Servicing Reporting Analyst Jobs

Responsible for maintaining pantry hygiene preparing and serving beverages and refreshments replenishing pantry supplies and ensuring a clean organized and well-stocked pantry area. Address: BA Continuum India Pvt Ltd, Maximus Towers, 2B, 1F, 5F, 6F, 8F, Hitech City, K Raheja Mindspace (IT Park) Madhapur, Hyderabad, Telangana - 500081 Facility: BACI JLL HYDERABAD 2A/2B Experience: 2 - 3 years Source: Sodexo India | Job Code: IJP558431

Overview: The Marketing Team functions as an in-house agency serving internal teams and clients across all Guidepoint’s business units. The team strives to generate a positive customer experience across every touchpoint, efficiently and at scale— weaving in Guidepoint’s story along the way. As the Marketing Specialist, EMEA, you will join Guidepoint on a fixed-term contract to provide maternity leave cover. You will collaborate with the global Marketing team to develop and deliver marketing and communications strategies, media and public relations initiatives, and branding and sales-support activities for our offices in London, Athens, and Dubai. What You'll Do: Partner closely with regional leaders and stakeholders to strengthen brand awareness, support sales growth, and promote client engagement across EMEA Develop and implement an effective mix of growth marketing, lead-generation, content marketing, and social media initiatives aligned with regional priorities Collaborate with global Marketing and Design teams to plan and execute multi-channel campaigns that support clients throughout their journey, from initial brand awareness to ongoing platform utilization Support regional Sales and Client Service teams by developing local and regional event strategies, press releases, targeted email campaigns, videos, and presentations Establish and track KPIs across marketing initiatives, using results to optimize future programs, demonstrate ROI, and share outcomes with company leadership What You Have: Bachelor’s degree required; a degree in Marketing, Communications, English, or Business is preferred 3 to 5 years of experience in global B2B marketing, public relations, and/or communications, including digital marketing experience Experience developing and executing multi-channel content marketing campaigns, with a strong understanding of engagement, retention, analytics, and both organic and paid channels Familiarity with Salesforce, Salesforce Marketing Cloud, and

About the Team Come help us build and develop tools serving hundreds of engineers internally! We’re looking for a Fullstack Software Engineer to join our Developer Insights team. About the Role Our mission is to improve the developer experience of engineers at DoorDash by building various internal products, including our internal developer portal, Developer Insights. Our success as a platform team depends on the success of the product teams we serve. Because of this, we invest in building a strong community that encourages participation and promotes best practices. You’re excited about this opportunity because you will… Introduce cutting edge technologies to our engineering organization, including tools built on LLMs Build new features for Developer Insights (using Backstage.io) Improve the developer experience for all of our engineers Work and collaborate across team boundaries. Contribute features and bug fixes to upstream open-source projects. Mentor and educate your peers. Lead the team in a technical fashion and assist in roadmap planning and measurement of existing features. Represent the team at large in OKR and engineering all-hands presentations. Context switch from frontend to backend to data depending on the need that arises. We’re excited about you because… You have at least 2 years of experience in web technologies using Typescript with React on the frontend with Java, Kotlin, Python or Go backend experience. You have a product mindset and apply that to how you would build out platform services. You love systems and software, and you're proficient in both. You’re curious and dive deep into different system architectures. You are an organized and excellent written and verbal communicator. You have proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software Compensation The successful candidate’s starti

MUST BE OVER 18 YEARS OLD AND HAVE PRIOR SERVING EXPERIENCE. Job Responsibilities Greet and welcome guests to the bays, providing information about Topgolf offerings. Take and deliver food and beverage orders to guests in a timely and accurate manner. Ensure the cleanliness and organization of the bay areas, including clearing tables and picking up golf balls. Assist guests with bay setup and provide instructions on how to use Topgolf technology. Handle guest inquiries and resolve any issues or concerns with a high level of professionalism. Collaborate with other staff members to create a positive and memorable guest experience. Demonstrate Topgolf's Core Values: Fun, One Team, Excellence, Edgy Spirit, and Caring. Comply with safety and health regulations at all times. Critical Skills & Experience Requirements Previous customer service experience in a hospitality or restaurant setting is preferred. Excellent interpersonal and communication skills. Ability to work in a fast-paced environment and under pressure. Attention to detail and strong organizational skills. Must be of legal age to serve alcohol where required by law. Availability to work evenings, weekends, and holidays. BENEFITS Free Play & 1/2 price food! Health, dental, vision, 401(k) team member match, free mental well-being platform – and that’s just for starters for those who qualify. View team member benefits here. ADA The above statements cover what are generally believed to be principal and essential functions of the job. Specific circumstances

