Top Tech Jobs & Startup Jobs in Austin, TX

Lead design and implementation of Azure full‑stack, scalable skilling platform features. Drive CI/CD, reliability, automation, and AI/LLM-enabled capabilities. Mentor engineers, enforce engineering best practices, coordinate cross-team dependencies, and improve test automation and observability for enterprise-scale services.

Design, build, test, deploy, and operate scalable, secure Azure networking software and automation tools. Act as DRI, monitor production, troubleshoot incidents, run root-cause analysis, and drive reliability, performance, and cost improvements. Collaborate with PMs and architects, participate in design/code reviews, mentor engineers, and champion security, privacy, and compliance.

Leads customer-facing cloud and AI data platform architecture on Microsoft Azure. Designs secure, scalable, resilient, and performance-optimized solutions; leads architecture sessions, proofs of concept, deployments, and modernization initiatives. Advises technical and business leaders, supports partners and sales teams, manages delivery risks, drives adoption and consumption, mentors colleagues, contributes to reusable frameworks and intellectual property, and influences product roadmaps through customer insights.

Leads customer-facing cloud architecture engagements across Azure AI, applications, infrastructure, and data workloads. Advises executives, designs secure and scalable solutions, guides implementation and operational excellence, resolves technical blockers, oversees strategic account delivery, and accelerates Azure adoption. The role also includes mentoring peers, contributing technical thought leadership, supporting proposals, maintaining cloud certifications, and helping enterprise customers adopt AI and modernize applications at scale.

Develop and execute Cloud and AI sales enablement strategies for corporate, SMB, and partner teams. Build learning paths, technical skilling programs, seller communities, and field connection mechanisms. Identify capability gaps, analyze KPIs and customer feedback, measure business impact, and use insights to improve sales motions, revenue growth, consumption, adoption, and renewal. Collaborate across sales, engineering, marketing, partner, and technical success organizations to scale enablement programs.

Leads AI innovation and transformation across North America Consumer while owning Microsoft’s retail labor strategy and execution across major U.S. and Canadian partners. Responsibilities include developing AI pilots, driving adoption, managing outsourced labor agencies, optimizing deployment and coverage, setting KPIs, analyzing performance, managing budgets and contracts, and partnering across Sales, Marketing, Finance, Analytics, and retail teams to improve customer experiences and business impact.

Lead infrastructure analytics for compute, storage, and networking: design scalable data pipelines, define core metrics, build dashboards and APIs, ensure data quality and governance, drive instrumentation fixes, and advise executives on capacity, utilization, and readiness.

Design and deliver distributed storage systems for AI and machine learning workloads at hyperscale. Lead architecture, development, testing, deployment, and innovations in scalability, performance, security, and efficiency. Collaborate with AI researchers and cloud infrastructure engineers, mentor engineers, and guide technical strategy for high-availability, durable, high-performance storage supporting training and inference.

Build and optimize inference systems and tools for generative AI models, collaborate with researchers to improve performance, profiling, debugging, and deploy large-scale distributed inference solutions.

Lead the vision, strategy, roadmap, and global execution of AI-powered learning and workforce skilling products. Manage and mentor product managers, collaborate with engineering, design, research, marketing, and customer teams, and drive products from customer insight through launch and scale. Build AI-native experiences, improve product adoption and metrics, foster inclusive team practices, and deliver measurable outcomes for millions of learners.