Business Development Representative in India

About Us: 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. Job Summary: We are seeking a highly motivated and experienced Team Lead to manage a team of Customer Experience Specialists within our Flights Line of Business. The ideal candidate will have a strong understanding of the travel industry excellent analytical skills, and proven people management abilities. This role is critical in ensuring a seamless and positive experience for our customers booking flights through our platform. Responsibilities: Team Management: ● Supervise, coach, and mentor a team of Customer Experience Specialists [Team of 15 Members]. ● Conduct regular performance reviews, identify training needs, and create development plans for team members. ● Monitor team performance against key metrics (e.g., resolution time, customer satisfaction scores, first call resolution). ● Manage team schedules and ensure adequate staffing levels to meet customer demand. ● Foster a positive and collaborative team environment. Customer Experience: ● Ensure the team provides exceptional customer service across all channels (phone, email, chat, social media). ● Handle escalated customer issues and complex inquiries. ● Identify and address trends in customer complaints and feedback. ● Proactively identify opportunities to improve the customer experience. Operational Excellence: ● Monitor key performance indicators (KPIs) and identify areas for improvement in operational efficiency. ● Implement process improvements and best practices to enhance team productivity and customer satisfaction. ● Collaborate with other departments (e.g., product, engineering, growth and finance) to resolve customer issues and

About the Team The Internal Controls function sits within the broader Finance Risk Management (FRM) organization and plays a key role in strengthening the integrity, scalability, and reliability of OpenAI’s finance-critical operations. Our team designs and governs control frameworks that support accurate, transparent financial results and responsible business execution. We focus on business-process and operational controls across areas such as payments, equity, procure-to-pay, payroll and HR processes, strategic investments, M&A, financial close, third-party dependencies, systems, and other high-risk workflows. We work closely with Controllership, Procurement, Legal, People, Corporate Development, Strategic Finance, Finance Systems, Compliance, and business operators to ensure processes are well-designed, well-documented, and audit-ready. As part of FRM, we contribute to OpenAI’s overall financial risk posture by supporting audit readiness, third-party risk considerations, operational risk governance, systems oversight, and ongoing process improvement across the finance ecosystem. Together, we help build the foundation of trust and operational clarity needed for OpenAI to scale responsibly. About the Role We’re seeking a Senior Manager, Financial Risk Management to help shape and scale OpenAI’s risk and controls framework across several dynamic business domains. This role will focus on identifying, prioritizing, and mitigating operational and financial risk across areas such as payments, equity, strategic investments, procurement, people processes, systems, third-party dependencies, and other finance-critical workflows. This person will serve as a senior cross-functional partner to Finance, Controllership, Legal, People, Procurement, Corporate Development, Payments, Systems, and business operators to design and implement controls that are practical, scalable, and capable of holding up in a fast-changing environment with limited structure. The role requires someo

About the Team The AI Deployment Engineering team is responsible for ensuring the safe and effective deployment of Generative AI applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, working to build an effective backlog of GenAI use cases for their industry and drive them to production through strong technical guidance. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role We are seeking a technically proficient, business-minded AI Deployment Engineer to help push the frontier of advanced AI with our strategic startup customers. You'll work with some of the most exciting AI startups in the world, guiding them through ideation, development, delivery, and scaling to accelerate and maximize the value of what they build on our platform. You will have the opportunity to work on the most novel and creative use cases being built on our API, serving as a critical partner in collecting and delivering high-fidelity product and model feedback internally. You will collaborate closely with Sales, Solutions Engineering, Applied Research, and Product teams, and you will report to the Startups Solutions Architecture Lead. This role is based in Tokyo. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Partner closely with strategic startup customers as their technical thought partner to build novel applications on our API, helping them rapidly move from ideation to scale. Provide proactive guidance to maximize business impact and accelerate application development. Experiment and prototype alongside customers, demonstrating practical use cases. Contribute to open-source resources and scale the function by sharing knowledge, codifying best practices, and publishing useful resources. Synthesize and deliver valuable feedback to the Product and Research

About the Team The Technical Success team is responsible for ensuring developers and enterprises are successful in building scalable production applications with the OpenAI API platform. We guide and support customers to achieve maximum benefits, value, and adoption from deploying our highly-capable models. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role We are looking for a technically savvy and business-minded AI Deployment Engineer to deeply partner with our most strategic and high-impact platform customers, guiding them through application ideation, development, delivery, and scale to accelerate and maximize the value of what they build with our platform. You will have the opportunity to work on the most novel and creative use cases being built on our API, serving as a critical partner for collecting and delivering high fidelity feedback to Product and Research teams. This role is based in Tokyo, Japan. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees In this role, you will: Deeply embed with our most strategic platform customers, serving as their technical thought partner in ideating and building novel applications on our API. Proactively provide guidance to our customers on how to maximize business impact from their applications, accelerating their time to value. Experiment and prototype solutions with and for your customers. Forge and manage relationships with our customers’ leadership and stakeholders to ensure their application’s successful deployment and scale. Contribute to our open-source developer and enterprise resources. Scale the AI Deployment Engineering function through sharing knowledge, codifying best practices, and publishing notebooks to our internal and external repositories. Validate, synthesize, and deliver high-signal feedback to the Product and Research teams. Use your expertise i