AI Platform builds the foundations of Datadog's AI efforts. The org is 70+ people organised in three pillars: training and serving (GPU clusters, distributed training, low-level infrastructure), agents (agent harnesses, memory systems, the internal AI gateway that routes every LLM request at Datadog), and evaluation and experimentation. This role sits in the evaluation and experimentation pillar, which owns Datadog's shared annotation and evaluation infrastructure — including the evaluation scenario store and the telemetry archival systems used across the Bits org. Together they let an agent travel back in time and query what Datadog looked like at the exact moment an incident happened, so scenarios can be replayed and agent performance tracked over time. Specifically, you'll be the first applied scientist on GenSim (Generative Simulations), the team that builds the environments Datadog's agents learn in. GenSim doesn't replay sampled telemetry — it stands up real, fully instrumented applications that talk to Datadog, drives them with representative traffic, injects controlled failures, and records what happens. Because GenSim injected the failure, it knows the ground truth. That corpus — hundreds of postmortem-derived scenarios and thousands of runnable applications — is today the primary source of post-training data for Datadog's own SRE model, and the substrate that Bits AI SRE and our other agents are trained and evaluated against. The team has no applied science support today and is learning post-training data methodology on the fly. That's the gap this role fills, and the open questions are the interesting part. How do you tell whether a generated environment is actually representative of the messy, incomplete telemetry real customers run — rather than a suspiciously clean one where every monitor exists and every service emits complete logs? How do you make injected problems genuinely hard, and how do you even measure difficulty? How do you define and control

Job Responsibilities Coordinate orders between the kitchen and the serving staff. Ensure that food orders are prepared correctly and match the guest's request. Verify the completeness and accuracy of each order before it leaves the kitchen. Assist in keeping the kitchen and expo area organized and clean. Communicate with the kitchen team to manage order times effectively. Handle special requests and dietary restrictions from guests. Collaborate with servers and chefs to resolve any order discrepancies. Critical Skills & Experience Requirements Previous experience in a restaurant or kitchen environment is preferred. Excellent organizational and multitasking skills. Strong attention to detail and accuracy. Effective communication and teamwork abilities. Ability to work efficiently in a fast-paced environment. BENEFITS Free Play & 1/2 price food! Health, dental, vision, 401(k) team member match, free mental well-being platform – and that’s just for starters for those who qualify. View team member benefits here. ADA The above statements cover what are generally believed to be principal and essential functions of the job. Specific circumstances may allow or require some incumbents assigned to the job to perform a different combination of duties. EEO Statement Topgolf is a global sports and entertainment community and is committed to equal opportunity and is firmly committed to preventing discrimination and harassment, including sexual misconduct, based on legally protected diversity characteristics (such as race, color, religion, national origin, sex, age, d

Current one has resigned due to family reasons and not serving the notice period Address: Birla Aurora, 8th and 13th floor, Dr.Annie Bezant Road, Mumbai Facility: BIRLA ESTATE - FM MUMBAI Qualification: Not Specified Experience: 2 - 4 years Source: Sodexo India | Job Code: IJP574461

maintaining a clean and organized pantry preparing and serving beverages and light snacks and assisting with general office support tasks. Address: Vodafone Idea House, Corporate Road, Off. S.G. Highway, Prahlad nagar, Ahmedabad Facility: VODAFONE - GUJARAT Experience: 1 - 2 years Source: Sodexo India | Job Code: IJP567696

En InvGate desarrollamos soluciones SaaS que potencian la gestión de IT y la automatización de servicios para organizaciones de todo el mundo. Hoy acompañamos a miles de usuarios en más de 50 países y trabajamos con empresas de industrias tan diversas como servicios financieros, tecnología, educación, retail y e-commerce. Seguimos creciendo y buscamos incorporar un/a Sales Manager para liderar el desarrollo de nuevas oportunidades de negocio, impulsar el crecimiento comercial en LATAM y contribuir a la evolución de nuestra estrategia de ventas global. Buscamos una persona con fuerte orientación a resultados, visión estratégica y perfil consultivo, capaz de construir relaciones de largo plazo con clientes y stakeholders clave. Tendrá un rol central en la gestión del pipeline comercial, el cumplimiento de objetivos de revenue y la colaboración con equipos de Pre-Sales, Marketing y Customer Success para ofrecer una experiencia de compra de excelencia. ¿Qué buscamos? Experiencia previa en posiciones de Sales Manager o liderazgo de ventas en entornos B2B. Trayectoria comprobable en ventas consultivas y gestión de ciclos de venta complejos. Experiencia en compañías SaaS, software empresarial o tecnología será altamente valorada. Sólidas habilidades de negociación, comunicación e influencia. Capacidad para gestionar múltiples oportunidades de manera simultánea y trabajar en entornos dinámicos y de alto crecimiento. Experiencia utilizando herramientas CRM (Salesforce, HubSpot o similares) y realizando seguimiento de métricas comerciales. Inglés avanzado. Residencia en CABA o AMBA (le rol será Híbrido, requiriendo asistencia a nuestra oficina en el barrio de Belgrano al menos dos veces a la semana). ¿Qué ofrecemos? Oportunidades reales de crecimiento profesional dentro de una compañía global en expansión. Clases de inglés 100% cubiertas. Cobertura médica de primera línea. Beneficio mensual destinado a consumos gastronómicos. Reintegro por gastos para dias de teletrabajo. Lic

