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Role Summary The Support Enablement Manager builds and scales the training, onboarding, and quality-assurance programs that power a high-performing contributor-support team. The role owns the full enablement lifecycle — from designing and delivering onboarding curricula to formalizing QA frameworks that drive measurable improvement across the support organization. Enablement priorities are set in partnership with the Regional Manager; the Manager owns execution end to end within that scope and brings recommendations when scope needs to change. This is a hands-on leadership role: assess the landscape, prioritize, build the plan, lead a small team, and deliver results, working cross-functionally with Regional Managers, Team Managers, SMEs, and WFM. Key Responsibilities Own the enablement function end to end — assess gaps, prioritize initiatives, and drive them to completion within scope agreed with the Regional Manager; surface recommendations when scope should change. Onboarding & curriculum — own the end-to-end onboarding for new Support Specialists; design, build, and continuously improve structured training that reflects current workflows, tools, and contributor-experience standards, so agents ramp quickly and confidently. Coaching & development — build and maintain ongoing training across all tiers; partner with Team Managers to close skill gaps with targeted interventions that translate into performance improvement. Quality assurance — own the QA program: scorecard design, calibration, audits, and reporting; keep QA consistent, fair, and actionable, and require that quality feedback cite a current source document. Knowledge base / SSOT — own the support knowledge base and its review cadence so guides stay accurate and current, and retire stale content. Team leadership — lead, develop, and manage a small team of Enablement & QA Specialists; set priorities, coach, and keep the team unblocked and accountable to high-quality output. Cross-functional part

NVIDIA is leading groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The GPU -- our invention -- serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables groundbreaking creativity and discovery, and powers inventions that were once considered science fiction, including artificial intelligence to autonomous cars. We are the GPU Communications Libraries and Networking team at NVIDIA. We build communication libraries like NCCL, NVSHMEM, and UCX that are crucial for scaling Deep Learning and HPC. We're seeking a Senior Software Architect to help co-design next-gen data center platforms and scalable communications software. DL and HPC applications have a huge compute demands and already run at scales of up to tens of thousands of GPUs. GPUs are connected with high-speed interconnects (e.g. NVLink, PCIe) within a node and with high-speed networking (e.g. InfiniBand, Ethernet) across nodes. Efficient and fast communication between GPUs directly impacts end-to-end application performance. This impact continues to grow with the increasing scale of next generation systems. This is an outstanding opportunity to advance the state-of-the-art, break performance barriers, and deliver platforms the world has never seen before. Are you ready to build the new and innovative technologies that will help realize NVIDIA's vision? What you will be doing: Investigate opportunities to improve communication performance by identifying bottlenecks in today's systems. Design and implement new communication technologies to accelerate AI and HPC workloads. Explore innovative solutions in HW and SW for our next generation platforms as part of co-design efforts involving GPU, Networking, and SW architects. Build proofs-of-concept, conduct experiments,

About the Team The Support Automation team at OpenAI scales the organization by applying cutting-edge AI models to real-world challenges, automating and enhancing work across the organization. From customer operations to engineering, we develop an ecosystem of automation products that empower our colleagues and drive impact. We're passionate about crafting products that serve those around us, blending rapid prototyping with a focus on long-term quality and reliability. By creating reusable solutions, we create patterns that can be applied across diverse domains within OpenAI. TLDR: this team leverages OpenAI technology to improve OpenAI, and you’ll have the opportunity to leverage the full extent of our tech (both public and pre-released) to accomplish this mission. About the Role We’re looking for a Backend Software Engineer with experience working in ML/LLM-heavy domains to help to design and build an evals infrastructure that measures the quality of OpenAI’s support automation. This is a deeply technical and highly cross-functional role where you’ll build robust systems and backend services that serve as the foundation for how knowledge is created, accessed, and applied across OpenAI. The role will especially focus on working closely with Data Science and Research partners to design and build evals at scale. In this role, you will: Design eval pipelines that are reliable, reproducible, and extendable Build the infrastructure for continuous eval monitoring frameworks (regression/drift monitoring, building robust golden datasets) along with feedback loops that ultimately strengthen support automation Design, build, and maintain backend services and APIs to support intelligent automation and knowledge systems Integrate and structure data across internal platforms, transforming it into formats optimized for use by downstream systems and AI workflows. Collaborate closely with data, research, and engineering teams to integrate OpenAI models into high-leverage workflows

