Technical Product Manager Data/ Machine Learning

Job Description

About AgodaAgoda is an online travel booking platform that offers accommodations, flights, and more. The company leverages cutting-edge technology to connect travelers with a global network of 4.7M hotels and holiday properties worldwide, along with flights, activities, and additional services. Based in Asia and part of Booking Holdings, Agoda boasts a diverse team of 7,100 employees from 95 nationalities across 27 markets, fostering a work environment rich in diversity, creativity, and collaboration. The company values innovation, experimentation, and ownership, aiming to enhance customers ability to experience the world.PurposeAgodas purpose is to bridge the world through travel, believing that travel enables people to enjoy, learn, and experience the diverse world we live in. By bringing individuals and cultures closer together, travel fosters empathy, understanding, and happiness.Data DepartmentThe Data department at Agoda is responsible for overseeing all data-related requirements within the company. The teams primary goal is to enable and enhance the use of data through innovative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. By hiring talented individuals from around the world, the Data team plays a crucial role in empowering decision-making for various stakeholders within Agoda, including business users, product managers, and engineers. Additionally, the team is dedicated to improving the customer search experience and preventing fraudulent activities through data-driven insights.The OpportunityAgoda is on a mission to empower its employees with the tools necessary to make informed decisions and develop state-of-the-art features and models for its end users by leveraging collected data. As an ML Technical Product Manager, you will be responsible for internal product requirements, analysis, ideation, feature design, roadmap creation, project management, training, and ensuring the quality of solutions. You will play a key role in conceptualizing platform capabilities that empower the organization to deliver exceptional external customer experiences, driving Agodas evolution into a data-driven company.In This Role, Youll Get to- Own the product lifecycle from concept to design, implementation, and analysis- Gather and synthesize requirements from multiple stakeholders- Lead conversations with internal customers to understand user needs and priorities- Demonstrate strong leadership, organizational, and execution skills- Bridge the gap between business and technical aspects effectively- Work with senior engineers to balance product velocity and technical debt tradeoffsWhat Youll Need To Succeed- 5 years of technical experience in ML engineering, Data Scientist, Data Analytics, or related roles- 2 years of technical program/product management experience in a fast-paced environment- Excellent interpersonal, presentation, and organizational skills- Strong communication skills with both business and technical teams- Demonstrated analytical and quantitative skills- Hands-on experience with product management tools (e.g., JIRA)- Strong technical background in Data Science and ML- Problem-solving mindset and ability to figure things out- Willingness to relocate to Bangkok, ThailandEqual Opportunity EmployerAgoda is an equal opportunity employer. We will keep your application on file for future vacancies and provide relocation support for successful candidates. For more information, please refer to our privacy policy.Recruitment AgenciesAgoda does not accept third-party resumes. Please refrain from sending resumes to Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.,

Keyskills :
Data Analyticsinterpersonal skillspresentation skillsanalytical skillsML engineeringData Scientisttechnical programproduct managementorganizational skillsquantitative skillsproblemsolving mindsettechnical background in Data Science