Content Manager Jobs

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 passionate teammates to join our team! What You’ll Be Doing Create engaging video content and static visuals for marketing campaigns across multiple platforms Work with After Effects and relevant AI tools to produce high-quality animations Collaborate with the growth team to align on analytics and key performance metrics Bring a fresh perspective and artistic approach to video production, beyond pure technical execution Collaborate in brainstorming and offer out-of-the-box ideas to enhance our advertising content Desired skills and experiences Expected to graduate in 2027 from a related field Availability to work on-site in our Istanbul office on selected weekdays Marketing mindset with a good sense of storytelling and visual communication Portfolio demonstrating video/motion work with a creative edge Strong attention to detail and ability to deliver under tight deadlines Interest in visual trends, pop culture, and new media formats Passion for Match Villains and mobile puzzle games in general Nice to have: Familiarity with AI tools, especially for image and video generation 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 Flexible working schedule Great food On-site gym Full health benefits Compensation for paid military service 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. Unfor

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 passionate teammates to join our team! What You’ll Be Doing Create engaging video content and static visuals for marketing campaigns across multiple platforms Work with After Effects and relevant AI tools to produce high-quality animations Collaborate with the growth team to align on analytics and key performance metrics Bring a fresh perspective and artistic approach to video production, beyond pure technical execution Collaborate in brainstorming and offer out-of-the-box ideas to enhance our advertising content Desired skills and experiences Experience in After Effects Marketing mindset with a good sense of storytelling and visual communication Portfolio demonstrating video/motion work with a creative edge Strong attention to detail and ability to deliver under tight deadlines Interest in visual trends, pop culture, and new media formats Passion for Match Villains and mobile puzzle games in general Nice to have: Familiarity with AI tools, especially for image and video generation 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 Flexible working schedule Great food On-site gym Full health benefits Compensation for paid military service 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. Unfortunately, we do not offer a fully-remote working option.

Job Description: Fintech Learning Consultant Company: Paytm Location: India (Open to Pan-India Travel) Experience Required: 5 to 15+ Years Employment Type: Full-Time / Contractual / Part-time About Paytm Paytm is India's leading digital ecosystem for consumers and merchants. We are redefining how people access financial services and how businesses grow through technology. As we expand our fintech footprint, we are investing in cutting-edge education, training, and innovation to upskill the future workforce. Role Overview We are seeking a seasoned Learning Consultant - Fintech to join our team in a full-time capacity. This role is ideal for a fintech domain expert who combines deep subject matter expertise with strong communication and content design skills. The individual will play a pivotal role in bridging industry practice with structured learning, working at the intersection of fintech innovation, academic collaboration, and capability development. Key Responsibilities Training & Enablement: Design and deliver high-impact training sessions for external partners and student cohorts at universities and colleges, enabling a strong understanding of fintech platforms, products, and emerging technologies. Research & Trend Analysis: Continuously track global fintech trends, regulatory developments, and technological advancements; translate these insights into relevant, future-focused learning interventions. Product & Business Support: Collaborate with product and business teams by providing domain expertise across the fintech lifecycle—including ideation, design validation, testing, and go-to-market readiness. Content Development: Develop structured, outcome-driven learning content including curriculum frameworks, case studies, playbooks, and technical guides tailored to diverse learner segments. Required Skills & Tools Must-Have: Strong verbal and written communication with the ability to translate complex concepts into understandable learning modules. Good to Ha

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. The Editor, Audience – A.I. and Emerging Platforms will ensure our journalism and content are surfaced with permission on A.I. platforms with the precision, context and editorial standards our readers expect. They will also serve as the crucial bridge between the newsroom, Partnerships, Legal and the A.I. Initiatives team in shaping and managing relationships with A.I. platforms from an audience perspective. The right person has worked in newsrooms, has a deep understanding of A.I. technology and shifting behavioral trends and can identify editorial opportunities and reputational risks. They’re also quantitative and measurement-driven and will help us develop sophisticated ways to measure our editorial interventions. This is an in-office position, based in New York City and includes regular attendance in the office four days each week. There may be some flexibility to work remotely per your departmental guidance. Responsibilities Identify new surfaces, features or platforms to distribute our journalism, experiment with programming strategies and report on the results Act as newsroom adviser alongside the Partnerships team when assessing potential agreements with A.I. companies, ensuring any use of journalism on external platforms aligns with editorial values, newsroom priorities and audience goals Provide regular insights to leadership on how A.I. discovery is impacting the traditional audience funnel – and what kind of audience strate

