Product Manager

4 weeks ago


Bangalore, Karnataka, India Edgeverve Full time

EdgeVerve is a global leader in AI, Automation, and Analytics. It is a wholly-owned subsidiary of Infosys. EdgeVerve develops innovative software products and offers them on-premise or as cloud-hosted business platforms. Its technology empowers enterprises globally to bring life to their digital transformation initiatives. EdgeVerve aims to create a world where its technology augments human intelligence and creates possibilities for enterprises to thrive

Product :

PolarisEdge, part of Infosys Topaz, bridges silos in people, processes, data, and technology for enterprises, amplifying the value of their existing digital core investments.

The PolarisEdge platform acts as a transformative overlay, seamlessly integrating with enterprises' existing systems. It enables businesses to adopt cutting-edge capabilities, enhance operational efficiency, and unlock new opportunities for growth and innovation, all without disrupting their foundational systems.

Role : Product Manager

Responsibilities :

- Partner with Internal and External stakeholders and contribute in building overall product strategy

- Helps to define the product vision

- Communicate with all stakeholders, prepare project plans, release notes, etc., and conduct timely business-technology governance meetings

- Work with engineering /UX teams to provide comprehensive business solutions

- B.tech/MBA

Experience Required :

- 9+ years in the industry with minimum of 5+ years in product Management in

- Prior Experience in AI enabled / using products - NLP or Computer vision or ML or AI

- Familiarity with various generative AI models, such as generative adversarial networks (GANs), variational autoencoders (VAEs), and transformer models, is important to understand their strengths, limitations, and use cases.

- Experience in transformer models like BERT, ContractBERT

- Machine Learning, AI, Language models experience, or experience in AI builder products.

- Limited experience in Data science and data engineering is a plus

- Scaled agile product management principles

(ref:hirist.tech)
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