Product Manager, Feature Engineering
5 - 7 years
Bengaluru
Posted: 10/07/2025
Job Description
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 5 years of experience in product management or related technical role.
- 3 years of experience developing or launching infrastructure products or technologies within networking, storage, compute hardware, databases, file systems, data analytics, cluster management, and other software infrastructure areas.
Preferred qualifications:
- Master's degree in a technology or business related field.
- 2 years of experience in software development working cross-functionally with engineering, UX/UI, sales and finance teams.
- Experience with cloud-based data platforms.
- Understanding of AI/ML concepts, including machine learning algorithms, model training, and deployment.
- Understanding of data architectures, data warehousing, data lakes, and data pipelines.
About the job
At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day.
In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.
One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.
Responsibilities
- Define and deliver a product outlook and road-map for data platforms that empower AI/ML innovation.
- Lead the discovery and development of new data products and features that address the evolving needs of data scientists, machine learning engineers, and researchers.
- Collaborate with engineering, data science, and research teams to translate business needs into technical requirements and prioritize initiatives.
- Conduct market research and analysis to identify trends and opportunities in the data and AI/ML space.
- Communicate with stakeholders, including engineers, data scientists, executives, and customers.
About Company
Google is a multinational technology company founded in 1998 by Larry Page and Sergey Brin. It is best known for its search engine but also develops products and services in areas like online advertising (Google Ads), cloud computing (Google Cloud), operating systems (Android, Chrome OS), web browsers (Chrome), and consumer electronics (Pixel devices, Nest). Google is a subsidiary of Alphabet Inc., its parent company formed in 2015. It plays a major role in shaping the internet, AI, and digital innovation globally.
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