Top Tech Jobs & Startup Jobs

Own the full sales engagement cycle for AI-powered business process solutions, including opportunity identification, account planning, executive relationship development, solution demonstrations, value propositions, pipeline creation, contract renewals, and customer success planning. Partner with account executives, engineers, marketing teams, and channel partners to drive adoption of Dynamics 365, Power Platform, and Copilot, achieve revenue targets, and advise customers on business transformation.

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 the design, development, testing, debugging, and operation of scalable distributed systems for Fabric data mirroring. Responsibilities include architecture, coding, code reviews, dependency management, telemetry and root-cause analysis, automated testing, reliability, security, performance optimization, and collaboration with technical and project stakeholders.

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.

Lead end-to-end technical programs for Microsoft’s U.S. Sovereign and Air-Gapped Clouds. Translate government customer demand into infrastructure and capacity requirements, coordinate engineering, infrastructure, finance, compliance, operations, and field stakeholders, and manage integrated schedules, dependencies, milestones, risks, and decisions. Adapt plans to changing priorities and technical constraints while driving secure, predictable capacity delivery and providing executive visibility.

Designs enterprise-scale data and cloud architectures that translate customer business requirements into technology solutions. Leads requirements gathering, architecture documentation, governance, design, deployment, and value realization for complex projects. Advises customers and internal teams on cloud migrations, data warehouses, analytics, machine learning, data integration, security, and optimization. The role also contributes to reusable intellectual property, technical sales, project delivery, and multidisciplinary team leadership.

Designs and improves reliable, scalable distributed systems across Azure services. Partners with product teams, develops maintainable code, establishes engineering standards, enhances architecture and operability, and leads reliability, testing, static analysis, incident response, and on-call activities. Mentors engineers and applies technical expertise to resolve major incidents and deliver reusable platform improvements.

Drive strategic growth with distribution partners to scale SME&C cloud adoption and CSP revenue. Create partner business plans, own sales pipeline (convert 40%+ inbound leads), run monthly/quarterly reviews, enable partner skilling and certifications, and align distributor leadership with Microsoft priorities to accelerate AI, Cloud, and Security solutions.

Improve the performance, scalability, architecture, reliability, and responsiveness of Office web applications. Lead cross-team technical initiatives, use telemetry and profiling to resolve issues, apply agentic AI to development and modernization, mentor engineers, establish quality practices, and support production systems through on-call participation.