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BRAHMA AI

Senior Product Manager

Posted One Month Ago
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In-Office
Mumbai, Maharashtra, IND
Senior level
In-Office
Mumbai, Maharashtra, IND
Senior level
Leads strategy, roadmap, and end-to-end development of ML-powered generative AI products. Defines requirements, prioritizes backlogs, integrates ML models into scalable experiences, tracks product metrics, evaluates emerging technologies, and coordinates cross-functional teams spanning ML research, engineering, data, UX, and creative functions.
The summary above was generated by AI
The Senior Product Manager will drive the development and execution of ML-powered products for creating high-fidelity audiovisual artificial content, bridging the intersection of business strategy, user experience, and technical innovation. You will lead product development from ideation to launch, ensuring alignment with business goals and market needs while integrating cutting-edge generative AI.
 
Key Responsibilities

Product Strategy & Vision
  • Define and communicate product vision, strategy, and roadmap aligning with business objectives.
  • Identify market opportunities to leverage core ML capabilities.
  • Establish and track success metrics and KPIs.
  • Translate technical ML concepts into clear value propositions.

Technical Product Management
  • Develop comprehensive product requirements and user stories.
  • Manage product backlog prioritisation.
  • Ensure ML models integration into scalable product experiences.
  • Research emerging technologies to inform decisions.

Cross-Functional Leadership
  • Coordinate with ML researchers, engineers, and data teams.
  • Collaborate with UX/UI and creative professionals.

Innovation & Market Exploration
  • Monitor market trends and evaluate new technologies.
  • Guide explorations into next-gen generative models.
Must Have
  • 5+ years product management experience; minimum 2 years in ML products.
  • Experience managing full product lifecycle (ideation to launch).
  • Proven record in strategic planning for B2B SaaS products.
  • Solid agile methodologies understanding.
  • Technical competency in ML lifecycle and data strategies.
  • Excellent communication and stakeholder management skills.
  • Experience leading cross-functional teams.
Nice to Have
  • Familiarity with infrastructure for large-scale ML operations.
  • Experience with content production and creative technologies.
About You
  • Strategic thinker with strong analytical skills.
  • Collaborative and proactive leader.
  • Able to navigate complexity and ambiguity effectively.

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