AI Product Lead

7 days ago

Bengaluru, Karnataka, India beBeeArtificial Full time ₹ 1,59,40,000 - ₹ 2,42,10,000
Product Manager – AI Solutions

We are seeking a forward-thinking Product Manager to lead the development of AI-powered solutions. This is an exceptional opportunity for a computer science professional with a deep understanding of artificial intelligence and workflow automation.

  • Responsibilities:

  • Product Strategy & Roadmap: Define product vision, strategy, and goals for AI-powered solutions, ensuring alignment with overall objectives.

  • Ai & Automation Expertise: Leverage knowledge of AI to ideate and evaluate product concepts, collaborating with AI scientists and engineers to design state-of-the-art solutions.

  • Cross-Functional Collaboration: Work closely with engineering, design, and business stakeholders to translate requirements into detailed product specifications.

  • Effort Estimation & Prioritization: Use strong technical acumen to accurately scope and estimate level of effort for product features.

  • User-Centric Development: Engage with customers and internal stakeholders to gather feedback on prototypes and existing solutions.

  • Market & Competitive Analysis: Monitor competitive landscape, emerging AI trends, and new technologies to inform product decisions.

  • Performance Measurement: Define and track key performance indicators (KPIs) to evaluate product success.

Requirements
  • Educational Background: Bachelor's or Master's degree in Computer Science, Software Engineering, or related technical field.
  • Technical Experience: Demonstrated understanding of AI technologies, experience working with workflow automation tools, and ability to collaborate with engineering teams.
  • Product Management Experience: 3+ years of product management experience, ideally with AI, ML, or data-focused products.
Preferred Qualifications
  • Cloud Platforms: Experience with cloud platforms for AI and ML model deployment.
  • MLOps Best Practices: Knowledge of MLOps best practices, including version control, CI/CD pipelines, and model monitoring.
  • Data Visualization Tools: Familiarity with data visualization tools and analytics platforms for product insights.

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