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About us We were founded in 2017 with the motivation to reach people globally by giving them unique and unforgettable experiences with disruptive products. Our games have reached over 3.5 billion people. This could only be done by gathering exceptional talent and creating a culture to enhance team spirit and creativity. We are looking for a creative 2D Artist to bring new worlds to life and shape the visual direction of an upcoming IP-centric mobile game. What you’ll be doing Creating unique visual concepts Designing concepts for characters, environments and props for a brand-new IP Producing ready asset creation Collaborating closely with art and product teams Desired skills and experiences Excellent design and drawing skills, highlighting the effective use of color, form, light and composition Proficiency in Photoshop or Illustrator Ability to manage time effectively and deliver on deadlines Solid knowledge of design, color, composition, and typography Passion for Match Villains and mobile games in general What makes our team so unique Feedback and transparency are at the heart of everything we do Exceptional and passionate people/team members Every idea counts Never-ending learning We never stop asking the questions “why” and “how” Our Perks Team events and trips Great food On-site gym Full health benefits Compensation for paid military service Relocation support Good Job Games Coin Program that lets you have unforgettable experiences (e.g. Going on a cruise trip to Norway or seeing the Northern Lights) This is an on-site role in Istanbul, Sarıyer. We do not offer a fully-remote working option.

Are you ready to be part of an ambitious team driving digital transformation at NVIDIA? As a Sr. Staff Business Systems Analyst, you will play a pivotal role in crafting intuitive, high-impact experiences that support our core business functions. This outstanding opportunity offers the chance to collaborate with global partners and influence decisions that determine our competitive edge! What you’ll be doing: Design and scale AI-powered workflows, agentic experiences, and internal products that simplify work, surface relevant context, and enable employees to complete tasks more effectively across enterprise tools. Drive internal go-to-market and adoption strategies for digital and AI capabilities, including persona-based value propositions, enablement, communications, feedback loops, and outcome measurement. Apply a product mindset to develop intuitive, simple, and high-impact experiences, starting with the user problem and connecting solutions to meaningful business outcomes. Collaborate with global partners, architects, engineers, and business leaders to define product vision, prioritize capabilities, and develop world-class systems that support NVIDIA’s core business functions. Use data, user feedback, and qualitative insights to identify opportunities and make informed decisions, leveraging strong storytelling skills to build alignment and influence priorities. Build trusted relationships with collaborators at all levels; facilitate productive discussions, navigate ambiguity, and negotiate trade-offs across user needs, technical constraints, timelines, and business value. Champion employee experience and user-centric development by continuously gathering feedback and measuring adoption, usability, satisfaction, and business impact to evolve solutions after launch. What we need to see : Bachelor’

We are looking for a Senior Director of Platform Engineering to lead the strategy, architecture, execution, and organizational development of our Platform Engineering function. This role is accountable for the foundational capabilities that enable engineering teams to build, deploy, operate, secure, and scale software efficiently and reliably. The Senior Director will own the evolution of our internal developer platform and shared engineering infrastructure, bringing together cloud, Kubernetes, CI/CD, observability, reliability, security, developer experience, and automation into a coherent platform strategy. The role requires a combination of deep technical judgment, organizational leadership, and platform product thinking, with the ability to operate effectively with senior engineers, engineering leaders, security, architecture, finance, and executive stakeholders. Key Responsibilities Define and own the multi-year Platform Engineering strategy, architecture, and roadmap , aligned with company and engineering objectives. Lead the evolution of the Internal Developer Platform , creating paved roads and self-service capabilities that reduce cognitive load and accelerate software delivery. Own strategic direction across cloud infrastructure, Kubernetes, networking, CI/CD, observability, reliability, Infrastructure as Code, platform security, developer tooling, and FinOps. Lead and develop a high-performing organization of Engineering Directors, Managers, Principal/Staff Engineers, and platform teams. Establish clear ownership, engineering standards, architectural principles, governance mechanisms, and measurable platform outcomes. Drive improvements in developer productivity, delivery performance, reliability, scalability, security, and infrastructure efficiency . Ensure platform services are designed for high availability, fault isolation, scalability, disaster recovery, and controlled blast radius. Own Security Engineering to embed secure-by-default, policy-as-code,

