One97 Communications Limited (“Paytm”), India’s leading payments and financial services distribution company and through its affiliates, a pioneer of QR codes, Soundbox, and mobile payments. 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: The litigation team manages pan India Litigation (i.e civil, consumer, labor, arbitration, etc. day to day Advisory to business, coordination with Law Enforcement Agency. About the role: We are seeking the candidature of an effective & efficient individual in a DGM position, who would be aligned with the Litigation team and will be dealing with in- house Litigation matters on a Pan India basis, for the entire One97 group. Expectations/ Requirements 1. Litigation Management and control 2. Good legal Knowledge 3. Drafting of legal notices, written statements, replies, representations, presentations, etc 4. Legal Advice on day-to-day operation 5. Handling Police complaints/notices/letters 6. Court appearance on behalf of Company 7. Managing external counsel 8. Risk management 9. Coordinating and dealing with various authorities 10. Coordination with cross-functional teams to ensure compliances to all the prescribed regulatory norms. 11. Legal research and miscellaneous legal work 12. Draft and review pleadings, motions, and other court documents 13. - Develop and implement litigation strategies 14. - Manage case files and maintain accurate records Superpowers/ Skills that will help you succeed in this role ● 12- 15 years of work experience in handling litigation matters. ● Minimum 4-5 years of experience working in-house in litigation. ● Experience in specific areas of litigation (e.g., commercial, employment, intellectual property) ● Familiarity with court procedures and rules ● Good interpersonal skills to effectively communicate and coordinate complex issues
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Consumer Products And Surfaces Director in India
168 active opportunities · Updated October 2026
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About Us – Paytm is India's payment Super App offering consumers and merchants most comprehensive payment services. Pioneer of mobile QR payments revolution in India, today, Paytm is India’s largest payment company by Users, Merchants, Payment Transactions and Revenue.Paytm’s mission is to drive financial inclusion in India and bring half a billion Indians into the mainstream economy through technology-led financial Services. Paytm enables commerce for small merchants and distributes various financial services offerings to its consumers and merchants in partnership with financial institutions. Paytm has been a pioneer in the merchant space by introducing innovative solutions like QR codes to accept payments and Sound-box to recon payments by voice alerts. We are also distributing loans to these partners via our ‘Paytm for Business’ App. Position: Voice Over Artist Location: Noida Languages Required: Mandatory- Hindi & English Preferred (Good to have): Punjabi Key Responsibilities: Record voice-overs for IVR, app notifications, promotional content, and other audio requirements. Deliver clear, professional, and high-quality voice recordings as per scripts. Ensure timely delivery of recordings to meet business deadlines. Coordinate with the content and operations team for revisions or updates. Maintain consistency in tone, pronunciation, and brand guidelines. Requirements: Strong fluency and pronunciation in Hindi and English. Prior experience in voice-over recording preferred. Ability to work on tight timelines. Basic understanding of audio recording standards (clarity, noise-free output)
About Us Paytm is India's payment Super App offering consumers and merchants the most comprehensive payment services. As the pioneer of the mobile QR payments revolution in India, today, Paytm stands as India’s largest payment company by Users, Merchants, Payment Transactions, and Revenue. Paytm’s mission is to drive financial inclusion in India and bring half a billion Indians into the mainstream economy through technology-led financial Services. Paytm enables commerce for small merchants and distributes various financial services offerings to its consumers and merchants in partnership with financial institutions. Paytm has been a pioneer in the merchant space by introducing innovative solutions like QR codes to accept payments and Sound-box to reconcile payments via voice alerts. We are also distributing loans to these partners via our ‘Paytm for Business’ App. About The Team Paytm Intelligence is building next-generation AI platforms across two key areas: AI inference infrastructure and agentic AI solutions. Our focus is on enabling enterprises to move from AI experimentation to production-grade deployment with measurable business outcomes. In the agentic AI space, we are building solutions such as Outreach Manager, CLM agents, and domain- specific AI agents that automate complex customer journeys across sales, service, and operations. These systems go beyond traditional chatbots, orchestrating workflows, decisions, and actions across enterprise systems. About the Role We are hiring an AI Agentic Solutions Architect to drive enterprise adoption of AI-powered workflow automation. This role sits at the intersection of business process transformation, AI systems, and enterprise sales. You will work directly with enterprise customers to understand their workflows, identify automation opportunities, and design agentic solutions that deliver measurable outcomes such as cost reduction, conversion uplift, and improved customer experience. Key Responsibilities Customer
About Us: Paytm is India's leading financial services company that offers full-stack payments & financial solutions to consumers, offline merchants, and online platforms. The company is on a mission to bring half a billion Indians into the mainstream economy through payments, commerce, banking, investments, and financial services. One97 Communications Limited that owns the brand Paytm is founded by Vijay Shekhar Sharma. About the team: Social CST Team comprises service associates who help customers through their journey on Paytm, help them have a good experience of Paytm services. About the role: Candidate has to handle concerns and complaints raised by the customers on day-to-day basis on multiple social media platforms and make sure the daily task is being closed within the defined TAT with good customer experience. Expectations/ Requirements: ● Resolving day-to-day queries of the merchants via chat/call. ● Oversee day-to-day management of campaigns and ensure brand consistency. ● Ensure brand consistency in copy through tone, voice, and terminology. ● Supervise all aspects of social media interaction between customers and the company, and ensure a positive customer service experience. ● Developing and implementing a timeline to achieve targets. ● Previous experience in team handling Chat/email Support. Superpowers/ Skills that will help you succeed in this role: ● High level of drive, initiative, and self-motivation ● 1+ years’ experience in social media escalations management ● Exceptional multi-tasking skills ● Strong problem-solving skills Educational Qualification: Any Graduate.
