BuzzBoard provides tools that help businesses leverage their customer data to grow and engage customers effectively. The platform focuses on customer engagement and data analytics to optimize marketing strategies.
Not specified
INR 11.0 - 13.0 Lacs P.A.
Work from Office
Full Time
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.
Not specified
INR 3.0 - 6.0 Lacs P.A.
Work from Office
Full Time
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: Bachelors 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.
Not specified
INR 8.0 - 10.0 Lacs P.A.
Work from Office
Full Time
Test Strategy & Planning: Develop and implement detailed test strategies, test plans, and test cases to ensure comprehensive coverage of application functionality. Define testing standards and best practices across the QA team. Manual & Automation Testing: Execute both manual and automated tests for web and mobile applications. Identify areas for automation and work with the team to design and develop automation frameworks. API Testing: Perform API testing using tools like Postman, ensuring robust integration and performance of backend services. Database Testing: Write and execute SQL queries to validate data integrity and support backend testing efforts. Perform database testing to ensure data consistency and reliability. Defect Lifecycle Management: Identify, document, and track defects throughout the testing lifecycle. Collaborate with developers and business teams to prioritize and resolve issues promptly. Tool Proficiency: Utilize test management tools such as JIRA for tracking test cases, defects, and project progress. Ensure effective use and continuous improvement of the testing toolset. Performance & Security Testing: Conduct performance testing to evaluate application scalability and responsiveness. Perform security testing as needed to identify vulnerabilities and ensure data protection. Mentoring & Collaboration: Mentor and guide junior QA team members, promoting a culture of quality and continuous improvement. Collaborate with cross-functional teams, including development and business stakeholders, to drive high-quality releases in a fast-paced environment. Problem-Solving & Communication: Demonstrate strong problem-solving and analytical skills to diagnose issues effectively. Communicate testing progress, issues, and risks clearly to both technical and non-technical stakeholders. Required Qualifications : Bachelor s degree in Computer Science, Engineering, or a related field (or equivalent practical experience). 5-7 years of proven experience in quality assurance, preferably in both manual and automated testing. Hands-on experience with API testing tools (e.g., Postman) and database testing using SQL. Proficiency with test management tools like JIRA. Experience testing web and mobile applications in an agile development environment. Strong understanding of test case design, test coverage, and defect lifecycle management. Experience with performance and security testing methodologies. Excellent communication and mentoring skills. Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively. Preferred Skills: Experience with modern test automation frameworks and tools. Familiarity with CI/CD pipelines and integrating automated tests into the build process. Exposure to cloud-based environments and testing in distributed systems.
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