Jobs at Vserve Ebusiness Solutions

Processes customer orders and requests through SAP and CRM systems, monitors shipments, manages invoices and related documents, and provides order, quote, credit, and payment updates. Resolves transactional discrepancies, customer complaints, and product inquiries in an inbound call center environment. Maintains daily email and call volumes, follows departmental procedures and KPIs, attends training, and escalates complex issues to leadership.

Analyzes, audits, enriches, and standardizes ecommerce product data across marketplaces and platforms. Sources product information, optimizes listings for SEO and conversions, maintains digital assets, validates platform compliance, and supports catalog automation. Collaborates with category, SEO, and creative teams to improve product content quality, metadata, and cross-selling opportunities.

Conduct high-volume outbound calls to prospective B2C customers, generate and qualify leads, follow up with warm and cold prospects, and meet sales and conversion targets. Maintain accurate call records, follow scripts and compliance requirements, handle objections professionally, escalate qualified leads, and share customer feedback with the team. The role requires strong English and Tamil communication, basic computer literacy, and consistent performance in an office-based environment.

Develop and maintain full-stack web applications and RESTful APIs using React or Angular, Node.js, Express.js, and MongoDB or relational databases. Responsibilities include designing data models, integrating third-party APIs, writing tested and maintainable code, participating in reviews and sprint planning, troubleshooting production issues, collaborating with QA, and supporting deployments and CI/CD processes.

Build and maintain Python-based web scraping and data extraction pipelines for government portals, public websites, PDFs, APIs, and open-data sources. Extract, clean, normalize, match, validate, and integrate fragmented records into structured databases. Develop monitoring for schema changes and extraction failures, automate recurring acquisition, and collaborate with GIS, product, and engineering teams to deliver reliable public-data intelligence.

Supports commercial growth through business analysis, reporting, dashboards, performance monitoring, leadership presentations, and ad hoc data support. Applies predictive and prescriptive analytics, AI, and machine learning to identify insights, automate workflows, and improve decision-making. Partners with technology teams on AI use cases, prepares data for modeling, monitors model performance, and supports responsible AI governance, explainability, and bias awareness.

Own discovery, roadmap prioritization, requirements, feature delivery, and product improvement for a data-intensive geospatial product. Design search, query, filtering, comparison, and analytical workflows; collaborate with stakeholders, analysts, designers, and engineers on data quality and user experience. Use customer feedback and product metrics to improve adoption, usability, and task completion.

Manage end-to-end BPO operations, including workflow management, resource allocation, team supervision, KPI and SLA performance, client coordination, escalations, MIS reporting, workforce planning, and process improvement. Ensure adherence to SOPs and quality standards while driving productivity, operational efficiency, and employee development.

Analyzes high-resolution satellite and aerial imagery, performs multi-temporal change detection, validates interpreted features, and maintains accurate spatial datasets. Uses QGIS and/or ArcGIS to digitize features, conduct geospatial QA/QC, assess imagery suitability, manage common GIS formats, and prepare maps, methods, findings, and analytical summaries.

Processes vendor invoices, validates them against purchase orders and supporting documents, codes invoices in ERP systems, resolves discrepancies, maintains audit-ready AP records, and responds to vendor inquiries. The role requires accuracy, attention to detail, professional communication, compliance with internal controls, and meeting SLA timelines. It is a full-time, night-shift position performed entirely on-site.

Manages supplier identification, vendor relationships, quote negotiations, purchase orders, inventory levels, sales orders, shipments, and delivery timelines. Resolves procurement discrepancies, delays, and quality issues while optimizing stock availability and costs. Requires onsite work in Ortigas, Pasig City, flexible night-shift availability, at least one year of supply chain experience, Excel proficiency, and strong communication and teamwork skills.

Develop and maintain Power BI datasets, data models, dashboards, and reports using Microsoft SQL Server and PostgreSQL. Write and optimize SQL queries, transform data, define KPIs, and improve reporting performance. Collaborate with stakeholders across finance, sales, operations, and executive teams to gather requirements and deliver actionable insights. Maintain governed BI workspaces, document data sources and logic, and support reliable reporting infrastructure.

Execute end-to-end SEO for multiple client websites: perform keyword research, technical and on-page optimization, link-building, content optimization, website audits, and monitor KPIs. Coordinate with developers, content writers, clients, and internal teams to resolve technical issues, improve organic visibility, and deliver regular performance reports with actionable insights.

Design logos, brand identities, social graphics, digital ads, reports, brochures, presentations, and responsive website mockups. Maintain visual consistency across print and digital materials, prepare production-ready files, adapt client brands, and contribute creative concepts. Work independently across multiple deadlines while collaborating with a U.S.-based agency team and applying strong typography, layout, color, UX hierarchy, and visual communication principles.

Process customer orders and requests through SAP and CRM, monitor shipments, manage invoices and delivery documents, provide order and account updates, handle credit and debit memos, resolve discrepancies and complaints, and respond to product inquiries. The role operates in an inbound call center, handles at least 40 calls or emails daily, maintains KPI performance, and escalates complex issues.

Processes and validates vendor invoices against purchase orders, receipts, and supporting documents. Enters and codes invoices in ERP systems, resolves discrepancies with vendors and internal teams, maintains audit-ready records, responds to inquiries, and follows internal controls, compliance procedures, and SLA timelines.

Manage end-to-end accounts receivable processes, including invoicing, collections, cash application, payment tracking, reconciliation, customer follow-up, dispute resolution, account maintenance, aging reports, and management reporting. Coordinate with Sales, Operations, and Finance to resolve billing issues, maintain accurate records, and identify process improvements that enhance efficiency and cash flow.

Lead AI transformation pre-sales and discovery engagements for U.S. SMB clients. Conduct executive workshops, interview stakeholders, analyze workflows, identify and prioritize AI and automation opportunities, quantify ROI, develop transformation roadmaps, and present business cases. Partner with sales and delivery teams on proposals, pricing, and implementation opportunities. Build reusable assessment frameworks, industry use-case libraries, and internal enablement materials.

Gather and document CRM requirements from sales leadership, manage versioning and change control, define acceptance criteria, and support UAT. Review vendor designs and statements of work, drive stakeholder decisions, maintain requirements traceability, and coordinate data and integration needs across source ERP systems. The role focuses on Microsoft Dynamics 365 Sales implementation, CRM adoption, sales-process configuration, and delivery across distributed teams.

Designs and owns scalable Azure-based data platforms, including enterprise data warehouses, ETL/ELT pipelines, PySpark and Delta Lake transformations, dimensional models, and Power BI analytics. The role also covers data quality, reconciliation, financial reporting logic, API ingestion, performance optimization, CI/CD, stakeholder collaboration, architecture best practices, and mentoring junior engineers.