Consumer Experience Lead in India

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Get to know Okta Okta is The World’s Identity Company. We free everyone to safely use any technology, anywhere, on any device or app. Our flexible and neutral products, Okta Platform and Auth0 Platform, provide secure access, authentication, and automation, placing identity at the core of business security and growth. At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - we’re looking for lifelong learners and people who can make us better with their unique experiences. Join our team! We’re building a world where Identity belongs to you. Authentication Experience Okta supports a wide variety of organizations across both the Workforce and Consumer spaces. These diverse environments present unique challenges; no two organizations have the same requirements when it comes to the desired authentication experience for their end users. We are dedicated to striking the perfect balance between robust security and effortless usability. We are constantly building cutting-edge authentication mechanisms designed to make access seamless, specifically tailored for the fast-paced, user-centric world of consumer identity and security-centric world of workforce identity. If you are driven to innovate, passionate about the intersection of product flexibility and security, and want to help shape how the world connects to technology—we’d love for you to join us. Job Duties and Responsibilities: Collab

Role Overview: As the Key Account Management, you will be responsible for managing and growing Paytm’s relationships with State Road Transport Corporations (RTCs) and private bus operators in your assigned region. You will drive strategic partnerships, ensure competitive supply availability, and take end-to-end ownership of regional revenue, pricing health, and operational performance. Key Responsibilities: Partnership & Supply Management Build, maintain, and expand strong working relationships with RTCs and top private operators in the region. Onboard new operators and ensure digital adoption of Paytm Travel tools and dashboards. Negotiate commission structures, payout terms, and commercial agreements aligned with platform objectives. Revenue & Performance Management Own and drive revenue targets, load factors, and seat fill rates for your region. Collaborate with central pricing and analytics teams to implement dynamic pricing strategies. Track revenue leakage, cancellations, and penal charges; work with operators to resolve issues. Market & Competition Analysis Regularly benchmark fares, seat inventory, and operator quality against regional competitors. Provide actionable insights on price trends, route-level demand patterns, and consumer behavior. Recommend product/UX changes based on feedback from operators and market observations. Operational Excellence Monitor SLA adherence on seat confirmations, refunds, and cancellation handling. Collaborate with customer support and tech teams to address escalations and resolve partner issues. Run regular health checks and audits on partner performance and NPS metrics. What We're Looking For: - 4–10 years of experience in bus ticketing, logistics, e-commerce, or B2C travel partnerships - Prior experience working with state transport corporations or regional aggregators is a strong plus - Strong commercial acumen with negotiation experience - Data-savvy: Comfortable working with dashboards, Excel, and BI tools to deriv

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 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

Client Onboarding Manager – Inference & Agentic AI | Paytm (Noida) About the Role Paytm is a pioneer of digital payments in India, serving over 450 million consumers and 45 million merchants across payments, financial services, and commerce. Over the years, Paytm has built deep in-house capabilities across technology, data, and operations to operate at scale with high reliability. Paytm is building a full stack AI platform focussed on Inference and Agents, enabling large enterprises to deploy AI driven automation across sales, service, operations, and analytics. The Inference and Agentic AI team operates as a cross functional unit spanning engineering, product, data science, business management, and sales, and owns the full lifecycle of AI solutions from opportunity discovery to deployment and scale. Key Responsibilities Own client onboarding from sales handover to go-live. Understand client workflows, systems, and integration requirements. Coordinate with Product, Engineering, and Client teams for seamless deployment. Manage onboarding timelines, milestones, and stakeholder communication. Conduct client training sessions and drive product adoption. Track onboarding KPIs, client satisfaction, and implementation success. Gather client feedback and support continuous product improvements. Ideal Candidate 2–5 years of experience in Client Onboarding, Implementation, Customer Success, or Solutions Engineering. Experience in SaaS, Fintech, Enterprise Technology, or AI products preferred. Good understanding of APIs, integrations, CRM systems, and enterprise workflows. Strong project management, problem-solving, and stakeholder management skills. Excellent communication and client-facing abilities. Bachelor’s degree in Engineering, Business, or related field. Location: Noida Why Join? Be part of Paytm’s fast-growing AI business and work closely with enterprise clients to deliver cutting-edge AI-driven automation solutions at scale.

