Top Tech Jobs & Startup Jobs in Austin, TX

Lead product strategy, roadmap, and delivery for AI-native security experiences. Partner with engineering, security research, design, and data science teams to translate emerging technologies into customer value. Establish operational readiness practices covering release governance, risk management, quality reviews, incident learning, executive readiness, onboarding, adoption, and partner success. Drive complex cross-organizational programs and ensure scalable, reliable launches and measurable customer outcomes.

Leads architecture and hands-on development for AI frameworks, performance systems, benchmarking, and developer tools. Investigates issues across models, compilers, runtimes, services, and accelerator hardware; improves model onboarding, runtime performance, reliability, hardware utilization, and Azure efficiency. Establishes scalable measurement and observability capabilities, influences cross-team technical strategy, delivers production solutions, and mentors engineers while advancing engineering quality and maintainability.

Drive enterprise cybersecurity sales by identifying customer needs, building stakeholder relationships, developing solution strategies, and closing security opportunities. Manage technical, business, and partner resources to deliver customer value. Serve as a security subject matter expert, communicate Microsoft Cloud, AI, automation, compliance, identity, and Zero Trust capabilities, conduct forecasting and competitive analysis, and support account planning and digital transformation initiatives.

Lead cross-functional initiatives for Azure Capacity Management by improving operational processes, automation, reporting, governance, and decision-making. Partner with Engineering, Finance, Product, and Business Operations to address ambiguous business needs, coordinate strategic programs, reduce manual effort, and develop scalable operating mechanisms that improve execution and organizational effectiveness.

Leads cross-functional technical programs for Azure’s hardware fleet lifecycle. Develops strategy, platforms, tools, and processes; coordinates engineering, hardware, supply chain, operations, and security teams; manages roadmaps, governance, risks, metrics, and release alignment; and promotes generative AI capabilities to improve planning, engineering efficiency, reliability, and time to market. The role also coaches program managers and secures executive support for company-wide initiatives.

Drive technical sales and solution adoption through demonstrations, proofs of concept, hackathons, and architecture workshops. Partner with enterprise platform and engineering teams to design secure, scalable solutions using Microsoft Azure, Dynamics 365, Power Platform, and AI capabilities. Resolve technical blockers, influence solution architecture, support production deployments, build customer relationships, and represent Microsoft through technical thought leadership.

Leads and develops a team of Azure Solution Engineers serving public-sector customers. Coaches technical discovery, architecture design, demonstrations, workshops, prototypes, proofs of concept, and customer technical engagements. Drives Azure and AI growth, sales execution, pipeline progression, forecasting, CRM hygiene, executive relationships, and partner collaboration. Ensures secure, scalable solutions and effective transitions to deployment, adoption, and customer success.

Provides technical leadership for AI framework and model-serving initiatives at cloud scale. Owns architecture, roadmaps, performance optimization, benchmarking, observability, and multi-release execution across models, compilers, runtimes, services, GPUs, and silicon. Leads cross-team alignment, makes architectural decisions, mentors engineers, performs hands-on implementation and debugging, and drives measurable improvements in model onboarding, runtime performance, reliability, hardware utilization, and Azure capacity efficiency.

Designs and operates controlled cyber-capability evaluations for frontier AI models and agentic systems. Builds vulnerable applications, cyber ranges, exploit-development targets, and evaluation harnesses; runs experiments; collects telemetry; analyzes model behavior and evaluation artifacts; and documents security findings. The role also develops sandboxing, containment, access, and secrets-management controls while collaborating with red-team operators, researchers, engineers, and Responsible AI stakeholders.

Customer-facing Cloud Solution Architect driving AI transformation with Copilot Chat, Agents, and M365 Copilot. Advise customers, design architectures, enable adoption and ROI, perform prompt engineering and agent building, partner with sales and technical teams, and create/reuse IP to accelerate AI adoption and sustained customer success.