Top Tech Jobs & Startup Jobs

Leads technical sales professionals serving SME customers, driving revenue, cloud adoption, pipeline growth, and complex solution sales. Builds customer and partner relationships, guides Azure, data, AI, security, and digital transformation strategies, and coaches teams on consultative selling and executive engagement. Responsibilities include talent development, forecasting, deal reviews, territory planning, cross-functional leadership, and promoting Microsoft AI solutions such as Azure OpenAI, Copilot, Azure AI Foundry, and agentic AI.

Drive enterprise sales and strategic account growth for cloud and AI solutions. Develop and execute account plans, build executive-level customer relationships, orchestrate virtual teams, identify business and transformation opportunities, and lead complex solution proposals through closing. Advise customers on digital transformation, position solutions against competitors, and coordinate internal specialists and partners to deliver business outcomes. The role also coaches solution sales teams and shares customer and industry insights across the organization.

Leads Site Reliability Engineering teams responsible for reliability, availability, incident response, disaster recovery, automation, telemetry, security, and compliance for Microsoft Substrate services in regulated environments. Establishes SLOs and SLIs, drives operational excellence, participates in on-call rotations, leads post-incident improvements, develops senior engineers, and influences cross-organizational engineering strategy.

Lead technical strategy and architecture for Microsoft Dataverse’s globally distributed, AI-enabled cloud services. Build and operate scalable microservices, resolve complex production issues, drive reliability and security, and deliver high-quality code. Provide cross-team technical leadership, mentor engineers, guide applied AI system development, and translate customer needs into multi-release platform investments.

Conduct data science research using machine learning, statistics, experiments, AI, and large-scale data to improve Microsoft products and services. Interns formulate analytical approaches, explore data, validate and monitor models, interpret results, collaborate with stakeholders, participate in peer review, and deliver actionable insights influencing customer and product outcomes.

Lead end-to-end data science for customer-embedded, production solutions: acquire and prepare messy datasets, develop and evaluate models tied to business outcomes, run experiments, deploy operational models at scale, coach cross-disciplinary teams, and drive strategy, ethics, and privacy discussions.

Owns, investigates, and resolves customer technical issues related to cybersecurity products or services. Responsibilities include troubleshooting, collaborating across teams, sharing technical knowledge, completing readiness training, identifying product defects, and escalating issues for resolution. The role requires Mandarin and English fluency, strong analytical and customer-service skills, schedule flexibility, and the ability to pass Microsoft Cloud security screening.

Leads Cloud and AI Platforms sales recommendation and marketing signal strategy. Translates business priorities, customer insights, and performance data into targeting frameworks, seller recommendations, experimentation programs, and scalable engagement strategies. Aligns Sales, Marketing, Analytics, Media, Forecasting, Performance, and Technology stakeholders, while influencing executives and driving measurable customer acquisition, pipeline, and seller effectiveness outcomes.

Drive technical sales and application modernization for mid-market customers using Azure application and data platforms. Lead architecture sessions, demonstrations, proofs of concept, migration assessments, and modernization workshops. Recommend application and database destinations based on cost, scalability, security, compliance, operations, and developer velocity. Design hybrid and cloud-native architectures, resolve technical blockers, collaborate with engineering and partners, and advise stakeholders on Azure services, containers, databases, networking, and enterprise modernization.

Lead procurement planning, supplier selection, negotiation, contracting, and contract administration for large-scale mission-critical data center construction projects across EMEA. Oversee supplier performance, notices, changes, claims, and corrective actions while coordinating commercial and contractual teams. Develop strategic sourcing approaches, reduce costs, improve processes, and partner with stakeholders and IT teams on analytics and system requirements.