Top Tech Jobs & Startup Jobs in Austin, TX

Serve as embedded IT risk partner for engineering and technology teams, owning IT SOX readiness, control design, testing coordination, remediation oversight and auditor liaison. Assess ITGCs and application controls across cloud, DevOps, CI/CD, IAM and Kubernetes environments. Drive control automation, continuous monitoring, evidence quality, and translate technical risks into practical guidance for engineers, Finance, and external auditors.

Lead multidisciplinary technical due diligence for powered land and build-to-suit AI infrastructure across the Americas. Define and manage scopes, procure and oversee consultants, interpret technical studies (geotechnical, environmental, utilities, network), quantify risks, recommend mitigations, and present findings to support acquisition and development decisions. Build repeatable standards, playbooks, and consultant networks.

Lead and scale a Forward Deployed Engineering organization supporting AI customers: hire and coach FDEs, define operating models and technical standards, engage executives and partners, convert field learnings into reusable platform improvements, and represent the function in product and ecosystem strategy.

Drive adoption of Nebius AI and cloud solutions by generating leads, building enterprise relationships, crafting solution proposals with technical teams, negotiating contracts with C-suite buyers, and closing deals to meet revenue targets. Collaborate cross-functionally and stay current on industry trends to position offerings effectively.

Lead and grow strategic MSP and VAR partnerships across the US: develop partner enablement, negotiate contracts, align with sales and leadership, drive business development, analyze partner performance, and travel up to ~25% regionally.

Design, build, and operate reliable backend systems while mentoring engineers, participating in design discussions, and improving system performance.

Embedded with strategic customers, own end-to-end design, build, and production rollout of cloud infrastructure for large-scale GPU/HPC AI workloads. Build compute orchestration, platform services, onboarding sandboxes, and reliability/security tooling. Turn field learnings into reusable platform capabilities and partner with Product and Engineering to productize them.

Work onsite in New York with enterprise customers to design, prototype, and deploy production-grade AI systems using Tavily's API. Build RAG pipelines, agent workflows, integrations, and POCs; drive adoption, monitor usage, and translate customer needs into product and engineering roadmap inputs.

The Linux Systems Administrator will maintain and troubleshoot Linux systems, support network services, and work on systems integration while collaborating with infrastructure teams.

The Lead Systems HPC Engineer will optimize GPU clusters' performance, troubleshoot issues, integrate new hardware, and collaborate with teams on system-level software development.