About the job About Us: RateGain is a leading provider of SaaS products, which help travel and hospitality companies with cognitive revenue management, smart e-distribution, and brand engagement to make more revenue every day. RateGain is proud to support 250,000+ hotel properties globally by providing 240 billion rate and availability updates & powering over 30 Million bookings. RateGain is trusted by 25 out of the top 30 OTAs, world’s fastest-growing airlines, 23 of the top 30 hotel chains, tour operators and wholesalers, all top car rental companies, largest cruise lines, and the largest travel management companies. In 2018, RateGain acquired DHISCO, which made it the only company in the world to offer end-to-end smart distribution. In June 2019, RateGain acquired award-winning BCV to offer guest experience cloud to maximize guest lifetime value for hospitality chains. RateGain further acquired MHS in 2021, a leading online direct revenue acquisition partner for hotels with an aim to improve their profitability and distribution independence. For more information, visit www.rategain.com. Exploring the role: We are looking for a Associate – Product Manager for the DaaS Business. The Candidate will be responsible for shaping and delivering data products that empower our clients to make data-driven decisions, optimize their daily operations, and achieve their business objectives. This role requires a curious, technically proficient, and data- savvy individual who can effectively collaborate with cross-functional teams, communicate with stakeholders at all levels, and work closely with Sales and Marketing to develop go-to-market strategies. How your day will look like/Job responsibility: We are looking for a Associate – Product Manager for the DaaS Business. The Candidate will be responsible for shaping and delivering data products that empower our clients to make data-driven decisions, optimize their daily operations, and achieve their business objectives. This role requires a curious, technically proficient, and data- savvy individual who can effectively collaborate with cross-functional teams, communicate with stakeholders at all levels, and work closely with Sales and Marketing to develop go-to-market strategies.. How your day will look like/Job responsibility Conduct user research to understand user needs, pain points, and preferences. Validate product prototypes using design thinking concepts, ensuring that the final product meets user expectations. Gain a deep understanding of client needs and objectives, translating this knowledge into data product features that enhance their daily efficiency. Continuously gather feedback to improve and refine data products to meet evolving client requirements. Utilize your expertise in data analysis to create insightful dashboards and reports that provide actionable insights to clients. Work on large datasets, extracting meaningful information and presenting it in a user- friendly format. Collaborate with Sales and Marketing teams to develop effective go-to-market strategies for new data products. Articulate the vision of the product to prospective clients, showcasing its value and impact. Dive deep into complex problem statements, leveraging your strong analytical skills to extract insights from large datasets. Use data-driven approaches to identify opportunities and recommend solutions that align with our clients' objectives. Collaborate with various stakeholders, including clients, internal teams, and engineering, to understand their requirements and translate them into actionable product features. Maintain open lines of communication, ensuring stakeholders are informed about the progress and impact of data product initiatives. Possess a solid technical foundation, allowing you to effectively communicate with engineering teams and bridge the gap between technical and non-technical stakeholders. Understand data architecture, tools, and technologies relevant to data product development. Education & Work Experience: 6 - 8 years of experience with Product Management or similar profile/role. Graduation / Post Graduation in related fields with excellent communications skills. Knowledge: Skilled in data analysis techniques such as statistical analysis, data mining, and data visualization to extract meaningful insights from large datasets. Strong software proficiency, with a preferred understanding of SaaS data products. Skills: Skilled at communicating technical concepts to non-technical stakeholders and collaborating with cross-functional teams to transform requirements into actionable product features. Excellent analytical and critical thinking abilities to identify opportunities, resolve challenges, and propose solutions aligned with client objectives. Possesses a strong operational perspective with well-articulated, fact-based opinions. Attitude: Strong ownership and a creative approach to problem solving.