Job Title:Assistant QA Manager About the Role: We are seeking a dedicated and experienced Assistant QA Manager to support our Engineering team. The ideal candidate will have a strong background in software quality assurance, with proven experience in assisting with QA team management and driving automation initiatives. The Assistant QA Manager will help lead a team of 4-5 QA engineers and ensure the highest quality standards for our SaaS products. Key Responsibilities: Support the QA Manager in leading, mentoring, and managing a team of 4-5 QA engineers Assist in defining and implementing robust QA processes, test strategies, and automation frameworks Collaborate with engineering, product management, and customer support teams to ensure seamless product delivery and high-quality releases Assist in overseeing the creation and execution of comprehensive test plans, test cases, and test scripts Contribute to test automation efforts to improve test coverage and efficiency Monitor and track quality assurance metrics, such as defect densities and open defect counts Provide regular feedback and career development guidance to team members Participate in sprint planning, daily stand-ups, and retrospectives in an Agile environment Identify and help mitigate risks related to software quality, ensuring best practices are followed across the engineering team Required Skills & Qualifications: Hands on experience in Katalon Studio is a must Bachelor's degree in Computer Science, Engineering, or a related field 4+ years of experience in software quality assurance, including 1+ years in a leadership or assistant managerial role Experience working with SaaS products, understanding the unique challenges and requirements of SaaS environments Strong knowledge of manual and automated testing methodologies Proficiency in automation tools (e.g., Selenium, Cypress, Appium) and scripting languages (Python, Java, JavaScript, or Ruby) Experience with CI/CD tools (e.g., Jenkins, GitLab CI, CircleCI) and cloud environments (AWS, Azure, GCP) Familiarity with test management tools (e.g., TestRail, Zephyr) and bug tracking systems (e.g., Jira, Bugzilla) Solid understanding of Agile/Scrum methodologies Strong problem-solving, analytical, and decision-making skills Excellent communication skills, with the ability to convey technical issues effectively Powered by JazzHR jfH34UBrb2 Show more Show less

Product Manager/Associate Product Manager About Us: At BuzzBoard, we're revolutionizing the B2SMB sales and marketing landscape with our cutting-edge AI-driven platform. Our mission is to empower small and medium-sized businesses (SMBs) by providing them with hyper-personalized sales content and insights that drive growth and success. We are growing, join us in our journey to reshape the future of digital marketing and sales automation. Job Description: As a Product Manager at BuzzBoard, you will be an integral part of our innovative product team, contributing to the development and support of our core applications utilized by hundreds of users. This is an exciting opportunity to own and drive the evolution of one or more product lines in a fast-paced, dynamic environment. Key Responsibilities: Product Ownership: Take full ownership of one or more product lines, ensuring they meet user needs and business goals Roadmap and Milestones: Develop and maintain product roadmaps and milestones. Collaborate with your team to estimate, implement, and prioritize features, ensuring the highest impact initiatives are addressed User-Centric Development: Deeply understand user needs, map user journeys, and build solutions that address pain points. Define features, write specifications and user stories, create wireframes and prototypes, and manage release checklists and communications Cross-Functional Collaboration: Work closely with engineering, UI/UX design, operations, business, and other cross-functional teams to manage daily workflows and ensure seamless product development Stakeholder Communication: Act as a liaison between your team and Business, Engineering, and Marketing leadership, effectively communicating product functionality and incorporating feedback GenAI and ML Integration: Leverage Generative AI and Machine Learning technologies to enhance product features and functionality. Collaborate with data science teams to integrate AI-driven insights into the product Agile Environment: Thrive in an agile environment by continuously iterating, optimizing, and ideating based on user feedback and market trends Analytics and Reporting: Utilize product analytics tools, user behavior analytics, and reporting tools to drive data-informed decisions and optimizations Timely Delivery: Ensure the timely delivery of high-quality, well-crafted products that delight our users Requirements: Experience: 4+ years of product management experience, ideally in B2B SaaS Educational Background: Bachelor’s degree in Engineering, Computer Science, or a related technical field is preferred GenAI and ML Proficiency: Experience with Generative AI and Machine Learning applications is crucial for