About the Role OpenAI’s Industrial Compute organization is responsible for ensuring our compute infrastructure scales efficiently to support millions of users and increasingly sophisticated AI models. We’re looking for a Data Scientist to partner closely with Capacity Systems Engineering, Infrastructure, Product, and Research to optimize inference capacity across our global GPU fleet. This role combines statistical modeling, large-scale data analysis, forecasting, and systems thinking to drive critical decisions around infrastructure investments, performance-efficiency trade-offs, and customer experience. You’ll transform complex operational data into actionable insights that directly influence how OpenAI allocates and scales one of the world’s largest AI compute environments. Key Responsibilities Build statistical and machine learning models to profile and improve GPU utilization, latency, throughput, and overall fleet efficiency. Develop forecasting models for inference demand across products, regions, and model families. Analyze production workloads to identify latency bottlenecks and capacity constraints, highlighting optimization opportunities. Partner with Capacity Systems Engineering to inform infrastructure planning and long-term GPU investment strategies. Design experiments and simulations to evaluate scheduling policies, serving strategies, and infrastructure tradeoffs. Build dashboards and operational metrics that enable leadership to make data-driven capacity decisions. Collaborate with Product, Research, Finance, and Infrastructure teams to align compute planning with business growth and model roadmaps. Communicate technical findings clearly to both engineering teams and executive leadership. Qualifications MS or PhD in Statistics, Computer Science, Operations Research, Applied Mathematics, Economics, or related quantitative discipline (or equivalent industry experience). 5+ years of experience working in the infrastructure data science space. Strong ex

At Datadog, our Office Operations team runs the day-to-day operations to keep our employees safe, happy, and productive. This dynamic team works closely with leadership and staff to ensure that Datadog scales smoothly and continues to be a fantastic place to work. Every day brings new challenges and opportunities for collaboration and growth. What You’ll Do: Act as the face of Datadog by welcoming visitors and supporting employees in the office. Act as the primary point of contact for all in-office needs, creating a friendly, helpful, and professional environment Own and lead daily floor walkthroughs, identifying and resolving operational issues proactively to maintain a high standard of cleanliness, safety, and functionality Cultivate and maintain positive working relationships with building management & vendor partners Partner with the Security team to ensure the implementation of all safety protocols Serve as a main point of contact for incoming service tickets, ensuring timely updates, proper prioritization, and follow-through Work with vendor partners to keep the office stocked with food, snacks, and pantry supplies, ensuring everything meets our Datadog standard for quality and consistency Maintain inventory of office supplies and ensure timely restocking to support daily operations Arrange fun and engaging events for employees - both on a monthly cadence and an ad hoc basis Work closely with teammates to maintain smooth office operations and ensure consistency across all workplace processes Where required, work alongside various Operations teams to assist with office moves, build-outs and openings Who You Are: A true people person, with an empathetic and friendly demeanor A quick learner who loves tackling challenges and streamlining processes Exceptional time management skills with the ability to multitask effectively A self-starter who takes initiative and drives projects forward Calm and even-tempered, able to maintain composure under press

At Datadog, our Office Operations team runs the day-to-day operations to keep our employees safe, happy, and productive. This dynamic team works closely with leadership and staff to ensure that Datadog scales smoothly and continues to be a fantastic place to work. Every day brings new challenges and opportunities for collaboration and growth. What You’ll Do: Act as the face of Datadog by welcoming visitors and supporting employees in the office. Act as the primary point of contact for all in-office needs, creating a friendly, helpful, and professional environment Own and lead daily floor walkthroughs, identifying and resolving operational issues proactively to maintain a high standard of cleanliness, safety, and functionality Cultivate and maintain positive working relationships with building management & vendor partners Partner with the Security team to ensure the implementation of all safety protocols Serve as a main point of contact for incoming service tickets, ensuring timely updates, proper prioritization, and follow-through Work with vendor partners to keep the office stocked with food, snacks, and pantry supplies, ensuring everything meets our Datadog standard for quality and consistency Maintain inventory of office supplies and ensure timely restocking to support daily operations Arrange fun and engaging events for employees - both on a monthly cadence and an ad hoc basis Work closely with teammates to maintain smooth office operations and ensure consistency across all workplace processes Where required, work alongside various Operations teams to assist with office moves, build-outs and openings E

