We're hiring a Head of Engineering at Zonka Feedback . Own the Stack, Scale AI, Lead the Vision!! Company Profile: Zonka Feedback is a powerful, AI-driven customer experience (CX) and feedback platform that helps businesses capture feedback, measure, and improve customer satisfaction across various touchpoints, and drive strategic growth. With seamless integrations into major CRMs like Salesforce and HubSpot, Zonka Feedback empowers brands worldwide to listen to customer voices and make data-driven decisions through multi-channel feedback collection, advanced reporting, and AI insights. Get to know more about us at www.zonkafeedback.com We're building an AI-first SaaS platform that's redefining how feedback systems work and combines: Smart prompting and automation Seamless ML model integration and fine-tuning Rich analytics and actionable insights Scalable infra to handle millions of requests and third-party integrations Agentic, autonomous workflows Job Role: We are looking for a dynamic Head of Engineering to architect and build scalable, AI-powered systems using modern technologies including Node.js, Python, React, AWS, and Serverless frameworks. In this role, you will play a critical part in shaping our core product by integrating advanced AI/ML models and developing intelligent automation workflows. As a key technical leader, you will guide a lean team of engineers, drive high-impact architectural decisions, and ensure the reliability, security, and performance of our systems. Ideal candidates have 7 to 15+ years of software development experience, with deep expertise in full-stack development, cloud architecture, and AI/ML integration. They have a proven track record of leading teams in fast-paced SaaS or startup environments, along with hands-on experience working with large-scale datasets, vector databases, and advanced NLP and LLM technologies . Key Responsibilities: Drive the engineering vision and execution for Zonkas AI-first customer experience platform Build and integrate ML/NLP systems, including LLMs and vector databases Architect and develop scalable systems using Node.js, Python, React, AWS, and Serverless Design and implement AI-powered workflows and automation pipelines Optimize infrastructure, DevOps, CI/CD , monitoring, and cost efficiency Lead and mentor a lean team of engineers; drive hiring and performance Collaborate with product and design teams to execute the product roadmap Maintain high code quality, system reliability, and security Leverage modern tools like GitHub Copilot, WindSurfer, and Cursor to drive productivity Requirements: 7 - 15 years of hands-on software development including full-stack development and system architecture Strong background in NLP, ML, and deploying LLM-based solutions in production environments Skilled in prompt engineering and RAG architecture Experience working with large datasets, ElasticSearch, and vector databases Strong expertise in Node.js, Python, AWS, React and scalable systems architecture Prior experience building and leading engineering teams in SaaS or startup environments Ability to balance leadership, architecture, and hands-on coding Familiarity with DevOps, CI/CD, infrastructure monitoring, and security best practices Excellent problem-solving, communication, and team-building skills If this sounds like you, we are here to have the next talk. Share your resume on hr@zonkafeedback.com

We are looking for a Senior AI/ML Engineer to join our team and help design, build, and deploy the product. About Us Zonka Feedback is a fast-growing, bootstrapped SaaS company building an AI-first platform that combines machine learning, GenAI, and large-scale analytics. We are working on cutting-edge applications of AI including LLMs , NLP , unsupervised clustering , vector databases , and retrieval-augmented generation (RAG) systems . Key Responsibilities Design and build scalable NLP pipelines , unsupervised clustering models , and semantic search solutions . Develop vectorization pipelines and implement RAG (Retrieval-Augmented Generation) architectures for efficient information retrieval. Fine-tune large language models (LLMs) and craft effective prompt engineering strategies for real-world performance. Evaluate and optimize AI/ML models using tools like LangChain , Evals , Hugging Face , and custom evaluation frameworks. Work closely with backend and product engineering teams to integrate AI capabilities into production systems. Continuously research and implement advancements in AI, ML, and LLMs to keep the product innovative and competitive. Requirements 3 to 6 years of hands-on experience in Machine Learning and NLP . Solid experience in unsupervised learning techniques (clustering, dimensionality reduction, topic modeling, etc.). Strong understanding and experience in vector databases (e.g., FAISS, Pinecone, ChromaDB) and RAG system design . Experience with LLM fine-tuning , prompt engineering , and deployment of AI systems in production. Proficiency in Python and relevant ML/AI libraries such as TensorFlow, PyTorch, Hugging Face, LangChain, and OpenAI APIs. Strong analytical and problem-solving skills with an ability to work in a fast-paced environment. Prior experience building end-to-end AI features that are used in real products is a strong plus. If this sounds like you, we are here to have the next talk. Share your resume on hr@zonkafeedback.com

As we expand our integration ecosystem and AI capabilities, were looking for a Backend Developer (Node.js) to help connect Zonka Feedback - our AI-powered customer experience and feedback management platform - with the leading tools and scale our platform to the next level. You'll play a key role in building smart, scalable integrations using Node.js that power our AI-driven insights engine, enabling businesses to automate feedback workflows, uncover intelligent insights, make real-time, data-backed decisions, and deliver exceptional customer experiences. Get to know more about us at www.zonkafeedback.com Job Role Build, maintain, and optimize scalable backend services using Node.js and related frameworks Design and implement third-party API integrations (CRMs, Helpdesks, Analytics tools, Payment Gateways, etc.) Write clean, efficient and well documented code Collaborate with frontend, product, and QA teams to deliver features end-to-end Ensure performance, security, scalability, and data protection, and reliability of backend services Debug, troubleshoot, and continuously improve existing systems and integrations Qualifications 2 years of experience in backend development using Node.js. Strong experience in building and maintaining external API integrations Solid understanding of REST APIs, OAuth, Webhooks, and authentication mechanisms. Experience with MongoDB Understanding of backend design principles and scalable architecture Familiarity with version control systems like Git . Prior experience working in a SaaS or product-based company is a plus Interested? Send your resume to us at hr@zonkafeedback.com

