Top Tech Jobs & Startup Jobs in Austin, TX

Owns field awareness, activation, adoption, utilization, reporting, and continuous improvement for Azure investment and offer programs. Coordinates launches, enables sales stakeholders, resolves execution blockers, governs field content, tracks KPIs and business impact, and translates insights into recommended actions. Leads global office hours, business reviews, feedback loops, and cross-functional collaboration across sales, operations, partners, marketing, tooling, and program teams to accelerate customer adoption, pipeline, revenue, and renewals.

Leads enterprise Azure sales strategy, pre-sales engagements, forecasting, territory planning, and strategic account growth. Advises customers on cloud, data, analytics, AI, applications, and infrastructure transformations; develops business cases, technical strategies, proofs of concept, and deployment roadmaps. Coordinates Microsoft teams, partners, and solution engineers to close deals, drive Azure consumption, generate pipeline, and deliver customer value. Mentors colleagues, shares industry insights, supports partner strategies, and acts as a trusted technical advisor and customer advocate.

Drive technical sales for Azure cloud and AI infrastructure solutions. Lead architecture sessions, workshops, demos, proofs of concept, and migration or modernization initiatives. Design secure, scalable hybrid-cloud architectures for Windows, SQL, Linux, PostgreSQL, Oracle, and enterprise applications. Advise customers on networking, resiliency, compliance, containers, AKS, Azure Arc, SAP, VMware, and partner technologies while collaborating with engineering and business stakeholders.

Lead technical strategy with channel partners across ASEAN to build repeatable Microsoft Cloud and AI Workforce offerings (Copilot, Power Platform, Agents). Drive architecture design, workshops, POCs, offer development, partner enablement, and co-sell execution to convert technical capability into scalable revenue and customer outcomes.

Build and maintain large-scale infrastructure for multimodal generative AI, including data processing, model pretraining, post-training, inference, and serving frameworks. Collaborate with research scientists and product engineers to resolve infrastructure challenges, optimize distributed CPU/GPU workloads, influence software and hardware architecture, and accelerate AI product delivery. The role also involves multimodal data processing, distributed training and inference, model evaluation, reinforcement learning, quantization, and technical project leadership.

Design, implement, and ensure quality of systems stack, tools, and SDK integration for AI frameworks. Collaborate with hardware and ML teams, apply engineering principles, write low-level/high-performance code, define architecture, estimate scope, and drive coding standards.

Develops and scales Microsoft Fabric go-to-market strategy across Fabric IQ, Real-Time Intelligence, and Power BI. Designs partner sales programs, coaches global sales teams, creates sales plays and enablement content, translates technical capabilities into business solutions, advises strategic customers, and partners with engineering and product teams on roadmap priorities. Owns revenue accountability, adoption KPIs, customer insights, executive briefings, and thought leadership for Fabric's modern data platform.

Establishes and runs a continuous improvement operating rhythm for AI transformation engagements. The role uses adoption and operational signals to redesign workflows, refine prompts and agents, embed standard work, facilitate improvement events, retire low-value solutions, and direct investment toward high-ROI capabilities. It also transfers continuous improvement practices, tooling, and cadences to customer teams so gains remain durable after the engagement ends.

Lead technical strategy with channel partners across ASEAN to design, validate, and scale Microsoft Cloud and Data & AI solutions. Drive offer development, run workshops and POCs, enable specializations, and translate technical work into repeatable, revenue-generating partner services aligned to Microsoft Cloud and AI priorities.

Designs and delivers secure, scalable, resilient, and AI-ready data platform solutions on Microsoft Azure. Leads customer architecture sessions, proofs of concept, production deployments, technical enablement, and partner engagements using Microsoft Fabric, Azure Databricks, Cosmos DB, and Purview. Advises stakeholders on performance, security, compliance, cost optimization, and operational readiness while supporting cloud adoption, consumption growth, and data modernization initiatives.