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

About Bazaarvoice At Bazaarvoice, we create smart shopping experiences. Through our expansive global network, product-passionate community & enterprise technology, we connect thousands of brands and retailers with billions of consumers. Our solutions enable brands to connect with consumers and collect valuable user-generated content, at an unprecedented scale. This content achieves global reach by leveraging our extensive and ever-expanding retail, social & search syndication network. And we make it easy for brands & retailers to gain valuable business insights from real-time consumer feedback with intuitive tools and dashboards. The result is smarter shopping: loyal customers, increased sales, and improved products. The problem we are trying to solve : Brands and retailers struggle to make real connections with consumers. It's a challenge to deliver trustworthy and inspiring content in the moments that matter most during the discovery and purchase cycle. The result? Time and money spent on content that doesn't attract new consumers, convert them, or earn their long-term loyalty. Our brand promise : closing the gap between brands and consumers. Founded in 2005, Bazaarvoice is headquartered in Austin, Texas with offices in North America, Europe, Asia and Australia. It’s official: Bazaarvoice is a Great Place to Work in the US , Australia, India, Lithuania, France, Germany and the UK! The Human Resources function is responsible for providing human resources (HR) support to a major business unit or functional area. This includes any issues relating to talent acquisition, compensation and benefits, employee relations, training and development, and HR operations. The Analytics, Modeling, & Reporting area is responsible for analyzing and reporting on data sets for a particular area to evaluate, recommend and support the implementation of business strategies and operational processes. The Human Resources Information System (HRIS) and Reporting focus specializes

About Bazaarvoice At Bazaarvoice, we create smart shopping experiences. Through our expansive global network, product-passionate community & enterprise technology, we connect thousands of brands and retailers with billions of consumers. Our solutions enable brands to connect with consumers and collect valuable user-generated content, at an unprecedented scale. This content achieves global reach by leveraging our extensive and ever-expanding retail, social & search syndication network. And we make it easy for brands & retailers to gain valuable business insights from real-time consumer feedback with intuitive tools and dashboards. The result is smarter shopping: loyal customers, increased sales, and improved products. The problem we are trying to solve : Brands and retailers struggle to make real connections with consumers. It's a challenge to deliver trustworthy and inspiring content in the moments that matter most during the discovery and purchase cycle. The result? Time and money spent on content that doesn't attract new consumers, convert them, or earn their long-term loyalty. Our brand promise : closing the gap between brands and consumers. Founded in 2005, Bazaarvoice is headquartered in Austin, Texas with offices in North America, Europe, Asia and Australia. It’s official: Bazaarvoice is a Great Place to Work in the US , Australia, India, Lithuania, France, Germany and the UK! About the Team You will be part of a highly skilled distributed team that takes care of data enrichment platform responsible for data enrichment pipelines and for supporting bulk exports to clients and search partners. The team primarily involves in generating large-scale datasets for exporting to internal and external consumers. .We are interested in engineers who are hands-on and willing to dig into tough problems. We love people who are willing to explore new areas, learn quickly, and apply their skills to challenging issues How you’ll make an impact: - Design, d

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)

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.

SAP Fiori developer Chennai, Tamil Nadu, India Full Time Direct Hire Job Summary: Responsibilities • Develop and maintain SAP FIORI applications. • Collaborate with business stakeholders to understand requirements and translate them into technical specifications. • Implement custom and standard SAP FIORI applications using SAP Web IDE. • Perform unit testing and troubleshoot issues in SAP FIORI applications. • Ensure seamless integration with existing SAP systems and modules. • Maintain documentation for development processes and user guides. • Stay updated with the latest SAP FIORI best practices and technologies. Qualifications • Bachelor or master degree in computer science, Information Technology, or related field. • 6 years of experience in SAP Frontend development (SAPUI5 / Fiori) • Experience in Fiori Design patterns, expertise in UI Theme designer • Expertise with annotations and SAP smart controls • Proficient in SAPUI5 and Fiori framework: Deep understanding of SAPUI5 controls, components, routing, and data binding mechanisms. • Front-end development skills: Expertise in HTML, CSS, JavaScript, and related web technologies. • OData knowledge: Ability to consume and create OData services for data integration with backend systems. • Experience in developing UI5 Freestyle apps. • SAP ABAP understanding: Basic understanding of ABAP programming for backend integration and customization. • Fiori Gateway services development skills • Experience with SAP BAS and SAP Web IDE • Experience in Fiori Launchpad configuration • Experience in Fiori Elements and CDS views • Must be good at JavaScript’s, JQUERY, XML, JSON and HTML5, Layout designing with CSS • Experience in SAP BTP Platforms tools SAP Build / SAP Build Process Automation / SAP workzone - Added Value • Experience in SAP BTP Frameworks CAP or RAP - Added Value • Experience in web service and REST API integration - Added Value • Ability to solve problems independently, showing perseverance and requiring minima

