AIML Product Manager
AIML Product Manager
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Job Description
Job Summary:
The AI/ML Product Manager will be responsible for guiding the development and deployment of artificial intelligence and machine learningbased products. This role combines technical expertise in AI/ML with strong product management skills to deliver solutions that meet business needs and customer expectations. The ideal candidate will have a deep understanding of AI/ML technologies and experience managing product lifecycles from ideation through launch working closely with crossfunctional teams including data scientists engineers and business stakeholders.
Key Responsibilities:
Product Strategy: Define the product vision and strategy for AI/ML
powered products aligning them with overall business objectives and market opportunities. Oversees the development and implementation of AIdriven products ensuring they meet market needs.- Roadmap Development: Develop and maintain a product roadmap prioritizing features and functionalities that deliver value to customers while leveraging AI/ML technologies.
- Crossfunctional Collaboration: Work closely with engineering data science and design teams to ensure the successful development and deployment of AI/ML models and features.
- Customer Research: Conduct market research gather customer feedback and analyze user data to identify product opportunities pain points and improvements.
- Requirements Gathering: Define product requirements user stories and acceptance criteria ensuring clarity for development teams and alignment with business goals.
- Model Lifecycle Management: Collaborate with machine learning engineers and data scientists to oversee the full lifecycle of AI/ML models from experimentation and development to deployment and monitoring.
- Performance Monitoring: Establish and track key performance indicators (KPIs) and metrics to measure the effectiveness of AI/ML models and product features iterating as necessary.
- Product Launches: Plan and execute product launches ensuring that crossfunctional teams are prepared and customers are informed of new features and capabilities.
- Stakeholder Communication: Communicate progress insights and challenges to key stakeholders including executive leadership technical teams and clients.
- Ethics and Compliance: Ensure that AI/ML products comply with relevant ethical guidelines data privacy regulations and industry standards.
- Innovation & Trends: Stay current with the latest AI/ML advancements emerging technologies and industry trends bringing fresh ideas to the product development process.
Qualifications:
Education: Bachelors or Masters degree in Computer Science Data
Science Engineering Business Administration or a related field. A technical degree is highly preferred.- Experience:
- 3 years of experience in product management with a focus on AI/ML or datadriven products.
- Proven track record of managing AI/ML product lifecycles from concept to launch.
- Strong technical understanding of AI/ML technologies and how they can be applied to solve realworld problems.
- Handson experience working with data science and engineering teams.
Experience with agile development methodologies.
- Skills:
- Strong project management skills with the ability to prioritize tasks and manage time effectively.
- Excellent communication skills capable of conveying complex technical concepts to both technical and nontechnical audiences.
- Proficiency with product management tools such as Jira Trello or Asana.
- Familiarity with AI/ML tools and platforms like TensorFlow PyTorch or AWS SageMaker.
- Strong analytical and problemsolving skills.
- Ability to balance shortterm product deliverables with longterm strategic goals.
- Requires a blend of technical knowledge and business acumen.
Preferred Qualifications:
- Experience in industries that are heavy users of AI/ML such as healthcare finance ecommerce or autonomous systems.
- Experience with data governance AI ethics and machine learning model interpretability.
- Knowledge of cloud platforms (AWS GCP Azure) and MLOps practices.
MBA or advanced degree in a relevant field.
Employment Type
Full Time
