Jobs at Microsoft

Lead technology strategy for Financial Services accounts in India, partnering with C-level stakeholders to align business priorities with Microsoft AI, Copilot, Security, Cloud, and Data solutions. Drive strategic account planning, identify transformation opportunities, influence cross-functional execution, and act as a trusted advisor to deliver measurable business outcomes.

Lead a consulting virtual account team to drive consultative selling of Microsoft Cloud and Industry Cloud solutions. Own full sales cycle, increase Unified penetration, sell mission-critical and security services, drive cloud consumption, collaborate cross-functionally with partners and internal teams, and achieve quarterly and annual sales targets.

Lead technology strategy for a major financial services customer, align business priorities with Microsoft AI, Copilot, Security, Cloud, and Data solutions, engage C-level stakeholders, identify transformation opportunities, and drive cross-functional account planning and execution to deliver measurable business outcomes.

Lead post-sales delivery and adoption for strategic enterprise customers. Drive consumption, usage tracking, program planning, stakeholder engagement, and align Microsoft cloud services to customer outcomes. Orchestrate resources across Microsoft and partners to de-risk and accelerate cloud projects and retention.

Customer-facing Cloud Solution Architect who designs and delivers secure, scalable Azure infrastructure and migration/modernization solutions. Drive end-to-end technical delivery, use CAF/WAF frameworks, ensure environments are production-ready for AI, contribute repeatable IP, resolve blockers, and accelerate adoption of Azure services across infrastructure, databases, SAP, and hybrid environments.

Lead commercial deal-making and negotiation for enterprise accounts, driving compliant, profitable contracting and renewals. Advise on pricing, concessions, and AI transformation (Copilot), collaborate across account teams, and ensure on-time deal execution and quota/consumption targets.

Lead a regional sales organization for SME&C across India and South Asia, owning revenue and growth targets. Set regional sales strategy, drive pipeline discipline and forecasting, develop managers and succession, orchestrate partner ecosystems, and influence senior stakeholders to accelerate customer digital transformation using Microsoft Cloud, Azure, AI and Business Applications.

Lead enterprise customer partnerships by building cross-organizational plans, advising C-level stakeholders, orchestrating virtual selling teams, driving revenue and cloud consumption targets, and delivering technical and industry-led solutions to accelerate digital transformation.

Serve as a customer-focused cloud solution architect for AI-enabled Microsoft platforms. Translate customer needs into scalable Azure architectures, drive adoption, mitigate risks, guide partners, deliver proof-of-value, mentor teams, and shape product and partner strategies to increase consumption and business outcomes.

Lead go-to-market planning and execution for datacenter expansion across Asia. Build multi-year growth plans, coordinate sales, marketing, engineering and operations, drive pipeline and anchor tenant engagement, develop business cases, elevate feature requirements to engineering, secure corporate support, and monitor execution and PR strategy.

Design, implement, and deliver security firmware for Azure server and rack infrastructure. Lead architecture, driver/bring-up, and secure firmware features; perform system-level debugging; incorporate SDL and test-driven practices; collaborate with cross-functional teams and partners to meet cloud security and production requirements.

Lead STA execution for DPU ASICs from early design to signoff. Develop and maintain STA methodology, perform timing planning and analysis, drive closure and ECO flows, coordinate cross-team timing resolution, and ensure successful tapeout signoff.

Lead full-chip and package integration for DPU ASICs from early planning through tapeout signoff. Drive die/floorplanning, C4/microbump and RDL optimization, power domain management, vendor collaboration, integration milestones, and resolve power/integration issues across teams.

Senior Data & AI consultant responsible for designing, developing, and delivering cloud data and AI solutions on Microsoft platforms. Lead data engineering, platform modernization, ML readiness, MLOps, and Azure-based deployments while collaborating with customers and teams to drive adoption and technical excellence.

Lead and coach a software engineering team to design, build, and operate secure, reliable, scalable AI-native software. Own architecture, code quality, testing, CI/CD, telemetry, incident response, cross-team dependencies, and Responsible AI practices while driving people development and delivery.

Own revenue growth for a portfolio of licensing and solution partners. Build C-suite relationships, create and execute Partner Business Plans, lead cross-functional PODs, drive renewals, co-sell, AI/Copilot and security motions, and run disciplined sales rhythms (MBR/QBR, pipeline, MCEM) to meet quarterly targets.

Manage enterprise accounts to drive renewals, adoption, upsell/cross-sell and customer satisfaction. Develop strategic account plans, orchestrate cross-functional teams and partners, lead negotiations, and act as trusted advisor to achieve revenue and consumption targets.

Manage and coach a team of datacenter trainers to design and deliver technical workforce training, assess learning needs, close operational training gaps, partner with site managers, and align training with availability, safety, and throughput goals across global datacenters.

PhD intern will research and prototype AI techniques for Azure SQL Database, analyze algorithms on large datasets, build scalable ML systems, collaborate with researchers and product teams, and contribute to technology transfer and publications.

Work on real-world data science projects using machine learning, statistics, experiments, and data exploration. Collaborate with stakeholders, produce actionable insights, validate analyses, participate in peer review, and iterate to improve products impacting millions of customers.