Manager, Applied Science for Data

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Company Overview

A leading global technology organization is advancing creativity through innovative platforms and AI-powered tools. Its teams develop technologies that help individuals and businesses create, collaborate, and transform ideas into impactful digital experiences.

The organization is seeking an experienced Manager, Applied Science for Data to lead and evolve the training data ecosystem that supports Generative AI models for content synthesis and editing across multiple modalities, including imaging and video.

The role will focus on developing and scaling the science, data pipelines, and strategies required to support next-generation creative tools. The successful candidate will bring a strong foundation in applied research, data algorithms, large-scale data pipelines, and machine learning, together with a passion for enabling advanced AI research and product development.

As a Manager for Applied Science, the successful candidate will develop innovative, data-centric solutions that advance creativity through AI-powered features and products used by millions of people worldwide.

Key Responsibilities

• Lead and grow a distributed team focused on developing and managing training data for Generative AI.
• Define and execute strategies for acquiring, processing, curating, annotating, versioning, and maintaining the quality of large-scale datasets for Custom Foundation Models.
• Build and maintain scalable and efficient data pipelines throughout the training data lifecycle.
• Collaborate with researchers, machine learning engineers, and product managers to align data strategies with foundation model requirements.
• Champion data diversity, bias mitigation, and responsible AI practices.
• Evaluate and integrate tools, technologies, and methodologies that improve data infrastructure and development workflows.
• Provide insights into data quality and availability to influence model development and performance.
• Provide technical leadership while fostering a culture of innovation, collaboration, and continuous improvement.
• Partner with teams across the organization to align data priorities, establish best practices, and support strategic AI initiatives.

Required Qualifications

• Master’s or Ph.D. in Computer Science, Data Science, Engineering, Artificial Intelligence/Machine Learning, or a related field, or equivalent practical experience.
• 5+ years of experience in engineering leadership.
• Deep understanding of machine learning data lifecycles, particularly those supporting Generative AI models.
• Experience with the science and algorithms underlying data systems for Generative AI.
• Experience creating and curating synthetic data.
• Strong understanding of data privacy, security, and responsible AI principles.
• Excellent leadership, communication, and cross-functional collaboration skills.
• Experience working with large-scale image and video datasets. (Adobe Workday Jobs)

Preferred Skills and Experience

• Experience leading distributed teams working on machine learning or AI data systems.
• Strong knowledge of large-scale data processing and data pipeline architecture.
• Experience supporting foundation models and Generative AI applications.
• Understanding of data quality, annotation, curation, and dataset versioning.
• Experience working across research, engineering, and product organizations.
• Strong ability to translate data insights into improvements in AI model development.
• Passion for advancing AI-powered creative technologies.

Disclaimer

SpringCube curates tech job listings from various company websites to support tech professionals globally.

1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
2. No Client Relationship: This company is not a client of SpringCube unless stated.
3. To Apply: Click the Apply button to be redirected to the hiring company’s application page for this job.
4. No Liability: SpringCube is not liable for inaccuracies.