Top Tech Jobs & Startup Jobs in Pune

Designs and leads Azure AI and TokenOps architectures across Asian markets. Responsibilities include customer workshops, pilots, agent and RAG architecture, model routing and evaluation, observability, FinOps unit economics, enterprise integration, security, Responsible AI, and regulatory compliance. The role coordinates customers, partners, Microsoft stakeholders, and regional delivery teams while creating reusable, locally adaptable architecture and delivery patterns.

Supports research and product innovation by analyzing large-scale datasets, improving machine learning algorithms, designing experiments, preparing modeling data, developing scalable AI prototypes, and assisting with feature ideation and data quality improvements under senior guidance.

Own and resolve complex, escalated customer technical issues involving .NET, ASP.NET, Web APIs, networking, IIS, Azure, and web applications. Troubleshoot using debugging tools, source code, and network traces; coordinate across teams, communicate with customers, report product defects, and develop solutions or automation. Share knowledge through coaching and mentoring while supporting global customers across flexible shifts.

Supports end-to-end product design by researching user needs, creating visual and interaction designs, developing wireframes and journey maps, and collaborating with engineering, marketing, program management, and development teams. The intern contributes to product features, UX improvements, design quality assurance, product narratives, and customer feedback analysis under guidance.

Owns, investigates, and resolves customer technical issues using troubleshooting tools and cross-team collaboration. The role includes sharing technical knowledge, developing support proficiency through training, identifying product defects, and escalating issues to improve Microsoft products and processes. Candidates need technical support or IT experience, strong English communication skills, and the ability to pass Microsoft Cloud Background Check screening.

Provides advanced technical support for complex Azure, .NET, ASP.NET, Web API, REST, networking, and connectivity issues. Owns escalated customer cases through resolution, performs debugging and network-trace analysis, develops solutions, coordinates with engineering teams, communicates with corporate customers, reports product issues, and shares knowledge. Requires customer-focused troubleshooting, strong communication, collaboration, shift flexibility, and Microsoft Cloud Background Check screening.

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.

Owns, investigates, troubleshoots, and resolves customers’ technical issues. Collaborates across teams, uses troubleshooting tools and practices, participates in peer communities, develops technical expertise through training, and identifies and escalates product defects to support product improvements.

Defines product vision and strategy, identifies customer needs and market opportunities, prioritizes feature investments, evaluates tradeoffs, and drives product roadmaps. Partners cross-functionally with Product Marketing, Business Planning, and Engineering on release criteria, customer acquisition, usage, retention, and monetization strategies. The intern contributes to real-world product initiatives while building consensus and aligning stakeholders.

Early-career Customer Success Account Manager supporting a shared portfolio within a pod model. Responsibilities include tracking account health, cloud and AI adoption, delivery milestones, support signals, dependencies, risks, and remediation follow-ups. The role synthesizes account and portfolio intelligence, coordinates internal execution, and surfaces escalation risks under the guidance of senior CSAMs and managers. It requires strong communication, AI-first working practices, and 2–4 years of experience in program management, customer-facing operations, technology delivery, or analytics.