Jobs at Microsoft

Leads UX engineering across design and engineering teams, translating research and product concepts into functional prototypes, reusable design systems, front-end solutions, and production-ready code. Drives accessibility, performance, security, and design consistency while influencing product direction, mentoring team members, guiding technical strategy, and collaborating on AI-powered experiences. Owns complex product outcomes, oversees design and code reviews, integrates secure-by-design practices, and supports backlog prioritization and end-to-end product delivery.

Lead large cross-group technical programs modernizing revenue recognition, billing, and financial orchestration at Azure scale. Define milestones, manage dependencies and risks, shape technical solutions with engineers and architects, translate finance requirements into build-ready specifications, and prototype with AI to validate designs. Drive disciplined execution, make trade-offs explicit, and partner with senior finance, business, and compliance stakeholders.

Owns complex Microsoft CSP partner escalations involving commerce, licensing, provisioning, identity, and Partner Center issues. Investigates root causes, coordinates resolution across engineering, operations, support, and business teams, and communicates technical and business impact. Leads readiness programs, coaches peers, improves supportability, and helps develop automation and diagnostic tools. Requires strong troubleshooting, stakeholder influence, communication, and experience in technical support, consulting, or IT.

Leads complex commercial sales and negotiation strategies for strategic customer accounts. Develops customer-centric offers, pricing scenarios, contract structures, and close plans to drive revenue, cloud adoption, renewals, and growth. Advises internal and external stakeholders, coordinates account and partner teams, assesses deal, legal, profitability, and compliance risks, and ensures adherence to commercial policies and regulatory requirements. Coaches sales teams and uses AI-enabled tools and sales metrics to improve pipeline conversion and deal outcomes.

Set vision and standards for experimentation, causal inference, and ML; lead high-stakes causal analyses; architect scalable modeling and experimentation frameworks; advise executives; mentor senior data scientists; champion reproducibility and data storytelling; evaluate LLMs and AI agents.

Develop and grow Microsoft's technology partner ecosystem across the Americas and LATAM. Build executive relationships, negotiate agreements, manage sales pipelines and opportunities, drive partner adoption of Microsoft Cloud solutions, secure investments, and collaborate with internal sales and specialist teams. The role requires consultative selling, strategic planning, analytical problem-solving, technical communication, and knowledge of Microsoft products.

Serves as the primary engineering contact for strategic Azure customers, resolving critical and complex cloud incidents, troubleshooting enterprise applications and infrastructure, conducting root-cause analysis, and providing proactive architecture and deployment guidance. Partners with support, engineering, product, and customer success teams to mitigate incidents, drive corrective actions, communicate with customers, and relay product feedback to Azure engineering groups.

Drive Databricks adoption on Azure by leading architecture reviews, proofs of concept, and production deployments. Advise customers and partners on data, analytics, and AI architectures; resolve technical blockers; promote security, governance, reliability, and operational excellence; create reference architectures and reusable IP; and collaborate across sales, engineering, and partner teams to accelerate cloud consumption and measurable customer outcomes.

Supports Azure customers by tracking and resolving incidents, troubleshooting technical issues, conducting root cause analysis, performing health checks, and communicating progress. Partners with support, engineering, product, and customer success teams to unblock issues and improve customer experience. Gathers customer feedback, identifies product gaps, supports automation, and develops Azure technical skills.

Leads regional general contractor, commissioning, architecture/engineering, and service contracts for large-scale datacenter construction. Responsibilities include contract execution, negotiation, compliance, risk mitigation, supplier coordination, budgets, change orders, reporting, scheduling, documentation, and stakeholder communication. The role partners with legal, procurement, engineering, construction, and project teams while managing contractor performance and executive sponsor meetings across North Carolina projects.

Serve as a trusted technical advisor to C-suite and senior leaders at a Tier 1 retailer, driving Azure and Microsoft AI adoption, consumption, and workload modernization. Develop executive engagement strategies, identify AI business scenarios, shape data foundations and governance, orchestrate cross-functional Microsoft teams, and influence product and investment decisions to deliver measurable business value and accelerate customer outcomes and Microsoft revenue growth.

Serve as the primary engineering advocate for strategic enterprise security customers: lead technical escalations and incident response, drive customer health and service-improvement plans, analyze telemetry and support trends, influence product engineering with customer advocacy, mentor peers, and scale practices to improve resilience and operational readiness across Microsoft Security solutions.

Lead design and analysis of large experiments and observational studies; select causal inference methods; develop and productionize ML and causal models; set experimentation best practices; influence metrics and measurement; mentor junior data scientists; present results to senior stakeholders.

Manage procurement and material management for multiple datacenter construction projects: run RFI/RFP processes, negotiate contracts and change orders, oversee supplier performance and compliance, collaborate with cross-functional stakeholders, and ensure SLA-driven deliverables.

Lead planning, coordination, and delivery of technical infrastructure integration for data center construction projects. Manage scope, schedules, risks, budgets, procurement, vendor performance, commissioning, and facility readiness while aligning stakeholders across engineering, construction, and operations. Drive continuous improvement, safety, and operational turnover to prepare facilities for production.

Serve as the primary post-sales delivery lead for strategic enterprise customers: orchestrate Microsoft and partner resources, develop customer success plans, track adoption and consumption, run program reviews, prioritize engagements, drive usage and retention, and align cloud solutions to customer business outcomes.

Provide on-site commercial management for metro data center construction projects. Manage GC commercial issues, estimates, GMP, pay applications, change orders, procurements, disputes, vendor invoices and final accounts. Oversee QS firms, produce cost reports, support funding/performance reviews, design team value engineering, site selection estimates, and develop/implement regional commercial processes and playbook.

Lead strategy and roadmap for support tooling, prioritize build-vs-buy decisions, embed AI/LLM capabilities responsibly (agent-assist, summarization, knowledge retrieval), drive adoption and telemetry, coordinate releases across engineering and support, and align stakeholders to improve agent productivity and CSAT.

Design and lead end-to-end enterprise data and GenAI architectures, drive cloud migration/modernization, define GenAI/Copilot/agentic patterns (RAG, embeddings, vector search), establish MLOps/LLMOps and governance, ensure Responsible AI and security, and act as trusted technical advisor across presales through production.

Drive technical sales and customer adoption of Microsoft’s cloud database and analytics platforms through architecture sessions, demonstrations, proofs of concept, hackathons, and prototypes. Design secure, scalable data solutions, support migrations and modernization, resolve technical blockers, and collaborate with engineering teams. Advise business and technical decision makers on Azure databases, Fabric, Databricks, Power BI, governance, AI, and machine learning while representing Microsoft through customer forums and thought leadership.