Event Planning Manager Jobs

Location Details: Gurgaon, India At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​ This is a hybrid position. You’ll divide your time between working remotely from your home and an office, so you should live within commuting distance. Hybrid teams may work in-office as much as a few times a week or as little as once a month or quarter, as decided by leadership. The hiring manager can share more about what hybrid work might look like for this team. Join Our Team GoDaddy is empowering everyday entrepreneurs around the world by providing all of the help and tools to succeed online. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights and the people to transform their ideas and personal initiative into success. Our Identity team is looking for a Software Engineer to join us in building and maintaining GoDaddy's customer identity platform. As a software engineer on our team, you will work in an Agile scrum environment, contributing to the development and maintenance of mission-critical services that serve as the authoritative source of truth for all GoDaddy customer profiles, identity verification, and consent management. You'll be working with modern cloud-native architectures, handling billions of requests, and ensuring the highest standards of security and compliance for customer data. What you'll get to do... Design, develop, and maintain backend services and RESTful APIs using Java and Spring Boot for GoDaddy's customer profile and identity platform Build scalable, event-driven microservices on AWS (DynamoDB, Kinesis, Lambda, ECS/Fargate, S3, OpenSearch), including real-time integrations with internal systems and third-party vendor

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Internal Communications shapes Coinbase's employee experience and reinforces our mission, strategy, and culture. This Senior Internal Communications Manager role is an individual contributor reporting to the Director of Internal Communications. They will partner directly with executives and senior leaders to tell powerful stories, drive change, and define what best-in-class internal comms looks like in an AI-native company What you’ll do: Define and own the internal communications strategy for your portfolio of stakeholders, serving as a trusted advisor to senior leaders on messaging, approach, timing, etc Ensure employees have the information and context they need to do their job. Create and improve systems, including AI-powered tools and workflows, that scale communications across a globally distributed, remote workforce. Measure the effectiveness of communications programs, leveraging data for continuous improvement Develop a deep understanding of the company mission, strategy, and culture to reinforce in all communications. Proactively identify and implement AI-native approaches to internal communications, from content creation and personalization to measurement and feedback loops, raising the bar for what the function can deliver at scale. Support and execute org or company-wide live events (i.e. drafting talking points, advising on event

Datadog is seeking a Regional Content Manager, APJ to accelerate our brand presence and business growth across India, ANZ, and ASEAN. You will lead the development, adaptation, and execution of content strategies that bring Datadog’s global messages to life for diverse local audiences, while creating original, APJ-specific content that resonates with customers across some of the world’s fastest-growing technology markets. Working closely with global and regional teams, you will ensure a consistent brand experience across product messaging, campaigns, events, and digital channels — helping deliver Datadog’s value to audiences in India, Australia, New Zealand, Singapore, Malaysia, Indonesia, Thailand, and beyond. At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Develop and execute content strategies tailored to APJ markets - including India, ANZ, and ASEAN, assisting content managers in Korea and Japan - spanning campaigns, ABM programs, product launches, customer stories, customer videos, events, and PR initiatives Create and adapt localized storytelling and messaging based on global marketing assets, ensuring cultural and market relevance across diverse APJ audiences Partner with in-market teams to surface regional insights and translate them into compelling content Manage high-quality content creation in collaboration with global teams and external partners, including translation vendors, writers, and creative agencies Manage content publishing across multiple channels - website, social media, blogs, email, and event materials Provide market insights and feedback to global teams to inform broader marketing strategies and initiatives Ensure brand consistency across tone, voice, and messaging in all APJ marketing assets Oversee localization projects inclu

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: Airbnb’s mission is to create a world where anyone can belong anywhere. Airbnb Payments team supports this mission by economically empowering Airbnb businesses and our global community of guests and hosts. Airbnb Payments team allows any two people in the world to frictionlessly exchange money with easy to use payments services. It is a core strategy to fulfill Airbnb’s belongs anywhere mission. We are building a world-class payments platform that moves billions of dollars, in 191 countries, with 75 currencies, through a complex ecosystem of payments partners. We build and maintain our own in-house global payments platform because no solution exists with the global reach needed. The Ledger team is part of the core platform of the Airbnb Payments ecosystem, where we own the financial integrity of Airbnb's money movement. The team is building Airbnb's financial system of record and the platform that governs when money is held rather than moved. The team engineers are responsible for ensuring that every payment event is recorded accurately and completely, and that money moves — or is held — exactly as Airbnb's obligations and controls require, in a way that is reliable, accurate, timely, scalable, and auditable. We are evolving these platforms to enable the next generation of Airbnb payments products, and the engineers who join us will help set the foundations those products are built on. The Difference You Will Make: We are looking for talented and self-motivated Senior Software Engineers who are passionate about working in this highly dynamic domain and collaborating with world

