Events Specialist Jobs

Support Engineer at Cleo (India) Bengaluru Cleo is a cloud integration technology company focused on business outcomes. Every day, we ensure that each one of our 4,000+ customers' potential is realized by delivering solutions that make it easy to discover and create value through the connections and integration of enterprise applications supporting critical workflows. By providing the industry’s most complete and flexible integration offerings, we are helping our clients build trusted relationships across their partner ecosystems today, while providing all the control and visibility they need to advance their business tomorrow. In a nutshell, Cleo is a rapidly growing category leader in ecosystem integration software and we have experienced tremendous growth over recent years. Responsibilities will include but not be limited to: Mandatory Skills: Experience with EDI mapping (EDI to XML, EDI to flat file etc.) Good understanding of ANSI X12 and EDIFACT standards. Experience with XML, flat files and spreadsheets. Experience with transfer protocols such AS2, FTP/s, SFTP and HTTP/s. Team player with good written and verbal communication skills. Analytical and problem-solving skills. Desired Skills: Exposure to basic API concepts Exposure to basic database concepts and SQL queries. Preferred Skills: Experience in B2B/EDI Support role Experience in Cleo Products Key Responsibilities: Manage the CIC environment within Cleo B2B Cloud systems. Respond to incidents and/or event-driven alerts and troubleshoot customer issues. Investigate data related EDI issues and inform the customers with the root cause. Bug-fixes for the EDI translation issues identified in production. Trading partner on-boarding and creation of SFTP/AS2 setups. Work effectively with other internal departments to ensure the highes

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Who We Are: Shape the future of Roblox’s virtual economy. The Economy ML team is building the machine learning backbone that powers Roblox’s Marketplace, Developer Monetization, and Payments ecosystems. From intelligent pricing and personalized storefronts to dynamic layout optimization and avatar understanding, we’re reimagining how the Roblox economy drives user engagement, monetization, and creator success at scale. As a Principal Software Engineer (Data Systems) , you will architect, build and deploy high-scale, reliable real-time and batch data systems for personalization, search and recommendation across various product surfaces in Marketplace, Developer Monetization and Payments. You will be involved in key data projects from architecting event taxonomies and logging interfaces to real-time feature serving across multiple search and recommendation surfaces. What You’ll Do Act as data engineering lead for Economy ML, setting standards for batch vs streaming feature pipelines, table design, observability, and documentation used across the Economy group. Work as a hands-on contributor on our data systems to power content recommendation, search and personalization across Economy product

Senior Azure Data Engineer ( Databricks ) Location: London (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent Engineer advanced data solutions at scale in a world-class consulting environment. The Role As a Senior Azure Data Engineer ( Databricks ) at Capco, you will play a hands-on role in designing, building, and deploying scalable and secure data engineering pipelines using the Databricks platform on Azure . You'll partner with clients to understand their data needs and develop innovative solutions that drive business transformation. You'll also contribute to engineering best practices and continuous improvement across cross-functional teams. Databricks platform on Azure . You'll embrace AI-enabled ways of working, using approved AI and automation tools where appropriate to improve engineering productivity, accelerate delivery, and enhance solution quality while applying sound engineering judgement and responsible AI practices. What You'll Do Design and develop robust data pipelines using Delta Lake, Spark Structured Streaming, Unity Catalog, and Azure -native services. Build real-time, event-driven solutions using technologies such as Kafka and Azure Event Hubs, applying AI-enabled engineering approaches where appropriate to improve delivery efficiency. Develop and maintain CI/CD pipelines using Azure DevOps, Jenkins, GitHub Actions, and modern DevOps practices to support reliable deployments. Collaborate with clients and multidisciplinary teams to translate business requirements into scalable, production-ready data solutions. Champion clean code, data lifecycle optimisation, engineering best practices, and the responsible use of approved AI tools and automation to improve collaboration and delivery. What We're Looking For Proven hands-on experience with the Databricks platform, including orchestration and enterprise-scale Azure data engineering solutions. Strong technical skills in Python , PySpark , and SQL, with experience wor

