BENGALURU · FULLTIME
Senior Product Manager
GTMfund
Bengaluru · onsite · Posted 2d ago
Sourced from
Undisclosed8 yrsfulltimeBengaluru
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Section · 01
About this role
Responsibilities
- Define and own the product vision, strategy, and roadmap for AI/ML-powered B2B products.
- Drive end-to-end product development from discovery and prioritisation to execution, launch, and post-launch optimisation.
- Partner closely with Engineering, Data Science, Design, and Business teams to build scalable and impactful products.
- Translate complex customer, business, and technical requirements into clear product solutions.
- Lead cross-functional teams to deliver products that create measurable business and customer impact.
- Define product success metrics and leverage data-driven insights to guide decision-making.
- Communicate product strategy, roadmap, priorities, and outcomes effectively to leadership and key stakeholders.
- Evaluate emerging technologies, including AI/ML, GenAI, LLMs, and Agentic AI, and identify opportunities to apply them to product offerings.
Requirements
- 8+ years of Product Management experience with ownership of product strategy, roadmap, and execution.
- Minimum 3 years of experience building or managing AI/ML-powered products.
- Minimum 3 years of experience working on B2B products.
- Strong technical background.
- Demonstrated ability to work effectively with engineering teams and understand technical trade-offs.
- Proven experience defining product strategy and delivering successful products in fast- paced environments.
- Strong analytical, problem-solving, and decision-making capabilities.
- Excellent communication, presentation, stakeholder management, and storytelling skills.
- Experience working at leading product companies and/or strong academic credentials from top-tier engineering institutions is preferred.
- Exposure to GenAI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, or AI platform products is highly desirable.
- Experience launching AI-powered products or features in production environments is a plus.
- Ability to operate effectively in ambiguous environments and drive alignment across cross- functional stakeholders.
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Section · 02
Skills
Retrieval Augmented GenerationLarge Language Models (LLMs)Agentic AiGenerative AiArtificial IntelligenceMachine Learning