
Senior Manager, Applied Science
Adobe
full-time
Posted on:
Location Type: Hybrid
Location: San Francisco • California • Washington • United States
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Salary
💰 $171,600 - $357,900 per year
Job Level
Tech Stack
About the role
- Lead and grow a distributed team focused on Generative AI
- Define and execute strategy for acquiring, processing, curating, annotating, versioning, and ensuring quality of large-scale datasets to support diverse customer use cases
- Enable novel capabilities for controllable and precise multi-modal content generation with Generative AI, solving real customer problems
- Build and maintain scalable, efficient data, pre-training, and post-training pipelines across the ML model lifecycle
- Collaborate with researchers, ML engineers, and PMs to align on data, architecture, and control needs for new models
- Evaluate and integrate tools and methodologies to enhance infrastructure and workflows
- Champion data diversity, bias mitigation, and ethical AI practices
- Provide technical leadership and foster a culture of innovation
- Partner across teams to align priorities and share best practices
Requirements
- Ph.D. in CS, Data Science, Engineering, AI/ML, or related field—or equivalent experience
- 10+ years in engineering and research leadership, managing full lifecycle of ML models from research to direct impact on customer workflows
- Deep understanding of ML data lifecycles, especially for modern generative models
- Expertise in data quality, governance, versioning, and annotation platforms
- Proficiency with cloud tech (AWS, Azure, GCP, Spark, Databricks, Snowflake)
- Strong grasp of data privacy, security, and ethical AI principles
- Excellent leadership and cross-functional collaboration skills
- Experience with large-scale image/video datasets and training generative models
Benefits
- Competitive salary
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development opportunities
- Bonuses
- Stock options
- Wellness programs
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Generative AIML model lifecycledata qualitydata governancedata versioningdata annotationcloud technologydata privacydata securitytraining generative models
Soft Skills
leadershipcross-functional collaborationinnovation
Certifications
Ph.D. in CSPh.D. in Data SciencePh.D. in EngineeringPh.D. in AI/ML