About Us: Paytm is India's leading financial services company that offers full-stack payments & financial solutions to consumers, offline merchants, and online platforms. The company is on a mission to bring half a billion Indians into the mainstream economy through payments, commerce, banking, investments, and financial services. One97 Communications Limited that owns the brand Paytm is founded by Vijay Shekhar Sharma. About the Team: The OCL Grievance Redressal Team manages customer grievances, executive escalations, and regulatory complaints through voice, email, and ticketing channels. As a regulated reporting function, the team ensures timely, accurate, and compliant resolutions while upholding the highest standards of quality and customer experience. About the Role: Manage customer grievances, executive escalations, and regulatory complaints across voice and written channels. Drive end-to-end case resolution through customer engagement, RCA preparation, stakeholder coordination, and regulatory reporting while ensuring timely, compliant, and high-quality outcomes. Expectations / Requirements: 1: Handle customer complaints, grievances, and escalations received through email and ticketing platforms. 2: Manage regulatory complaints received through channels such as GRO, Nodal, Ombudsman, and other regulatory authorities. 3: Ensure timely closure of cases within the defined SLA/TAT while maintaining regulatory compliance. 4: Coordinate with internal business teams, lenders, and stakeholders to obtain RCAs and resolutions. 5: Prepare accurate case summaries, regulatory responses, and reports for submission to regulatory authorities. 6: Maintain complete documentation and ensure adherence to internal policies and compliance requirements. 7: Ensure brand consistency in written communication, including tone, accuracy, and financial/legal terminology. 8: Meet daily productivity and quality targets while maintaining high customer satisfaction. Superpowers / Skills
About Paytm Paytm, a pioneer of digital payments in India, enables 450 Mn+ consumers & 49 Mn+ merchants to make and accept digital payments, alongside Financial & Commerce services. This scale is built on proprietary, full-stack technology that drives continuous innovation in India's digital economy. Paytm's model has proven successful at acquiring customers and merchants on payments, then cross-selling them financial services. Paytm plans to build on this success to expand internationally, leveraging its proprietary merchant acquiring stack, payment acceptance device, and SME Credit platform. About the Team The international team evaluates, plans, and executes market entry strategy in key international markets, with direct ownership of local execution and operations. Key activities include market research, forming and managing strategic partnerships, liaising with regulators and government authorities, working with consultants and experts, and driving AOP delivery - including launch readiness, operational roll-out, and day-to-day performance management of the local business. About the Role Paytm is looking for an experienced Senior Manager to own and drive its international expansion - from market entry strategy through to on-ground execution. Key Requirements 1. Market Research: Assess market and industry landscape — competitive positioning, pricing, commercial structures, distribution, and operating models — via primary and secondary research, translating findings into actionable market-entry and operating plans. 2. Partner Relationships: Identify and engage potential partners, shape collaboration models, lead negotiations, and close agreements within targeted timelines. 3. Business Plan: Co-develop financial/commercial models and strategic business plans with partners, and own delivery against plan once operations go live. 4. Project Management: Track international projects and AOP delivery, oversee the partner business, take corrective action as neede
