Advertising Account Executive Jobs

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . At Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. From powering personalized recommendations and search to optimizing advertising systems and marketplace dynamics, our ML engineers tackle some of the most interesting and impactful problems in large-scale applied machine learning. We hire Machine Learning Engineers across both our Consumer and Ads organizations, giving you the opportunity to work on a wide range of high-impact problems across the Reddit ecosystem. We are looking for Machine Learning Engineers who are excited to build systems end-to-end, from research and modeling to production deployment, — and who want to help shape the future of discovery, relevance, and monetization at Reddit. If you love working on complex, real-world ML problems at massive scale, this role is for you. What You’ll Work On As a Machine Learning Engineer at Reddit, you will design and build production ML systems that power core experiences across the platform, including: Personalized recommendations, search, and ranking systems that help users discover the most relevant content and communities Intelligent advertising systems including ranking, bidding, measurement, and optimization Content, Advertisers, and User understanding, from building foundational content/user representations to deriving insightful signals Large-scale machine learning pipelines, model serving infrastructure, and real-time decision systems Applied AI and

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . At Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. From powering personalized recommendations and search to optimizing advertising systems and marketplace dynamics, our ML engineers tackle some of the most interesting and impactful problems in large-scale applied machine learning. We hire Machine Learning Engineers across both our Consumer and Ads organizations, giving you the opportunity to work on a wide range of high-impact problems across the Reddit ecosystem. We are looking for Machine Learning Engineers who are excited to build systems end-to-end, from research and modeling to production deployment, — and who want to help shape the future of discovery, relevance, and monetization at Reddit. If you love working on complex, real-world ML problems at massive scale, this role is for you. What You’ll Work On As a Machine Learning Engineer at Reddit, you will design and build production ML systems that power core experiences across the platform, including: Personalized recommendations, search, and ranking systems that help users discover the most relevant content and communities Intelligent advertising systems including ranking, bidding, measurement, and optimization Content, Advertisers, and User understanding, from building foundational content/user representations to deriving insightful signals Large-scale machine learning pipelines, model serving infrastructure, and real-time decision systems Applied AI and

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . At Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. From powering personalized recommendations and search to optimizing advertising systems and marketplace dynamics, our ML engineers tackle some of the most interesting and impactful problems in large-scale applied machine learning. We hire Machine Learning Engineers across both our Consumer and Ads organizations, giving you the opportunity to work on a wide range of high-impact problems across the Reddit ecosystem. We are looking for Machine Learning Engineers who are excited to build systems end-to-end, from research and modeling to production deployment, — and who want to help shape the future of discovery, relevance, and monetization at Reddit. If you love working on complex, real-world ML problems at massive scale, this role is for you. What You’ll Work On As a Machine Learning Engineer at Reddit, you will design and build production ML systems that power core experiences across the platform, including: Personalized recommendations, search, and ranking systems that help users discover the most relevant content and communities Intelligent advertising systems including ranking, bidding, measurement, and optimization Content, Advertisers, and User understanding, from building foundational content/user representations to deriving insightful signals Large-scale machine learning pipelines, model serving infrastructure, and real-time decision systems Applied AI and

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . At Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. From powering personalized recommendations and search to optimizing advertising systems and marketplace dynamics, our ML engineers tackle some of the most interesting and impactful problems in large-scale applied machine learning. We hire Machine Learning Engineers across both our Consumer and Ads organizations, giving you the opportunity to work on a wide range of high-impact problems across the Reddit ecosystem. We are looking for Machine Learning Engineers who are excited to build systems end-to-end, from research and modeling to production deployment, — and who want to help shape the future of discovery, relevance, and monetization at Reddit. If you love working on complex, real-world ML problems at massive scale, this role is for you. What You’ll Work On As a Machine Learning Engineer at Reddit, you will design and build production ML systems that power core experiences across the platform, including: Personalized recommendations, search, and ranking systems that help users discover the most relevant content and communities Intelligent advertising systems including ranking, bidding, measurement, and optimization Content, Advertisers, and User understanding, from building foundational content/user representations to deriving insightful signals Large-scale machine learning pipelines, model serving infrastructure, and real-time decision systems Applied AI and

