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As a Data Center Technician (DCT), you will stage, set up and perform hardware deployments. In addition, you will also perform troubleshooting and diagnostics on equipment, as well as perform hardware decommissions for simple changes and refreshes following Standard Operating Procedures. This opportunity will allow you to deepen your understanding of Data Center standard processes and procedures, develop mentoring skills while providing guidance to peers, familiarizing yourself with security and data management procedures, and accelerate your career growth in the process.

Responsibilities
Performs diagnostics and troubleshooting following standard procedures, quickly identifies the cause(s) of issues, and replaces faulty components with minimal customer and business disruption.
Performs post-execution quality checks and verifies that grounding, staging, labeling, and cabling are set up properly according to safety protocols, deployment standards, and planned Network Design Tasks (NDTs).
Decommissions hardware for simple changes and refreshes (e.g., memory upgrades, rebuilds) following standard procedures with minimal guidance.
Follows procedures to communicate, report, and escalate incidents to appropriate Microsoft data center operations management units, Technician Leads, and engineering specialists.
Assists and provides guidance to other technicians to complete challenging or complex tasks.
Completes required training aligned to the role and workload; observes more experienced technicians to gain hands-on experience and relevant on-the-job training.
Contributes to a positive and effective team environment by sharing information with others, contributing to regular team meetings, asking questions, and staying apprised of the status of others' work.
Has pride and a sense of accountability for the service quality, completeness, and resulting user experience; displays accountability and ownership of the data center facilities.
Embodies our culture and values.

Proactively acts as the voice of the customer/partner and internal communities leveraging relevant insights from feedback tools and systems. Proactively identifies and/or translates customer/partner problems into industry solutions. Drives self and guides other team members to focus on customer/partner experience through efficient delivery and ensuring a seamless and connected customer experience. Anticipates, identifies, escalates, and mitigates blockers using appropriate tools. Delivers solutions in line with company methodologies, ensuring proven practices and patterns are followed. Proactively identifies and anticipates new cross-solution opportunities for Consumption, Usage & Unified expansion at scale. Operates according to required operational excellence and proven practice standards throughout all sales stages/activities/tools of record. Leverages market insights and demand signals. Leads, mentors, and may assemble virtual teams using knowledge of our architectures and their context in the competitive landscape. Proactively identifies and anticipates gaps that enable solutions to scale across customers.

Responsibilities -

Business Impact,

Customer Centricity,

Partner Specialization,

Technical Leadership.

We are seeking a Senior AI Product Manager to lead the strategy and execution of enterprise-grade Edge AI solutions for our Adaptive Cloud and Azure Arc customers.

The ideal candidate is highly technical, hands-on, and comfortable engaging deeply with customers, including leading technical PoCs, requirements discovery, architectural discussions, and solution validation. You will bridge customer needs, engineering execution, and go-to-market strategy to ensure successful adoption of Edge AI solutions across industries such as manufacturing, retail, media, and IoT.

We are a global organization; this role involves close collaboration across time zones and regular direct engagement with enterprise customers and partners, both remotely and on-site.

Responsibilities

Product Strategy & Roadmap
Own the product vision and roadmap for enterprise Edge AI capabilities, with a strong emphasis on scalability, security, reliability, and operational excellence.
Identify B2B customer pain points through direct engagement and translate them into clear, actionable product requirements and priorities.
Balance customer-specific learning with building repeatable, platform-level capabilities.


Hands-On Execution & Delivery
Work closely with engineering to define, design, and deliver Edge AI features, from concept through production.
Act as the product owner for end-to-end customer scenarios, ensuring requirements are well understood and technically feasible.
Lead and support customer-facing technical PoCs, including defining success criteria, validating architectures, and incorporating learnings into the product roadmap.
Ensure solutions align with Responsible AI, security, privacy, and enterprise compliance standards.
Drive orchestration and lifecycle strategies for AI workloads in highly distributed, edge-based environments.


Enterprise Customer Engagement & Experience
Serve as a primary product point-of-contact for enterprise customers, engaging directly with technical and business stakeholders.
Lead requirements gathering, use-case definition, and solution discovery sessions with customers.
Partner with field teams to support pre-sales and post-sales product engagements, ensuring successful adoption and long-term customer value.
Capture customer feedback systematically and translate it into product improvements and roadmap adjustments.


Go-To-Market & Ecosystem Collaboration
Partner with sales, marketing, and business development to shape enterprise-ready positioning, messaging, and value propositions.
Support launch readiness, including pricing, packaging, and enablement for field and partner teams.
Work with strategic partners and customers to validate solutions and accelerate enterprise adoption.
Define and track success metrics across customer satisfaction, adoption, usage, and business impact.