Top Tech Jobs & Startup Jobs

Lead design and implementation of a scalable user identity graph and supporting pipelines. Collaborate with partner teams and applied scientists, build diagnostics, monitoring, security, and deployment frameworks, run experiments and on-call incident management, and drive code quality, testing, and operational readiness.

Lead product strategy and roadmap for Azure compute platform hardware. Drive cross-functional alignment, prioritize capacity and supply issues, define requirements with cloud business units, track success metrics, mitigate risks, and deliver scalable hardware platform launches that improve efficiency and margin.

Lead design and implementation of Copilot AI experiences and platform services across Windows, Mac, and mobile. Build secure, performant, distributed systems integrating models and agentic workflows, collaborate with cross-functional teams, ship well-tested maintainable code, and drive iterative product delivery.

Lead strategy and roadmap for support tooling, prioritize build-vs-buy decisions, embed AI/LLM capabilities responsibly (agent-assist, summarization, knowledge retrieval), drive adoption and telemetry, coordinate releases across engineering and support, and align stakeholders to improve agent productivity and CSAT.

Customer-embedded technical leader driving account outcomes by designing and delivering production-grade solutions. Translate business needs into technical approaches, lead cross-functional delivery, influence senior stakeholders, prepare handoffs to FDE crews, and operate with speed and accountability in ambiguous, customer-facing environments.

Lead design and delivery of a cloud-native, distributed platform for agentic generative AI applications. Define product vision, architect for scale, collaborate across SDK/experience teams, engage customers, and drive operational excellence and reliability for large-scale AI services.

Lead and embed a business-led compliance framework across ASEAN by designing monitoring and testing, assessing sales and third-party risks, enabling controls, delivering training, leveraging automation/AI for analysis, and supporting remediation and internal audit activities.

Lead performance modeling and analysis for AI inference across microarchitecture to system/software. Implement and extend simulators, run large-scale experiments, analyze latency/throughput/efficiency, and provide data-driven guidance to chip, system, and software architects to influence design decisions.