About Us Paytm is India’s leading digital payments and financial services company, which is focused on driving consumers and merchants to its platform by offering them a variety of payment use cases.aytm offers acquiring devices like Soundbox, EDC, QR and Payment Gateway where payment aggregation is done through PPI and also other banks’ financial instruments. To further enhance merchants’ business, Paytm offers merchants commerce services through advertising and Paytm Mini app store. Operating on this platform leverage, the company then offers credit services such as merchant loans, personal loans and BNPL, sourced by its financial partners. About the role: Evangelize and demonstrate the value and impact of analytics for informed business decision making by developing and deploying analytical solutions and providing data driven insights to business stakeholders to understand and solve for various lending business nuances. The Credit Risk Analyst will be responsible for monitoring , analysing and optimising lending portfolios across consumer / merchant lending products. This includes overseeing portfolio health , developing / refining risk strategies and supporting business growth through risk adjusted decision making. Key Responsibilities : - Portfolio Monitoring & Analytics - Risk Strategy & Policy Design - Stress Testing & Risk Containment - Loss forecasting & scenario planning - Product & Growth Partnership - Collections Interface / Strategy - Compliance & Bureau Management Requirements: - 2 to 5 yrs in portfolio risk management function in Fintech/ Banks/ NBFC - Hands on experience in SQL, Python, R, Pyspark - Good understanding of Bureau data, Alternate Data, Scorecards, Digital Lending API's etc - Ability to translate data into clear insights and recommendations - Familiarity with BI tools like Tableau, Looker , Metabase etc - Understanding of machine learning models in credit risk - Strong problem solving and stakeholder management skills

About Paytm: 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. About the team: Thriving on innovation, One97 delivers Customer Communication, Up-Selling, Mobile Content, Advertising based and Platform services to over 500 Million mobile consumers across the globe. Headquartered in New Delhi, and backed by marquee investors like Intel Capital, Elevation Capital, Silicon Valley Bank, SAP Ventures & Berkshire Hathaway, One97’s products and services are available on various models i.e. Capex, Opex & Revenue Share model as per the flexibility of Telco’s. Our Key Offerings are divided into 5 broad categories as follows: • Entertainment • Digital Platforms • CVM Solutions • Enterprise Services • Financial Platforms One97 has the widest and largest deployment of telecom applications on cloud platforms in India and has a myriad of VAS services that have helped operators augment their revenue even in complex markets like India, SAARC, Middle East, Africa and many more. Superpowers that will help you succeed in this role: - Bachelor's degree in engineering with stream Electronics & Telecommunications. Focus: Telco Services (IVR, USSD, SMS, Precall, Merchant IVR, M2M IVR Portal). Key Responsibilities:- *Assist in gathering basic business requirements for Telco services. *Support documentation of functional specifications and user stories. *Learn and contribute to the product life cycle of assigned services. *Monitor the performance and health of live Telco services. *Assist in the initial investigation of operational issues and incidents. *Support creation and maintenance of operational documentation. *Learn and utilize service monitoring tools and platforms. *Participate in testing o

