
Roblox · Singapore
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created ...
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive
digital experiences– all created by our global community of developers and creators.
At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life.
Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to
connect a billion people with optimism and civility, and looking for amazing talent to help us get there.
A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale,
and helping to create safer, more civil shared experiences for everyone.
We are hiring a Senior Product Policy Manager with expertise in regional compliance and localized policy contextualization for
Southeast Asia / South Asia. You will join a growing team that works across the Americas, Europe, Middle East, Africa, Oceania,
India and Asia-Pacific, and is responsible for aligning Roblox's product with global and regional norms by adapting our policies
to evolving international and regional regulations and expectations.
A member of the Product Policy team, you will have a global impact on our policy and safety strategy. You will collaborate
internally with our product, engineering, business, legal, public policy, marketing, communications, and operations teams to help
drive the business forward on a foundation of safety & civility.
Asia / South Asia regulators
enforced
users
for compliance with Roblox policies and local laws
solutions, and propose viable policy paths forward
Coalition (IARC) (Preferred)
Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless
otherwise noted).
Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and
harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected
veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or
local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during
the recruiting process.
For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work
authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
About Agoda At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide. No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us. GET TO KNOW OUR TEAM: In Product, ideas come alive. The world is moving fast so our culture empowers ownership and minimal bureaucracy. That’s the environment that enables you to do what you think is right – and quickly. Our Product Managers move fast, fail, learn, and pivot. Being a product-centric organization, our team works cross-functionally to build products from conception to launch by bringing together engineering and business worlds. Agoda Product Managers work closely with executive leadership and have high visibility among the C-suite; they have direct impact on Agoda’s growth and strategy. Product puts our travelers first and delivers that special travel experience in the most creative expression. THE OPPORTUNITY: This role is SINGAPORE-BASED, Our Principal Product Managers are analytical, data-driven product leaders who independently drive large, complex initiatives end-to-end. In this role, you will lead the Trip Planner team, shaping a multi-quarter to multi-year vision for how travelers plan and manage their whole trip with Agoda. As our Trip Planner Principal Product Manager, you will lead a group of Product Managers and partner closely with senior leaders across Product, Engineering, Design, Data, and business functions to define strategy and align stakeholders around a clear roadmap for the trip canvas and cross-product travel experiences. You will have dedicated engineering capacity that you are accountable for directing and prioritizing, and are expected to be hands-on with your teams, with strong technical understanding of Agoda’s systems. You will champion a culture that balances traveler experience with KPI optimization and quality, driving cross-team initiatives that meaningfully improve our Trip Planner product. Beyond your immediate scope, you are an agent of change and a culture carrier: you initiate better ways of working and you help develop other PMs by modeling Agoda’s product principles and leadership behaviors. IN THIS ROLE, YOU’LL GET TO: * Lead and develop a group of Product Managers, providing clear direction, coaching, and actionable feedback. * Shape product vision and roadmap aligned with Agoda’s business goals. * Analyze the online travel ecosystem, markets, competitive landscape and user requirements. * Conceptualize, launch and optimize products and features, experiment, test their performance and iterate quickly. * Work collaboratively with Engineering, Data Science, Machine Learning engineering, Marketing, Legal and UX teams on cutting-edge technologies. * Develop innovative solutions to some of the world’s difficult problems by collaborating as needed across regions, product areas, and functions. WHAT YOU’LL NEED TO SUCCEED: * Bachelor’s degree in technical field (i.e. Computer Science, Statistics, Engineering, Mathematics, or similar quantitative discipline). * Proven ability to leverage analytics and quantitative methods to inform and influence decision-making * Strong data skills * Excellent communication skills (both verbal and written in English) with proven ability to convey complex messages clearly and with conviction to different stakeholders * Experience developing and launching products * Experience leading global product vision, go-to-market strategy and design discussions. * Experience leading and developing a team of Product Managers. * Experience in travel planning, trip