Top Tech Jobs & Startup Jobs

Provides technical pre-sales and consulting support for Microsoft’s GitHub, Visual Studio, Azure AI, and cloud developer platforms. Leads demos, proofs of concept, hackathons, code-with sessions, and architecture workshops for enterprise development teams. Advises customers on secure, scalable cloud-native architectures, DevOps, CI/CD, and AI-assisted software development; resolves technical objections; collaborates with engineering; and promotes Microsoft solutions through customer and developer communities.

Design scalable readout circuitry for topological qubits across component, subsystem, and system levels. Collaborate with multidisciplinary teams to codesign readout systems with qubit and control designs, analyze and present simulation results, develop engineering tools and processes, and support quantum hardware research while following safety and compliance standards.

Leads technical pre-sales engagements for Microsoft AI workforce solutions, including Microsoft 365 Copilot, Copilot Chat, Copilot Studio, and agents. Delivers demos, pilots, architecture designs, and envisioning sessions; removes technical blockers; supports pipeline generation, upselling, partner co-selling, competitive wins, and customer adoption. Maintains opportunity documentation and close plans while collaborating with sales, engineering, customer success, and partners.

Lead product security initiatives for cloud, AI, and enterprise platforms. Responsibilities include threat modeling, security architecture reviews, identifying systemic weaknesses, developing secure-by-design guidance and reference architectures, advising engineering and product leaders, leveraging AI and automation for scalable security assessments, investigating emerging attack paths, mentoring teams, and improving security review methodologies and tooling.

Design, develop, operate, and modernize reliable, scalable, secure backend cloud services supporting Microsoft 365 message delivery. Responsibilities include architecture, feature development, performance optimization, monitoring, incident resolution, production operations, engineering automation, testing, and use of AI-assisted development tools. Collaborate with engineering and partner teams to deliver end-to-end distributed systems solutions.

Owns consultative sales for Microsoft AI adoption, cloud transformation, consulting, and support services. Responsibilities include identifying and closing strategic opportunities, managing renewals, negotiating contracts, forecasting sales, orchestrating account teams, developing account plans, engaging executives, and mitigating customer and deal risks. The role partners with account executives, solution specialists, customer success managers, partners, and delivery teams to drive services growth and customer value.

Lead design and delivery of scalable, reliable backend services for Azure infrastructure. Own distributed-system design, implementation, testing, and operations. Drive incident response, on-call rotations, observability, automation, code reviews, and mentor engineers to improve reliability and operational excellence.

Lead design and implementation of end-to-end evaluation platforms for agentic security workflows: build benchmarks, deterministic validators, graders, telemetry, CI/CD integration, and production feedback loops to measure safety, correctness, cost, latency, and human-review effort. Partner with engineering and product teams to detect regressions, compare configurations, and provide release-readiness evidence and reusable playbooks.

Drive enterprise sales growth for Microsoft Modern Work and AI Workforce solutions. Generate pipeline, engage business decision-makers, identify customer needs, articulate business value, develop tailored solutions, and close opportunities. Collaborate with technical specialists, partners, and consultants to execute account plans, cross-sell and up-sell, forecast, analyze business opportunities, and exceed sales targets. Serve as a subject matter expert on Modern Work, Microsoft 365, generative AI, security, compliance, collaboration, and productivity solutions.

Design and build large-scale, highly available Responsible AI cloud services. Lead architecture, development, release, and production readiness. Collaborate with engineers, scientists, and product managers to integrate Responsible AI features across Azure AI and related services, drive DevOps practices, and improve performance, observability, and reliability.