As a Customer Success Manager, you are the trusted advisor helping a high volume of customers navigate their journey on MongoDB using proactive, scalable engagement strategies initiated by health signals and journey milestones. You’ll be responsible for maximizing customer lifetime value and success for a diverse portfolio of thousands of expanding MongoDB customers, acting as a strategic connector between your customers and providing the right help at the right time to achieve their unique business goals. You’ll drive healthy adoption, customer retention, revenue realization, and advocacy at scale. You will innovate, navigate ambiguity, and build scalable programs and processes to deliver real, measurable impact where your customers need it most. We are looking for Mandarin speaking candidates who are based in Hong Kong for our hybrid working model. Key Responsibilities Customer Advisory Lead and scale effective customer onboarding by leveraging product adoption telemetry to monitor early deployment health, proactively identify and mitigate configuration risks, and guide customers through prescriptive best practices, architectures, and operational strategies that establish a strong technical foundation and accelerate time-to-value and achieve customers’ business outcomes with MongoDB Drive ongoing consumption and value realization through a mix of 1:1 and 1:many engagements (e.g., targeted campaigns, webinars, office hours), using data-driven insights to identify trends, opportunities, and risks across a broad customer portfolio and recommending optimal solutions, features, and adoption paths to achieve customers’ business outcomes with MongoDB Account & Portfolio Management Own elements of the account plan that drive customer maturity and lifetime value, retention, and revenue realization. Proactively manage thousands of customers across various stages of maturity by leveraging 1-to-many methodologies and tools to balance individual customer impact with scalab

About Us: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. Role Overview We are looking for a high-ownership Project/Program Manager to lead AI-led transformation initiatives across the Lending Collections ecosystem. This role sits at the intersection of Business, Product, Technology, Data, and AI. The ideal candidate should be equally comfortable understanding a business problem, translating it into a structured product/technology requirement, driving engineering execution, and taking the initiative all the way to production and measurable business impact. This is not a traditional project-management role. We are looking for someone who can own the problem statement, bring structure to ambiguity, drive stakeholders, and turn AI opportunities into production-grade solutions. Key Responsibilities 1. Business Requirement & Problem Discovery Work closely with Business and Collections stakeholders to identify operational pain points, automation opportunities, and AI use cases. Conduct requirement-gathering workshops and translate business needs into clear, actionable requirements. Challenge requirements where necessary and bring structure to ambiguous problem statements. Understand lending collections journeys, customer touchpoints, workflows, operational processes, and relevant business metrics. 2. BRD, Workflow & Solution Documentation Create and maintain detailed BRDs, functional requirements, user stories, process flows, workflows, and solution documentation. Define end-to-end process journeys, including inputs, outputs, decisioning logic, exceptions, dependencies, and integrations. Convert business requirements into granular user stories with clear acceptance criteria. Ensu

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 The Quality Engineering team helps Airbnb build high-quality software efficiently. We enable Airbnb engineers to build highly testable systems by building and using tools leveraging AI. We own and continuously improve product test cases, automation coverage, test automation tools, environments, frameworks. We navigate Airbnb’s massive codebase identifying weak spots, and help design and implement testable fault-tolerant systems. The Difference You Will Make Help Airbnb leverage AI to redefine and accelerate Quality Engineering As an Automation Engineer, you will help us meet this challenge by building and maintaining automation coverage for features and releases. You will work directly with the product engineering team to develop and maintain our test tools, write and test product code, participate in design reviews to architect testable systems, and guide designs and code to enhance modularity and testability. You are eager to understand complex systems top to bottom and thrive working across technologies and codebases. In addition, you excel at working through ambiguity, concept validation, and implementing best-in-class solutions. As a global company, our mission is to develop and maintain the necessary quality engineering processes that scale to meet the needs of both our external customers and internal teams. We strive to ensure that our product and support workflows deliver a seamless experience for guests, hosts, and support agents. A Typical Day Build, maintain, and effectively utilize automated tests, collaborate closely with engineering teams to ensure robust test cov

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role In this role, you'll lead a team of Account Executives driving the adoption of safe, frontier AI with top enterprises across Korea. This role is critical to Anthropic's APAC expansion. You'll leverage your leadership expertise to propel revenue growth while developing a high-performing team. Working closely with Applied AI Engineering, Product, GTM, and Marketing teams, you'll help enterprise customers deploy AI solutions and refine our market positioning for Korea. The ideal candidate will have a deep understanding of Korean business culture, a passion for developing people, and the ability to navigate Korea's relationship-driven, conglomerate-centric enterprise sales environment. Key responsibilities Build and lead a high-performing team of Account Executives, providing coaching, mentorship, and guidance to drive team success Develop and implement sales strategies tailored to enterprise procurement cycles and budgeting processes to meet and exceed team revenue quotas Create and maintain accurate forecasts, pipeline management, and reporting while ensuring data integrity in CRM systems Partner with Enablement to develop training programs and resources that accelerate AE ramp time and effectiveness, with focus on Korean enterprise buying cycles and decision-making processes Work closely with Applied AI Engineering teams to demonstrate technical capabilities pre-sales and optimize solutions post-sales Enable your team to have credible technical conversations about AI applications while maintaining appropriate guardrails Build strong partnerships across the organization to drive strategic initiatives Identify and execute