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. The Role: We are looking for a highly skilled AI Tool / Agent Testing Engineer to evaluate, validate, and ensure the reliability of AI agents, AI automation tools, and agentic workflows used across our analytics platform. This role blends test engineering, GenAI understanding, Python/PySpark proficiency, and agent development lifecycle knowledge. You will work closely with Data Science, AI Engineering, and Platform teams to ensure that AI agents behave predictably, safely, and in alignment with business and compliance requirements.

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. Why We Work at Dun & Bradstreet We are at a transformational moment in our company journey - and we’re so excited about it. Each day, we are finding new ways to strengthen our award-winning culture, and to accelerate creativity, innovation and growth. Our purpose is to help customers improve business performance with Dun & Bradstreet’s Data Cloud and Live Business Identity, and we’re wildly passionate and committed to this purpose. So, if you’re looking to make an immediate impact at a company that welcomes bold and diverse thinking, come join us! The Role: We are looking for an experienced AI Engineer to design, build, and operationalize AI driven solutions for our global Analytics organization. The ideal candidate will have strong hands on expertise in Python, PySpark, agentic workflow development, and modern GenAI frameworks, with experience building scalable applications using LLMs, retrieval systems, and automation pipelines. You will work closely with data scientists, MLOps engineers, and business stakeholders to build intelligent, production grade systems that power

Key Responsibilities:- 1. Channel Ownership & Growth Own end-to-end affiliate channel performance from partner onboarding to scale Drive acquisition with a focus on quality metrics (IR FT), not just volume Build a sustainable and scalable affiliate growth engine 2. Partner Ecosystem Development Build and manage relationships with affiliate networks (vCommission, Admitad, etc.), fin-influencers, publishers, and deal platforms Onboard and scale high-quality direct affiliates and strategic partners Identify and unlock new affiliate growth opportunities (content, comparison platforms, communities, etc.) 3. DRA Channel Buildout Set up and scale the DRA (Digital Referral Agent) channel Ensure compliance with regulatory requirements and internal policies Define onboarding, training, tracking, and payout mechanisms for DRAs 4. Performance & Optimization Optimize payouts, funnels, and landing journeys to improve CAC and conversion rates Drive continuous experimentation across creatives, messaging, and partner cohorts Improve affiliate-driven funnel metrics: Signup KYC IR FT 5. Analytics & Governance Own channel-level reporting: CAC, ROI, cohort performance, partner-level metrics Implement strong tracking, attribution, and fraud detection mechanisms Ensure traffic quality and prevent misuse or arbitrage 6. Cross-functional Collaboration Work closely with Product, Marketing, Compliance, and Analytics teams Influence onboarding flows and growth experiments for affiliate traffic Align affiliate strategy with broader acquisition and business goals Requirements 810 years of experience in affiliate / performance marketing, with mandatory experience in stock broking / fintech Strong understanding of broking acquisition funnels (Signup KYC IR First Trade) Proven track record of scaling affiliate channels with measurable ROI Hands-on experience with affiliate networks (vCommission, Admitad, Impact, etc.) and direct partnerships Experience or exposure to DRA model and regulatory fra

About Us: 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 role: As an Senior Engineering Manager, you will be developing the detailed design structure, implementing the best practices and coding standards, leading a team of developers for successful delivery of the project. You will be working on design, architecture and hands-on coding. Requirements: 9 to 13 years in Technical development with 5+ years in Providing technical leadership for high performance teams. Work closely with business and product teams to understand the requirements, drive design, architecture and influence the choice of technology to deliver solutions working closely with architects and leadership team. Build robust, scalable, highly available and reliable systems using Micro Services Architecture based on Java, Spring boot. Improve Engineering and Operational Excellence by identifying and building the right solutions for observability and manageability. Keep the tech stack current with the goal to optimize for scale, cost and performance. Migrate workloads to public cloud. Attitude to thrive in a fun, fast-paced environment. Serve as a thought leader and mentor on technical, architectural, design and related issues. Proactively identify architectural weaknesses and recommend appropriate solutions. Preferred Qualification : Bachelor's/Master's Degree in Computer Science or equivalent Skills that will help you succeed in this role: Tech Stack: Lang: Java, DB: RDBMS, Messaging: Kafka/RabbitMQ, Caching: Redis/Aerospike, Micro services, AWS. Strong experience in scaling, performance tuning & optimization at both API and storage layers Hands-on leader, and problem solver with a passion for e

