As a top 3 mobile games publisher and developer (according to AppAnnie and Sensor Tower) and with over 6 billion downloads to date, CrazyLabs is a worldwide leader in casual and hyper-casual game development, distribution and innovation.

CrazyLabs

Ad Monetization Manager

AI Creative Technologist

Game Designer

Lead Game Designer

Mobile User Acquisition Manager

QA Professional

Mobile Games QA

CrazyLabs is seeking a strategic and data-savvy Ad Monetization Manager to join their Product Monetization team. This role involves maximizing ad revenue across their mobile game portfolio by developing and executing in-game ad monetization strategies, analyzing performance, and providing actionable insights to various teams. The manager will also monitor key performance indicators, identify anomalies, and serve as a key contact for ad networks, leveraging SQL and data visualization tools to optimize revenue.

<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Description</h3>CrazyLabs is one of the world’s leading mobile game developers and publishers, with over 7 billion downloads to date. We’re looking for a strategic and data-savvy Ad Monetization Manager to join our Product Monetization team. In this role, you’ll help maximize ad revenue across our game portfolio by combining analytical expertise with strong cross-functional and partner communication.Key Responsibilities:<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Develop and execute in-game ad monetization strategies across multiple titles, including live and soft-launched games.</li><li class="leading-relaxed">Analyze monetization performance and provide actionable insights to the Product, User Acquisition, and Data teams.</li><li class="leading-relaxed">Monitor key performance indicators, identify anomalies, and proactively support continuous optimization initiatives.</li><li class="leading-relaxed">Serve as the point of contact for ad networks—building strong relationships, resolving issues, and driving opportunities for growth.</li><li class="leading-relaxed">Leverage SQL and data visualization tools to explore user behavior, evaluate ad placements, and uncover revenue trends.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Requirements</h3>Qualifications:<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Minimum 3 years of experience in ad monetization strategy, analytics, or operations— within the mobile gaming industry.</li><li class="leading-relaxed">Proven background in managing ad monetization performance and communicating with ad network partners.</li><li class="leading-relaxed">Advanced analytical skills with the ability to interpret data and deliver strategic insights.</li><li class="leading-relaxed">Familiarity with additional BI tools is a plus.</li><li class="leading-relaxed">Strong interpersonal and communication skills for effective collaboration across internal teams and external stakeholders.</li><li class="leading-relaxed">Understanding of the hybrid-casual gaming space is a significant advantage.</li></ul>Why Join CrazyLabs?<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Join a top-tier mobile gaming company with a track record of global hits and innovation.</li><li class="leading-relaxed">Work alongside a high-performing, cross-functional team across product, monetization, and data.</li><li class="leading-relaxed">Take ownership of monetization initiatives and help shape key revenue strategies.</li><li class="leading-relaxed">Enjoy the flexibility of a remote role with autonomy, impact, and growth opportunities.</li></ul>

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Level AI is a Mountain View, CA-based startup innovating in Voice AI, backed by top VCs. They aim to revolutionize customer sales experience using speech AI, NLP, and information retrieval systems. As a Machine Learning Engineer - Research, you will be a critical team member, working with experienced technologists to identify and solve new problems, shaping the future of AI in businesses with high impact.

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Level AI is a Mountain View, CA-based startup innovating in the Voice AI space. We are backed by top VCs, technologists from Silicon Valley and industry experts. We are on a mission to revolutionize the customer sales experience for businesses. We are innovating in speech AI, NLP and information retrieval systems to bring customers and businesses closer to one another. As one of the critical members of the Level team your work will be new and of the highest impact to shape the future of AI in businesses. You will directly work with a team of experienced technologists to identify and solve a new set of problems. The team has experience from Amazon Alexa, Google, and other leading AI organizations. You will have the freedom to pave a new path to achieve our mission.<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">What you'll be liable for:</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Big picture: Understand customers’ needs and innovate and use cutting-edge Machine Learning techniques to build data-driven solutions.</li><li class="leading-relaxed">Work on NLP problems across areas such as text classification, entity extraction, summarisation, generative NLP, and others.</li><li class="leading-relaxed">Collaborate with cross-functional teams to integrate/upgrade AI solutions into company’s products and services Optimise existing machine learning models for performance, scalability and efficiency.</li><li class="leading-relaxed">Build, deploy and own scalable production NLP pipelines.</li><li class="leading-relaxed">Build post-deployment monitoring and continual learning capabilities.</li><li class="leading-relaxed">Propose suitable evaluation metrics and establish benchmarks.</li><li class="leading-relaxed">Keep abreast of SOTA techniques in your area and exchange knowledge with colleagues.</li><li class="leading-relaxed">Desire to learn, implement and apply latest emerging model architectures (like LLMs), inference optimizations, distributed training, using open-source models, etc.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">We'll love to explore more about you if you have:</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Bachelors in Computer Science or mathematics-related fields with 2+ years of experience in Machine Learning and NLP.</li><li class="leading-relaxed">Proficient in Python, NLP knowledge and practical experience in solving NLP problems in areas such as text classification, entity tagging, information retrieval, question-answering, natural language generation, clustering, etc.</li><li class="leading-relaxed">Knowledge and experience with data engineering, basic machine learning concepts, data mining, feature extraction, pattern recognition, etc.</li><li class="leading-relaxed">Knowledge and hands-on experience with Transformer-based Language Models like BERT, DeBERTa, Flan-T5, GPT, Llama, Gemma, DeepSeek, etc.</li><li class="leading-relaxed">Deep familiarity with Model Training concepts, model inference optimisations, GPUs, etc.</li><li class="leading-relaxed">Experience with Deep Learning frameworks like Pytorch and common machine learning libraries like scikit-learn, numpy, pandas, NLTK, transformers, etc.</li><li class="leading-relaxed">Experience with ML model deployments using REST API, Docker, Kubernetes, etc.</li><li class="leading-relaxed">Knowledge of cloud platforms (AWS/Azure/GCP) and their machine learning services is desirable.</li><li class="leading-relaxed">Knowledge of basic Data Structures and Algorithms.</li><li class="leading-relaxed">Knowledge of Multimodal models is a plus</li><li class="leading-relaxed">Knowledge of real-time streaming tools/architectures like Kafka, Pub/Sub is a plus.</li></ul>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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Ad Monetization Manager

AI Creative Technologist

AI Creative Technologist

AI Creative Technologist

Game Designer

Lead Game Designer

Mobile User Acquisition Manager

QA Professional

Mobile Games QA

Job Details