Top Tech Jobs & Startup Jobs

Build and lead development of an agentic AI platform for developer productivity: design, implement, test, and ship features; use and advocate AI tooling; experiment with AI approaches; mentor engineers; ensure quality, scalability, and cross-team collaboration.

Build and own the Copilot CLI and shared agent runtime, designing and shipping reliable, high-performance terminal developer experiences and agentic AI systems. Use data and benchmarks to iterate, collaborate cross-functionally, and influence architecture and engineering standards.

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.

Lead finance process modernization using AI, automation, and analytics; drive cross-functional programs, design scalable customer-focused solutions, ensure financial and SOX-compliant governance, oversee billing/reconciliations, and deliver reporting and performance analytics to improve operational effectiveness.

Design, architect, and operate Dataverse services in air-gapped, hyperscale environments. Lead architecture, collaborate with partner teams for scalability and live-site readiness, drive automation for zero-touch deployments, use AI tools to improve engineering productivity, and act as DRI for monitoring, incidents, and postmortems.

Support execution of forward and reverse supply plans, analyze demand-supply gaps, run what-if scenarios, track supplier performance metrics, assist with staffing/capacity and BOM/change order reviews, and help refurbish or redeploy finished goods to improve service experience.

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.

Advise senior leadership on long-term company strategy through quantitative and qualitative analysis. Lead M&A and partnership evaluation, market sizing, competitive analysis, and business model assessment. Build financial models, frame strategic questions, produce executive communications, and collaborate with cross-functional partners to inform multi-billion-dollar decisions and drive strategic initiatives.

Develop, deploy, and own production-scale machine learning and generative models (LLMs/SLMs). Perform large-scale data analysis, feature engineering, experiment design, prompt engineering, and optimization. Work with petabyte-scale datasets, write production code, and communicate concise, actionable insights to senior leadership.