Core Experience & AI Product Manager
New
J
JobgetherDigital Platforms
IndiaFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 5–10 years
- Required Skills
- Data AnalysisProduct ManagementStakeholder managementA/B testingGenerative AI
Requirements
- 5–10 years of product management experience, ideally including experience in fintech, cryptocurrency/Web3, AI-powered products, or other complex digital platforms.
- Strong understanding of consumer-facing (2C) product development, UI/UX principles, design thinking, and user journey optimization.
- Demonstrated experience shipping user-facing products with measurable impact on conversion, activation, engagement, or other meaningful business and user metrics.
- Strong analytical and data-driven approach, with the ability to structure ambiguous problems, define meaningful success metrics, interpret data, and make evidence-based decisions.
- Proven ability to create clear product specifications and translate business, technical, and user requirements into executable product strategies.
- Experience developing or optimizing personalization, recommendation, search, or AI-enabled product experiences.
- Experience collaborating with AI/ML, recommendation, search, or LLM teams.
- Strong stakeholder-management skills, with the ability to influence engineering, design, data, business, and senior stakeholders without relying on formal authority.
- Demonstrated ability to work independently, take ownership, solve problems proactively, and move quickly from opportunity identification to execution.
Responsibilities
- Own and drive core consumer-facing platform experiences across the homepage, user center, AI-powered generative interfaces, market pages, and related site operations.
- Design, launch, and continuously optimize onboarding flows and end-to-end user journeys to improve new-user conversion and activation.
- Develop and iterate personalization and recommendation strategies that deliver relevant content based on user context, behavior, and needs.
- Partner with engineering teams to build and improve personalization engines, recommendation capabilities, and adaptive generative UI experiences.
- Collaborate with AI, search, recommendation, and LLM teams to translate advanced model capabilities into valuable, user-facing product experiences.
- Define product success metrics and use quantitative and qualitative insights to guide prioritization and product decisions.
- Design and run experiments, analyze results, and continuously iterate on features to improve conversion, engagement, and overall product performance.
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