About Appier Appier (TSE: 4180) is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to create value through cutting-edge AdTech and MarTech solutions. Founded in 2012 with the vision of “Making AI Easy by Making Software Intelligent,” Appier helps businesses turn AI into ROI through its Ad Cloud, Personalization Cloud, and Data Cloud—each powered by Agentic AI that enables autonomous, adaptive, and real-time decision-making. Today, Appier operates 17 offices across APAC, the US, and EMEA, and is listed on the Tokyo Stock Exchange. Learn more at www.appier.com. About Ad Cloud Serving Services Team At Appier's Ad Cloud Team Serving Services Team, we build and maintain the critical systems that power the core of Appier's advertising technology. These systems handle massive, high-concurrency, real-time requests, and ensure the stability, low latency, and high performance of our ad delivery. Our SRE professionals are crucial in guaranteeing these services remain reliable under extreme loads, continuously enhancing product availability and performance through innovation and automation . Responsibilities Lead the design and development of scalable, high-performance, and reliable backend services for real-time ad recommendation, data serving, and core ad tech infrastructure. Drive technical roadmap and ownership for sizable projects, ensuring the delivery of robust and efficient solutions within the Ad Cloud ecosystem. Optimize critical system components for latency, throughput, and resource utilization, including database interactions (e.g., MongoDB sharding, ClickHouse optimizations) and network architecture. Enhance system observability, incident management, and operational excellence by implementing comprehensive monitoring, alerting (e.g., Grafana, Prometheus), and refining production SOPs. Collaborate closely with product managers and scientists to translate business requirements into technical designs and ensure seamless integr

【About the role】 In the position of Software Engineer Intern, Quality Assurance at Appier, you will be an integral part of our QA team, dedicated to ensuring the highest standards of software quality and reliability. This role provides a unique opportunity to delve into various aspects of software testing and quality control in a fast-paced and innovative tech environment. We are currently looking for individuals who can commit to an internship schedule of 2-4 days (18-32 hours) per week. This internship opportunity entails a minimum duration of 1 year, beginning from the present date. Students from the third year of undergraduate to the second year of master's program are welcome! 【Responsibilities】 Manual Test Execution Reporting bugs via JIRA Bug fix verification Exploratory Testing with guided charter (Advertising Cloud) Test the AD in App/Website, record the screen video and network traffic log(get from proxy server log) from click AD to open the destination product page. (Personalization Cloud, Data Cloud) Test the multi channel marketing automation service empowered by AI. Ensure integration between components or products. Find weak links in complex system architecture. 【About you】 - Minimum requirement - Able to understand requirements, specifications, and follow the test steps written in English. Interested in learning new technology and solving real world problems. A graduating student/BS in Computer Science, Engineering, or a related field - Preferred qualifications - Experience in web and mobile application testing Experience in HTTP Protocol and its functionality (RESTful API, Cookie, WebUI, ..) Experience in Fiddler/Charles proxy server Experience in Postman/SoapUI HTTP test Good communication skills in English. Experience with programming using AI tools (such as GitHub Copilot, Cursor...) is a plus. #LI-JC1

About Appier Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. About the role Frontend engineers at Appier focus on handcrafting sophisticated web UIs and ad content using cutting-edge front-end development technologies and tools. We collaborate closely with designers and backend engineers to deliver high-quality, smooth, and elegant web applications for the advertising domain as well as support daily operations within Appier. [The seniority/title is determined by job-related skills, experience, and evaluation after the interview.] Responsibilities Design and develop reusable advertising UI components (e.g., banners, video ads) and supporting systems using modern JavaScript frameworks and AI-powered tools. Build and maintain a modular JavaScript library or SDK to ensure scalable, consistent, and easily integrated ad rendering and tracking. Optimize ad content performance through efficient loading strategies and responsive design. Develop integrations with external SSP platforms, ensuring compliance with technical standards. Implement and manage analytics tools to monitor user interaction and ad effectiveness, delivering actionable insights. Participate in brainstorming sessions, contributing innovative technical solutions across UI/UX, algorithms, and product development. Utilize AI-powered development tools (e.g., GitHub Copilot, Tabnine, Cursor) to enhance coding efficiency and maintain code quality. About you [Minimum qualifications] Solid understanding of HTML, CSS, JavaScript, TypeScript, DOM, HTTP and web standards. Knowledge of modern front-end frameworks like React, Vue, Svelte.

