Product Management Jobs 2026 (Now Hiring) – Smart Auto Apply
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AI/Machine Learning Product Manager
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Overview
Job Description
- Define and communicate the product vision and strategy for AI/ML products in alignment with the company's goals and market needs.
- Collaborate with engineering, data science, design, and business teams to develop and launch AI/ML products.
- Conduct market research and competitive analysis to identify opportunities and validate product ideas.
- Prioritize product features, enhancements, and backlog based on customer needs, business goals, and technical feasibility.
- Develop detailed product requirements and specifications, and ensure clear communication to the development teams.
- Oversee the product lifecycle from ideation to launch, ensuring timely delivery and high-quality outcomes.
- Monitor product performance, gather user feedback, and iterate on product improvements.
- Stay updated with the latest trends and advancements in AI and machine learning, and integrate relevant innovations into the product roadmap.
- Advocate for the customer by deeply understanding their needs and pain points, and translating these into actionable product insights.
- Work closely with marketing and sales teams to develop go-to-market strategies and support product adoption.
- Mentor and guide junior product managers, fostering a culture of excellence and continuous improvement.
- Bachelor’s or Master’s degree in Computer Science, Engineering, Business, or a related field. MBA or advanced technical degree is a plus.
- Proven experience as a Product Manager, with a focus on AI and machine learning products.
- Strong understanding of AI/ML technologies, frameworks, and applications.
- Demonstrated ability to manage complex projects and deliver successful products.
- Excellent analytical, problem-solving, and decision-making skills.
- Outstanding communication and presentation skills, with the ability to convey complex concepts to both technical and non-technical audiences.
- Experience working in an Agile/Scrum development environment.
- Strong business acumen and the ability to align product strategies with business objectives.
- Proven track record of working effectively in cross-functional teams.
- Passion for technology and a deep understanding of the AI/ML landscape.
- Experience with cloud platforms such as AWS, Google Cloud, or Azure.
- Familiarity with data science and machine learning tools and languages, such as Python, R, TensorFlow, or PyTorch.
- Experience with data-driven product development and A/B testing.
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