AI Product Manager - GenAI and Roadmap Lead

Wipro

Port Reading (NJ)

Vor Ort

USD 80.000 - 158.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

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Zusammenfassung

Wipro Limited is seeking a Product Manager (AI) to define and drive AI/GenAI product strategy, owning the roadmap, backlog, and success metrics. You will collaborate with engineering, design, and business stakeholders in an agile environment, leveraging cloud AI platforms, and aim to deliver healthcare/regulatory-compliant solutions.

The role requires 8-10 years of experience in AI modernization and a strong understanding of AI/ML product life cycles.

Qualifikationen

  • 8-10 years of experience in AI/GenAI product management or AI modernization consulting.
  • Experience leading AI/ML or GenAI product initiatives.
  • Familiarity with GCP Vertex AI or CCAI is a strong plus.
  • Ability to define success metrics and work with evaluation/quality data.

Aufgaben

  • Product management for AI/ML or GenAI products (ideally conversational AI/LLM-based).
  • Owning product roadmap, backlog, and requirements; writing user stories and acceptance criteria.
  • Running agile/scrum ceremonies and coordinating across engineering, design, and business stakeholders.
  • Familiarity with GCP / Vertex AI / CCAI (or comparable cloud AI platforms) a strong plus.
  • Defining success metrics and working with eval/quality data.
  • Healthcare or regulated-industry experience a plus.

Kenntnisse

AI product management
Roadmap & backlog
User stories & acceptance criteria
Agile / Scrum
Cloud AI platforms
Success metrics
Regulated industries

Jobbeschreibung

Wipro Limited is seeking a Product Manager (AI) to define and drive AI/GenAI product strategy, owning the roadmap, backlog, and success metrics. You will collaborate with engineering, design, and business stakeholders in an agile environment, leveraging cloud AI platforms, and aim to deliver healthcare/regulatory-compliant solutions.

The role requires 8-10 years of experience in AI modernization and a strong understanding of AI/ML product life cycles.

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