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    Vice President of Technology - Welo Data

    Mexico

    Job Description

    This job posting has expired and no longer accepting applications.

    WeloData, our fastest growing business unit, is a leader in AI-driven data labeling services, delivering cutting-edge solutions to some of the world’s largest technology companies. We are dedicated to providing high-quality, scalable data annotation and labeling to fuel AI and machine learning models. Our team operates globally, and we are looking for a visionary leader to guide our technology and product teams to new heights.

    ROLE OVERVIEW
    We are seeking an experienced VP of Technology to lead software development and product management for a key business unit within our organization. This person will play a critical role in advancing our AI data labeling services, overseeing both product and engineering functions. The ideal candidate will have extensive experience managing global, cross-functional teams with a proven track record of successful product and technology leadership.

    KEY RESPONSIBILITIES
     · Strategic Leadership: Develop and execute a technology roadmap in alignment with company goals, focusing on innovation, efficiency, and quality in AI data labeling services.
     · Team Management: Lead and inspire a team of product managers, engineers, and technical leaders across global locations, including onshore and offshore teams.
     · Collaboration: Partner closely with other business unit leaders and cross-functional partners to align technology initiatives with business needs.
     · Product Development: Oversee product management for new and existing AI data labeling products, ensuring alignment with market trends, client demands, and technological advancements.
     · Operational Excellence: Establish and refine processes that promote agility, innovation, and operational efficiency within development and product teams.
     · Technical Expertise: Serve as a technology advisor, staying current with AI and data labeling advancements to guide strategy and innovation.

    QUALIFICATIONS
     · Experience: 10+ years in technology leadership roles, with at least 5 years managing either product or development organizations.
     · Industry Knowledge: Background in AI technology, data labeling, or data annotation services is highly preferred.
     · Global Management: Proven ability to lead global teams, including both onshore and offshore team members.
     · Technical Proficiency: In-depth understanding of software development processes, data management, and cloud-based infrastructures.
     · Education: Bachelor’s degree in Computer Science, Engineering, or related field; advanced degree preferred.

    PREFERRED SKILLS
     · AI and Machine Learning Expertise: Knowledge of machine learning model training, data labeling workflows, and related technologies.
     · Agile Methodologies: Proficiency in agile development processes and frameworks.
     · Client-Facing Skills: Ability to work effectively with large enterprise clients to understand and meet their evolving needs.


    WeloData, our fastest growing business unit, is a leader in AI-driven data labeling services, delivering cutting-edge solutions to some of the world’s largest technology companies. We are dedicated to providing high-quality, scalable data annotation and labeling to fuel AI and machine learning models. Our team operates globally, and we are looking for a visionary leader to guide our technology and product teams to new heights.

    ROLE OVERVIEW
    We are seeking an experienced VP of Technology to lead software development and product management for a key business unit within our organization. This person will play a critical role in advancing our AI data labeling services, overseeing both product and engineering functions. The ideal candidate will have extensive experience managing global, cross-functional teams with a proven track record of successful product and technology leadership.

    KEY RESPONSIBILITIES
     · Strategic Leadership: Develop and execute a technology roadmap in alignment with company goals, focusing on innovation, efficiency, and quality in AI data labeling services.
     · Team Management: Lead and inspire a team of product managers, engineers, and technical leaders across global locations, including onshore and offshore teams.
     · Collaboration: Partner closely with other business unit leaders and cross-functional partners to align technology initiatives with business needs.
     · Product Development: Oversee product management for new and existing AI data labeling products, ensuring alignment with market trends, client demands, and technological advancements.
     · Operational Excellence: Establish and refine processes that promote agility, innovation, and operational efficiency within development and product teams.
     · Technical Expertise: Serve as a technology advisor, staying current with AI and data labeling advancements to guide strategy and innovation.

    QUALIFICATIONS
     · Experience: 10+ years in technology leadership roles, with at least 5 years managing either product or development organizations.
     · Industry Knowledge: Background in AI technology, data labeling, or data annotation services is highly preferred.
     · Global Management: Proven ability to lead global teams, including both onshore and offshore team members.
     · Technical Proficiency: In-depth understanding of software development processes, data management, and cloud-based infrastructures.
     · Education: Bachelor’s degree in Computer Science, Engineering, or related field; advanced degree preferred.

    PREFERRED SKILLS
     · AI and Machine Learning Expertise: Knowledge of machine learning model training, data labeling workflows, and related technologies.
     · Agile Methodologies: Proficiency in agile development processes and frameworks.
     · Client-Facing Skills: Ability to work effectively with large enterprise clients to understand and meet their evolving needs.


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    Welocalize

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    About the job

    Posted on

    Nov 6, 2024

    Apply before

    Dec 6, 2024

    Job typeFull-time
    CategoryData Science

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