Senior Data Engineer – AWS Location: London (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent Engineer future-ready data platforms that power financial transformation. The Role We’re looking for a Senior Data Engineer with AWS to join our growing team of engineering experts driving next -generation transformation for Tier 1 financial services clients. You’ll play a pivotal role in designing, building, and deploying cloud-based data pipelines. Working across greenfield projects and enterprise-scale platforms, your work will directly impact how data is ingested, transformed, and served at scale across the financial services industry. You'll also embrace AI-enabled ways of working, using approved AI and automation tools where appropriate to improve engineering productivity, accelerate delivery, and enhance solution quality while applying sound engineering judgement and responsible AI practices. What You’ll Do Design and build end-to-end data pipelines leveraging AWS -native services and modern data architectures. Collaborate with clients to gather requirements, define technical solutions, and deliver production-grade systems that meet business needs. Apply AWS Well-Architected Principles, CI/CD practices, and AI-enabled engineering approaches to deliver scalable, secure, resilient, and high-quality solutions. Develop robust, tested, and fault-tolerant data engineering solutions while promoting engineering best practices and data governance. Mentor junior engineers, contribute to knowledge sharing, and encourage the responsible use of approved AI tools and automation to improve collaboration and delivery. What We’re Looking For Strong proficiency in Python , Scala , or Java with hands-on experience in Big Data technologies including Spark , Hadoop , or similar distributed processing frameworks. Practical experience building real-time event streaming pipelines using technologies such as Kafka , Spark Streaming, or Amazon Kinesis within AWS en

About us Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor and Clay Bavor . Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you'll do Implement Go-to-Market software for our marketing, sales, and agent development teams Design and build the automated workflows, integrations, and AI-powered systems that turn signal into pipeline, across enrichment, scoring, routing, and outbound activation Own our enrichment infrastructure end-to-end: the pipelines that take a new signup, demo request, or event attendee list and return a fully enriched, scored, Salesforce-upserted record across Clay, ZoomInfo, Cognism, and LLM-powered sources Build AI agents and AI-powered internal tools that compound sales team output — account research, call summarization, RFP and security questionnaire response, proposal generation, and Slack-accessible agents that surface account intel on demand Build an

Durée : 6 mois – Temps plein Période : à partir de mars 2026 Localisation : Paris 9e Encadré par : la responsable communication de l’événement À propos d’Artefact Open Innovation Chez Artefact Open Innovation, nous sommes des entrepreneurs convaincus que la compétitivité, l’efficacité et la transformation des grandes organisations se gagnent en développant de nouvelles formes de collaborations et une compréhension des enjeux liés à l’adoption des nouvelles technologies – notamment DATA et IA. Pour cela, nous partageons et propageons l’esprit entrepreneur avec des modes de collaboration plus agiles à l’échelle : Des individus , à travers des programmes de formation et l’accélération de projets d’innovation Des équipes , grâce à des expériences d’innovation participative et l’adoption de nouveaux modes de collaboration Des écosystèmes et des organisations , en créant et animant de larges communautés ouvertes (open innovation), mobilisées autour d’objectifs communs Dans ce cadre, nous recherchons un·e stagiaire communication orienté·e contenus digitaux , pour accompagner la chargée de communication au sein du pôle événementiel & communication sur la production et la diffusion des contenus avant, pendant et après l’événement France Quantum et la stratégie autour de l'événement Adopt AI - Grand Palais. Missions En soutien direct à la chargée de communication, vous interviendrez sur un large spectre de missions : Création de contenus Création de visuels sur Canva Montage de courtes vidéos dynamiques pour les réseaux sociaux (reels, stories, teasers, formats événementiels) Rédaction de posts pour valoriser les speakers, partenaires et écosystèmes (recherche, industrie, tech, innovation…) Déclinaison des contenus selon les temps forts du projet (annonces, teasing, live event, post-event) Community management Programmation et modération des publications sur LinkedIn Veille et participation à l’animation des communautés Suivi des performances des contenus et remontée d’in

