Senior Manager Applied Science - Recommendations

Glance Glance is an intelligent shopping agent, redefining the commerce experience. Powered by proprietary agentic intelligence and generative AI, Glance delivers a hyper-personalized consumer experience across mobile and TV — shaping the new era of shopping. Glance is operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of global technology leader InMobi, and is backed by Mithril Capital, Google and Jio Platforms. To learn more, visit glance.com. InMobi InMobi Group is a global technology company shaping the future of agentic commerce and advertising. Through its ecosystem of businesses — including InMobi Advertising and flagship consumer platform Glance — InMobi leverages data, machine learning, and generative AI to help brands reach audiences more precisely and consumers discover products more intuitively. Glance, which is pioneering new models of agentic commerce, is owned and operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of InMobi Pte. Ltd. InMobi Advertising InMobi Advertising, part of global technology company InMobi, is an agentic advertising platform helping brands and merchants achieve their business outcomes. Through its proprietary intelligence, AI-led solutions, and vast consumer reach — including flagship consumer platform Glance — InMobi Advertising delivers the omnichannel performance defining what's next in advertising and commerce. Glance is owned and operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of InMobi Pte. Ltd. To learn more, visit advertising.inmobi.com. Glance - An InMobi Group Company Founded in 2019, Glance is a consumer technology company that operates some of the most disruptive digital platforms including Glance, Roposo, and Glance TV. Glance has redefined the way the internet is consumed on the lock screen, removing the need to search for and download apps. Over 400 million smartphones now come enabled with Glance’s next-generation internet experience. Roposo has revolutionized commerce by launching a destination for creator-led live entertainment commerce. Glance TV is changing the way consumers engage and interact with their televisions. Headquartered in Singapore, Glance is an unconsolidated subsidiary of InMobi Group and is funded by Jio Platforms, Google, and Mithril Capital. For more information, visit glance.com, roposo.com, and inmobi.com. What should you know about joining Glance? At Glance, we walk the talk – free yourself, dream big, and chase your passion! On joining, you’ll have opportunities to make an immediate impact on mission-critical projects, as you work with highly capable and ambitious peer groups. Be rewarded for your autonomy even as you collaborate. Ideate, innovate, and inspire by leveraging bleeding-edge tech to disrupt consumer experiences. While you work, we’ll take care of nourishing your body, mind, and soul. This includes daily meals, gym, trainings, tech tools, and regular unwind sessions. Also, feel free to bring your kids – even the furry ones – to the office! Role overview: You will drive the vision and strategy for the Commerce Intelligence at Glance such as Multi Modal Search, Recommendation Systems, Brand and Price Affinity Modeling and will play a transformational role in driving the larger AI-first aspirations of the company. The Commerce Intelligence team at Glance will play a critical role in driving commerce across the platform. You will have knowledge of current AI and machine learning capabilities and advances in the field. You should also be interested in the academics of data science but be more focused on practical application within recommendation and personalization technology. You will be able to clearly articulate the purpose of data science solutions to key stakeholders and customers, and then translate those into action for the business. The solutions you and your teams provide will encompass such things as product innovations, create efficiencies and automation across the business, improve data architecture and system architecture, mitigate business risks, and create process improvements. We are searching for an individual who thrives on describing a vision and inspiring a team to achieve it. We need a leader who will remove obstacles, break barriers, empower, communicate, and engage. Someone who truly harnesses advanced analytic data modelling systems to drive positive outcomes for our customers. From the defining of a strategy to the execution of it, you will also develop, collect, and report the objective metrics required to assure it. You will own driving employee engagement and increasing productivity across the Data Science team and into Engineering. The impact you’ll make: Define the overall vision for our commerce intelligence, focused on up-levelling internal use of machine learning. Provide technical leadership of overall architecture, ML approaches, performance monitoring, continuing improvement, and production deployments. Manage, develop, coach, and mentor a team of machine learning engineers and big data specialists. Partner with our business and product teams to help predict system behaviour, establish metrics, identify bugs, and improve debugging skills. Ensure data quality and integrity within our products as well as our teams. Partner with our client-facing teams and customers to enhance products and develop client solutions applying critical thinking skills to remove extraneous inputs. Conceive, plan, and prioritize data projects. Lead data mining and collection procedures, especially focused on unstructured and siloed data sets. Experiment with new models and techniques. Drive the implementation of models into Production through various Engineering teams Create a positive culture to maximize productivity and minimize attrition The experience you'll need: PhD or Master’s in a quantitative field such as Computer Science, Electrical Engineering, Statistics, Mathematics, Operations Research or Economics, Analytics, Data Science. Or bachelor's with additional experience. 10+ years of ML related industry experience working on large-scale recommendation systems or personalization. With 3+ years in a leadership role. You would bring deep expertise in the applied algorithms, models, and techniques used to design, scale, and optimize large-scale recommendation systems. You should be comfortable with software programming and statistical platforms such as Tensorflow, PyTorch, scikit-learn, etc. etc. You should be comfortable with using one or more distributed training technologies such as Apache spark, RAPIDS, dask, etc. along with MLOps stack such as kubeflow, mlflow, or their cloud counterparts Comfortable collaborating with cross-functional teams. Excellent technical and business communication skills and should know how to present technical ideas in a simple manner to business counterparts. Possess a high degree of curiosity and ability to rapidly learn new subjects Experience in e-commerce is plus. Since 2019, Glance has built the extraordinary. Beyond just technology. It has built a way of working. Across 5 offices in around 3 countries, through every pivot and breakthrough, one thing has remained constant: we are builders, dreamers, doers. We are fluid enough to move fast, grounded enough to own outcomes, and human enough to care deeply about the work and about one another. Culture is at the core of that ethos. It has been co-created by the people who built this company and by those continuing to shape it every day. It lives in how we work, how decisions are made, how teams show up for one another, and how seriously we take the responsibility to build the best. This is a place where ambition and belonging occupy the same space. Where the bar is high and the support is real. Where freedom comes with trust, and trust comes with accountability. Where you are valued not only for what you do, but for the perspective, judgment and humanity you bring to the work. Where you will be challenged by the work and supported by the communities, passions and experiences that shape who you are beyond your role. If this sounds like the place you have been looking for, join us.