About the Role: The Machine Learning team at Tubi drives the innovation behind personalized user experiences. With the largest inventory in the industry and hundreds of millions of viewers, we tackle problems in the space of recommendations, search, content understanding and ads optimization that shape the future of streaming. We are seeking a highly skilled Staff Machine Learning Engineer to contribute to transformative projects in video personalization. In this role, you will design and implement advanced algorithms and systems to improve our personalization strategy. As a senior technical expert, you will tackle complex problems in machine learning at scale, collaborating closely with cross-functional teams to develop and optimize machine learning-driven solutions. This is a hybrid role in our Toronto office. What You'll Do: Lead the design, development, and implementation of advanced recommendation systems and algorithms for a global audience Conduct deep dives into algorithmic components and systems, ensuring that models are optimized for both performance and scalability across multiple regions and product areas Build and deploy high-impact robust ML pipelines, including data extraction, feature development, model training, testing, and deployment Continuously monitor, evaluate, and optimize the performance of deployed models, ensuring they meet business goals and provide high-quality user experiences. Work closely with Product, Engineering, and Data Science teams to align on product requirements, set expectations, and deliver machine learning-driven solutions that improve user engagement Your Background: 8+ years of industry experience building production Machine Learning systems MSc or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field Experience with deep learning technologies for recommendation systems, including TensorFlow, PyTorch, or similar frameworks Proficiency in building and deploying full-stack machine le

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more. You'll be deeply embedded where people get things done. You'll ship agentic capabilities on an open, extensible stack, with

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: As a Safety Operations Senior Analyst for Child Safety, you will contribute to SpaceXSI's mission by training and refining Grok to enforce our terms of service and support functions. Your work will directly impact the safety of our products, X, and Grok, by minimizing existential risks, enforcing SpaceXSI's rules, and promoting responsible development, helping to prevent illegal and harmful content. RESPONSIBILITIES: Monitor and take action on content and behavior that goes against our terms of service, escalating as needed. Have deep expertise in online child safety, including the identification, investigation, and mitigation of a broad range of child safety threats and risks. Investigate complex cases involving child safety, with the ability to recognize when escalation to internal legal teams and/or external reporting (e.g., NCMEC reports when applicable) is required. Monitor and take appropriate action on content and user behavior that violates SpaceXSI's terms of service with a primary focus on protecting minors. Respond effectively to time-sensitive escalations in high-impact, often ambiguous situations. Process appeals, audit automations, and properly labe

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: As a Safety Operations Senior Analyst for Child Safety, you will contribute to SpaceXSI's mission by training and refining Grok to enforce our terms of service and support functions. Your work will directly impact the safety of our products, X, and Grok, by minimizing existential risks, enforcing SpaceXSI's rules, and promoting responsible development, helping to prevent illegal and harmful content. RESPONSIBILITIES: Monitor and take action on content and behavior that goes against our terms of service, escalating as needed. Have deep expertise in online child safety, including the identification, investigation, and mitigation of a broad range of child safety threats and risks. Investigate complex cases involving child safety, with the ability to recognize when escalation to internal legal teams and/or external reporting (e.g., NCMEC reports when applicable) is required. Monitor and take appropriate action on content and user behavior that violates SpaceXSI's terms of service with a primary focus on protecting minors. Respond effectively to time-sensitive escalations in high-impact, often ambiguous situations. Process appeals, audit automations, and properly labe

About Hark Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory. We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world. To get there, we're developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems. About the Role The Omni team at Hark is building the next generation of AI experiences beyond text, enabling models to understand and generate content across multiple modalities, including text, audio. Our goal is to create seamless, real-time multimodal intelligence that powers intuitive and immersive user experiences. As part of the Omni team, you will drive the development of advanced speech and audio capabilities within multimodal foundation models. You will work across the full stack—from data and modeling to training, evaluation, and real-time serving—pushing the boundaries of speech intelligence and human-computer interaction. Responsibilities Drive research and development to advance speech and audio capabilities in multimodal models, including speech recognition, synthesis, and understanding. Develop and improve large-scale speech and audio data pipelines, including data collection, filtering, alignment, and synthetic data generation. Design and implement state-of-the-art models for speech and audio, including end-to-end multimodal architectures and real-time systems. Build evaluation frameworks and internal benchmarks to measure speech quality, latency, robustness, and overall user experience. Optimize models and systems for real-time pe