We are looking for a Senior/Staff Software Engineer to lead the development and scaling of our cloud services and APIs that handle ride hailing for Zoox’s production-grade robotaxi service. These services include dispatch, routing, payments, mobile APIs, telemetry processing, service metrics and more. In this role, you will: Design and build scalable, efficient, and robust backend systems for Zoox’s ride-hailing service Own core functionality such as payments, fleet dispatch, service management Make significant contributions to technical roadmaps, development plans and execute on them effectively. Uphold engineering excellence by demonstrating best practices in software development including design review, code review, software testing and documentation. Qualifications 8+ years of cloud software experience Experience running and optimizing production-grade systems for maximum efficiency and resilience. Extensive experience with the design, implementation and operation of backend microservices. Proficiency with Kotlin or Java, REST APIs and SQL. Experience running production services using cloud infrastructure such as Kubernetes and Docker Bonus Qualifications Experience with Spring Boot based microservice architectures, PostgreSQL, Elasticsearch Experience in transportation, robotics, logistics, or autonomous vehicles. Experience with event driven architecture and Kafka. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you nee

Overview Role: Quantitative Software Engineer Lead 5 days a week in NYC HQ Base salary: $225k-375k Equity: Competitive Initial Equity Package + refreshers 4+ Years of Experience About Pillar Pillar is building the next-generation commodity risk management stack for the $10T physical economy. We combine real-time marketdata with AI-powered exposure modeling and automated trade generation to arm operators with precise protection from volatility. From instant execution to continuous monitoring, alerts, and recommendations, Pillar turns complex market risk into a fully managed, always-on hedging engine. We were founded in 2023 by the youngest macro market-maker at Barclays and a trading systems engineer at Coinbase, and have raised over $20M in capital from Andreesen Horowitz (a16z), Crucible Capital, Neo, Crossbeam Venture Partners and more. What You’ll Do Architect the future of commodity trading infrastructure: Lead development of our trading system as we start scaling in new markets and onboarding new customers. Engineer at the edge of performance: Build and optimize low-latency distributed systems, ensuring our platform minimizes risk and gets optimal prices on fills. Build and mentor a world-class team: Shape our engineering culture, hire and mentor talented engineers, and collaborate directly with founders to solve some of the most challenging problems in financial technology. Own critical systems end-to-end: From market data ingestion to order execution and risk monitoring, you'll have autonomy over mission-critical infrastructure that keeps our clients' businesses running 24/7. What We are Looking For Deep understanding of data structures, algorithms, design patterns, and core systems fundamentals. Extensive experience architecting and building complex financial systems with a focus on building and scaling low latency event driven distributed systems Strong ownership and teamwork, ability to work collaboratively to unblock work, drive momentum, and make sure im

Role Overview We’re looking for a Principal Software Engineer to help shape the next generation of our enterprise SaaS platform. You’ll combine deep hands-on engineering with technical leadership, helping teams design scalable systems, modernize our platform and solve complex engineering challenges. You’ll work across backend, frontend, cloud and AI technologies while defining technical direction and staying close to the engineering work. A key part of this role will be driving the adoption of AI-native software engineering practices, including AI-PDLC (AI-enabled Product Development Lifecycle) and Spec-Driven Development, using tools such as Cursor, Claude Code, GitHub Copilot and other AI coding and agentic development tools. This role is ideal for someone who enjoys solving complex problems, designing systems at scale, influencing architecture, establishing modern engineering practices and mentoring experienced engineers. Here’s a breakdown of what you’ll do Define and evolve the technical architecture of our SaaS platform and create high-level and low-level designs (HLD/LLD) for complex systems. Translate business and product requirements into scalable technical designs, implementation plans and engineering deliverables. Establish and drive Spec-Driven Development, using structured requirements, architecture specifications, API contracts, data models and acceptance criteria to guide development. Drive adoption of AI-PDLC, integrating AI across requirements, architecture, implementation, testing, code review, deployment and operations. Establish AI-assisted development workflows using Cursor, Claude Code, GitHub Copilot and similar AI coding agents, while maintaining engineering quality, security and architectural consistency. Design secure, scalable and reliable distributed, microservices and event-driven systems. Build and evolve backend services and APIs primarily using Node.js/TypeScript and Python, while remaining open to other modern technology stacks. Cont

