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The Mines Manager is entrusted with the comprehensive oversight and direction of all mine operations, ensuring stringent adherence to safety standards, operational efficiency, and regulatory compliance. Tasked with strategically deploying resources, including equipment and personnel, they spearhead drilling, blasting, and coal seam removal activities while instilling a pervasive culture of safety among both employees and contractors. Collaborating closely with engineering teams, they engage in proactive planning to tackle seasonal challenges, all geared toward the overarching goal of meeting production targets while driving continuous improvement initiatives to enhance productivity and cost-effectiveness. Source: Adani Group | Job ID: 55013

This position will be responsible for overseeing coal quality, quantity, and operational efficiency, ensuring compliance,accurate record-keeping, and effective coordination in the thermal power station Source: Adani Group | Job ID: 52437

• Overseeing daily administrative operations within the power plant • Ensuring compliance with all regulatory requirements and standards • Managing and coordinating plant maintenance schedules • Collaborating with various departments to streamline plant processes • Supervising administrative staff and providing training and development opportunities • Preparing reports and documentation for internal and external stakeholders • Implementing best practices to optimize plant efficiency and performance • Participating in strategic planning and decision-making processes Source: Adani Group | Job ID: 40335

"Preperation of various MISs for tracking and analysing financial and operational KPIs. Understanding each cost element in entire business cycle and assisting in costing." Source: Adani Group | Job ID: 50605

The purpose of this role is to Liaison, creating and building strategic relationships with key stakeholders in Central/ State/ Local Govt. bodies and working closely with Business Leaders and oversee strategic business initiatives from development through successful execution with the collaboration of senior leadership and departmental heads. Source: Adani Group | Job ID: 56243

The job purpose of a Shift Engineer - Diffusion in cell maintenance is to manage and optimize the diffusion process. This includes overseeing equipment operation, maintaining quality standards, minimizing downtime, and driving continuous improvement to ensure efficient production of high-quality solar cells. Source: Adani Group | Job ID: 52363

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Smartsheet is seeking a proactive, collaborative Partner Enablement Manager to execute the AMER partner enablement program, supporting partner success and capabilities throughout their entire journey with Smartsheet. In this role, you will help craft and deliver training, certification, communications, and enablement content; facilitate partner development; and help partners build the skills needed to succeed in our program. You will work closely with Manager, Global Partner Experience & Enablement and cross-functional stakeholders to align enablement execution with broader partner strategy and drive measurable improvement in partners' skills and abilities, enabling revenue growth through Smartsheet’s partner ecosystem. You will report to the Manager, Global Partner Experience & Enablement in the US . This role is eligible for remote work within Costa Rica. You must reside in Costa Rica. You Will Program Execution and facilitation Execute the Partner Enablement program and work with all key stakeholders to ensure program success Facilitate learning sessions covering a broad range of Smartsheet product, technical, sales, program, and enablement topics Maintain high audience engagement during live and virtual events; develop comfort with multi-hour presentation formats Facilitate partner learning throughout their entire lifecycle, including onboarding, ongoing skill development, and certification preparation; help guide partners through enablement journeys in the LMS and partner

About the team The OpenAI for Government team is a dynamic, mission-driven group leveraging frontier AI to transform how governments achieve their missions. Our team works to empower public servants with secure, compliant AI tools (e.g., ChatGPT Enterprise in custom configurations) and mission-aligned deployments that meet government technical requirements with strong reliability and safety. As part of the OpenAI for Government team you will work across U.S. defense enterprises, helping to accelerate adoption through hands-on support, tailored training, and early insights—so civil servants can spend less time on red tape and more on meaningful work. If you're passionate about responsibly deploying frontier AI to uplift public institutions and transform how the government serves the American people, we want you on our team. About the Role The Strategic Delivery Lead (SDL) for DoW will identify and deliver on some of OpenAI’s most complex and high-impact deployments for the U.S. national security enterprise, with a focus on CDAO-led efforts including GenAI.mil , Advana (WDP), and other programs that accelerate DoW adoption of data, analytics, and artificial intelligence across the DoW enterprise. The role is highly cross-functional and customer-facing: You’ll partner with Research, Engineering, Go-to-Market, CDAO, the Military Departments and Services supported by CDAO, and other external stakeholders to align on scope, unblock delivery, and communicate progress at every level, from technical teams to C-suite. You will own and drive execution of technical delivery workstreams led by internal teams (Forward Deployed Engineers, Researchers, Solutions Architects, Enablement), ensuring clear problem-framing, crisp milestone definitions, proactive risk identification, rapid issue resolution, and effective translation between business objectives and technical solutions, while consistently communicating clear progress and demonstrating tangible value to national security cus

