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AI Product Manager job description
An AI Product Manager leads the development and strategy of artificial intelligence-powered products, translating complex AI capabilities into valuable user experiences that drive business growth and competitive advantage.
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What is a AI Product Manager?
An AI Product Manager is a specialized role that combines expertise in artificial intelligence technologies with traditional product management principles. This professional serves as the bridge between technical AI teams and business stakeholders, ensuring that AI solutions are not only technically sound but also market-relevant and user-centric. They possess a unique blend of technical knowledge in machine learning, data science, and AI frameworks, along with strong business acumen and user experience understanding. The AI Product Manager is responsible for defining product vision, prioritizing features based on AI capabilities, and ensuring ethical implementation of AI technologies while aligning with overall business objectives.
What does a AI Product Manager do?
An AI Product Manager oversees the entire lifecycle of AI-powered products, from conception to launch and iteration. They conduct market research to identify opportunities where AI can solve real user problems and create value. They define product requirements and work closely with data scientists and engineers to develop machine learning models and AI features. Additionally, they establish metrics to measure AI product performance, manage stakeholder expectations, and ensure compliance with ethical AI guidelines and data privacy regulations. Throughout the development process, they prioritize features based on technical feasibility, user impact, and business value while continuously gathering user feedback to improve AI product offerings.
Job Overview
We are seeking an innovative AI Product Manager to lead the development of cutting-edge artificial intelligence products that solve real-world problems for our US-based customers. This role requires a strategic thinker who can bridge technical AI capabilities with market needs, driving product vision from concept to launch while ensuring alignment with business objectives and user requirements in the competitive American tech landscape.
AI Product Manager responsibilities include:
1. Define and execute product strategy for AI-powered solutions targeting US market needs
2. Conduct market research and competitive analysis specific to North American AI/ML landscape
3. Translate complex AI capabilities into user-friendly product features and value propositions
4. Collaborate with data scientists and engineers to prioritize AI model development and deployment
5. Establish product metrics and KPIs to measure AI product performance and business impact
6. Manage product roadmap, backlog grooming, and sprint planning for AI development teams
7. Ensure compliance with US regulations including data privacy (CCPA) and AI ethics guidelines
8. Lead cross-functional teams through entire product lifecycle from ideation to launch and iteration
1. Bachelor's degree in Computer Science, Data Science, or related technical field
2. 5+ years of product management experience with at least 2 years focused on AI/ML products
3. Proven track record of shipping successful AI products in US market
4. Deep understanding of machine learning concepts, NLP, computer vision, or predictive analytics
5. Experience with AI development frameworks (TensorFlow, PyTorch) and cloud AI services (AWS SageMaker, Google AI Platform)
6. Strong data analysis skills using SQL, Python, or R for product decision-making
7. Excellent stakeholder management and communication skills for technical and non-technical audiences
8. US work authorization and ability to work in fast-paced tech environment
Preferred Qualifications
1. Master's degree in AI, Machine Learning, or Business Administration
2. Experience with generative AI technologies and large language models (GPT, Llama)
3. Background in SaaS products or B2B AI solutions for American enterprises
4. Knowledge of MLOps practices and AI model deployment pipelines
5. Previous work in industries undergoing AI transformation (healthcare, finance, retail)
6. Certification in product management (Pragmatic, AIPMM) or AI/ML specialties
7. Experience with A/B testing and experimentation frameworks for AI features
8. Network within US AI ecosystem including startups, research institutions, and tech communities
Bonus Skills
1. PhD in Artificial Intelligence, Machine Learning or related quantitative field
2. Published research papers or patents in AI/ML领域
3. Experience with ethical AI frameworks and responsible AI implementation
4. Background in UX design for AI-powered interfaces and conversational AI
5. Knowledge of industry-specific AI regulations (HIPAA for healthcare, FINRA for finance)
6. Fluency in multiple programming languages used in AI development
7. Experience scaling AI products to millions of users in competitive US markets
8. Active participation in AI conferences (NeurIPS, ICML, AI Summit) and thought leadership
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