We're looking for a Product Analyst to support our Point of Sale (POS) product team. You'll work closely with the POS Product Owner to translate business and venue needs into clear requirements, support day-to-day POS issues, and help drive continuous improvement of the POS platform across all venues. This role is a strong fit for someone who has spent real time in the trenches with POS systems, whether building them, configuring them, or supporting the people who use them every day, and who wants to move deeper into product-facing work. What You'll Do Partner with the POS Product Owner to gather, document, and prioritize requirements for POS enhancements, integrations, and fixes Analyze POS support tickets and incident trends to identify recurring issues, root causes, and opportunities for product improvement Translate business and venue operations needs into clear user stories, acceptance criteria, and functional specifications Support testing and validation of new POS features and releases, including UAT coordination with venue stakeholders Serve as an escalation point for complex POS issues, working with engineering, support, and vendor teams to drive resolution Monitor POS system performance and data quality, flagging anomalies that could affect transactions, inventory, or reporting Maintain and update product documentation, release notes, and training materials for interna

WHAT WE'RE SEEKING The Lead Accountant owns a meaningful piece of that growth story from the accounting side: producing accurate, timely financial statements, including point-of-sale reconciliations, insurance accounting, and the accruals and journal entries that keep our books clean across a fast-moving, multi-unit business. This role reports to the Manager, General Accounting and works closely with the broader Accounting team, Systems, Risk, Technology, and the site and corporate leaders across the venues they support. This is a strong fit for someone who wants real ownership early in their career — someone who can run a close process independently, build relationships with the teams and venues they support, and look for smarter ways to do the work, including using AI to create efficiencies. WHAT YOU WILL DO Key Responsibilities Financial Reporting & Close Produce accurate, timely financial statements as part of the Accounting team's monthly and annual close process. Post, balance, and reconcile the general ledger for each entity in accordance with GAAP. Research and analyze fluctuations versus prior year, prior month, and budget, and prepare journal entries to record transactions in the correct period. POS & Revenue Accounting Review and resolve point-of-sale variances across multiple POS systems. Partner with the Systems team on POS issues and mapping changes and Treasury for reconciling cash issues. Record non-POS revenue accurately and on time. Insurance, Utilities & Other Misc. Accruals Prepare monthly journal entries and reconciliations for the company's insurance policies; partner with the Risk team on claim trends and compare reserves to semi-annual actuary reports. Own highly visible, material accruals such as utilities that requ

About the Team The Code Quality team sits within the Developer Platform organization and owns the systems that keep DoorDash's codebase healthy and secure as it scales: static analysis, quality gates, test frameworks, regression infrastructure, and tooling. Our job is to make sure the signals engineers rely on before shipping — test results, coverage, performance feedback etc — are fast and trustworthy. The decisions we make about tooling and standards directly shape how confidently and quickly engineering teams at DoorDash can ship to production. About the Role We're looking for Software Engineers to help build and maintain the systems that validate code quality across DoorDash's engineering org, treating our tooling as a critical product for the engineers who rely on it every day: static analysis and quality gates, test frameworks and regression infrastructure. You’ll design the tooling and automation that will help derive trustworthy quality signals, integrate them into the development lifecycle, and make it easy for engineers to execute reliable, repeatable workflows. You will collaborate across the engineering org, partnering directly with the teams who use what you build to understand the accuracy, reliability and performance of their functionality. You will report into the Engineering Manager on our Code Quality team in our Developer Platform organization. You must be located in either San Francisco, CA, Sunnyvale, CA, Los Angeles, CA, Seattle, WA, or New York, NY. You're excited about this opportunity because you will… Build and maintain quality tooling — static analysis, quality gates, coverage reporting, test frameworks, regression infrastructure — and integrate it directly into our developer workflows and CI/CD pipelines Define and derive quality signals - flakiness, pass rate, coverage, performance, scale readiness etc - Build tooling that improves everyday engineering workflows, including local development, CI/CD, debugging, and rollou

Staff Management Supervise train and schedule servers hosts and bartenders. Conduct pre-shift briefings and performance evaluations.Operations Oversight Manage opening and closing duties monitor inventory levels and handle point-of-sale (POS) systems.Customer Service Greet guests ensure satisfaction and resolve complaints or special requests professionally.Quality & Safety Control Enforce local health hygiene and food safety regulations. Inspect dining areas for cleanliness and proper setup.Department Coordination Liaise with the kitchen stewarding and management teams to streamline service. Address: Google Mtech - FS Hyd Survey No 116 117 119 128/AA and 129 Road No 2HyderabadTSINDIA500032 Facility: GOOGLE INDIA_FS HYD_SALARPURIA_CORE Qualification: Not Specified Experience: 3 - 5 years Source: Sodexo India | Job Code: IJP574629