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Serve as the first point of contact for customer queries, provide product guidance, resolve issues with internal teams, maintain CRM records, gather feedback, and deliver proactive support to improve customer success and satisfaction.

Serve as the first point of contact for customers, provide product guidance, resolve issues through internal coordination, maintain CRM records, collect feedback, and proactively support customer satisfaction. The role emphasizes empathetic communication, relationship building, problem-solving, multitasking, and proficiency in basic office tools. Fresh graduates are welcome and will receive training on the fee collection platform.

Welcomes visitors and manages front-desk communications, reception organization, mail, supplies, calendars, meetings, events, travel arrangements, and insurance procedures. Provides empathetic customer service, resolves inquiries, coordinates with HR and Administration, and supports smooth daily office operations. The role is suitable for fresh graduates or candidates with up to one year of relevant experience.

Conduct outbound calls to prospective customers, follow up on campaign and web leads, schedule appointments and product demos, maintain accurate CRM records, and provide basic information about CoFee’s SaaS features and benefits. The role requires clear phone communication in English and Telugu, persistence in follow-ups, and a proactive approach to lead engagement.

Serve as the first point of contact for customer questions and product guidance, build strong relationships, resolve issues through internal coordination, collect customer feedback, maintain accurate CRM records, and provide proactive support to improve customer success and satisfaction.

Conduct outbound calls to introduce CoFee, follow up with campaign and web leads, schedule appointments and product demos, maintain CRM records, and answer basic product questions. The role requires strong English and Kannada communication, confidence over the phone, persistence, and a proactive approach. Basic SaaS or technology-service knowledge is advantageous.

Design and maintain scalable data pipelines, ETL processes, batch-processing systems, and data warehouses using platforms such as Redshift, BigQuery, and Snowflake. Extract and process structured and unstructured data, troubleshoot pipeline issues, support CI/CD, and collaborate with product and engineering teams. Analyze data and create visualizations in BI tools to support business decisions while improving data-processing reliability and learning new technologies.

Own end-to-end product architecture from concept through reliable, scalable production systems. Translate business requirements into technical designs, make architecture and technology decisions, guide engineers through complex problems, and address risks early. Lead architecture, design, and code reviews while mentoring teams and improving engineering practices. The role requires hands-on software engineering, AI/LLM product experience, distributed systems expertise, cloud-native development, and strong communication across technical and business stakeholders.

Integrate LLM APIs and open-source models into applications, evaluate model suitability, craft prompts, build LangChain-enabled pipelines, analyze outputs, and maintain reliable AI solutions. Collaborate with data scientists, software engineers, and product managers while staying current with LLM advancements. The role requires Python, API integration, understanding of transformer architectures and attention mechanisms, and at least one year of LLM experience. Cloud AI deployment experience and specific model expertise are advantageous.

Generate and qualify leads through cold calling, email campaigns, networking, and market research. Present SaaS products, schedule client meetings, understand customer needs, build relationships, and provide solutions. Maintain a prospect pipeline, collaborate with sales and marketing teams, track sales performance, analyze results, and identify opportunities for improvement while staying informed about industry and competitor trends.