At FourKites we have the opportunity to tackle complex challenges with real-world impacts. Whether it's medical supplies from Cardinal Health or groceries for Walmart, the FourKites platform helps customers operate global supply chains that are efficient, agile and sustainable. Join a team of curious problem solvers that celebrates differences, leads with empathy and values inclusivity. As a Senior Data Scientist, you will build and own machine learning models that power core prediction problems across the FourKites platform — including ETA/ATA forecasting and message-based status extraction. You will work end-to-end, from data pipeline to production deployment and monitoring, turning noisy real-world logistics data into models that run at scale and directly move the needle on customer outcomes. You will work closely with product, engineering, and operations teams, hands-on building and shipping models yourself while also guiding the technical direction of other data scientists on the team. What you'll be doing: Design, build, and productionize ML models for problems like ETA/ATA prediction, using regression, classification, and time-series forecasting techniques Develop NLP/LLM-based extraction pipelines for message-based ETA and status updates (text extraction, entity recognition) Own models end-to-end: data pipeline → training → deployment → monitoring → retraining Work with noisy, real-world logistics and supply chain data (GPS pings, check calls, carrier data) rather than clean, pre-processed datasets Diagnose gaps between offline evaluation performance and live production accuracy, and drive fixes Build and maintain automated training/retraining pipelines using orchestration tools such as Airflow Set up and maintain model monitoring and observability (e.g., Grafana) to catch drift and degradation proactively Replace manual or rule-based processes with ML-driven automation (e.g., automating manual check calls) Translate model performance improvements into busin

At FourKites we have the opportunity to tackle complex challenges with real-world impacts. Whether it's medical supplies from Cardinal Health or groceries for Walmart, the FourKites platform helps customers operate global supply chains that are efficient, agile and sustainable. Join a team of curious problem solvers that celebrates differences, leads with empathy and values inclusivity. As a Senior Data Scientist, you will build and own machine learning models that power core prediction problems across the FourKites platform — including ETA/ATA forecasting and message-based status extraction. You will work end-to-end, from data pipeline to production deployment and monitoring, turning noisy real-world logistics data into models that run at scale and directly move the needle on customer outcomes. You will work closely with product, engineering, and operations teams, hands-on building and shipping models yourself while also guiding the technical direction of other data scientists on the team. What you'll be doing: Design, build, and productionize ML models for problems like ETA/ATA prediction, using regression, classification, and time-series forecasting techniques Develop NLP/LLM-based extraction pipelines for message-based ETA and status updates (text extraction, entity recognition) Own models end-to-end: data pipeline → training → deployment → monitoring → retraining Work with noisy, real-world logistics and supply chain data (GPS pings, check calls, carrier data) rather than clean, pre-processed datasets Diagnose gaps between offline evaluation performance and live production accuracy, and drive fixes Build and maintain automated training/retraining pipelines using orchestration tools such as Airflow Set up and maintain model monitoring and observability (e.g., Grafana) to catch drift and degradation proactively Replace manual or rule-based processes with ML-driven automation (e.g., automating manual check calls) Translate model performance improvements into busin

About the team OpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. In support of that mission, the ChatGPT Ads team is building advertising products that help businesses reach customers in useful, trusted, and responsible ways. The Ads Strategy, Planning, and Operations team is responsible for building the operating foundation for OpenAI’s advertising business: GTM systems, segmentation, coverage, planning, forecasting, business rhythms, sales programs, incentives, and scalable execution across advertisers, agencies, partners, resellers, and internal teams. This team sits at the intersection of Sales, Product, Engineering, Finance, Legal, Policy, Marketing, Partnerships, and Customer Success. About the role We’re looking for a Reseller & Ecosystem Programs Lead to build the ChatGPT Ads reseller program from the ground up and design ecosystem programs that accelerate advertiser adoption, partner productivity, and revenue growth. This role will define how OpenAI works with resellers and ecosystem partners across the Ads business: who we partner with, what motions they own, how they are enabled, how performance is measured, and how incentives should work. The ideal candidate has built reseller, channel, partner, or ecosystem programs in digital advertising, media, adtech, marketplace, or platform businesses and knows how to balance growth, control, customer experience, and platform integrity. In this role, you’ll: Design and build the ChatGPT Ads reseller program, including partner segmentation, eligibility criteria, commercial model, operating model, onboarding, governance, and performance management. Define the role of resellers and ecosystem partners across customer acquisition, activation, spend growth, market expansion, support, and scaled coverage. Develop partner coverage and engagement models across advertisers, agencies, resellers, outsourced sellers, and other ecosystem participants. Partner with Sales, Partnership