Product Manager (all genders)

HRS, a pioneer in business travel, aims to elevate every stay through innovative technology. With over 50 years of experience, their digital platform, driven by ProcureTech, TravelTech, and FinTech, transforms how companies and travelers Stay, Work, and Pay.
ProcureTech digitally revolutionizes lodging procurement, connecting corporations and suppliers in a cutting-edge ecosystem. This enables seamless efficiency and automation, surpassing travelers expectations. TravelTech redefines the online lodging experience, offering personalized content from selection to check-in, ensuring an unparalleled journey for corporate travelers In FinTech, HRS introduces advancements like mobile banking and digital payments, turning corporate back offices into touchless lodging enablers, eliminating legacy cost barriers. The innovative 2-click book-to-pay feature streamlines interactions for travelers and hoteliers. Combining these technology propositions, HRS unlocks exponential catalyst effects. Their data-driven focus delivers value-added services and high-return network effects, creating substantial customer value. HRSs exponential growth since 1972 serves over 35% of the global Fortune 500 and leading hotel chains. Join HRS to shape the future of business travel, empowered by a culture of growth and setting new industry standards worldwide.

We are seeking a results-driven and customer-focused Product Manager to lead data and AI product initiatives from our Chandigarh/ Mohali office and reporting to HRS HQ. The candidate will act as the leader of a cross-functional team, delivering impactful data and AI solutions that solve real user problems. The candidate will define and own the vision, strategy, and roadmap for data and AI products, ensuring alignment with customer and organizational goals. Prioritize and manage the backlog for the data and AI teams, balancing business impact, technical feasibility, and user needs. In doing so, the candidate knows and loves working with project management tools (such as Jira or Asana). This is a role with high visibility to senior leadership and high opportunity for impact that requires a strategic thinker with a passion for leveraging data and AI to create innovative products that drive measurable outcomes.

• Deeply understand customer pain points, opportunities, and the competitive landscape to inform product direction. Collaborate with cross-functional teams (engineering, data-AI, design) to prototype, test, and validate ideas before scaling.
• Define and articulate a clear, compelling vision for data and AI products that aligns with the company s broader mission. Develop a roadmap grounded in customer outcomes, business impact, and technological feasibility.
• Foster a culture of collaboration, experimentation, and continuous improvement. Partner with engineering and product teams to build scalable, high-quality solutions that deliver on user needs.
• Leverage data to inform decisions, track success metrics, and identify areas for improvement in the product lifecycle. Advocate for robust instrumentation and analytics to ensure products deliver actionable insights to users.
• Lead the design and deployment of AI-powered features and tools that enhance decision-making, automation, and personalization. Stay abreast of advancements in AI/ML and explore their applicability to solve user problems or unlock new opportunities.
• Drive a culture of learning and iteration by conducting regular experiments and incorporating user feedback into the product development process. Challenge assumptions and champion a build, measure, learn mindset to achieve better outcomes.

• Several years of experience as a Product Manager, Business Analyst or similar roles, preferably with a focus on data or AI-driven products. 2.
• Proven track record of shipping impactful products using customer-centric and outcome-driven practices with emphasis on discovery before development. Strong understanding of data concepts, including analytics, KPIs, ETL pipelines, data modeling and LLMs.
• Proficiency with tools like JIRA, Asana, Confluence, or similar for backlog management and documentation.
• Familiarity with data visualization tools (e.g., MicroStrategy, Superset), data platforms (e.g., Oracle, DB2, Exasol or similar) and large language models like llama.
• Cloud Environments like AWS, CGP or Azure.
• Ability to work effectively with technical teams and communicate complex data/AI concepts to non-technical audiences. Analytical mindset with a passion for solving complex problems through data. Ability to thrive in a fast-paced, cross-functional environment.
• Fluency in English is a must.

The attractive remuneration is in line with the market and, in addition to a fixed monthly salary, all necessary work equipment and mobility, will also include an annual or multi-year bonus.