We're hiring Product Consultant at Zonka Technologies. Company Profile At Zonka Technologies, we're transforming how businesses understand and elevate their customer experiences. Our flagship product, Zonka Feedback, is AI-driven Customer Experience (CX) and Feedback Management platform that helps businesses capture feedback, measure customer satisfaction, and drive strategic growth across multiple touchpoints. With seamless integrations into leading CRMs like Salesforce and HubSpot, it enables brands to listen to customer voices and make data-driven decisions through multi-channel feedback collection, advanced reporting, and real-time AI insights. From NPS and CSAT to sentiment analysis and customer journey mapping, Zonka Feedback empowers global businesses to uncover intelligent insights and take timely action to improve and transform customer experiences. Role Summary As a Product Consultant , you'll be the voice and guide for Zonka Feedback's customers. The role is all about delivering a smooth, supportive, and value-driven experience - from onboarding to ongoing engagement by guiding them through account setup, product training, and feature adoption while providing timely support and proactive check-ins to ensure they gain maximum value from our AI-powered customer experience and feedback platform. You'll manage a portfolio of US-based customers, taking ownership of their success by tracking progress, resolving issues, and maintaining regular touchpoints to drive adoption and satisfaction. This is a night-shift role (6 PM 3 AM IST) aligned with our US customer base. Job Role Customer Onboarding: Lead and manage end-to-end onboarding journey for new customers, including account setup, product training, and implementation Conduct product walkthroughs and tailored training sessions to ensure effective adoption and understanding Guide customers in creating surveys, setting up distribution channels, and integrating with CRMs or third-party tools Ensure timely onboarding completion and customer satisfaction through structured onboarding journeys Promptly respond to product-related inquiries from new customers via Intercom or other support channels and schedule calls with Sales team Customer Support: Serve as the primary point of contact for all product-related queries via chat, email, or phone Deliver fast, clear, and effective resolutions to technical issues, ensuring a smooth customer experience Collaborate with product and engineering team to report bugs, escalate technical issues, and follow up on feature requests Customer Success Management: Conduct regular check-ins with existing customers to assess satisfaction, ensure ongoing engagement and adoption Monitor account health and usage metrics to identify and report at-risk accounts Qualifications 1 to 2 years of experience in customer onboarding, success or support role (preferably in a SaaS/product environment) Willingness to work night shifts (6 PM 3 AM US time) Excellent written and spoken communication skills Strong product understanding and technical aptitude Customer-first attitude with empathy and problem-solving skills Ability to work independently, manage multiple onboarding journeys, and collaborate across teams Familiarity with tools like Intercom, Freshdesk, HubSpot, or similar platforms is a plus Interested? Send your resume to hr@zonkafeedback.com

We 're hiring Customer Onboarding and Success Specialist at Zonka Technologies!! Role Summary As a Customer Onboarding and Success Specialist, you'll be the voice and guide for Zonka Feedback's customers. The role is all about delivering a smooth, supportive, and value-driven experience - from onboarding to ongoing engagement by guiding them through account setup, product training, and feature adoption while providing timely support and proactive check-ins to ensure they gain maximum value from our AI-powered customer experience and feedback platform. Youll manage a portfolio of US-based customers, taking ownership of their success by tracking progress, resolving issues, and maintaining regular touchpoints to drive adoption and satisfaction. This is a night-shift role (6 PM – 3 AM IST) aligned with our US customer base. Job Role Customer Onboarding: Lead and manage end-to-end onboarding journey for new customers, including account setup, product training, and implementation Conduct product walkthroughs and tailored training sessions to ensure effective adoption and understanding Guide customers in creating surveys, setting up distribution channels, and integrating with CRMs or third-party tools Ensure timely onboarding completion and customer satisfaction through structured onboarding journeys Promptly respond to product-related inquiries from new customers via Intercom or other support channels and schedule calls with Sales team Customer Support: Serve as the primary point of contact for all product-related queries via chat, email, or phone Deliver fast, clear, and effective resolutions to technical issues, ensuring a smooth customer experience Collaborate with product and engineering team to report bugs, escalate technical issues, and follow up on feature requests Customer Success Management: Conduct regular check-ins with existing customers to assess satisfaction, ensure ongoing engagement and adoptio Monitor account health and usage metrics to identify and report at-risk accounts Qualifications 1 to 2 years of experience in customer onboarding, success or support role in a SaaS/product environment Willingness to work night shifts (6 PM – 3 AM US time) Excellent written and spoken communication skills Strong product understanding and technical aptitude Customer-first attitude with empathy and problem-solving skills Ability to work independently, manage multiple onboarding journeys, and collaborate across teams Familiarity with tools like Intercom, Freshdesk, HubSpot, or similar platforms is a plusW