About Appier Appier is an AI-native Agentic AI as a Service (AaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. The Impact You’ll Make at Appier Appier is seeking a Senior Machine Learning Scientist to join our Advertising Cloud Optimization team , which leads the development of core machine learning algorithms driving campaign efficiency and advertiser ROI. Our programmatic advertising platform operates at a massive scale, handling over multi millions queries per second (QPS), all powered by our proprietary deep learning models for bidding, pricing, and personalized content delivery. In this role, you’ll directly impact the efficiency and profitability of ads campaigns by improving models for bidding, pricing , and personalized content recommendation , while ensuring system robustness and scalability in a dynamic market environment. What You’ll Work On Design, implement, and productionize state-of-the-art ML models to improve campaign outcomes. Analyze large-scale user and auction data to discover predictive patterns and alpha signals that enhance bidding and personalization. Collaborate cross-functionally with engineering, product, and data teams to identify opportunities, define roadmaps, and deliver impactful solutions. Continuously improve system performance through offline experimentation and online testing (e.g., A/B tests, incremental learning). What We’re Looking For Bachelor’s degree in Computer Science, Mathematics, EE, or related field; Master’s or PhD preferred. 4+ years of industry experience in ad tech , with a focus on performance optimization. Proven experience in applied machine learning , especial

About the Role We are seeking an experienced, data-driven, and forward-thinking Digital Marketing Manager . In this role, your core focus will be leading our Answer Engine Optimization (AEO) strategy to maximize our brand's organic visibility, citations, and recommendation share across GenAI search engines (e.g., Perplexity, ChatGPT Search, Gemini, Google AI Overviews). The remaining of your focus will involve managing and optimizing paid advertising campaigns across core platforms like Meta and Google Ads to drive cohesive performance growth. We are looking for a highly logical, strategic, and pioneering talent. If you are a proactive self-starter who thrives on taking ownership of projects and leveraging data and AI tools to solve real business challenges, this is the perfect stage for you. Responsibilities AEO Strategy & Execution Formulate Blueprint: Formulate and implement comprehensive AEO tactical roadmaps to secure Appier’s brand presence and leading recommendation share across major AI search engines. Define Monitoring Metrics: Establish and track key KPIs (e.g., AI Share of Voice, Traffic Conversion from GenAI engines) to evaluate AEO effectiveness and regularly report actionable data insights to the executive team. Cross-Functional Collaboration: Act as the strategic bridge between Content and Product teams, guiding them to structure brand assets and data into formats that AI engines can easily crawl and cite. Drive Business Problem-Solving: Demonstrate high commercial acumen by proactively identifying potential issues and defining core pain points. Take ownership to lead cross-departmental projects, collaborating closely with Data Analysts (DA), Product Managers (PM), and other teams to crack business challenges and deploy pioneering market solutions. Paid Media Campaigns End-to-End Execution: Independently plan, execute, analyze, and continuously optimize paid advertising campaigns across core platforms (Meta, Google Ads, etc.) to maximize subscript

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit has a flexible workforce! If you happen to live close to one of our physical office locations our doors are open for you to come into the office as often as you'd like. Don't live near one of our offices? No worries: You can apply to work remotely in any country in which we have a physical presence. Team Description Reddit is poised to rapidly innovate and grow like no other time in its history. We’re currently hiring across multiple teams, some of these teams include: Ads ML Serving Team The Ads ML Serving team is part of Reddit’s Ads ML Platform, which builds the infrastructure and tools that power machine learning across Ads. This team focuses on creating a highly reliable, scalable, and efficient ML serving stack. Their work includes evolving long-term serving architecture, integrating closely with the ads serving stack, optimizing CPU/GPU performance, and building model velocity tools like observability libraries and model quality gating. Attribution & Identity Team The Attribution & Identity team builds products that help advertisers understand and measure the impact of their campaigns. They focus on attribution systems, identity solutions, and advertiser experimentation tools that improve performance insights and usability. Their goal is to make Reddit’s advertising platform more effective, transparent, and data-driven. Ads Growth Team The Ads Growth team drives initiatives to expand Reddit’s advertiser base, with a focus on Small to Medium Businesses (SMBs). We build and scale the technical founda

