Services Sales Consultant in India

DR ASHWANI KUMAR VIJ : have been retained by a growing organisation, Providing IT Infrastructure / Engineering Design Services to select one : Marketing/Business Development Manager. KRA / Position Description : We are looking for a business development professional having around 8-10 years’ experience. The candidate should have a proven track record of successful international deal closures in IT Services or Engineering Design Services in Infrastructure / Construction segment. Candidate should have international sales experience in US, Europe and/or Australia regions and must have travelled to above said geographies in the past. Experience / Position Requirements / Profile : Minimum of 8 years’ of relevant international experience. Proven track record of successful deal closures with international customers in the IT Services or Engineering Design Services in Infrastructure / Construction segment. Must be comfortable with managing entire lifecycle right from prospecting, lead generation to deal closures and account management. Must be presentable with superior English speaking skills. Any other international language known would be an added advantage. Must have prior international travel experience and should be comfortable with foreign travels. Responsibilities: Manage the entire lifecycle of a customer relationship right from lead generation to successful deal closures. Identifying sales opportunities through primary, secondary research including building up and maintaining the prospects database. Prospect for potential new clients and turn this into increased business. Meet potential clients by growing, maintaining, and leveraging business network. Participation in events/conferences to build a sales pipeline. Work with technical staff and other internal colleagues to meet customer needs. Using knowledge of the market and competitors, identify and develop the company’s unique selling propositions and differentiators. Forecast sales targets

inbound telecaller's job description includes: Customer service: Answering customer calls, addressing inquiries and complaints, and providing exceptional service Sales: Generating sales by upselling and cross-selling, and meeting or exceeding sales targets Product information: Providing information on products and services, including features, bene fits, and pricing Customer data: Gathering customer details, such as names, addresses, and phone numbers Customer relationships: Building and maintaining positive relationships with customers and prospects Record keeping: Maintaining accurate records of customer interactions in a database Sales pitches: Delivering and adjusting sales pitches based on the customer

inbound telecaller's job description includes: Customer service: Answering customer calls, addressing inquiries and complaints, and providing exceptional service Sales: Generating sales by upselling and cross-selling, and meeting or exceeding sales targets Product information: Providing information on products and services, including features, benefits, and pricing

Marketing Director- Paytm (Inference and Agentic AI) 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. Role Overview: Paytm is looking to hire a Marketing Director to own B2B marketing, demand generation, product marketing, and sales enablement for Paytm’s Inference and Agentic AI products. This is a managerial role that will lead a team of marketing managers and drive marketing across enterprise clients and mid market merchants. The role will be responsible for building market presence, qualified pipeline, product launches, agentic marketing initiatives, and sales enablement programs across Paytm AI products including Pi Commerce and future AI agents. The candidate will own positioning, messaging, GTM communication, lead generation, demand generation, account engagement, and customer marketing across digital, offline, and agentic channels. The role requires strong B2B SaaS marketing experience, product marketing judgment, demand generation depth, team leadership, and ability to convert AI product capabilities into clear business value. Key Responsibilities Own end-to-end marketing strategy for Paytm AI products across Enterprise and Mid-Market segments. Drive demand generation through digital campaigns, webinars, events, ABM, content, and partne

Senior Data Scientist Description - The Team We are an expanding team at HP that develops applications that make use of Generative AI and Large Language Models. We work with business units mainly from the Commercial Organization to develop and run solutions that help our sales teams and customers. Responsibilities Defines and implements AI solutions to create business value and innovation. Works with Data Science leaders to develop new innovative solutions to existing or new business challenges. Develops clear presentations for business stakeholders and managers. Manages relationships with business partners to evaluate and foster data driven innovation, provide domain-specific expertise in cross-organization projects/initiatives. Knowledge & Skills Proficiency in Python and PySpark Programming: Strong coding skills in Python for data manipulation, model development, and integration with Azure services. Experience with Azure Services: Knowledge of key Azure services like Azure Machine Learning, Azure AI Search, and Azure Functions for deploying RAG systems. Expertise in Databricks: Ability to design, develop, and optimize workflows in Azure Databricks for data processing and feature engineering. Understanding of NLP and GenAI concepts: Familiarity with Large Language Models, prompt engineering for LLMs, vector databases, and Retrieval Augmented Generation (RAG) systems. Experience in Applied Statistics and Algorithms: Use statistics, mathematics, algorithms, and programming to address business challenges. Familiarity with the deployment and scaling RAG systems in production, using Azure’s containerization options such as Docker, AKS (Azure Kubernetes Service), or Azure Funct