About Hark Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory. We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world. To get there, we're developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems. About the Role The Omni team at Hark is building the next generation of AI experiences beyond text, enabling models to understand and generate content across multiple modalities, including text, audio, and vision. Our goal is to create seamless, real-time multimodal intelligence that powers intuitive and immersive user experiences. As part of the Omni team, you will focus on developing large-scale pretraining systems and foundation models. This includes working across the full stack—from data curation and large-scale training infrastructure to model architecture and optimization. You will play a key role in advancing the core capabilities of our models through pretraining at scale. Responsibilities Drive research and development in large-scale LLM and multimodal pretraining, focusing on improving model capability through better data, scaling, and architecture. Develop and optimize data pipelines for pretraining, including large-scale data curation, filtering, deduplication, and synthetic data generation. Design and implement efficient training strategies for foundation models, including distributed training, scaling laws, and optimization techniques. Build and improve pretraining infrastructure, including training systems, data pipelines, and comp

About Hark Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory. We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world. To get there, we're developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems. About the Role The Omni team at Hark is building the next generation of AI experiences beyond text, enabling models to understand and generate content across multiple modalities, including text, audio, and vision. Our goal is to create seamless, real-time multimodal intelligence that powers intuitive and immersive user experiences. As part of the Omni team, you will help drive the development of real-time audio, video, and multimodal models. This includes working across the full stack—from data and modeling to training, serving, and product integration. You will contribute to both pretraining and posttraining efforts while collaborating closely with product teams to push the boundaries of model capability and deliver exceptional end-to-end user experiences. Responsibilities Design and implement efficient RL algorithms and training strategies to achieve state-of-the-art performance in multimodal foundation models, PPO/GRPO/RLHF Drive research and development agendas to advance real-time multimodal intelligence, including audio, video modeling capabilities. Improve data quality for large-scale post training by developing data filtering, curation, and synthetic data generation techniques. Build evaluation frameworks and internal benchmarks to m

About Hark Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory. We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world. To get there, we're developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems. About the Role The Omni team at Hark is building the next generation of AI experiences beyond text, enabling models to understand and generate content across multiple modalities, including text, and vision. Our goal is to create seamless, real-time multimodal intelligence that powers intuitive and immersive user experiences. As part of the Omni team, you will help drive the development of real-time audio, video, and multimodal world models. This includes working across the full stack—from data and modeling to training, serving, and product integration. You will contribute to both pretraining and posttraining efforts while collaborating closely with product teams to push the boundaries of model capability and deliver exceptional end-to-end user experiences. Responsibilities Drive research and development agendas to advance real-time multimodal intelligence, including audio, video, and world modeling capabilities. Improve data quality for large-scale multimodal training by developing data filtering, curation, and synthetic data generation techniques. Build evaluation frameworks and internal benchmarks to measure model capability, reliability, and user experience across modalities. Design and implement efficient algorithms and training strategi

About Hark Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory. We're pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today's AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world. To get there, we're developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems. About the Role The Omni team at Hark is building the next generation of AI experiences beyond text, enabling models to understand and generate content across multiple modalities, including text, and vision. Our goal is to create seamless, real-time multimodal intelligence that powers intuitive and immersive user experiences. As part of the Omni team, you will help drive the development of text, video, and multimodal models. This includes working across the full stack—from data and modeling to training, serving, and product integration. You will contribute to both pretraining and posttraining efforts while collaborating closely with product teams to push the boundaries of model capability and deliver exceptional end-to-end user experiences. Responsibilities Drive mid-training and post-training research for multimodal foundation models — continued/mid-training on large-scale interleaved vision-text and video-audio corpora, supervised fine-tuning, and reinforcement learning to advance image, video, and video-audio understanding. Own the RL stack for multimodal post-training: reward modeling, preference optimization and RLVR-style verifiable rewards, policy optimization (PPO / GRPO / DPO and variants), rollout and sampling strategies, and mitigation o

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more. You'll be deeply embedded where people get things done. You'll ship agentic capabilities on an open, extensible stack, with

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more. You'll be deeply embedded where people get things done. You'll ship agentic capabilities on an open, extensible stack, with