Jobs at Virallens Advertising Pvt. Ltd.

Manage social media activities for multiple client accounts, including content scheduling, publishing, monitoring, community engagement, trend identification, campaign coordination, client communication, project tracking, and performance reporting. The role requires collaboration with content, design, PR, and account teams to deliver campaigns on time and provide actionable social media insights.

Own end-to-end performance marketing for client accounts, including paid media strategy and execution across Google, Meta, and LinkedIn. Manage budgets, targeting, bidding, tracking, attribution, analytics, conversion optimization, and experimentation. Use GA4, Google Tag Manager, advertising platforms, CRM data, and backend insights to improve CPL, CPA, ROAS, conversion rates, and lead quality. Lead client performance reviews, communicate recommendations to senior stakeholders, and manage multiple accounts independently.

Own the full sales cycle for Virallens’s software products and custom AI development services in the US market. Responsibilities include outbound prospecting, discovery, demos, solution scoping, proposals, negotiation, closing, CRM management, forecasting, and customer handoffs. The role also establishes the sales process, tooling, playbook, metrics, and reporting cadence, then grows into hiring and leading the technology sales team.

Build and deploy AI-powered full-stack web applications using React, Next.js, TypeScript, and Node.js. Design REST and GraphQL APIs, authentication systems, databases, multi-tenant SaaS architectures, real-time workflows, and LLM/RAG features. Own features from technical design through production, optimize reliability and performance, troubleshoot issues, and collaborate with Product, Design, AI, and Engineering teams.

Research and develop advanced AI and machine learning systems across one or more specializations. Responsibilities include identifying research problems, reproducing and extending published work, designing novel algorithms, building prototypes, conducting rigorous experiments and evaluations, analyzing model performance and failure modes, and translating successful research into practical AI capabilities. The role also involves publishing findings, presenting technical work, and collaborating with engineering, product, and platform teams.

Design, build and deploy retrieval-augmented generation systems combining vector search, hybrid retrieval, knowledge graphs, and LLMs. Optimize embedding pipelines, evaluate retrieval and model performance, fine-tune LLMs, deploy scalable solutions on cloud/Kubernetes, and collaborate across teams while ensuring security, testing and data governance.

Responsible for ensuring the quality, reliability, performance, and usability of web applications, APIs, enterprise platforms, microservices, and AI-powered products. Duties include manual and functional testing, test planning, automation framework development, API and backend validation, regression and integration testing, performance testing, defect management, root-cause analysis, release validation, and production quality monitoring. The role collaborates with Engineering, AI, Product, and Platform teams throughout the software development lifecycle.