About Us OpenFX is on a mission to move money as freely as data, unrestricted by time zones, banking hours, or legacy systems. We are building the infrastructure that will power the next generation of cross-border payment systems for institutions. The team's execution has been exceptional, and we're scaling at a remarkable pace. Our stellar early team comes with experience in companies like J.P . Morgan, Goldman Sachs, FalconX, Paypal, Affirm, Polygon, Kraken, Nium & others. We’re backed by Accel, Lightspeed, NfX, and other top-tier investors. Role Overview We are seeking an exceptional Head of Marketing to lead OpenFX’s global marketing strategy and execution. This role owns the brand narrative, demand generation engine, product marketing, and industry presence that will position OpenFX as the leading institutional FX and cross-border payments platform worldwide. The ideal candidate is both strategic and execution-oriented — comfortable building scalable systems for awareness, acquisition, and lifecycle engagement in a fast-moving fintech. Key Responsibilities: Brand & Market Leadership Establish OpenFX as the most trusted and recognizable brand in institutional FX and cross-border payments. Develop and execute a global brand strategy across thought leadership, research, and media channels. Build a strong executive voice through articles, reports, awards, and partnerships that highlight OpenFX’s role in transforming institutional liquidity. Grow engagement across owned and earned channels, driving measurable increases in reach and brand recall. Demand Generation & Growth Marketing Build a high-performance inbound engine that drives qualified enterprise leads and pipeline contribution across regions. Develop and manage multi-channel campaigns that span content, digital, and event marketing. Maintain effective ROAS and marketing budget that shows measurable results. Partner with Sales and Product teams to refine targeting, messaging, a

DataHub is an AI & Data Context Platform adopted by over 3,000 enterprises, including Apple, CVS Health, Netflix, and Visa. Innovated jointly with a thriving open-source community of 13,000+ members, DataHub's metadata graph provides in-depth context of AI and data assets with best-in-class scalability and extensibility. The company's enterprise SaaS offering, DataHub Cloud, delivers a fully managed solution with AI-powered discovery, observability, and governance capabilities. Organizations rely on DataHub solutions to accelerate time-to-value from their data investments, ensure AI system reliability, and implement unified governance, enabling AI & data to work together and bring order to data chaos. The Challenge As AI and data products become business-critical, enterprises face a metadata crisis: No unified way to track the complex data supply chain feeding AI systems Engineering teams struggling with data discovery, lineage, and governance Organizations needing machine-scale metadata management, not just human-browsable catalogs Why This Matters This is where infrastructure meets impact. The metadata layer you'll build will directly power the next generation of AI systems at massive scale. Your code will determine how safely and effectively thousands of organizations deploy AI, affecting millions of users worldwide. The Role We're looking for an exceptional Staff, Backend engineer to lead development of DataHub's Platform framework – the core that connects diverse data systems and powers our metadata collection capabilities. You'll Build Scalable, fault-tolerant ingestion systems for enterprise-scale metadata Clean, intuitive APIs for our connector ecosystem Event-driven architectures for real-time metadata processing Schema mapping between diverse systems and DataHub's unified model Versioning systems for AI assets (training data, model weights, embeddings) You Have 8+ years building production-grade distributed systems Advanced Python and API design ex

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Big Data Infrastructure operates the critical infrastructure that powers the batch data processing at Stripe. The team supports a variety of use cases, including Payment, Ledger, ML, Fraud Detection, Product Analytics, Regulatory Reporting, Financial Data Reconciliation, and externally facing products like Radar and Sigma. As an example of the scale, the team's systems serve hundreds of teams, thousands of workflows, 100,000+ task executions, O(billion) transformations, and moving terabytes of data processing over 1 GB/second every day. Our users inside Stripe include other engineering teams, Data Scientists, Sales and Operations, Finance, etc. Data Orchestration builds and operates the time-based and event-based orchestration infrastructure that powers and accelerates batch data pipelines. The team operates on a wide range of tech stacks including Airflow, Spark, SQL, Kafka, Flink, Hive MetaStore, Trino, Pinot, Python, Java, Scala, S3, and Iceberg. What you'll do As a Software Engineer on this team, you'll design and build infrastructure that powers batch data processing at Stripe. Responsibilities Design, build, and maintain next-generation and first-generation versions of key Data Platform products, with an emphasis on usability, reliability, security, and efficiency. Design ergonomic APIs and abstractions that build a great customer experience for internal Stripes, that will in turn enhance the experience of millions of Stripe users.