About the Role: As a Staff Software Engineer on the ML Infrastructure team, you will collaborate closely with the Machine Learning and Product teams to build world-class machine learning inference platforms. These platforms power essential services like personalized recommendations, search, and content understanding across Tubi. A core responsibility of this team is developing and maintaining low-latency ML model serving systems that support Deep Learning, LLM, and Search models. This involves building self-service infrastructure and critical components such as the inference engine, feature store, vector store, and experimentation engine. You will improve the way we deploy and operate our services and even contribute to open-source projects. This role grants the architectural freedom to explore new frameworks, lead critical cross-functional projects, and transform the capabilities of our ML and Product teams. Responsibilities: Design and build scalable, high throughput, and low latency distributed systems using Scala Build reusable components and services that serve various ML applications like Personalization, Search, Ads and Exploration Partner closely with ML engineers to understand their challenges and limitations and develop scalable solutions to address them. Proactively recommend solutions to keep our ML Inference stack state of the art. Take a data driven approach to identifying & optimizing latency, cost, and efficiency of our infra. Lead large scale cross functional refactorings if necessary Mentor other engineers on the team on system design, effective incident management, interviewing, leveraging LLMs for work, etc. Collaborate with ML, Product, and cross functional engineering teams to define the long term vision and architecture for ML Infrastructure at Tubi. Your Background: Experience designing and building scalable, distributed systems in any modern backend language (e.g., Scala, Java, Python, Go, C++); experience with Scala or JVM b

【About Appier】 Appier (TSE: 4180) is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to create value through cutting-edge AdTech and MarTech solutions. Founded in 2012 with the vision of “Making AI Easy by Making Software Intelligent,” Appier helps businesses turn AI into ROI through its Ad Cloud, Personalization Cloud, and Data Cloud—each powered by Agentic AI that enables autonomous, adaptive, and real-time decision-making. Today, Appier operates 17 offices across APAC, the US, and EMEA, and is listed on the Tokyo Stock Exchange. Learn more at www.appier.com. 【About the role】 The Campaign Management Intern will support the campaign management and tech support teams to facilitate the daily operations workflow related to advertisement campaigns. 【Responsibilities】 - Provide campaign management team with operations requirement. - Prepare documents and reports necessary for each campaign management sub-team. - Assist in advertising campaigns operations. - Co-work & provide insight with campaign analyst, and partnership team on optimization related projects. - Monitor campaign. 【About you】 [Essential] - Open to candidates with no working experience. - Moderate ability in English (Read/Write). - Ability to use Microsoft offices and image processing tools. - Diligent, and details oriented. - Interested in new technologies and able to pick up new skills set quickly. [Nice to have] - Digital advertising / RTB /Programmatic buying experience a plus - Exposure to online ad serving concepts (CPM/CPA/RTB/ROI), video, mobile, social media is a plus. 【Commitment】 - Schedule: 2-3 days per week (16-26 hours). - Duration: Minimum 6 months. #LI-JC1

The Pantry Boy is responsible for maintaining the pantry area preparing and serving beverages ensuring cleanliness and hygiene replenishing pantry supplies and providing courteous service to employee& 39 s guests and visitors. Address: Shamshabad, Hyderabad Facility: GMR HYDERABAD INTERNATIONAL AIRPORT Qualification: 10th Experience: 1 - 2 years Source: Sodexo India | Job Code: IJP586521

