Specialist - Product Owner

Overview

Independently manage Product Owner workstreams, driving backlog management, sprint planning and Agile product delivery for Accelya's airline software products.

What you'll do

• Independently manage backlog management, sprint planning and Agile product delivery workstreams, delivering high-quality product outputs on time.
• Use Jira AI, Confluence AI and Claude for user story generation, acceptance criteria drafting and sprint planning support to improve the quality and efficiency of product workflows.
• Partner with engineering, design and commercial teams on product delivery and go-to-market.
• Analyse product metrics, customer feedback and market intelligence to inform product decisions.
• Develop and maintain product roadmaps, backlogs and product specifications.
• Conduct competitive analysis, monitoring Amadeus, Sabre, PROS and FLYR for market intelligence.
• Use generative AI (Claude, ChatGPT) for product documentation, analysis and stakeholder communications.

What you'll need

• 3–5 years of product experience with a track record of independent delivery.
• Good product management skills including roadmapping, backlog management and stakeholder communication.
• Experience with Agile delivery and collaboration tools.
• Strong analytical skills and ability to translate data into product decisions.
• Bachelor's degree in Business, Computer Science, Engineering or a related field.

Nice to have

• Experience using Jira AI, Confluence AI and Claude for user story generation, acceptance criteria drafting and sprint planning support for product workflow acceleration, documentation quality and market research.
• Knowledge of airline technology markets and competitive products from Amadeus, Sabre, PROS and FLYR.
• Understanding of NDC, Modern Airline Retailing and how these standards are shaping next-generation airline software products.
• Familiarity with how AI is reshaping airline software, including AI-powered pricing, demand forecasting and NDC-native offer management.

Details

• Location: Pune COE, India.
• Flexible working hours.
• Smart working: hybrid remote/office working environment.