About Us Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. Role Overview This role is with a global leader in collaboration and productivity software , trusted by enterprises worldwide to power digital teamwork. We are looking for a Business Analyst with deep experience in Atlassian tools (Jira, Confluence, Marketplace apps) to act as the bridge between engineering teams and business stakeholders. You will define requirements, optimize workflows, support roadmap delivery, and ensure smooth adoption of technology solutions across the organization. Tools: Jira (JSM, Software), Confluence, Marketplace Apps: ScriptRunner, JMWE, JXL, Structure The role is remote, but preferred locations are Delhi NCR or Hyderabad. Responsibilities: Requirements & Analysis - Partner with stakeholders to capture business needs, document requirements, create user stories/acceptance criteria, and translate them into clear technical specifications. Process & Roadmap - Contribute to the product roadmap, analyze workflows, and recommend process improvements to enhance efficiency and user experience. Testing & Quality - Develop and execute User Acceptance Testing (UAT) plans, validate new features, and measure adoption and performance outcomes. Change Management & Training - Lead change management initiatives, create training materials, deliver sessions, and address user concerns to drive smooth adoption. Communication & Engagement - Communicate effectively with technical and non-technical stakeholders through presentations, reports, and updates, ensuring alignment throughout the product lifecycle. Data & Market Insights - Analyze platform usage data, gather user feedback, and stay informed on industry trends, AI, and Atlassian ecosystem developments Requirements What We're Looking For 5-7 years of experience as a Business Analyst, Product Analyst, or similar role. Proven experience with Atlassian tools (Jira, Confluence, and Marketplace apps). Ability to translate business needs into technical requirements. Skilled in stakeholder management, communication, and change management. Experience with UAT, process optimization, and data-driven decision-making
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. Role Overview We are seeking candidates with experience in any programming language or tech stacks to validate and ensure the quality of training data used in developing agentic AI systems. This role involves working with function-calling methods to create structured tasks, ensuring data workflows remain consistent, accurate, and aligned with cutting-edge AI requirements. The position requires 40h/week commitment and 4h/day overlap with PST! The project will last ONE month. Start date is ASAP. Location: India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Brazil, Mexico What does day-to-day look like? Validate large-scale training datasets and maintain strict quality standards Create, manipulate, and structure JSON tasks for function-calling workflows Work closely with AI researchers and teams to align datasets with agentic AI use cases Monitor data accuracy, consistency, and integrity across projects Contribute to documentation and best practices for dataset preparation and validation Evaluation Process (60 - 75 mins) : Automated coding challenge (Choose any programming language) - (30-45) mins Function calling MCQ test (30 mins) Requirements Strong proficiency in Python or JavaScript or Java or any other programming languages Solid understanding of SQL Expertise or Knowledge in handling JSON Exceptional attention to detail with a focus on data quality and consistency Interest in or exposure to agentic AI, LLMs, or NLP best practices Bonus: Prior experience with data annotation tools or prompt engineering for Agent AI