InvGate es una empresa SaaS en constante crecimiento que desarrolla productos destinados al IT management y a la automatización de servicios. Actualmente contamos con clientes en más de 60 países y en industrias tan diversas como bancos, e-commerce, educación y tecnología. Buscamos Software Engineers para InvGate Assets Management, un producto que permite a nuestros clientes gestionar su inventario informático, conocer y explorar su infraestructura, analizar el impacto de los cambios, comprender sus aplicaciones de negocio y las relaciones entre los distintos elementos de su infraestructura, y asegurar el cumplimiento de políticas de seguridad informática, entre otras funcionalidades. Buscamos ingenieros que combinen profundidad técnica con una mirada integral sobre el producto y el impacto de lo que construyen en nuestros clientes. Responsabilidades: Participar en todo el ciclo de desarrollo, desde el entendimiento del problema y el diseño de la solución hasta la construcción, testing, despliegue, monitoreo, resolución de problemas en producción e iteración. Utilizar la IA como multiplicador de la capacidad de ingeniería, incorporándola en las distintas etapas del SDLC para entregar mayor valor, con mayor trazabilidad, menos regresiones y ciclos de validación más rigurosos. Tomar ownership sobre los resultados, comprendiendo el problema a resolver, cuestionando lo necesario y tomando decisiones que contemplen tanto los aspectos técnicos como el producto y el negocio. Trabajar con autonomía y adaptarse a cambios de prioridades, avanzando, validando, aprendiendo e iterando aun cuando las especificaciones no estén completamente definidas. ¿Qué buscamos? Experiencia sólida en ingeniería de software, con una base técnica que te permita evaluar soluciones, detectar problemas y tomar buenas decisiones más allá del código generado por IA. Experiencia real utilizando herramientas de IA para desarrollar software y capacidad para incorporarlas a tu workflow de man

Senior Machine Learning Developer Location: Montreal, Quebec, Toronto, or Ontario About Numa Numa is building the platform to power AI-native dealerships, rearchitecting automotive service and sales with advanced AI agents that automate customer interactions, streamline operations, and reimagine how dealerships work. Numa integrates AI into every aspect of dealership functions—from rescuing customer calls and voicemails that generate more revenue, to reducing customer resolution times that drive overall customer satisfaction (CSI), to improving dealership team productivity and accountability. Numa has raised $50 million from leading investors (Google, Threshold, Costanoa, Mitsui, and Touring Capital). The Role We’re hiring a Senior Machine Learning Developer to build and ship ML/AI systems that interact with real customers thousands of times a day. Our voice agents book service appointments, rescue missed calls, and route callers through natural conversations. You’ll work across products and platforms. You’ll ship AI features including prompts, agents, tools, and production ML models, while building the evaluations and tooling that help teams ship with confidence. You’ll also contribute to our ML platform, including model serving, LLM infrastructure, and production observability. At Numa, we believe great ML is about more than building bigger models. It’s about knowing whether a change is good enough to ship. Our evaluation-first approach makes that measurable in CI and production. What You’ll Do Build conversational AI systems for phone and SMS that understand customer needs, take action, and know when to act autonomously Develop tooling such as memory, knowledge graphs, and validated customization that help agents reason and adapt to dealership needs Train, evaluate, and deploy ML models using Ray Serve and Dagster for prediction, classification, ranking, and capacity forecasting, and keep them healthy in production Create offline and online evalua

About Getty Images Getty Images is a world-leading visual content creator and marketplace, serving customers across media, creative and corporate industries worldwide. Our Editorial team covers some of the world's most significant news, sport and entertainment events, delivering compelling visual storytelling to audiences around the globe. We are committed to developing the next generation of visual storytellers and creating opportunities for emerging photographers to gain practical experience in a professional editorial environment. About the Opportunity Getty Images is seeking an emerging photographer to join our Editorial Sports team through a six-month paid Sports Photography Traineeship based in Sydney. This fixed-term, part-time opportunity is designed to support the development of early-career sports photographers through practical experience, dedicated mentorship and exposure to professional editorial photography workflows. The successful candidate will work alongside Getty Images photographers, editors, and editorial staff, gaining experience across live sports coverage, image editing, captioning, metadata, transmission and editorial production processes. The programme includes mentorship from Getty Images staff sports photographers and Nikon Ambassador, Hannah Peters, as well as guidance from Getty Images sports photographers, editors and editorial staff. Participants will have opportunities to contribute to sporting event coverage, subject to editorial requirements, operational needs and accreditation availability. Your Next Challenge: As part of the traineeship, you may have opportunities to: Observe and assist with live sports photography coverage. Attend sporting events and assignments that may take place during evenings, weekends and public holidays. Learn and apply Getty Images editorial photography standards and workflows. Edit, caption and prepare photographs for transmission and distrib