About the Role Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse, and misuse using intelligent systems worldwide. In this position, you will build and develop machine learning models from scratch, including custom transformer-based frameworks, to identify fraudulent actions, stop account sharing, and protect the experience of hundreds of millions of users. You will manage the entire model lifecycle: raw behavioral data and feature engineering, architecture development, large-scale GPU training, deployment, and monitoring. The team is actively building in-house behavioral foundation models that learn identity-preserving representations from long sequences of user activity. This is a role for an engineer who wants to own deep learning systems end-to-end — not consume pre-built ones. Key Responsibilities Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences. Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining (e.g., masked modeling, contrastive learning), and downstream fine-tuning. Train large models efficiently on GPU infrastructure using mixed-precision training, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP, FSDP, or equivalent). Build and optimize feature pipelines on Databricks and Spark, transforming raw behavioral events into high-quality model inputs. Translate prototypes into production ML systems — scalable, reliable, and observable — and drive inference performance through architectural and serving-side optimization. Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and

About the Role Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse, and misuse using intelligent systems worldwide. In this position, you will build and develop machine learning models from scratch, including custom transformer-based frameworks, to identify fraudulent actions, stop account sharing, and protect the experience of hundreds of millions of users. You will manage the entire model lifecycle: raw behavioral data and feature engineering, architecture development, large-scale GPU training, deployment, and monitoring. The team is actively building in-house behavioral foundation models that learn identity-preserving representations from long sequences of user activity. This is a role for an engineer who wants to own deep learning systems end-to-end — not consume pre-built ones. Key Responsibilities Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences. Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining (e.g., masked modeling, contrastive learning), and downstream fine-tuning. Train large models efficiently on GPU infrastructure using mixed-precision training, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP, FSDP, or equivalent). Build and optimize feature pipelines on Databricks and Spark, transforming raw behavioral events into high-quality model inputs. Translate prototypes into production ML systems — scalable, reliable, and observable — and drive inference performance through architectural and serving-side optimization. Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and

About the Role Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse, and misuse using intelligent systems worldwide. In this position, you will build and develop machine learning models from scratch, including custom transformer-based frameworks, to identify fraudulent actions, stop account sharing, and protect the experience of hundreds of millions of users. You will manage the entire model lifecycle: raw behavioral data and feature engineering, architecture development, large-scale GPU training, deployment, and monitoring. The team is actively building in-house behavioral foundation models that learn identity-preserving representations from long sequences of user activity. This is a role for an engineer who wants to own deep learning systems end-to-end — not consume pre-built ones. Key Responsibilities Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences. Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining (e.g., masked modeling, contrastive learning), and downstream fine-tuning. Train large models efficiently on GPU infrastructure using mixed-precision training, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP, FSDP, or equivalent). Build and optimize feature pipelines on Databricks and Spark, transforming raw behavioral events into high-quality model inputs. Translate prototypes into production ML systems — scalable, reliable, and observable — and drive inference performance through architectural and serving-side optimization. Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. About the Role As Senior Product Manager, Policies, you own product strategy and execution for Okta's authentication policy roadmap. The Policies team owns how Okta evaluates risk and context to decide when, how, and whether a user, machine, or agentic identity is allowed to authenticate and stay authenticated. This includes Application Sign-On Policy, Global Session Policy, Okta Account Management Policy (OAMP), and Device Signal Collection Policy as well as the underlying Policy Framework, Policy API, and Auth Pipeline that power them. Policies is foundational to the entire Okta product portfolio as it's the decision layer that sits between every authentication event and the security experience a customer wants for their end users. You'll work closely with engineering, design, other product teams, and cross-functional stakeholders across Okta's platform to ensure policy capabilities evolve strategically, including how policy changes are rolled out and managed at scale (change management / identity operations). What You'll Do Own roadmap and prioritization for your product area, balancing customer requests, platform needs, and market/strategic differentiation Collaborate with design and engineering to define, scope, and ship policies that have best-in-class user experience while meeting the security needs of Okta customers Drive product direction for the Policy Framework, Policy API, and Auth Pipeline that underpin every policy evaluation acros