Purpose To ensure accurate, timely, transparent, and regulatory compliant billing for all categories of consumers. This ensures revenue assurance, customer satisfaction, and financial sustainability of the distribution utility. Objective “Ensure financial integrity, regulatory compliance, and customer satisfaction by delivering accurate, timely, and transparent billing for all electricity consumers.” Source: Adani Group | Job ID: 47363
• Customer Billing and Invoicing: Ensuring accurate and timely invoicing, including managing invoice discrepancies and adjustments • Billing and Invoicing for HT, LT and temporary illumination consumers, making refunds with appropriate checks • Prepare 26AS Reconciliations and maintain • Collections & Refunds: Managing the collection of payments, including coordination with internal & external stakeholders, addressing payment issues, handling payment disputes and processing refunds • Cash Application: Applying payments to specific invoices, ensuring accurate cash (all collection mediums) reconciliation, and resolving unapplied cash • Process Improvement: Identifying areas for improvement in the O2C process, implementing best practices, and streamlining workflows • MIS and Data Analysis: Analyzing key performance indicators (KPIs) related to O2C processes, such as Open BRS entries, Debtors Aging etc and prepare MIS Source: Adani Group | Job ID: 51915
About Us: Paytm is India's leading financial services company that offers full-stack payments & financial solutions to consumers, offline merchants and online platforms. The company is on a mission to bring half a billion Indians into the mainstream economy through payments, commerce, banking, investments, and financial services. One97 Communications Limited that owns the brand Paytm is founded by Vijay Shekhar Sharma. About the role: A Talent Acquisition (TA) Intern supports the recruitment team by sourcing and screening candidates, coordinating interviews, and maintaining recruitment trackers. They assist with job postings, initial candidate communication, and documentation like offer letters and onboarding forms. The role also involves helping with employer branding activities and ensuring smooth coordination between candidates and hiring managers. Working per week: 5 days Location: Noida Period: 3 months
Required Skills: Core Java: Strong understanding of Java SE, including OOP concepts, data structures, and algorithms. Frameworks: Experience with popular Java frameworks such as Spring and Hibernate. Web Technologies: Knowledge of web technologies including JSP, Servlets, HTML, CSS, and JavaScript. Database Management: Proficiency in working with relational databases like MySQL, PostgreSQL, or Oracle, including SQL queries and optimization. Version Control: Experience with version control systems like Git, including branching, merging, and pull requests. Build Tools: Familiarity with build tools like Maven or Gradle. RESTful Services: Ability to design and consume RESTful web services and APIs. Testing: Experience with unit testing frameworks like JUnit or TestNG. Problem-Solving: Strong analytical and problem-solving skills with the ability to troubleshoot and resolve complex issues. Preferred Skills: Spring Boot: Experience with Spring Boot for creating microservices. ORM: Proficiency with Object-Relational Mapping (ORM) tools like Hibernate or JPA. Frontend Technologies: Basic knowledge of frontend frameworks like Angular, React, or Vue.js. Cloud Platforms: Experience with cloud platforms such as AWS, Azure, or Google Cloud. Continuous Integration/Deployment (CI/CD): Familiarity with CI/CD tools such as Jenkins or GitLab CI. Microservices Architecture: Understanding of microservices architecture and containerization with Docker. Qualifications: Education: Bachelor’s degree in Computer Science, Information Technology, or a related field. Experience: 2-4 years of professional experience in Java development. Personal Attributes: Team Player: Ability to work collaboratively in a team environment. Communication: Strong verbal and written communication skills. Attention to Detail: High attention to detail and a commitment to delivering high-quality software. Adaptability: Ability to adapt to new technologies and changing requirements.