PagerDuty (NYSE:PD) is a leader in Digital Operations Management. In an always-on world, organizations of all sizes trust PagerDuty to help them deliver a perfect digital experience to their customers, every time. Teams use PagerDuty to identify issues and opportunities in real time and bring together the right people to fix problems faster and prevent them in the future. Over 13,000 organizations (including 60 of Fortune 100) rely on PagerDuty to succeed with Digital Transformation, Cloud Migration, and DevOps Modernization. Notable customers include GE, Cisco, Genentech, Electronic Arts, Cox Automotive, Netflix, Shopify, Zoom, DoorDash, Lululemon and more. We are expanding rapidly as a platform for Digital Operations Management using AI/ML and Automation and growing our adoption by Development, IT, Customer Service, Security, and other teams across the organization. About the role PagerDuty’s Operations Cloud runs on a platform that ingests billions of signals and turns them into real-time action for thousands of customers. We’re looking for a Senior AI/ML Engineer who lives at the intersection of two disciplines: large-scale distributed systems and applied AI. In this role you will design and ship AI systems that run in production at PagerDuty’s scale — powering Incident Management AI Agents, event intelligence, and the LLM-powered capabilities embedded across our platform. You’ll own the full lifecycle, from framing the problem to serving reliably at scale. We are looking for a candidate who is genuinely passionate about building with modern AI — LLMs, agents, and retrieval — but grounded in the realities of building resilient, high-throughput systems. What you’ll do Design and build AI-powered features — LLM agents, retrieval, and event intelligence — that operate on high-volume, real-time event streams, from problem framing through production deployment and monitoring. Architect and own the systems behind them: agent and prompt orchestration, retrieval pipelin

PagerDuty (NYSE:PD) is a leader in Digital Operations Management. In an always-on world, organizations of all sizes trust PagerDuty to help them deliver a perfect digital experience to their customers, every time. Teams use PagerDuty to identify issues and opportunities in real time and bring together the right people to fix problems faster and prevent them in the future. Over 13,000 organizations (including 60 of Fortune 100) rely on PagerDuty to succeed with Digital Transformation, Cloud Migration, and DevOps Modernization. Notable customers include GE, Cisco, Genentech, Electronic Arts, Cox Automotive, Netflix, Shopify, Zoom, DoorDash, Lululemon and more. We are expanding rapidly as a platform for Digital Operations Management using AI/ML and Automation and growing our adoption by Development, IT, Customer Service, Security, and other teams across the organization. About the role PagerDuty’s Operations Cloud runs on a platform that ingests billions of signals and turns them into real-time action for thousands of customers. We’re looking for an early-career AI/ML Engineer who is excited to grow at the intersection of two disciplines: large-scale distributed systems and machine learning. In this role you will help build and ship AI systems that run in production at PagerDuty’s scale — powering Incident Management AI Agents, event intelligence, and the LLM-powered capabilities embedded across our platform. You’ll work alongside senior engineers on real production problems, learning how AI features go from a prototype to something that serves reliably at scale. We are looking for a candidate who is genuinely excited about building with modern AI — LLMs, agents, and retrieval — eager to learn how resilient, high-throughput systems are built, and motivated to grow into an engineer who is strong in both. What you’ll do Contribute to AI-powered features — LLM agents, retrieval, and event intelligence — that operate on high-volume, real-time data, with support and guidanc

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