management, or itinerary products (e.g., trip planners, travel assistants, or similar multi-product experiences). * Understanding of generative AI and machine learning concepts. * Entrepreneurial and analytical skills; effective at breaking down complex problems and driving and managing change * Hands-on mentality IT’S GREAT IF YOU HAVE: * MBA or Master’s degree in Math, Economics, Computer Science or Statistics * Data tools – SQL, Python, R, or equivalent This role is based in Singapore. We are unable to offer visa sponsorship for this position, and candidates are expected to have valid work authorization in Singapore. #seattle #sanfrancisco #beijing #newyork #london #bangkok #singapore #chicago #hongkong #singapore #berlin #shanghai #losangeles #boston #austin #toronto #luxembourg #munich #oslo #copenhagen #stockholm #helsinki #brussels #hamburg #stuttgart #taipei #hamburg #stuttgart #dublin #telaviv #sydney #melbourne #perth #vancouver #montreal #prague #paris #dublin #telaviv #milan #rome #tokyo #osaka #lisbon #amsterdam PLEASE REVIEW OUR HIRING PROCESS GUIDELINES BEFORE YOUR INTERVIEW — CLICK HERE TO LEARN HOW INTERVIEWING AT AGODA WORKS. DISCOVER MORE ABOUT WORKING AT AGODA * Agoda Careers https://careersatagoda.com * Facebook https://www.facebook.com/agodacareers/ * LinkedIn https://www.linkedin.com/company/agoda * YouTube https://www.youtube.com/agodalife Equal Opportunity Employer At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy. Disclaimer We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
Data scientists at Thoughtworks apply a deep knowledge of statistics, modeling, machine learning algorithms and data mining techniques. This is coupled with awareness of adjacent areas, to make business value and data insights visible, enabling clear and effective decision making. They are responsible for the strategy, implementation, productionization and articulation of business impact. They collaborate with cross-functional teams and communicate findings to both technical and non-technical stakeholders. They stay up-to-date with industry advancements, ensure data quality and security, and provide guidance to junior team members. As a data scientist at Thoughtworks, you'll work on a range of projects and leverage deep technical knowledge to solve complex business problems. JOB RESPONSIBILITIES * You will work collaboratively with teams/products, crafting data science and machine learning solutions that generate a big impact on customers. * You will conduct experiments and develop hypotheses to solve business problems using advanced statistics techniques. * You will develop and implement data science strategies that drive measurable business results. * You will communicate technical findings and insights to stakeholders in a clear, easy and concise way, keeping the stakeholders in mind. * You will interact with clients from diverse domains, addressing their challenging problems. * You will contribute to the growth and knowledge sharing within the data science community, with a focus on latest tech trends in the data science and machine learning space. * You will address ethical concerns in data science, including privacy, bias and fairness, while adhering to ethical guidelines. JOB QUALIFICATIONS TECHNICAL SKILLS * You have experience with statistical modeling, machine learning, deep learning, optimization and other data science techniques to implement end-to-end data science projects. * You understand the specialized areas of AI and possess experience with at least one of them (i.e.: NLP/computer vision/Generative AI, etc). * You have experience with R, Python or equivalent statistical/data analysis tools and can write production-ready code that is easy to evolve and test. * You gather and preprocess large volumes of structured and unstructured data from various sources, ensuring data quality and integrity. * You analyze datasets using statistical and visualization techniques to identify patterns, trends and relationships. * You develop and implement machine learning models, algorithms and predictive analytics to solve specific business problems or improve existing processes. * You evaluate model performance using appropriate metrics and validate models to ensure robustness and reliability. * You interpret and effectively communicate findings and insights to non-technical stakeholders through reports, presentations and visualizations. * You are aware of data privacy regulations and ethical standards when handling sensitive information. PROFESSIONAL SKILLS * You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way. * You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives. * You don’t shy away from risks or conflicts, instead you take them on and skillfully manage them. * You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work. * You enjoy influencing others and always advocate for technical excellence while being open to change when needed. OTHER THINGS TO KNOW LEARNING & DEVELOPMENT There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys. ABOUT THOUGHTWORKS Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we’re pushing boundaries through our purposeful and impactful work. For 30+ years, we’ve delivered extraordinary impact together with our clients by helping them solve complex business problems with technology as the differentiator. Bring your brilliant expertise and commitment for continuous learning to Thoughtworks. Together, let’s be extraordinary. #LI-Onsite See here our AI policy.
