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Product Operations Expert

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Onsite

Product Operations Expert

GSM - Xanh SM

Product Operations Expert

Skills

SQL QueriesData AnalysisMarket Research

14 days ago

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Important information


Contract type:

Permanent

Location:

Gardena, CA, USA

Work mode:

Onsite

Published on:

13 October 2026

What they need


A Product Operations Expert at Green SM plays a vital role in ensuring the seamless integration of product development with operational execution. This position focuses on optimizing product processes, facilitating cross-functional collaboration, and enhancing the overall efficiency of product launches and iterations. Below is an overview of the typical responsibilities and qualifications for this role:

Key Responsibilities:

- Project Management and Product Launches: Coordinate and lead the rollout of products on a global scale, ensuring timely and efficient launches.

- Cross-Functional Collaboration: Work closely with teams such as engineering, design, legal, tax, and support to prepare products for market introduction.

- Process Design and Implementation: Develop and implement tools, processes, and operating models that streamline product launches and enhance operational efficiency.

- Stakeholder Communication: Maintain regular communication with key stakeholders across the organization to ensure alignment on product objectives and strategies.

- Data Analysis and Metrics Tracking: Monitor core business metrics related to products and utilize data-driven insights to inform decision-making and identify areas for improvement

Basic Qualifications:

  • Strong analytical skills with proficiency in data analysis tools; SQL proficiency is preferred.

  • Excellent communication skills, both verbal and written, with the ability to engage and influence internal and external stakeholders.

  • Proven ability to manage large-scale, global projects and collaborate effectively with cross-functional and global teams.

Preferred Qualifications:

  • Experience working on global projects or in an international setting.

  • User or market research experience.

  • Technical background or experience in data analytics

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