Job Overview: We are seeking an experienced Azure Cloud Application Architect to design and implement enterprise-grade, cloud-native solutions using Azure services. This role involves defining best practices for architecture, governance, security, and cost optimization while enabling CI/CD and Infrastructure as Code. You will provide technical leadership, mentor teams, and act as a trusted advisor to clients, driving modernization, migration, and innovation initiatives. The position also includes pre-sales and post-sales engagement, building strategic partnerships, and contributing to thought leadership through white papers and presentations. Experience : 10+ years Key Responsibilities: Design and implement cloud-native application architectures using Azure services (App Services, AKS, Functions, Service Bus, etc.). Collaborate with stakeholders to translate business requirements into technical solutions. Establish governance, cost optimization, and security best practices for Azure applications. Work closely with DevOps teams to enable CI/CD pipelines and infrastructure as code (IaC). Provide technical leadership, mentoring, and guidance to development teams. Define and implement best practices architecture design, deployment, and operations. Design highly available, scalable, and cost-effective cloud solutions meeting business requirements. Collaborate with cross-functional teams, including DevOps, development, and business units, to align cloud solutions with organizational goals. Analyse complex technical issues, provide recommendations, and lead the resolution efforts for cloud-related challenges. Build capabilities, offerings, service accelerators and differentiators. Build a go-to-market strategy that highlights our cloud offerings that best support our customers' challenges. Innovation and Thought leadership, bringing out white papers, blogs, presentations, and collaterals. Responsible for delivering solutions archi

Opportunity Overview: We are seeking a Financial Analyst to join our FP&A team. This is a hands-on, detail-oriented role embedded within our Commercial organization. The right candidate brings sharp analytical instincts, a bias for action, and the ability to deliver reliable financial support at a pace that keeps up with a fast-moving sales team and pricing leader What you’ll do: Develop, maintain, and utilize pricing models to forecast profitability, revenue impact, and margin changes Analyze the cost impact of process and product improvements, incorporating them into financial and pricing models Partner with Commercial, Clinical/Operations, and Actuarial teams to develop comprehensive pricing models and present strategic summaries to executive leadership Review and approve deal opportunities, RFP responses, custom pricing structures, and discounting frameworks Gather and compile data points from internal systems to monitor financial performance, metrics, and client profiles Assist with organization-wide strategic projects and provide scenario modeling, serving as the subject matter expert for pricing strategy and inputs Support budget and forecast preparation for the sales and marketing organizations — partnering with the team to build credible, data-backed plans Utilize Adaptive Insights (Workday Adaptive Planning) to manage planning cycles, scenario modeling, and financial reporting with efficiency and accuracy Apply AI-powered analytics tools to automate routine tasks, surface insights faster, and continuously elevate the quality of financial outputs ISMS roles and responsibilities Fair understanding of Information Security practices. Align to the organization policies and procedures. Ensure to get updated with ISMS roles as assigned by the department/process heads. Required Qualifications: Must-haves 3–6 years of pricing, commercial finance, or operations finance experience; healthcare, BPO, or technology-enabled services industry background preferred Adva

TEGNA Inc. helps people thrive in their local communities by providing the trusted local news and services that matter most. With 64 television stations in 51 U.S. markets, TEGNA reaches more than 100 million people monthly across web, mobile apps, streaming, and linear television, while also maintaining a strong global presence in India with offices in Bangalore and Chennai that support technology, product, and business operations initiatives. Together, we are building a sustainable future for local news. About TEGNA TEGNA Inc. (NYSE: TGNA) helps people thrive in their local communities by providing the trusted local news and services that matter most. With 64 television stations in 51 U.S. markets, TEGNA reaches more than 100 million people monthly across the web, mobile apps, streaming, and linear television. Together, we are building a sustainable future for local news. Data Scientist TEGNA is seeking a highly skilled, innovative, and analytical Data Scientist to lead end-to-end development of advanced models and insights across our multi-platform media ecosystem spanning TV, digital, streaming, social, and mobile. This role is central to transforming large-scale viewership, content, and sales datasets into predictive models, optimization frameworks, and actionable insights that support content strategy, personalization, audience growth, and revenue performance. The ideal candidate is passionate about experimentation, machine learning, and building scalable data and ML solutions. You will collaborate with engineering,product, editorial, sales, and analytics teams to translate complex, ambiguous business challenges into measurable, data-driven outcomes. What You’ll Do Lead the full data science lifecycle: problem framing, hypothesis development, feature engineering, model development, validation, and deployment planning. Develop and operationalize machine learning models across forecasting, personalization, c