We are seeking a Senior Software Engineer with strong infrastructure expertise to design, build, and operate the next generation of our enterprise Observability, Automation, and AI-driven Reliability Platform. This role will build highly scalable distributed systems and platform services spanning Storage, Compute, Network, VMware, OpenShift, and bare-metal infrastructure. The engineer will help transform infrastructure operations from reactive monitoring and manual remediation to proactive, predictive, and AI-driven autonomous operations. What You Will Be Doing: Design, build, and operate distributed software platforms for enterprise observability, telemetry, automation, and infrastructure reliability at large scale. Develop reusable platform services, APIs, automation frameworks, and control planes that enable self-service, reduce operational toil, and automate infrastructure operations across multiple engineering teams. Build scalable telemetry and event-processing systems spanning metrics, logs, traces, events, topology, and alerts, with the performance and efficiency to process billions of infrastructure signals. Build intelligent and AI-native reliability capabilities, including agentic workflows for anomaly detection, forecasting, root-cause analysis, automated debugging, and closed-loop remediation. Drive technical architecture and engineering direction across Storage, Compute, Network, and Platform domains, solving complex and ambiguous problems that span multiple teams. Engineer for production at scale, with strong focus on software quality, scalability, security, performance, observability, maintainability, and operational readiness. Provide technical leadership and mentorship, influence engineerin

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary We are seeking a highly experienced Principal / Director-level Full-Stack Software Development Engineer to join our Digital Caremark organization and lead the architecture, design, and delivery of next-generation digital solutions. This role spans AI-enabled applications, scalable digital platforms, and enterprise integrations that power critical healthcare and pharmacy experiences. This is a senior technical leadership role for a hands-on engineer who can operate across the full stack—from intuitive front-end applications to resilient backend services—while setting architectural direction, influencing engineering standards, and mentoring teams. The ideal candidate combines deep technical expertise, platform thinking, and strong collaboration skills to build secure, scalable, API-first solutions in a highly regulated environment. Key Responsibilities: Architecture & System Design • Define and drive architecture for large-scale distributed systems and digital platforms • Lead design reviews and set architecture standards and best practices • Champion API-first, microservices, and event-driven architecture patterns • Ensure systems meet scalability, reliability, security, and compliance requirements • Balance performance, cost, and speed in technical decision-making Fu

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role You will build the low-level device runtime that turns compiled programs into efficient, functional and performant execution on OpenAI’s custom AI accelerator. This software will schedule kernel launches, manage device memory and address spaces, coordinate synchronization, and expose reliable abstractions to higher-level runtimes and frameworks. You will work at the boundary of software and hardware, partnering with compiler, kernel, architecture, verification, and silicon teams to define interfaces and validate behavior. You will also use and improve event-based, cycle-accurate simulation to develop runtime capabilities before silicon is available, diagnose performance and correctness issues, and guide hardware-software co-design. In this role, you will: Design and implement the low-level device runtime for OpenAI custom silicon. Build kernel-launch scheduling, command submission, queueing, dependency tracking, and completion handling. Manage device memory spaces, allocation, virtual-to-physical mappings, data movement, and lifetime across concurrent workloads. Implement synchronization primitives, events, barriers, streams, and ordering guarantees that are correct and efficient. Define clean interfaces between the runtime, drivers, firmware, compiler-generated code, kernels, and higher-level execution systems. Use event-based, cycle-accurate simulators to develop, validate, debug, and performance-tune runtime behavior before and after silicon availability. Di

