Strategic Account Manager

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. For over 180 years, 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. Department – Sales & Marketing Solutions Designation - Strategic Account Manager Experience – 5-8 years in Corporate Sales Reports to: Unit Manager Role: New Business Development Keen to do conceptual selling of solutions: Marketing Solution & Risk Related Solutions

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. Base Location: Indore, India Role Summary: We are seeking a results-driven professional to drive B2B new client acquisition across Madhya Pradesh, Chhattisgarh, and Gujarat. The role involves identifying business opportunities, building relationships with key decision-makers, managing the sales pipeline, and achieving revenue targets through the acquisition of new B2B clients.

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. For over 180 years, 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. Designation: Strategic Account Manager Business: CBIG Function: Sales Location: Delhi

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 Team Paytm's Unified Payments Interface (UPI) offering that enables users to make instant bank-to-bank payments directly from their linked bank accounts. About the Role We are looking for an AI Product Manager to lead the development of Agentic AI solutions for Paytm's UPI ecosystem. The role focuses on building intelligent, autonomous AI agents that enhance payment experiences, automate customer support, detect fraud, provide personalized financial insights, and optimize payment success rates. Key Responsibilities -Define product strategy and roadmap for AI-powered UPI experiences. -Build autonomous AI agents for payments, dispute resolution, customer assistance, and transaction recommendations. -Collaborate with Engineering, Data Science, Design, and Risk teams to deliver AI-first products. -Leverage LLMs, AI agents, and workflow automation to improve user engagement and operational efficiency. -Drive experimentation using analytics, customer insights, and A/B testing. -Ensure compliance with NPCI guidelines, privacy, and responsible AI practices. Superpowers/ Skills that will help you succeed in this role: · -3–8 years of Product Management experience in FinTech, Payments, or AI products. -Understanding of UPI, digital payments, and banking ecosystems. -Experience with Generative AI, LLMs, Agentic AI frameworks, and AI product development. -Strong analytical skills with SQL and product analytics tools. -Excellent stakeholder management and execution capabilities. Why join us: A collaborative output driven program that brings cohesiveness across businesses through technology Improve the average r

Work Experience Required: 8 - 12 Years Experience in programing (Python, R, SQL, NoSQL,Spark) with ML tools & Cloud Technology (AWS, Azure, GCP) Experience in Python libraries such as numpy, pandas, scikit-learn, tensor-flow, scapy, scrapy, BERT etc. Good understanding in statistics, and ability to design statistical hypothesis testing to aid formal decision making. Develops predictive models using Machine Learning algorithms (SVM, Random Forest, Neural Network, Decision Tree, Logistic Regression, K-mean Clustering, linear regression, PCA etc.) Engaging with clients, understanding complex problem statements, and offering solutions in the domains of Retail, Pharma, Banking, Insurance, etc. Contribute to internal product development initiatives related to data science. Develop data science roadmap, and guide data scientist to meet their deliverables. Handling end-to-end client AI & analytics programs. Your role will be a combination of hands-on contribution, technical team management, and client interaction. Proven ability to discover solutions hidden in large datasets and to drive business results with their data-based insights Drive excellent project management required to deliver complex projects, including effort/time estimation. Be proactive, with full ownership of the engagement. Build scalable client engagement level processes for faster turnaround & higher accuracy Define Technology/ Strategy and Roadmap for client accounts, and guides implementation of that strategy within projects Run regular project reviews and audits to ensure that projects are being executed within the guardrails agreed by all stakeholders Manage the team-members, to ensure that the project plan is being adhered to over the course of the project Manage the client stakeholders, and their expectations, with a regular cadence of weekly meetings and status updates. Build a trusted advisor relationship with the IT management at clients and internal accounts leadership. Build

Role Overview As a Key Account Manager / Enterprise Account Manager, you will own strategic relationships with leading D2C, digital-first, and retail brands. You will help them drive customer acquisition, engagement, retention, and support through the Paytm Pi Marketing platform—our AI-powered customer engagement platform. In this role, you will be responsible for driving new business, growing existing accounts, and positioning our comprehensive suite of solutions across Enterprise CPaaS, AI Agents, and Omnichannel Customer Engagement. Key Responsibilities 1. Business Development & Revenue Portfolio Ownership: Own the acquisition and growth of a strategic portfolio of D2C, e-commerce, and retail brands. Target Achievement: Consistently deliver on annual revenue, gross margin, and account growth targets. Expansion: Proactively identify and execute cross-sell and upsell opportunities across the full product suite. Stakeholder Engagement: Build, nurture, and manage strong executive relationships with CXOs and decision-makers across Marketing, CRM, Digital, Customer Experience (CX), Support, Product, and E-commerce teams. 2. Sales & Account Growth End-to-End Sales Lifecycle: Lead the complete sales lifecycle—from initial solution mapping and commercial negotiation to final closure and account expansion. Strategic Planning: Develop and execute comprehensive account plans for key enterprise clients. Adoption & Performance: Drive long-term product adoption, platform usage, and account retention. Metrics & KPIs: Continuously track key business metrics, including revenue growth, adoption rates, and customer success KPIs. 3. Solutioning Understand complex customer challenges and architect tailored solutions across: Enterprise CPaaS: WhatsApp, SMS, Voice, Email, and RCS AI Agents Omnichannel Customer Engagement Conversational Commerce 4. Cross-Functional Collaboration Product & Engineering: Share critical customer feedback, adoption barriers, feature requests, and market