AI Product Manager, Content Platform Operations and Publishing
New
J
JobgetherAI & Content Platform
Remote work opportunity within the United States.Full-TimeSenior
Salary$310,000–$545,000 USD
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Job Details
- Experience
- 7+ years
- Required Skills
- Artificial IntelligenceData AnalysisMachine LearningProduct ManagementCross-functional Team Leadership
Requirements
- 7+ years of product management experience with a demonstrated record of launching impactful products or platforms.
- Intermediate to advanced understanding of machine learning techniques, AI technologies, and ML evaluation best practices.
- Proven experience leading end-to-end products incorporating machine learning or AI.
- Practical understanding of the ML lifecycle, including data collection, labeling, model development, evaluation, and production deployment.
- Strong analytical capabilities and experience using data, experimentation, and measurable outcomes to establish priorities and evaluate product impact.
- Demonstrated ability to build and execute strategic roadmaps in complex, cross-functional environments.
- Experience translating emerging AI or ML research and technologies into practical, scalable products.
- Strong ability to mobilize teams and stakeholders around a common vision while building productive relationships across functions and geographies.
- Excellent written, verbal, presentation, and executive communication skills.
Responsibilities
- Define strategic product roadmaps and take concepts from discovery and validation through development, launch, measurement, and iteration.
- Lead the incubation, design, and productionization of new AI and machine learning capabilities in partnership with applied researchers, data scientists, and engineers.
- Integrate state-of-the-art AI and ML models into content platform and publishing tools to enable more personalized, contextual, and efficient experiences.
- Identify opportunities to automate and optimize the creation of high-quality promotional assets across a rapidly growing global content catalog.
- Discover the needs of artists, creators, content executives, and internal partners, translating those needs into clear product strategies and measurable solutions.
- Develop AI-driven solutions for content distribution, asset management, localization, language experiences, and other complex content operations challenges.
- Establish product success metrics, business cases, and evaluation frameworks using data, experimentation, and rigorous hypothesis-driven analysis.
- Monitor AI and ML performance and continuously improve evaluation methodologies, models, workflows, and product experiences.
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