Top Tech Jobs & Startup Jobs in Austin, TX

Lead design and build of production-ready cloud and AI systems, prioritize security and reliability, ship solutions quickly using modern engineering practices, collaborate with cross-functional teams, mentor engineers, drive customer adoption, and deliver reusable assets and end-to-end complex deliveries.

Lead the architecture, technical strategy, and roadmap for Microsoft's Windows ML compiler stack. Design high-performance compiler infrastructure, execution engines, optimization frameworks, and developer tools supporting CPU, GPU, and NPU workloads. Drive NPU enablement, graph optimization, scheduling, memory management, code generation, and hardware abstraction. Partner with silicon vendors and internal teams, influence AI hardware and platform strategy, lead cross-team initiatives, and mentor engineers developing on-device and generative AI capabilities.

Lead strategic customer engagements and complex sales for Windows 365 and Azure Virtual Desktop. Build ROI-based business cases, develop use cases and competitive strategies, lead pitches, proof-of-concepts, and technical workshops, and close technical and business objectives. Expand partner capabilities, provide field enablement, and share market insights with engineering, go-to-market, and marketing teams.

Leads complex datacenter network infrastructure deployments across engineering, operations, vendors, and business stakeholders. Defines technical solutions, success criteria, risks, schedules, staging plans, implementation plans, metrics, and governance reporting. Manages roadmaps, field engagements, customer support, stakeholder expectations, budgets, contracts, and continuous-improvement initiatives while ensuring secure, reliable infrastructure delivery.

Leads complex network infrastructure and bare-metal deployment programs across datacenter environments. Partners with engineering and operations teams to design field-deployable solutions, manage roadmaps, schedules, budgets, contracts, risks, governance, stakeholder relationships, and performance metrics. Coordinates cross-functional teams and vendors, drives field deployments, supports high-security networks, and improves processes and execution.

Leads complex Unified Support and Enhanced Solutions sales across strategic enterprise accounts. Orchestrates global virtual teams, shapes proposals, supports account planning, engages executive stakeholders, removes deployment barriers, and drives customer and partner satisfaction. Provides field feedback to improve offerings and sales motions while acting as a trusted advisor to customers and internal leadership.

Owns Microsoft’s Americas Telco partner strategy, sales performance, forecasting, and operating model across the United States, Canada, and Latin America. Drives partner growth in Microsoft AI, Azure, Microsoft 365 Copilot, Teams Phone, and Operator Connect. Builds executive relationships with Telco partners, aligns Microsoft field organizations, leads co-sell motions, governs KPIs and business reviews, and expands partner technical capabilities, investments, and cloud consumption.

Leads AI-first operating model transformation across cross-functional teams. Defines future-state workflows, requirements, and roadmaps; develops evidence-based strategies; manages agile workstreams; advises business, technology, HR, and Finance stakeholders; embeds change management; conducts experiments; and presents recommendations to senior executives. The role focuses on reimagining work, scaling effective AI-enabled operating models, and advancing organizational adoption of AI-first practices.

Lead consultative, value-driven enterprise sales to plan, orchestrate, and deliver AI Workforce solutions (Copilot, Windows 365, Viva, Agents). Build stakeholder strategies, drive pipeline, cross-sell/up-sell, and partner with internal teams to scale AI adoption and measurable business outcomes.

Leads the technical vision, architecture, and execution of AI performance, framework, benchmarking, and developer-productivity initiatives. Drives cross-team architecture, resolves complex systems trade-offs, mentors technical leaders, and contributes hands-on through prototyping, implementation, reviews, debugging, observability, and automation. Delivers measurable improvements in model onboarding speed, runtime performance, reliability, hardware utilization, and Azure capacity efficiency across models, frameworks, compilers, runtimes, systems, services, and hardware.