AANZARA CORPORATE IS HIRING! Join Our Growing Team AANZARA Corporate is looking for passionate and career-driven professionals to join our expanding team across multiple departments. Freshers and experienced candidates are welcome to apply. Locations: Vallioor Tirunelveli Nagercoil Coimbatore FMCG Department - Channel Sales Executive (Field Sales) Salary: 30,000 40,000/month Job Responsibilities: Visit retailers, Consumers, and supermarkets. Generate new business and maintain customer relationships. Promote FMCG products and achieve monthly sales targets. Collect orders and ensure product availability. Submit daily sales and market reports. Eligibility: 12th / Any Degree Freshers & Experienced Bike & Valid Driving Licence Mandatory Good Communication Skills HR Department HR Recruiter (Office Based) HR Marketing Executive Location: Vallioor Salary: 20,000/month Job Responsibilities: Source and screen candidates. Schedule interviews and coordinate recruitment. Handle employee onboarding and HR documentation. Maintain recruitment reports and candidate database. Support HR operations and employee records. Eligibility: Any Degree / MBA Preferred Good Communication Skills Basic Computer Knowledge Freshers & Experienced Software Department Location: Vallioor Tirunelveli Salary: 20,000+ (Based on Skills & Experience) Open Positions Frontend Developer Cloud Engineer Figma UI/UX Designer Testing Engineer Skills Required: Frontend Developer HTML, CSS, JavaScript React.js / Next.js Responsive Web Design Git & API Integration Cloud Engineer AWS / Azure / Google Cloud Linux & Networking CI/CD Pipelines Docker & Kubernetes (Preferred) Figma UI/UX Designer Figma UI/UX Design Wireframes & Prototypes Design Systems Testing Engineer Manual & Automation Testing Test Case Preparation Bug Reporting STLC / SDLC Knowledge Benefits Attractive Salary Package Performance Incentives Career Growth Opportunities Professional Training Supportive Work Environment Long-Term Career

Pre-sales Manager, Inference and Agentic AI - Paytm Location: Noida Company: Paytm About Paytm: Paytm is a pioneer of digital payments in India, serving over 450 million consumers and 45 million merchants across payments, financial services, and commerce. Over the years, Paytm has built deep in-house capabilities across technology, data, and operations to operate at scale with high reliability. Paytm is building a full stack AI platform focussed on Inference and Agents, enabling large enterprises to deploy AI driven automation across sales, service, operations, and analytics. The Inference and Agentic AI team operates as a cross functional unit spanning engineering, product, data science, business management, and sales, and owns the full lifecycle of AI solutions from opportunity discovery to deployment and scale. Pre-Sales Manager | Paytm AI Key Responsibilities 🔹 Partner with Enterprise Sales teams to understand client requirements and map them to Paytm AI solutions. 🔹 Conduct discovery sessions, identify business challenges, and create solution recommendations. 🔹 Deliver customized product demos, solution walkthroughs, and Proof of Concepts (POCs) for enterprise clients. 🔹 Act as a technical advisor, addressing product, integration, architecture, and implementation-related queries. 🔹 Create solution documents, proposal inputs, RFP responses, technical FAQs, and sales enablement assets. 🔹 Collaborate with Product, Engineering, Onboarding, and Business teams to ensure seamless solution delivery. 🔹 Capture client feedback and provide insights to improve product capabilities and customer experience. 🔹 Support enterprise deal closures through strong solutioning, stakeholder management, and technical consulting. Ideal Candidate ✔ 3–6 years of experience in Pre-Sales, Solution Consulting, Solutions Engineering, Product Consulting, or Enterprise Technology roles. ✔ Strong understanding of APIs, integrations, SaaS platforms, enterprise applications, and solut