NVIDIA is looking for an experienced software engineer with infrastructure experience to become a senior member of the Cloud Foundations Automation - Development Team. We build and manage the automation ecosystem supporting NVIDIA's GPU Cloud and NVIDIA SuperPod deployments. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most hard-working and dedicated people on the planet working for us. If you're creative and autonomous, we want to hear from you! What you'll be doing: Developing software to enable efficient network design, deployment and day 2 management. Building product focused software solutions, used by internal and external customers. Helping us as we transform our workflows and organization into a centrally orchestrated configuration management framework, operating at scale across geographies. Owning and driving integrations with various service APIs such as Cloud Service Providers, to automate creation of environments and auto populate data sources in turn. Building on open source software, designing and implementing data structures and UI interfaces to automate processes from equipment purchase to device config generation to deployment to operations. Streamlining deployment mechanisms and life cycle operations Developing modern service architectures around streaming data and event pipelines. Working with infrastructure domain experts on true, zero touch deployment solutions and utilizing best of breed high performance computing management solutions. Be a proactive problem solver, looking out for new opportunities to improve our services and customer experience. Communicate readily with your peers across the organization, b

Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey – from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? Fin's Customer Education team drives customer onboarding, adoption, and transformation at scale through on-demand and live educational experiences. Live programming has the opportunity to genuinely connect with customers in unique ways that cut through the noise to build relationships that drive adoption. As a result, we’re looking for someone who can make this program exceptional. As our Senior Customer Education Manager, Live Programs, you'll own the live training program end-to-end: designing the curriculum, building and delivering the content, running our flagship Fin Academy Live event, and supporting strategic customers alongside our Deployment Services team. This is a high-visibility role where you'll regularly present to users, admins and C-suite audiences, and shape how Fin shows up in the room. This role requires travel to support live events and customer engagements throughout the year. What will I be doing? Own the live education program end-to-en

Technical Services operates with a global footprint, maintaining a presence in key cities such as New York City, Toronto, Austin, Palo Alto, Vancouver, Sydney, Gurgaon (India), Tel Aviv, Dublin, and Buenos Aires. Our commitment to exceptional customer satisfaction is underpinned by a 24x7x365 'follow-the-sun' support strategy, executed by dedicated regional teams across the Americas, EMEA, and APAC. We are seeking a visionary leader to join the MongoDB Technical Services organization to oversee regional teams of MongoDB Premium Services Support Engineers. These specialists possess deep expertise in resolving challenges related to core database functionality and troubleshooting complex cloud environments to facilitate high-scale customer success. For this hybrid role, we are specifically interested in meeting candidates located in Palo Alto, CA or San Francisco, CA. Core Responsibilities of the Team Diagnosing and resolving performance issues: Identifying, troubleshooting, and fixing performance-related bottlenecks Advising on design and architecture: Providing technical guidance on architectural design, including replication and global data distribution, to ensure low latency, high availability, and compliance with data sovereignty requirements Serving as a customer advocate: Advising on upcoming roadmap features and articulating strong business cases to drive the swift resolution of critical issues Engaging in global collaboration: Partnering with regional peer teams and sharing account context to anticipate client needs before an event, ensuring a seamless and elevated level of global service Fostering a culture of continuous learning: Growing technical skills through training participation, maintaining industry awareness, and developing specialized internal training to share subject matter expertise more broadly across the team Enhancing case-deflection strategies: Increasing case-deflection numbers by regularly contributing to the knowledge base, distributing te

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. About our team The Brand and Creative team at Okta is a growing group within Marketing, composed of creatives, strategists, producers and marketing managers alike. Our team’s focus is to lead the brand, tell powerful stories and inspire creative excellence. As a partner to cross-functional teams across all of Okta, we tie our goals to our most important company initiatives, driving towards shared KPIs, strategies and processes to unify and push the brand and business forward. About this role We are looking for a passionate Digital Art Director to drive the creative experience on oktane.com with a knack for creating innovative, product storytelling digital experiences. You are an expert in digital and web properties, love solving product stories through visual and UI designs, enjoy working with design systems, and collaborating with cross-functional teams to get projects launched. Reporting into the Creative Director of Digital, you will be challenged to deliver design solutions against key digital marketing briefs. You will help craft innovative website experiences throughout the event lifecycle to showcase a world class event experience, always advocating for the brand and taking pride in beautiful, inspiring, and innovative work. This role will be instrumental in collaborating across the Creative Events, Event Marketing, and Digital teams to create effective and smart solutions that meet the brief requirements while pushing creative innovation