Jobs at Microsoft

Lead Microsoft’s global Deal Desk function by structuring commercial deals, making decisions on customer terms, improving contract solutions and governance, ensuring compliance, and partnering with sales, legal, finance, and senior stakeholders. Build and develop a high-performing, inclusive team while driving strategic growth, profitability, process improvements, and balanced business outcomes.

Designs, develops, maintains, and safely releases highly scaled .NET services and client components across iOS, macOS, Linux, Windows, and web platforms. Collaborates across engineering teams to build customer-focused products serving millions of users, applies modern AI tools, and resolves urgent customer issues. The role requires coding expertise, technical collaboration, and completion of Microsoft Cloud background screening.

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.

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.

Leads Microsoft sales teams and go-to-market strategies to drive revenue, cloud consumption, customer value, and AI transformation. Builds executive and partner relationships, develops market and account plans, coaches teams, manages performance, and ensures secure, compliant sales execution. The role also oversees pipeline growth, strategic partnerships, customer satisfaction, talent development, and cross-functional alignment across Microsoft business segments.

Build and ship AI-first growth experiments and scalable systems to drive acquisition, activation, engagement, and retention. Design and evolve A/B testing frameworks, instrumentation, metrics, and tooling; partner with Product, Data Science, Design, and Research to iterate quickly and scale successful patterns across global, high-traffic AI products.

Lead the design and development of Microsoft’s global-scale, Kubernetes-based cloud service platform. Provide technical leadership across teams, define requirements and architecture, mentor engineers, oversee project and release plans, and serve as a responsible on-call owner. Improve platform availability, reliability, security, observability, efficiency, and performance while standardizing service delivery across Microsoft cloud workloads.

Develop AI evaluation metrics, experimentation methodologies, scalable data pipelines, dashboards, and analytical tools for Microsoft 365 Copilot. Apply statistical analysis, machine learning, and data mining to large-scale datasets, investigate quality regressions, and recommend measurable improvements. Collaborate with engineering, research, and product teams to improve AI quality, usability, responsible measurement, and production outcomes. Communicate technical findings to technical and business stakeholders.

Lead and coach a cross-discipline engineering team (software, TPM, data science) to deliver production-ready AI-enabled solutions. Own portfolio delivery, model engineering excellence as a player‑coach, partner with leaders for operational health, and champion reusable patterns, responsible AI, and hypervelocity engineering.

Leads Microsoft Advertising’s Sales Compensation Solutions team and owns compensation plan design, segmentation, sales planning, quota and payout execution, governance, and role excellence. Advises senior leaders on sales investments and strategy, builds high-performing teams, aligns cross-functional partners, and advances AI-enabled sales planning operations, automation, and process simplification.

Lead a cross-discipline engineering team to deliver production-ready, AI-enabled solutions across the full lifecycle. Coach engineers and data scientists, manage a portfolio of engagements, act as player‑coach on select projects, strengthen multidisciplinary practices, and champion responsible, hypervelocity AI engineering and reusable accelerators.

Lead a multidisciplinary engineering and data science team in a forward-deployed model to deliver production-ready, AI-powered solutions. Own portfolio delivery, coach and develop talent, act as player‑coach on engagements, drive engineering excellence and responsible AI practices, and partner with leaders to ensure operational health and reusable accelerators.

Leads strategic user experience research and customer co-creation workshops focused on large-scale digital and AI-powered experiences. The role designs qualitative and quantitative studies, facilitates interviews and surveys, develops foundational research strategies, manages executive stakeholders, and communicates insights through persuasive storytelling. It partners across Microsoft to define customer moments of truth, shape product direction and experience design, and deliver customer-centric solutions for enterprise clients.

Design, build, test, and operate production-grade, secure, and scalable software and services. Partner with customers to translate requirements into technical designs, drive engineering best practices (CI/CD, testing, observability), deliver end-to-end solutions, lead technical workstreams, and apply AI/LLM approaches where appropriate to produce production-ready outcomes.

Develop machine learning techniques focused on AI safety, alignment, and trustworthiness. Collaborate with product, research, and engineering teams to design, build, deploy, monitor, and iterate responsible AI systems at scale, from experimentation to production for large language models and distributed AI services.

Design, train, and evaluate Responsible AI components: fine-tune LLMs (including RLHF), build adversarial agent evaluations and safety mitigations, collaborate with engineering to deploy mitigations at scale, monitor operational performance, and troubleshoot end-to-end issues.

Embed with strategic customers to lead end-to-end technical programs, applying AI-assisted engineering to accelerate delivery. Coordinate cross-functional teams, make data-driven decisions, manage risks, and cultivate reusable solution patterns and playbooks to scale impact.

Embed with strategic customers to lead end-to-end technical programs, aligning business needs with engineering across AI, cloud, and data. Use AI-assisted engineering, engineering tooling, and cross-disciplinary teams to deliver measurable outcomes, scale reusable patterns, and manage risk in ambiguous environments.

Serve as a trusted commercial advisor to design and negotiate customer-centric licensing and contracting solutions. Lead cross-functional sales teams to drive revenue, structure complex deals, manage risk and compliance, leverage AI and analytics to identify growth opportunities, and ensure adherence to policies and legal/regulatory requirements while coaching and enabling sellers.

Lead end-to-end segmentation strategy for Microsoft Advertising, translating business priorities into coverage, capacity, and resource-allocation models. Build measurement frameworks, analytical models, and cross-functional alignment to operationalize segmentation into territory design, quota and capacity planning. Advise senior leaders and continuously refine models using data-driven insights to drive growth.