Top Tech Jobs & Startup Jobs in Austin, TX

Lead strategic technology sales for Texas State, Local Government, and higher education customers. Build executive relationships, develop account plans, manage complex opportunities, forecast pipeline, and align WWT’s AI infrastructure, cloud, cybersecurity, data center, networking, and digital transformation solutions with customer objectives. Coordinate sales, engineering, consulting, OEM, and partner resources while facilitating workshops, demonstrations, briefings, and proof-of-concepts.

The AI Services Consultant develops and positions AI consulting engagements, collaborates across teams, and ensures service deliverables align with sales strategies.

The AI Solutions Architect drives technical pre-sales engagements, designs AI solutions, coordinates POCs, and collaborates with partners to win deals.

The AI Solutions Executive will focus on generating and closing AI opportunities within enterprise accounts, collaborating with field sales teams, and managing the sales cycle from discovery to closure.

Leads large, complex infrastructure projects and programs in a client-facing professional services environment. Manages multiple workstreams, schedules, resources, risks, scope, quality, stakeholder communications, and project financials including profitability, revenue, margins, and utilization. Builds customer relationships, coordinates cross-functional teams, oversees multisite technology deployments, and ensures timely, profitable delivery aligned with strategic objectives.

Owns intake and triage for marketing technology requests, learns marketing tools and data flows, and designs automation workflows with engineers and data scientists. Builds solutions using internal frameworks and low-code tools, tests variable AI outputs, guides user acceptance testing, documents processes, enables marketing teams, and measures business impact. The role connects marketing needs with agentic workflows, integrations, custom applications, and ML-based analysis.

Serves as a senior data center engineer delivering hands-on infrastructure projects for enterprise customers. Installs and integrates complex hardware and software systems, including VMware, storage, networking, hyper-converged infrastructure, data protection, and cloud solutions. Manages project engagements, advises customers, coordinates with internal teams, works under tight schedules, and builds customer relationships. The position may require travel up to 75% and involves mentoring less experienced personnel.

Architect and deliver high-scale NVIDIA GPU compute environments for enterprise AI workloads. Lead bare-metal provisioning, cluster management, operating-system hardening, scheduler and workload configuration, monitoring, performance validation, and day-two operations. Serve as a customer-facing technical authority, supporting presales discovery, architecture, bills of materials, estimation, and client workshops. Design repeatable AI infrastructure across DGX, HGX, MGX, NVL72, and Cisco AI POD platforms.

Architects and delivers high-performance AI networking fabrics using NVIDIA InfiniBand and Spectrum-X Ethernet. Designs lossless, automated, scalable network infrastructure for DGX and AI cloud environments; configures routing, QoS, RoCEv2, SHARP, telemetry, and DPU offload. Owns cabling, link validation, performance testing, infrastructure-as-code, and day-two operations. Provides technical leadership in client workshops, presales scoping, bills of materials, cost estimation, and integration with enterprise networks.

Works with enterprise clients to drive AI adoption by assessing readiness, identifying use cases, building adoption roadmaps, delivering training, and managing communications and champion programs. Develops prompt guides, AI-enabled workflows, dashboards, and adoption metrics. Facilitates workshops and office hours, supports responsible AI and safety practices, maintains risk registers, and creates reusable resources to scale and sustain AI usage.