About Team: Financial Planning and Analysis” (FP&A) team works closely with the CFO, FP&A head, and all the other functions to enable and improve data-driven decision-making. The team enables financial planning, and allocation of funds, and uses structured problem-solving approaches along with a wide range of statistical / operations research techniques to create productized solutions for business teams to consume. Role: We are seeking to hire a talented Finance Professional for the FP&A team. This role offers a wide spectrum of responsibilities spanning from Financial and strategic planning, dynamic resource allocation framework for growth and P&L sustainability, driving efficiency charters across the P&L line items, performance management, business analytics and benchmarking with external companies. Responsibilities: Prepare monthly, quarterly and annual financial plans to be executed. Hold guardrails for investment to maximize topline growth Develop financial model for planning, budgeting, variance analysis and performance management Strategic Planning, AOP and LRP creation with thorough and detailed how-lists for topline and P&L line items Lead the MEC process with stakeholders from Business Finance and Controllership. Action upon the key risks and opportunities with agility Identify opportunities for efficiencies across the org and partner with respective teams to develop action plan to maximize the returns on investment for topline growth as well as cost optimization Leverage SQL to extract and manipulate financial data for analysis, Create and maintain dashboards and reports using SQL based tools Handle complex ad hoc request with a shorter turnaround time and supplement such request with appropriate analysis and insights for enabling business decision-making Assessment and dissemination of impact on business due to macro trends, benchmarking with national and international peer companies to identify the
₹5L – ₹7L/yr
We’re Hiring 3–4 Marketing Associates 🎯 This is a great opportunity to join a fast-growing global team and build your career in digital marketing. About WIN 🌎 WIN is the #1 ranked company in our industry in the US and also the fastest growing. We work with both consumers and businesses, giving you exposure across the full spectrum of marketing: SEO, social, paid ads, content, and more. About the Role Do you wonder how Google decides which brands show up first, why YouTube ads stay stuck in your head, or why some Instagram Reels go viral? If you’re curious about these things and love exploring new marketing trends, this role could be a great fit. We are hiring junior marketers who may not know it all yet, but who are: Honest, reliable, and disciplined Excited to learn by doing from senior mentors Self-starters who research first instead of waiting for instructions If you have 2+ years of professional experience after graduation, are passionate about marketing, and eager to grow your career, you’ll thrive here. What You’ll Do Contribute to real marketing projects by improving franchisee online presence, making updates, and supporting campaigns so they perform better Support initiatives across SEO, social, paid ads, and content with detail and consistency Research marketing trends, test ideas, and apply learnings to live projects Assist with reporting, dashboards, and quality checks Learn directly from senior marketers while being accountable for your own deliverables What We Value Most ❤️ Integrity and honesty in everything you do Work ethic and discipline to finish tasks on time, even when remote Curiosity to keep researching, testing, and asking why Clear, respectful, and professional communication with teammates Bonus Points If You Have Experience in any of SEO, social media, paid ads, content, or analytics Familiarity with tools like Canva, Google Analytics, or Meta Ads Strong written communication skills and attention t
About the Role Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse, and misuse using intelligent systems worldwide. In this position, you will build and develop machine learning models from scratch, including custom transformer-based frameworks, to identify fraudulent actions, stop account sharing, and protect the experience of hundreds of millions of users. You will manage the entire model lifecycle: raw behavioral data and feature engineering, architecture development, large-scale GPU training, deployment, and monitoring. The team is actively building in-house behavioral foundation models that learn identity-preserving representations from long sequences of user activity. This is a role for an engineer who wants to own deep learning systems end-to-end — not consume pre-built ones. Key Responsibilities Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences. Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining (e.g., masked modeling, contrastive learning), and downstream fine-tuning. Train large models efficiently on GPU infrastructure using mixed-precision training, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP, FSDP, or equivalent). Build and optimize feature pipelines on Databricks and Spark, transforming raw behavioral events into high-quality model inputs. Translate prototypes into production ML systems — scalable, reliable, and observable — and drive inference performance through architectural and serving-side optimization. Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and
About the Role Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse, and misuse using intelligent systems worldwide. In this position, you will build and develop machine learning models from scratch, including custom transformer-based frameworks, to identify fraudulent actions, stop account sharing, and protect the experience of hundreds of millions of users. You will manage the entire model lifecycle: raw behavioral data and feature engineering, architecture development, large-scale GPU training, deployment, and monitoring. The team is actively building in-house behavioral foundation models that learn identity-preserving representations from long sequences of user activity. This is a role for an engineer who wants to own deep learning systems end-to-end — not consume pre-built ones. Key Responsibilities Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences. Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining (e.g., masked modeling, contrastive learning), and downstream fine-tuning. Train large models efficiently on GPU infrastructure using mixed-precision training, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP, FSDP, or equivalent). Build and optimize feature pipelines on Databricks and Spark, transforming raw behavioral events into high-quality model inputs. Translate prototypes into production ML systems — scalable, reliable, and observable — and drive inference performance through architectural and serving-side optimization. Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and
About the Role Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse, and misuse using intelligent systems worldwide. In this position, you will build and develop machine learning models from scratch, including custom transformer-based frameworks, to identify fraudulent actions, stop account sharing, and protect the experience of hundreds of millions of users. You will manage the entire model lifecycle: raw behavioral data and feature engineering, architecture development, large-scale GPU training, deployment, and monitoring. The team is actively building in-house behavioral foundation models that learn identity-preserving representations from long sequences of user activity. This is a role for an engineer who wants to own deep learning systems end-to-end — not consume pre-built ones. Key Responsibilities Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences. Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining (e.g., masked modeling, contrastive learning), and downstream fine-tuning. Train large models efficiently on GPU infrastructure using mixed-precision training, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP, FSDP, or equivalent). Build and optimize feature pipelines on Databricks and Spark, transforming raw behavioral events into high-quality model inputs. Translate prototypes into production ML systems — scalable, reliable, and observable — and drive inference performance through architectural and serving-side optimization. Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and
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