Top Tech Jobs & Startup Jobs

Lead technical escalation and crisis response for strategic customers, orchestrating cross-functional vTeams to resolve complex cloud, identity, and M365 issues. Manage incident lifecycle, executive communications, action plans, and post-incident reviews to restore customer trust and drive proactive support improvements.

Lead AI transformation engagements by discovering customer needs, designing scalable secure AI architectures, delivering workshops and prototypes, and coordinating cross-functional teams to implement Microsoft Fabric/Azure-based solutions.

Architect and evolve a scalable agent runtime for multi-agent collaboration, extensibility, and long-running/async workflows. Design orchestration, protocol and plugin models, ensure stability, performance, and security, and drive platform roadmap and cross-team technical strategy.

Customer-embedded principal engineer who designs, builds, and ships production-grade solutions, translates business needs into technical approaches, influences senior stakeholders, and transitions work to FDE teams to deliver measurable outcomes.

Design, implement, and ensure quality of systems stack, tools, and SDK integration for AI frameworks. Collaborate with hardware and ML teams, apply engineering principles, write low-level/high-performance code, define architecture, estimate scope, and drive coding standards.

Develops and scales Microsoft Fabric go-to-market strategy across Fabric IQ, Real-Time Intelligence, and Power BI. Designs partner sales programs, coaches global sales teams, creates sales plays and enablement content, translates technical capabilities into business solutions, advises strategic customers, and partners with engineering and product teams on roadmap priorities. Owns revenue accountability, adoption KPIs, customer insights, executive briefings, and thought leadership for Fabric's modern data platform.

Lead and grow a software engineering team to design, build, and operate highly available, low-latency Responsible AI and AI service infrastructure. Drive architecture and code reviews, DevOps culture, cross-team program delivery, production readiness, and service KPIs while collaborating with engineers, scientists, and product managers.

Lead strategic cloud and AI platform sales conversations with senior customer stakeholders. Shape multi-workload opportunities across infrastructure, data, applications, AI and developer platforms; build business cases, define success criteria, coordinate Microsoft and partner resources, drive pipeline and forecast accuracy, and support adoption and expansion into production.

Design and build scalable AI-first experimentation and growth systems: telemetry, experiment assignment, feature flighting, rollout automation, and risk controls. Lead cross-team initiatives, partner with Product/Data Science/Design, write production code, review implementations, and raise engineering and experimentation quality across products.

Lead analog-layout execution for quantum ASICs: produce schematic-to-GDS layouts across process nodes (including FinFET), establish flows and methodologies, coordinate team members, contingent staff, and vendors, and support project planning, schedule tracking, and delivery of high-performance, low-power analog IP.