جاباما
جاباما

Product Manager AI

Tehran/ Sadeghieh
Full Time
شنبه تا چهاشنبه
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Loan -Bonus -Commision -Military Service Option -Health insurance -Recreational accommodation -Flexible working hours -Learning stipends -Game room -Purchasing coupon -Lunch -Snacks -Gym facilities -Resting space -Recreational and tourism facilities -Breakfast -Employee stock ownership -Occasional packages and gifts
51 - 200 employees
Internet Provider / E-commerce / Online Services
Iranian company dealing only with Iranian entities
1395
Privately held
توضیحات بیشتر

key Requirements

2 years experience in similar position
Managerial work experience

Job Description

As an AI Product Manager specializing in Search Ranking and Pricing, you’ll play a pivotal role in optimizing user experience and revenue generation within a marketplace environment. Your primary responsibilities will revolve around leveraging data-driven insights and machine learning algorithms to enhance search ranking algorithms and pricing strategies.

Key Responsibilities:

1) Strategy Development:

  • Collaborate with cross-functional teams including engineering, data science, marketing, and business development to define the product vision and strategy.
  • Identify market trends, competitor strategies, and user feedback to inform product roadmaps and feature prioritization.

2) Search Ranking Optimization:

  • Utilize machine learning techniques to develop and refine search ranking algorithms, ensuring optimal search results for users.
  • Conduct A/B tests and analyze user engagement metrics to continuously improve search relevance and ranking algorithms.
  • Implement strategies to personalize search results based on user preferences and behaviors.

3) Pricing Strategy Enhancement:

  • Analyze pricing data and market dynamics to optimize pricing strategies for hosts and guests.
  • Develop dynamic pricing models leveraging AI and machine learning algorithms to maximize revenue while maintaining competitiveness.
  • Monitor pricing performance metrics and iterate pricing strategies based on market conditions and user behavior.

4) Feature Development and Optimization:

  • Work closely with engineering teams to translate product requirements into technical specifications and oversee the development process.
  • Conduct user research and usability studies to identify opportunities for feature enhancements and optimizations.
  • Collaborate with data scientists to integrate advanced analytics and predictive modeling into product features.

5) Performance Tracking and Reporting:

  • Define key performance indicators (KPIs) and metrics to measure the effectiveness of search ranking and pricing strategies.
  • Generate regular reports and dashboards to communicate product performance and insights to stakeholders.
  • Use data-driven insights to identify areas for improvement and iterate on product features and strategies accordingly.

6) Stakeholder Management:

  • Act as the primary point of contact for stakeholders, providing updates on product development, performance, and roadmap.
  • Collaborate with marketing and sales teams to develop go-to-market strategies for new features and product enhancements.
  • Solicit feedback from internal and external stakeholders to continuously refine product strategies and roadmap.

Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Business, or related field.
  • Proven experience in product management, preferably in a technology-driven environment with a focus on AI, machine learning, or data analytics.
  • Strong understanding of search ranking algorithms, pricing strategies, and marketplace dynamics.
  • Proficiency in data analysis and interpretation, with experience using tools such as SQL, Python, etc
  • Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams.
  • Demonstrated ability to translate business requirements into technical specifications and drive product development from concept to launch.
  • Strong problem-solving skills and a passion for leveraging technology to solve complex business challenges.

Job Requirements

Age
20 - 35 Years Old
Gender
Men / Women

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