AI Digital Product Sr Manager - AI Studio
New
J
JobgetherResearch & Development
Fully remote opportunity within the United States.Full-TimeManager
Salary$162,048.25 - $219,241.75 per year
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Job Details
- Experience
- Master's degree with 6+ years, Bachelor's degree with 8+ years, or equivalent combination of education and Information Technology experience.
- Required Skills
- AWSArtificial IntelligenceCloud ComputingMachine LearningProduct ManagementAzureDatabricksPrompt Engineering
Requirements
- Master's degree with 6+ years, Bachelor's degree with 8+ years, or equivalent combination of education and Information Technology experience.
- Extensive experience leading digital AI products, defining product strategy, developing roadmaps, and measuring product success.
- Strong technical knowledge of AI technologies, cloud platforms, APIs, and modern software development practices.
- Proven experience delivering AI/ML, enterprise software, or digital products from concept through enterprise adoption.
- Solid understanding of large language models (LLMs), AI agents, retrieval-augmented generation (RAG), prompt engineering, AI evaluation, and machine learning productization.
- Experience working with enterprise AI platforms and cloud technologies such as AWS, Azure, Databricks, OpenAI, MLflow, or similar environments.
- Excellent communication, analytical, stakeholder management, and leadership skills with the ability to influence cross-functional teams and executive stakeholders.
- Experience in biotechnology, pharmaceutical research, healthcare, or scientific environments is considered an asset.
Responsibilities
- Define and execute the product vision, strategy, roadmap, and prioritization for a portfolio of AI-powered products and intelligent applications.
- Lead cross-functional teams through product discovery, development, launch, and continuous improvement while balancing customer needs, technical feasibility, and business objectives.
- Partner with scientists, researchers, business stakeholders, and end users to identify opportunities, validate solutions, and refine products through customer discovery and rapid prototyping.
- Translate business requirements into actionable product specifications by collaborating with engineering, AI engineering, data science, UX, and external partners.
- Drive the successful delivery of scalable, secure, and reliable AI solutions using iterative development, experimentation, and user feedback.
- Establish and monitor key product performance metrics, including adoption, customer satisfaction, model quality, reliability, and business impact to guide continuous optimization.
- Promote reusable product frameworks and best practices that accelerate future AI product development across the organization.
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