Top Tech Jobs & Startup Jobs

Define long-term Azure management architecture across node, rack, cluster and fleet levels. Drive standards-based solutions (BMCs, Rack-SCM, telemetry, firmware lifecycle, security, control-plane integration) and partner with hardware, firmware, software, datacenter ops and industry bodies to enable scalable, interoperable management for multi-vendor hyperscale and AI infrastructure.

Design and develop low-level platform software, firmware and Windows drivers to improve performance, power efficiency, reliability, telemetry, and diagnostics. Lead architecture, debug complex cross-stack issues, integrate logging/telemetry, apply root-cause analysis, mentor engineers, and responsibly use AI tools to improve development practices.

Design and implement high-performance Network-on-Chip IP for AI SoCs including microarchitecture specification, RTL development, synthesis/CDC/Lint closure, timing/power/PPA trade-offs, SOC integration, and collaboration with architecture, verification, and physical design teams.

Lead product management for the Purview data classification platform, driving scalability, performance, and accuracy. Define requirements from customer and market signals, guide development, manage launches, and track product performance and metrics.

Design and build highly scalable backend services and data pipelines for conversion tracking, attribution, reporting, and campaign optimization. Lead architecture, reliability, data quality, integrations, and consent-aware data handling. Mentor engineers, drive production readiness, testing, monitoring, and collaborate with product, data science, privacy, security, and bidding teams to deliver measurement platform capabilities.

Lead and execute multi-stage UX research programs for AI-powered monetization products. Conduct mixed-methods research (qualitative and quantitative), drive product strategy, collaborate across teams, influence senior stakeholders, elevate research craft, and ensure inclusive and accessible experiences with measurable product impact.

Lead strategy and execution to accelerate developer adoption of Microsoft AI platform capabilities. Own end-to-end developer success, identify and remove barriers, drive investments in integrations, SDKs, tooling, partnerships, and community engagement, define metrics for activation and retention, and align cross-functional teams to improve adoption and production deployment outcomes.

Lead US channel partner strategy to achieve CSP revenue goals by developing and executing solution plays, driving partner engagement, enablement, and GTM execution. Monitor program performance, remove barriers, escalate risks, recruit and expand partner opportunities, and collaborate with cross-functional teams to scale growth across Azure, Business Solutions, Security and AI.

Design, build, and operate large-scale backend services and data pipelines for Ads conversions and measurement. Ensure reliability, privacy-conscious processing, secure partner integrations, SLA-driven ingestion, monitoring, and incident response. Collaborate with product, data science, privacy, and security teams to deliver compliant, auditable measurement capabilities and improve conversion attribution, reporting, and optimization workflows.

Lead cross-organizational capacity management programs for Microsoft Entra: forecast demand, secure supply, track deployment readiness, mitigate risks, drive automation and process improvements, and partner with engineering, datacenter provisioning, finance, and automation teams to ensure efficient hyperscale infrastructure capacity worldwide.