Lowongan Kerja Jakarta Raya Posisi Senior Product Manager, Data Science Platform And Data Pipelines di PT Aplikasi Karya Anak Bangsa (GO-JEK Indonesia)

About The Role

You’ve got an appointment, so you open your Gojek app to order a ride. Behind the scenes, we run numerous data streaming jobs and machine learning models within seconds to provide you and our partners with the best possible experience. However, managing the underlying data engineering and science infrastructure in production is more challenging than it should be. That’s where our team comes in. Our promise to business users, data scientists, and data engineers is simple: focus on your core responsibilities while we handle the complex engineering problems. 

As a Product Manager, you’ll engage with business users, data scientists, data engineers, and other data consumers to identify their needs and translate them into platform capabilities. We solve software engineering problems for data users, and you will be the bridge between these two worlds.

We are seeking an experienced Senior Product Manager to lead the development and growth of our Data Science Platform, including GenAI platforms/products and Streaming/Batching Pipeline products. This role is essential for enabling our data consumers to deliver insights and products efficiently, ensuring seamless data flow across the organization.

About The Team

The mission of the Gojek Data organization is to elevate user satisfaction, foster trust, and deliver significant value to both our customers and company through advanced data analytics. Our team manages a spectrum of critical technologies including data platforms, data science platforms, data streaming (Daggers, Firehoses), and batching products (Optimus). We also collaborate closely with customer engagement and insights platforms such as Marketing Comms, experimentation, segmentation, and product analytics, all of which play pivotal roles in Gojek’s offerings—from dynamic pricing and driver allocation to food recommendations and fraud prevention.

The Data organization supports all user personas across the entire data lifecycle, from data ingestion through transformation, utilizing analytics and experimentation to extract meaningful insights. Many of our products are open source and accessible on Github, underscoring our commitment to transparency and collaboration.

In addition to driving company growth, we prioritize the personal development and well-being of every team member. We are dedicated to leveraging intelligent technology and innovative engineering approaches to simplify daily life. Furthermore, we share a passion for chai, movies, and TV shows, which contributes to our vibrant team culture.