Job Description: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: At least 5 years in technology leadership roles, managing either product or development organizations.Industry Knowledge: Background in AI technology, data labeling, or data annotation services is 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.Benefits:Medical InsuranceTelemedicine BenefitDental InsuranceVision InsuranceFSA and HSALife and Disability InsuranceVacation Time: unlimitedSick Time: 6 days per yearPaid Holidays: 8 days per yearEmployee Assistance Program(k) Retirement PlanPaid Maternity LeavePaid Adoption Leave#J-18808-Ljbffr