success in this role Cross-Functional Influence: Demonstrated ability to engage and influence cross-functional teams and senior stakeholders Business Case Development: Experience in building and promoting business cases to drive product development Agile Methodologies: Proficiency in iterative software delivery methodologies Product Shipping: Proven track record of shipping and managing products with cross-functional teams Global Collaboration: Experience working with US customers and vendors on technology and product-based partnerships is preferred Communication Skills: Strong verbal and written communication skills, with the ability to convey technical details to non-technical audiences and drive decision-making Customer Listening and Ideation: Skilled in listening to customer feedback, ideating solutions, and optimizing products based on user needs and market trends Analytics Proficiency: Experience with GenAI/ML products, product analytics tools, user behavior analytics, and reporting tools is a definite plus Initiative and Energy: High energy, self-starter with a passion for learning new technologies Startup Experience: Previous experience in a startup environment is a plus What We Offer: WFH Innovative Environment: Work in a cutting-edge field with a team of passionate professionals Growth Opportunities: Develop your career in a fast-growing company with opportunities for advancement Collaborative Culture: Join a supportive team that values collaboration and innovation Impactful Work: Make a significant impact on the success of SMBs through your contributions to our platform Join Us: If you are a motivated, user-focused product manager with experience in Generative AI and Machine Learning, and a passion for technology and innovation, we want to hear from you! Apply now to join the BuzzBoard team and help us revolutionize the future of B2SMB sales and marketing. Contact : geetika@buzzboard.com Powered by JazzHR KHFbeOLhcc Show more Show less

Job Description: Join our pioneering team at BuzzBoard, a recognized first-mover in enterprise generative AI, as a Team Lead of Generative AI and LLM. We've already deployed production GenAI systems generating thousands of posts and content pieces monthly across our ecosystem. You'll lead the charge in scaling our mature AI infrastructure while architecting next-generation applications. As a key leader in our Product Team, you'll orchestrate collaboration between Data Engineering, Software Engineering, and AI Operations teams while expanding our proven generative AI innovations. Key Responsibilities: Strategic Leadership & Vision Lead and mentor a team of GenAI engineers and researchers within our mature AI ecosystem Scale our proven production AI systems generating thousands of content pieces monthly across multiple business verticals Define generative AI strategy and roadmap building upon our established first-mover advantage Drive adoption of multimodal AI systems incorporating vision, audio, and text capabilities Contribute and own the GenAI governance frameworks and best practices Advanced AI Development Architect and scale sophisticated generative AI systems building upon our established multi-LLM infrastructure (GPT-4o, Claude Sonnet, Gemini, O1) Optimize our proven tech stack including LangChain, CrewAI, LangGraph, and vector databases (Chroma) Implement advanced RAG, fine-tuning, and prompt engineering across our existing model inventory Lead development of next-generation agentic AI systems with tool use, reasoning capabilities, and autonomous decision-making Enhance our multi-agent orchestration platforms and complex workflow automation Technology Leadership Drive adoption of agentic AI frameworks including LangGraph, CrewAI, AutoGen, and Microsoft Semantic Kernel Lead implementation of multi-agent orchestration platforms and autonomous decision-making systems Oversee vector databases (Pinecone, Weaviate, Chroma) and semantic search systems Lead integration of AI observability and monitoring tools (LangSmith, Weights & Biases, MLflow) Champion AI development platforms and low-code/no-code solutions Enterprise Integration & Scaling Scale our mature AI infrastructure supporting thousands of monthly content generations across multiple business verticals Enhance our proven MLOps and LLMOps practices for continuous model deployment and performance monitoring Drive technical collaboration for seamless AI integration into established production systems Optimize edge AI capabilities and multi-environment deployment strategies Enhance our performance tracking framework including regression testing, edit ratio tracking, and analytics integration Skills and Qualifications: Core Technical Expertise Deep expertise in generative AI systems, large language models, and transformer architectures with proven production experience Expert proficiency in our established tech stack: LangChain, CrewAI, LangGraph, AutoGen, and multi-LLM orchestration Hands-on experience with our model ecosystem: OpenAI GPT, Anthropic, Google, and vector databases Extensive experience with agentic AI frameworks and