BPO stands for business process outsourcing, which is a broader term that includes customer-facing and behind-the-scenes tasks like accounting, HR, marketing, and sales. Call centers, on the other hand, primarily focus on customer communication and support. Some job requirements for a call center BPO executive include: 12th pass, Basic computer knowledge, and Basic Excel customer care officer, also known as a customer service officer, is a key role in a business that acts as the primary point of contact between the company and its customers. Their responsibilities include: Handling inquiries: Responding to customer questions and concerns by phone, email, or other channels Resolving complaints: Addressing customer complaints and ensuring they are resolved Improving customer experience: Ensuring customers have a positive experience with the company's products or services Staying current: Keeping up with the company's products and services Participating in team meetings: Improving communication methods with the team Following up: Checking in with customers to ensure they are still satisfied with their purchases Promoting products and services: Sharing information about additional products or services that might benefit customers

Customer data: Gathering customer details, such as names, addresses, and phone numbers Customer relationships: Building and maintaining positive relationships with customers and prospects Record keeping: Maintaining accurate records of customer interactions in a database Sales pitches: Delivering and adjusting sales pitches based on the customer Market trends: Staying up to date with market trends to better serve customers Customer feedback: Collecting data on customer feedback and relaying it to relevant divisions Customer retention: Retaining customers who are dissatisfied with products or services CRM software: Using CRM software to manage customer interactions

BPO telecaller's job is to facilitate communication between a business and its customers by making calls, answering questions, and resolving issues: Outbound calls Make calls to potential or existing customers to promote products or services, generate leads, and meet sales targets Inbound calls Handle calls from customers who have questions, complaints, or need help with products or services Customer service Interact with customers in a friendly, professional manner to address concerns and offer solutions Record keeping Maintain accurate records of interactions

BPO telecaller's job is to facilitate communication between a business and its customers by making calls, answering questions, and resolving issues: Outbound calls Make calls to potential or existing customers to promote products or services, generate leads, and meet sales targets Inbound calls Handle calls from customers who have questions, complaints, or need help with products or services Customer service Interact with customers in a friendly, professional manner to address concerns and offer solutions Record keeping Maintain accurate records of interactions Some skills and qualifications that are helpful for a BPO telecaller include: Excellent communication skills, Strong people skills, Ability to close sales through negotiation, Research skills, and Knowledge of CRM software programs and telephone systems.

telecalling executive, also known as a telecaller, telemarketing executive, or telesales representative, is a company representative who makes phone calls to potential or existing customers to generate sales or leads. Their responsibilities include: Making outbound calls to potential and existing customers Explaining company products and services Maintaining daily call records Submitting daily progress reports Meeting and exceeding sales targets Staying updated with market trends Identifying customer needs Developing and maintaining business relationships with customers Booking appointments for the field sales team

Client Onboarding Director, Inference and Agentic AI 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. Role Overview Paytm is looking to hire a Client Onboarding Director to own implementation delivery and client onboarding governance for Paytm’s AI Inference and Agentic AI products across enterprise clients. This is a managerial role that will lead Client Onboarding Managers and ensure that enterprise deployments move smoothly from sales closure to go live and early adoption. The role sits at the intersection of client teams, product, engineering, business, and sales, and is responsible for converting signed enterprise deals into successful, timely, and scalable deployments. The candidate will own delivery planning, integration governance, risk management, stakeholder communication, and post go live stabilization across enterprise AI agent deployments. The role requires strong program management, technical understanding, client handling, and ability to drive execution across multiple internal and external teams. Key Responsibilities Delivery Ownership and Implementation Governance Own end to end delivery governance for enterprise AI agent deployments from sales handoff to go live and stabilization. Lead the implementation planning process across scope

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.