Top Tech Jobs & Startup Jobs

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.

Join the Windows Cloud Experiences Sovereign SRE team to improve reliability, monitoring, and incident response for Windows 365/AVD. Participate in on-call rotations, troubleshoot and mitigate production issues, contribute automation and safe deployment processes, and work with product engineering to improve availability, security, and performance.

Lead development of pre-silicon and post-silicon verification for SoC/IP, create simulation environments and test plans for digital and analog components, manage repositories and bug tracking, coordinate cross-functional teams (DFT, analog, physical design), and drive verification methodology and automation including AI-assisted workflows and characterization for production release.

Lead and grow an engineering team building SDKs, UIs, and agentic developer experiences for Generative AI. Set technical/product direction, coach engineers, ensure production reliability, convert customer feedback into platform features, and drive AI-first engineering practices and incident readiness.

Lead end-to-end technical and product due diligence for acquisitions; direct large cross-functional teams; operationalize AI-first diligence; assess technical risk and business impact; develop integration/separation plans; ensure secure transfer and onboarding; produce executive-ready insights and playbooks to scale repeatable integration practices.

Lead research and engineering to design, evaluate, and deploy AI systems for Microsoft 365. Develop coordination frameworks, efficient code-generation techniques, fine-tuning/post-training methods, and real-world evaluation benchmarks. Collaborate with engineering and product teams to translate research into scalable, reliable, and responsible production features.

Lead design and analysis of large experiments and observational studies; select causal inference methods; develop and productionize ML and causal models; set experimentation best practices; influence metrics and measurement; mentor junior data scientists; present results to senior stakeholders.