Jobs at Microsoft

Lead go-to-market planning and execution for datacenter expansion in Australia/New Zealand. Build multi-year growth plans, drive pipeline and anchor tenant acquisition, align engineering and product features to customer needs, develop business cases, orchestrate cross-functional stakeholders, and support PR and marketing for datacenter launches.

Serves as the primary technical and customer support contact for complex Azure issues and projects. Troubleshoots mission-critical applications, conducts health checks and root-cause analysis, manages escalations, advises on Azure configurations and deployments, and communicates technical issues to varied audiences. Synthesizes customer feedback, identifies product and knowledge gaps, advocates for platform improvements, and partners with engineering, product, field, and support teams to improve reliability and customer experience.

Provides technical support for SharePoint, Microsoft 365, Office, Teams, OneDrive, Exchange Online, and Copilot. Responsibilities include investigating and resolving complex customer issues, troubleshooting identity, permissions, licensing, performance, and configuration problems, meeting support SLAs, documenting resolutions, escalating defects, and collaborating with engineering teams. The role also contributes to automation, readiness programs, mentoring, product improvements, and secure AI and Microsoft 365 configuration practices. Flexible evening and weekend shifts may be required.

Lead technical demonstrations, pilots, envisioning workshops, and proof-of-concept engagements for Microsoft Copilot, Copilot Studio, Agent 365, and AI agent solutions. Partner with customers, Customer Success, and partners to connect business priorities with Microsoft technologies, remove technical blockers, support deals, and drive adoption, usage, and value realization. The role requires strong technical pre-sales, cloud architecture, consultative selling, and Microsoft ecosystem expertise.

Drive Microsoft Copilot consumption, adoption, commercialization, and customer value realization across ANZ. Develop scalable go-to-market strategies, transformation playbooks, and adoption motions for Copilot experiences, agentic AI, and related platforms. Partner with sales, customer success, engineering, product, marketing, and ecosystem teams to expand production usage, increase consumption revenue, identify customer scenarios, influence product roadmaps, and advise business leaders on AI adoption and growth.

Conducts threat intelligence analysis for internal and customer-facing investigations. Supports attribution and actor modeling, analyzes adversary infrastructure and tactics, develops emerging threat clusters, and applies cloud, identity, endpoint, log, and network telemetry. Provides intelligence support to incident response teams, improves Microsoft products based on observed exploitation, briefs technical and executive stakeholders, and feeds investigation findings into threat actor tracking efforts.

Leads Microsoft Azure sales and account growth for mid-stage startups and ISVs. Builds executive relationships, develops joint business and account plans, identifies new opportunities, orchestrates cross-functional Microsoft and partner teams, and drives cloud adoption, revenue, consumption, and customer transformation outcomes. Requires consultative selling, technical cloud understanding, digital transformation expertise, pipeline management, strategic planning, and the ability to engage business and technical decision-makers.

Owns the full sales cycle for Azure and AI opportunities across digital-native customers. Builds pipeline, develops territory plans, engages executive and technical stakeholders, positions Microsoft cloud solutions, coordinates cross-functional teams, facilitates pilots and proofs of concept, delivers accurate forecasts, and drives Azure, AI, data, analytics, and cloud platform adoption.

Coordinate complex, customer-facing cybersecurity incidents and concurrent operational workstreams. Manage intake, staffing, escalations, stakeholder communications, status reporting, handoffs, risks, and delivery timelines. Translate technical findings into customer updates while coordinating evidence preservation, containment, and recovery dependencies. Improve incident procedures and workflows, collaborate across technical and business teams, and support globally distributed operations, including non-standard shifts.

Responsible for operating, designing, and maintaining large-scale mechanical infrastructure in Microsoft data centers. Acts as the technical authority for cooling and other critical systems, supports 24/7 operations, develops designs from concept through construction, coordinates maintenance and safety procedures, and oversees mechanical suppliers. The role also requires collaboration across IT, critical environments, operations, and design teams while maintaining safety, security, compliance, and service reliability.

Leads strategic enterprise sales conversations for Azure cloud and AI transformation across financial services customers. Owns complex opportunities spanning infrastructure, data, applications, AI, and developer platforms from discovery through commitment, deployment, adoption, and expansion. Builds executive relationships, business cases, pipelines, forecasts, and territory plans while coordinating solution engineers, customer success teams, Microsoft engineering, and partners.

Develop and maintain reliable, secure cloud software and ML infrastructure for Azure operations. Responsibilities include gathering requirements, contributing to architecture, coding, code review, testing, deployment, telemetry integration, data analysis, live-service operations, on-call support, automation, and security and compliance improvements. The role emphasizes AI-powered operational autonomy, extensibility, maintainability, and collaboration across Microsoft teams.

Lead technical sales engagements for enterprise financial services customers, designing secure, scalable Agentic AI and cloud-native application architectures on Azure. Conduct workshops, live demonstrations, whiteboarding, rapid prototypes, proofs of concept, and pilots. Advise technical and business stakeholders, resolve technical blockers, influence architecture decisions, and drive production-scale deployments using Microsoft AI services, agent development platforms, application modernization technologies, and cloud-native development practices.

Leads Microsoft’s Windows Cloud Customer Acceleration Team, managing Product Managers who drive enterprise customer adoption, collect customer feedback, influence engineering roadmaps, and improve product readiness and supportability. The role owns cross-functional programs, operating models, tooling, executive alignment, and customer outcomes while coaching and developing a high-performing team.

Develop and maintain large-scale Azure networking services, including IP address, metadata, configuration management, and authoritative network design systems. Diagnose network issues and performance bottlenecks, create practical technical solutions, collaborate with Microsoft teams and industry partners, and work with customers to improve networking experiences across Azure’s global data center infrastructure.

Leads a customer success team of cloud solution architects driving AI and cloud transformation with Microsoft technologies. Develops customer roadmaps, accelerates Copilot and Power Platform adoption, delivers measurable business value, manages executive relationships, resolves technical and business blockers, and improves retention and expansion. Oversees people managers, develops talent, shapes cloud and AI methodologies, and provides technical thought leadership on secure, resilient, AI-enabled architectures.

Provides technical presales and consulting support for Microsoft AI and cloud solutions. Engages customers and partners, leads technical discussions, develops account and consumption strategies, demonstrates architectures, oversees proofs of concept, and drives technical wins. Advises on security, compliance, migrations, integrations, and digital transformation while relaying competitive insights to product and engineering teams.

Implement and operate cloud and on-premises cybersecurity controls for datacenter infrastructure. Proactively identify, investigate, and mitigate security issues; install and maintain security hardware/software; create detections and incident response plans; recommend security policy improvements; collaborate with partner teams and participate in on-call rotation.

Leads technical sales and solution incubation for AI and application modernization opportunities. Partners with customers, sales teams, engineering, product groups, and partners to identify opportunities, build business cases, demonstrate solutions through architectures and proofs of concept, remove adoption barriers, and accelerate revenue. Acts as a trusted advisor to senior stakeholders, creates reusable sales and ROI assets, provides field enablement, and influences product roadmaps through customer and market insights.

Embedded Senior Data Scientist in a Forward Deployed Engineering team who builds, evaluates, and ships production-ready ML solutions. Works with messy real-world data, runs experiments tied to business outcomes, collaborates with engineers and product teams, and applies modern AI practices while maintaining security, quality, and customer focus.