About the Team Our Data Science team is the Avengers to Meesho’s S.H.I.E.L.D 🛡️. And why not? We are the ones who assemble during the toughest challenges and devise creative solutions, building intelligent systems for millions of our users looking at a thousand different categories of products. We’ve barely scratched the surface, and have amazing challenges in charting the future of commerce for Bharat. About the Role As a Principal Data Scientist in our AdTech team, you’ll drive innovation in our advertising platform using advanced machine learning and statistical methods. You’ll tackle complex problems in real-time bidding, ad ranking optimization, budget efficiency, and performance measurement that directly impact our business’s bottom line. This role requires technical excellence and business acumen and you’ll collaborate with cross-functional teams to transform data insights into actionable strategies that enhance our advertising ecosystem. What you will do Design and develop sophisticated bidding, budget pacing and other algorithms that optimize ad spend or ROI. Create frameworks and experimental design to measure ad effectiveness and ROI. Collaborate with product and engineering teams to translate business requirements into efficient AI/ML solutions. Communicate long-term roadmap, insights and recommendations to tech and business leadership. Mentor junior data scientists and provide technical guidance. Lead research initiatives in machine learning, auction theory and advertising technology. What you will need B.Tech in Computer Science, Machine Learning, or a related field with at least 6+ years of experience in AI/ML research. Experience in auction theory, predictive modelling, causal inference, and reinforcement learning. Expertise in PyTorch or TensorFlow, and proficiency in Python as we

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . Pinterest is uniquely positioned across the consumer journey – from inspiration and discovery through consideration, purchase, and long-term customer relationships. Pinners’ commercial intent and engagement create valuable signals that can help advertisers better understand and improve their performance. This role will define how Pinterest applies identity, conversion, and measurement signals to help advertisers identify and acquire new customers, measure incremental outcomes, and optimize campaign bidding. By connecting measurement insights with campaign decisioning, this leader will help advertisers maximize business outcomes and strengthen Pinterest’s differentiation in the ads ecosystem. The ideal candidate is a Staff-level product leader with substantial experience in ads measurement, optimization, or adjacent advertising technology.

As a Product Marketing Intern at Eulerity, you'll get a real look at how our marketing team works, from content and brand work all the way through the automation and data that drives demand generation. You'll pitch in across content, campaigns, and operations, and you'll actually own projects, not just watch from the sidelines. You'll also get to use AI tools as part of your everyday work. Core Responsibilities Shoot and edit video content across customer testimonials, social clips, and website assets, you're comfortable holding a camera and getting a good shot, then taking that footage through editing and adding animation/motion graphics to make it publish-ready. Help write and schedule LinkedIn posts for our marketing and sales teams, covering conferences, other initiatives, and engagement content. Help out with our podcast: researching guests, prepping talking points, and handling episode logistics. Help keep our website updated, put together our newsletters each cycle, and pitch in ideas for an upcoming site revamp. Assist with research and first drafts for industry insight reports, white papers, and blog posts, using AI tools to help speed up the drafting. Help build outbound email sequences that improve click rates, open rates, engagement, and lead volume. Research industry verticals like Health & Wellness, Fitness, Home Improvement, Real Estate, and Tutoring to help shape our messaging. Help build renewal and upsell materials that support Customer Success. Help track campaign performance and pull together marketing metrics reports. Help keep our lead scoring and attribution data clean and accurate. Learn your way around automation tools like n8n, Zapier, or even Claude agents like Claude Code, and help build workflows in them. About Eulerity Eulerity is an AI marketing automation platform that makes digital advertising simple for businesses of all sizes, from local franchises to global enterprises. As a Marketing Intern, you'll work closely with the team