At Kargo, our mission is to build a connective tissue between the physical world of freight and the digital ecosystem used to manage it. We believe that advancements in smart infrastructure are critical to enabling a safer and more efficient future for logistics. Our loading dock sensor platform verifies all incoming and outgoing freight, aggregating data that enables shippers and carriers to efficiently manage dock operations, switch out suppliers and understand material flow in real time. We care deeply about delivering the best solutions for our customers. As a member of the Kargo team, you will have the opportunity to develop and deploy tomorrow’s hardware & software solutions and help revolutionize logistics. Responsibilities Owning content strategy and telling the Kargo story, engaging our audience and scaling the way Kargo connects with the world across channels (e.g. email, social, website, blogs, and content-driven campaigns). Manage the full lifecycle of content distribution from concept and copywriting, to scheduling, publishing, and performance optimization. Create a variety of high quality content: case studies, SEO posts, sales collateral, presentation decks, webinar decks/scripts, blog posts, landing pages, newsletters, event and webinar copy, and more. Capture customer success stories highlighting the impact of their partnership with Kargo. Maintain a library of up-to-date materials (one-pagers, email templates, ad copy, pitch decks, etc) to support sales and marketing. Track, test, iterate and optimize campaign messaging based on performance and feedback. Experience 5+ years experience in content marketing, copywriting, or related experience. Excellent writing and storytelling skills: able to make complex ideas simple and compelling. Ability to think creatively and bring out of the box ideas. Ability to work under tight deadlines while being flexible and responding to changing requirements. Bachelor's Degree in Marketing, Communications, E

About the Team ValMo is Meesho's logistics and supply chain organization, responsible for building India's most cost-efficient, reliable, and scalable fulfillment network. From first-mile pickup to last-mile delivery and reverse logistics, ValMo powers millions of shipments every month for small businesses across the country. As we scale, the complexity of our network increases exponentially. ValMo operates at the intersection of technology, operations, and partner ecosystems — where execution precision and systems thinking are critical to prevent cascading (domino) failures across the network. About the Role The Control Tower is where the stability, reliability, and cost-efficiency of ValMo's pan-India network is owned end-to-end. This is a deliberately generalist role in Fulfilment & Experience - your mandate is defined by an outcome, not a fixed function. Put simply: you are the person we point at the highest-leverage problem threatening the network, and you figure it out from first principles. The specific problem changes with what the network needs. In one quarter you might be redesigning the topology of a region; in the next, rebuilding the capacity-planning engine, running a structural cost-out program, firefighting an RTO or CX spike, or standing up readiness for a peak event - including problems that don't yet have an owner. What stays constant is the accountability: keep the network stable, predictable, and cost-efficient no matter what breaks or scales. What you will do 1. Own network stability (the constant) This is the through-line of the role regardless of what else you pick up: Set up and govern the automated dashboards, early-warning frameworks, and control-tower rituals tracking end-to-end SLAs, TAT, RTO, and cost health across first-mile, middle-mile, and last-mile. Detect real-time and structural exceptions across the linehaul and sorting ecosystem, and trigger rapid-response protocols <em

Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done. At Airtable, we're passionate about democratizing software creation — empowering anyone to build powerful, flexible tools without writing code. With our shift to an AI-native platform, customers can now generate full apps and deploy AI agents directly into their workflows. Data engineering plays a critical role in this evolution by delivering the insights our teams rely on to improve user experience, measure agent impact, and understand how the business is performing at scale. As a Software Engineer, Data at Airtable, you'll make an enormous contribution to our data engineering efforts. You'll design and own mission-critical data pipelines to enable decision-making, partner with company leaders to create scalable data solutions, and launch innovative alerting and visualization solutions. The Team Our team is embedded in how Airtable understands itself as a business, working closely with Data Science and Analytics. What's unusual here: the platform you're instrumenting is the same one your customers use every day. When Airtable ships a new AI agent capability, you're among the first to wire it up, measure its adoption, and influence what gets built next. Product & AI Data Infrastructure This team builds and owns the foundational data pipelines that power product analytics across Airtable. As Airtable shifts to an AI-native platform, our work increasingly involves instrumenting and measuring AI product usage, building event pipelines for AI agents, surfacing AI-native adoption metrics in core business tables, and developing AI-powered data discovery tooling, including vector search over our catalog metadata. We partner closely with product analytics, product engineering, and data infrastructure to turn business question