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE We are seeking an experienced MDM Product Data Analyst to support the management, quality, governance, and transformation of product master data across enterprise systems. The role will work closely with Product, Business, Engineering, Data Governance, and technical teams to analyze complex product data, define and validate data quality rules, support MDM onboarding and migration, and drive resolution of data issues. The ideal candidate combines strong product data and MDM expertise with advanced SQL, analytical problem-solving, and practical use of AI/GenAI to improve data analysis and delivery. WHAT YOU'LL DO • Analyze, manage, and reconcile product master data across multiple source systems, MDM platforms, and downstream applications. • Leverage AI/GenAI tools to accelerate data profiling, analysis, data quality rule development, documentation, issue investigation, and root-cause analysis. • Translate business and product requirements into clear data requirements, attribute definitions, validation rules, and analytical specifications. • Perform detailed data profiling to identify quality issues, gaps, inconsistencies, anomalies, duplicates, and data integrity risks across product attributes and relationships. • Define, document, implement, and validate data quality rules covering completeness, accuracy, validity, consistency, uniqueness, and business-rule compliance. • Develop source-to-target analysis and reco

WHO WE ARE: Zinnia is the leading technology platform for accelerating life and annuities growth. With innovative enterprise solutions and data insights, Zinnia simplifies the experience of buying, selling, and administering insurance products. All of which enables more people to protect their financial futures. Our success is driven by a commitment to three core values: be bold, team up, deliver value – and that we do. Zinnia has over $180 billion in assets under administration, serves 100+ carrier clients, 2500 distributors and partners, and over 2 million policyholders. WHO YOU ARE: You are a Techno-functional Product Manager with 5+ years of Product Management experience who thrives at the intersection of technology and business. You will be responsible for driving product initiatives, managing integrations, and collaborating closely with cross-functional teams to deliver scalable and impactful solutions. WHAT YOU’LL DO: Contribute into the execution of all product lifecycle processes for products, including product research, market research, competitive analysis, planning, positioning, roadmap development, requirements development, and product launch Analyse consumer needs, current market trends, and potential partnerships from an ROI and build vs. buy perspective Gain a deep understanding of existing systems, customer experience, identify and fill product gaps and generate new ideas that grow market share, improve customer experience and drive growth Works with a cross-functional team to ensure fulfilment of product requirements, evaluates product performance and transition products from development to commercialization. Assists in determining product delivery and deployment dates for new product releases, feature and maintenance releases and regular corrective service or service pack releases. Assist in Developing and executing proposed business and technical solutions. Work with engineering teams to design and manage API integrations across platforms. Assist

About the Role We are looking for a Director of Engineering – AI & Full-Stack SaaS to lead the engineering strategy and execution for a highly scalable, enterprise-grade SaaS platform. This role is ideal for a strong engineering leader who combines deep software engineering expertise, enterprise SaaS experience, cloud-native architecture, full-stack product development, and practical AI/GenAI adoption . The successful candidate will lead multiple engineering teams, drive architectural and technical decisions, improve engineering velocity and quality, and help embed AI across the software development lifecycle and product engineering ecosystem. Key Responsibilities Lead and mentor multiple engineering teams responsible for building and delivering enterprise SaaS products. Define and execute the engineering strategy, technical roadmap, architecture and development standards . Drive development of highly scalable, secure, reliable and cloud-native SaaS applications. Provide technical leadership across backend, frontend, APIs, microservices and distributed systems . Drive adoption of AI/GenAI tools and capabilities across the engineering lifecycle, including development, testing, code quality, productivity and automation. Partner closely with Product, Architecture, DevOps, Security and other cross-functional teams to deliver business-critical capabilities. Establish engineering best practices around design, coding, testing, CI/CD, observability, performance and reliability . Own engineering delivery, quality, scalability and operational excellence across multiple product areas. Identify and resolve complex technical and architectural challenges. Build a high-performing engineering culture focused on innovation, ownership, collaboration and continuous improvement . Evaluate emerging technologies and identify opportunities to leverage AI and automation to improve engineering productivity and product capabilities. Drive technical modernization and evolution of existing

