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Product Manager III - MLE

Kueski

Full-time
Mexico
product management
machine learning
data science
agile
leadership
The job listing has expired. Unfortunately, the hiring company is no longer accepting new applications.

To see similar active jobs please follow this link: Remote Management jobs

About Kueski

At Kueski, we're dedicated to improving the financial lives of people in Mexico. Since 2012, we've been the leading buy now, pay later (BNPL) and online consumer credit platform in Latin America, known for our innovative financial services. Our flagship product, Kueski Pay, provides seamless payment solutions for both online and in-store transactions, establishing itself as the preferred option for a quarter of Mexico's top e-commerce merchants. Notably, we were the first to introduce BNPL on Amazon Mexico.

We're a tech company with a culture geared toward innovation, collaboration, and impact, fostering a strong, diverse, and inclusive company culture. In 2023, Kueski was recognized as the top BNPL platform by Fintech Breakthrough and earned the title of one of Mexico's most ethical companies from AMITAI. Additionally, we ranked as one of the Best Companies for Female Talent by EFY.

Purpose

The Shared Platform tribe empowers Engineering teams across Kueski by providing a robust and reliable platform that accelerates innovation, enhances productivity, and ensures seamless integration of services. As a Product Manager III for the Shared Platform tribe, you’ll be contributing to MLE and Data Science projects, orchestrating cross-functional teams, and aligning project objectives with the strategic goals of the company. This role ensures that technology empowers both the business and its customers to achieve sustainable growth and financial inclusion

Key Responsibilities

  • Deep understanding of the needs data scientists have to deliver high-quality and reliable machine learning models and policies to be used in production, both in an online and batch fashion. 

  • Overview of the initiatives definition and implementation for the MLOps initiatives, making sure they address and have a tangible impact on the data science needs and objectives. 

  • Stakeholder Management: Work cross-functionally with various technical and business teams to ensure effective communication and alignment of objectives among tribes and departments.

  • Product Strategy: Define and execute the product strategy from conceptualization to launch and scalability, focusing on innovative solutions for the BNPL and microloan markets.

  • Compliance and Risk: Ensure all projects and products comply with applicable local and international regulations, managing associated risks

Position Requirements

  • 5+ Product Management experience defining end-to-end products

  • Strong technical background and understanding of software development processes and methodologies.

  • Ability to work in a fast-paced and agile development environment.

  • Knowledge and experience implementing machine learning models. 

  • Experience working with analytics and data science tools and methodologies.

  • Leadership Skills: Proven ability to lead multidisciplinary teams and manage complex projects.

  • Analytical Skills: Strong analytical skills and experience in data-driven decision-making 

About the job

Full-time
Mexico
Posted 1 year ago
product management
machine learning
data science
agile
leadership
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Product Manager III - MLE

Kueski
The job listing has expired. Unfortunately, the hiring company is no longer accepting new applications.

To see similar active jobs please follow this link: Remote Management jobs

About Kueski

At Kueski, we're dedicated to improving the financial lives of people in Mexico. Since 2012, we've been the leading buy now, pay later (BNPL) and online consumer credit platform in Latin America, known for our innovative financial services. Our flagship product, Kueski Pay, provides seamless payment solutions for both online and in-store transactions, establishing itself as the preferred option for a quarter of Mexico's top e-commerce merchants. Notably, we were the first to introduce BNPL on Amazon Mexico.

We're a tech company with a culture geared toward innovation, collaboration, and impact, fostering a strong, diverse, and inclusive company culture. In 2023, Kueski was recognized as the top BNPL platform by Fintech Breakthrough and earned the title of one of Mexico's most ethical companies from AMITAI. Additionally, we ranked as one of the Best Companies for Female Talent by EFY.

Purpose

The Shared Platform tribe empowers Engineering teams across Kueski by providing a robust and reliable platform that accelerates innovation, enhances productivity, and ensures seamless integration of services. As a Product Manager III for the Shared Platform tribe, you’ll be contributing to MLE and Data Science projects, orchestrating cross-functional teams, and aligning project objectives with the strategic goals of the company. This role ensures that technology empowers both the business and its customers to achieve sustainable growth and financial inclusion

Key Responsibilities

  • Deep understanding of the needs data scientists have to deliver high-quality and reliable machine learning models and policies to be used in production, both in an online and batch fashion. 

  • Overview of the initiatives definition and implementation for the MLOps initiatives, making sure they address and have a tangible impact on the data science needs and objectives. 

  • Stakeholder Management: Work cross-functionally with various technical and business teams to ensure effective communication and alignment of objectives among tribes and departments.

  • Product Strategy: Define and execute the product strategy from conceptualization to launch and scalability, focusing on innovative solutions for the BNPL and microloan markets.

  • Compliance and Risk: Ensure all projects and products comply with applicable local and international regulations, managing associated risks

Position Requirements

  • 5+ Product Management experience defining end-to-end products

  • Strong technical background and understanding of software development processes and methodologies.

  • Ability to work in a fast-paced and agile development environment.

  • Knowledge and experience implementing machine learning models. 

  • Experience working with analytics and data science tools and methodologies.

  • Leadership Skills: Proven ability to lead multidisciplinary teams and manage complex projects.

  • Analytical Skills: Strong analytical skills and experience in data-driven decision-making 

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