliation engines, and APIs for bare-metal AI infrastructure. Integrate datacenter networking systems, DPUs, network operating systems, and hardware-management platforms. Build observability with OpenTelemetry, troubleshoot distributed systems, and maintain rigorous testing practices. The role requires expertise in datacenter networking protocols, Linux networking, Kubernetes, provisioning, security, virtualization, and high-performance interconnects, along with architectural documentation and open-source collaboration.