Senior Machine Learning Engineers at Thoughtworks build, maintain and test the architecture and infrastructure for managing machine learning applications. They are involved in supporting and contributing to the design of the end-to-end applications and products. They are responsible for building core capabilities including technical and functional machine learning systems and applications, being the anchor for functional streams of work and are accountable for timely delivery. As a senior machine learning engineer, you will work on the latest tools, frameworks and offerings while also being involved in enabling credible and collaborative problem solving to execute on a strategy. Due to the project requirement, candidates must be Singaporean citizens or already hold Singaporean Permanent Residency (PR) at the time of application. JOB RESPONSIBILITIES * You will contribute to design and drive the development of robust scalable architectures and infrastructure for deploying and managing machine learning (ML) applications, ensuring high availability, performance and security. * You will collaborate with data scientists and engineers to translate business needs into effective and efficient ML systems and applications. * You will own the development and maintenance of core functionalities within ML applications, including ML pipelines, model training and deployment, and monitoring and evaluation. * You will drive the functional stream of work by providing technical expertise, handling team discussions and ensuring timely delivery of assigned tasks. * You will stay ahead of the curve by actively exploring and implementing the latest tools, frameworks and offerings in the ML landscape. * You will facilitate collaborative problem solving within the team by actively listening, communicating effectively and mentoring other engineers. * You will contribute to the development and execution of the team's overall ML strategy, aligning technical capabilities with business objectives. * You will proactively identify and address challenges related to ML systems and applications, proposing solutions and implementing improvements. JOB QUALIFICATIONS TECHNICAL SKILLS * You have experience in writing clean, maintainable and testable code, demonstrating attention to refactoring and readability of the code. * You are proficient in scripting languages such as Python or Shell for automation and task streamlining. * You have knowledge of distributed systems and scalable architectures to handle large-scale ML applications. * You have experience with building, deploying, and maintaining ML systems using relevant ML techniques and platforms, i.e.: Scikit-learn, Tensorflow, MLFlow, Kubeflow, Pytorch. * You have experience with building, deploying and maintaining ML systems and experience with application of MLOps principles and CI/CD to ML. * You have experience in machine learning engineering and data science, are familiar with key ML concepts, algorithms and frameworks, and understand ML model lifecycles. * You have experience with designing and operating the infrastructure required to run different types of ML training and serving workloads, i.e.: on-premise vs. cloud infrastructure, infrastructure as code, monitoring, etc. * You have hands-on experience with on-premise and cloud services for building and deploying ML pipelines, i.e.: Azure, AWS, GCP or Databricks and associated ML managed services. PROFESSIONAL SKILLS * You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way. * You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives. * You don’t shy away from risks or conflicts, instead you take them on and skillfully manage them. * You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work. * You enjoy influencing others and always advocate for technical excellence while being open to change when needed. OTHER THINGS TO KNOW LEARNING & DEVELOPMENT There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys. RESPONSIBLE USE OF AI IN RECRUITMENT At Thoughtworks, we use AI tools to support our recruitment team with administrative tasks such as drafting communications, scheduling interviews and writing job descriptions. Crucially, our AI tools do not screen, assess, rank or make hiring decisions. Every application is reviewed by our team and all selection decisions are made exclusively by our interviewers and hiring managers. We are committed to fairness and responsible AI. We actively manage our AI systems by testing, monitoring for biased outcomes and implementing mitigation measures. We hold our third-party vendors to these same high standards through a rigorous governance process. For additional information, please see our full Thoughtworks AI Policy for Recruitment. ABOUT THOUGHTWORKS Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we’re pushing boundaries through our purposeful and impactful work. For 30+ years, we’ve delivered extraordinary impact together with our clients by helping them solve complex business problems with technology as the differentiator. Bring your brilliant expertise and commitment for continuous learning to Thoughtworks. Together, let’s be extraordinary. #LI-Onsite See here our AI policy.