autonomous workflow orchestration in production environments Hands-on with programming skills in Python with experience in FastAPI, Streamlit, and modern web frameworks Expert-level understanding of prompt engineering, fine-tuning techniques, and model optimization at scale AI Architecture & Operations Experience with vector databases, embedding models, and semantic search implementations Proficiency in containerization (Docker, Kubernetes) and cloud-native AI deployments Knowledge of AI model serving platforms (vLLM, TensorRT-LLM, Ollama) and inference optimization Understanding of AI safety, alignment, and responsible AI development practices Technical Leadership (Individual Contributor Focus) Experience providing technical guidance to engineering teams in fast-paced environments Experience with AI product development lifecycle and technical go-to-market strategies Strong technical communication and ability to explain AI concepts to technical and non-technical audiences Knowledge of AI regulation landscape and compliance requirements Modern AI Ecosystem Familiarity with AI agent frameworks (LangGraph, CrewAI, Microsoft Semantic Kernel) - REQUIRED Experience with compound AI systems and multi-step reasoning architectures - REQUIRED Experience with multimodal AI systems and computer vision integration Understanding of federated learning and privacy-preserving AI techniques Knowledge of AI model evaluation frameworks and benchmarking methodologies Advanced Qualifications: Agentic AI Mastery (Required) Extensive hands-on experience building and deploying agentic AI systems in production environments Deep understanding of tool-calling, function-calling, and API integration within agent workflows Proven track record with multi-agent collaboration patterns and complex reasoning chains Expertise in agent memory systems, context management, and state persistence across interactions Industry Integration Experience scaling production GenAI systems with proven track record of generating thousands of content pieces monthly Knowledge of multi-LLM orchestration and model switching strategies for optimal performance and cost efficiency Understanding of content generation workflows across social media, marketing, and business communications Familiarity with performance monitoring frameworks including regression testing and analytics dashboard integration Research & Innovation Experience with AI model interpretability and explainable AI techniques Knowledge of quantum-classical hybrid AI approaches and emerging paradigms Technical Excellence Advanced degree in Computer Science, AI, or related field (preferred) Experience building and scaling AI teams in fast-paced environments (preferred) Experience with AI ethics committees and responsible AI governance (preferred) Proven ability to drive digital transformation through AI adoption (preferred) Lead the future of GenAI innovation at BuzzBoard, where your expertise will build upon our established success in production generative AI systems. Join a first-mover organization that has already proven the enterprise value of GenAI at scale, generating thousands of content pieces monthly. Your role as Team Lead of Generative AI and LLM will position you to expand our proven AI ecosystem while defining the next generation of agentic AI solutions that drive measurable business impact. Powered by JazzHR 12dkkTUOj7 Show more Show less

Job Title: Node.js Developer Experience: Minimum 5 Years Location: Remote Employment Type: Full-time Job Summary: We are seeking a skilled and experienced Node.js Developer with a strong foundation in JavaScript and backend development. The ideal candidate should have at least 5 years of hands-on experience with Node.js and possess a good understanding of integrating third-party APIs, developing microservices, and working with databases like MongoDB and MySQL. Familiarity with Python and solid debugging skills will be an added advantage. Key Responsibilities: Design, develop, and maintain robust server-side logic usingNode.js Build scalableRESTful/Microservices APIs Integrate third-party APIs, libraries, and services efficiently Troubleshoot and resolve performance issues, bugs, and technical problems Collaborate with cross-functional teams including frontend developers and QA Ensure application performance, security, and scalability Participate in code reviews and contribute to best practices Required Skills & Qualifications: Minimum5 years of professional experience in Node.js Good experience withMicroservicesandREST API development Proficient inCore JavaScriptconcepts Familiarity or hands-on experience withPython Experience working withMongoDBandMySQLdatabases Solid understanding ofasynchronous programmingand data security principles Comfortable withGitand version control workflows Strong problem-solving and debugging skills Ability to work independently as well as part of a team Good to Have: Exposure to DevOps practices or CI/CD tools Experience with containerization (Docker, Kubernetes) Basic understanding of cloud platforms (AWS, GCP, Azure) Powered by JazzHR zZ5VZq3ojD