Top Tech Jobs & Startup Jobs in Austin, TX

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.

Leads customer AI and cloud transformation by translating business priorities into secure, scalable solutions. Designs and validates cloud architectures, facilitates technical discussions, drives adoption and consumption, analyzes usage patterns, coordinates Microsoft, partner, and customer teams, removes implementation blockers, and tracks customer, project, and consumption data in CRM systems.