As a Customer Success Associate, you will focus on the long term strategic relationship with our customers, drive adoption, and identify growth opportunities across a high volume of Datadog customers to ensure successful product use and retention. You’ll be an advocate for the customer internally and focus on providing a positive experience for a high volume of accounts. Associates follow a well-defined methodology to identify the customer’s unique needs and clearly convey the value of the Datadog product. As we scale our Customer Success team, furthering personal development and team success is a top priority. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them What You’ll Do: Identify target opportunities, manage the full sales cycle and proactively build strategic relationships with customers and focus on retention. Manage requests from your book of business such as but not limited to technical support escalations, billing questions, documentation/enablement requests to ensure a positive customer experience Pivot account management strategy based on different customer requirements and needs seamlessly and efficiently Act as an advisor to customers to ensure they’re leveraging the solution effectively Monitor and identify usage trends to uncover renewal risks and support greater adoption rates Collaborate cross-functionally with internal Datadog teams (support, product, finance, and legal) Who You Are: Customer-minded, always trying to provide the most value possible Driven and motivated by a career in sales with a strong desire to grow a career in Customer Success. A strong communicator (written and verbal) with excellent attention to detail Experienced in independently negotiating contract terms and overcoming pricing objections for up-sell/cross sell a

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. Title: Senior Software Engineer, Lifecycle Management Company Description: Okta is the leading independent provider of enterprise identity. The Okta Identity Cloud enables organizations to securely connect the right people to the right technologies at the right time. With over 6,500 pre-built integrations to applications and infrastructure providers, Okta customers can easily and securely use the best technologies for their business. Over 7,950 organizations, including 20th Century Fox, JetBlue, Nordstrom, Slack, Teach for America and Twilio, trust Okta to help protect the identities of their workforces and customers Position Description: We are looking for an experienced Senior Software Engineer to work on our Onboarding and Lifecycle Management (LCM) Platform team with focus on enhancing and managing services for importing, syncing and provisioning identities and access policies i.e., users, groups, roles, entitlements, etc. These features allow customers the flexibility to link and enhance their business processes with Okta’s identity management product. This role is to build, design solutions, and maintain our platform for scale. The ideal candidate will be naturally curious and has experience building software systems to manage and deploy reliable and performant infrastructure and product code at scale on a cloud infrastructure. Job Duties and Responsibilities: Work with senior engineering team in major development projects, design and implementation C

Job Title Project Manager – CAPA & Complaints Job Description Project Manager – CAPA & Complaints Your Role: Coordinate teams across Quality, R&D, Engineering, Manufacturing, Operations, Supply Chain, Procurement, Regulatory, Service and Customer Quality. Identify recurring CAPA themes and opportunities for systemic improvement. Coordinate implementation of corrective/preventive actions, including process, product, system and documentation changes. Maintain CAPA dashboards and management reporting. Drive accountability across CAPA action owners. Own and track business KPIs related to complaint and investigation timelines, quality, and throughput. Provide regular KPI, progress, and risk updates to leadership and key stakeholders. Drive timely closure of complaints and investigations through structured follow-up with action owners. You're the Right Fit If: Bachelor's or Master's degree in Mechanical/Electronics Engineering Experience: 10+ years in Project Management , preferably with CAPA and Complaints Handling in Medical Devices. Strong knowledge of Quality Management Systems and risk-management principles. Skills : Strong data analytics skills with the ability to derive insights from operational and performance data. Excellent stakeholder management and communication skills across multiple organizational levels. Strong presentation and reporting capabilities, including development of executive-level dashboards and updates. Proven ability to drive accountability and coordinate cross-functional teams without direct authority. Experience in process improvement, operational excellence, and AI

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: This team involves in making a difference. A lot of contingency and new challenges are encouraged within the team to do stuff that is meaningful for those we serve. We are successful, and our successes are rooted in our people's collective energy and unwavering focus on the employees, and that's how it will always be change management in Human Resources. About the role: This role includes leading the HR Function centrally to partner and advise the business. HR Business Partner(HRBP) will be responsible for working closely with the business to support the achievement of growth objectives and future talent needs. The HRBP has overall accountability for the assigned Stakeholders and manages a span of 300-400 product/tech employees, working closely with the business and HR leadership to implement the HR strategy. Expectations/ Requirements : 1. Drive governance on critical human resource metrics such as retention, and engagement cost for a fast-paced business. 2. Engage work with key internal and external partners in a matrixed relationship for CB, Staffing, HRSS, and the business. 3. Operate independently to ensure employee satisfaction and development of the team Train, mentor, and lead HR initiatives and Best Practices. 4. Lead the way in implementing change initiatives related to culture, performance, recognition, and policies responsible for HR operations, Employee Relations, and Business HR teams. 5. Promote alignment and collaboration across the organization, driving synergy and perspective, demonstrating the common process and consistent messaging. 6. Understand the business and its cha