Product Manager

Requirements

Product Manager - Generative AI

3+ years of experience in generative AI

strategic thinking, technical understanding, user empathy, and execution excellence

Key Responsibilities

• Define the vision, strategy, and roadmap for generative AI products, aligning with business goals and market opportunities.
• Translate customer needs and business objectives into clear product requirements, epics, and user stories.
• Work closely with data scientists, AI researchers, and engineering teams to design and deliver scalable, reliable, and ethical AI-powered solutions.
• Drive end-to-end product lifecycle management, from ideation, prototyping, and development to launch, adoption, and continuous improvement.
• Partner with UX/UI designers to ensure seamless, intuitive, and impactful user experiences for AI-driven features.
• Collaborate with sales, marketing, and customer success teams to develop go-to-market strategies, positioning, and messaging.
• Stay at the forefront of generative AI trends, LLM advancements, multimodal systems, and industry applications to guide product innovation.
• Establish KPIs and success metrics to measure product adoption, user satisfaction, and ROI, while iterating based on feedback and data insights.
• Prioritize product initiatives effectively, balancing short-term deliverables and long-term innovation goals.
• Ensure that all generative AI solutions adhere to responsible AI, compliance, and ethical standards.
• Act as the voice of the customer, advocating for user needs in product discussions and strategic decisions.
  

Skills & Experience

• 3+ years of experience in building and managing generative AI or AI/ML-based products.
• Proven track record as a Product Manager, with experience defining roadmaps, writing PRDs, and leading cross-functional teams.
• Strong understanding of Generative AI technologies such as LLMs (e.g., OpenAI, Anthropic, Hugging Face), multimodal AI, diffusion models, or conversational AI systems.
• Hands-on familiarity with AI platforms, APIs, and deployment frameworks (OpenAI, LangChain, Hugging Face, Vertex AI, or similar).
• Ability to translate technical AI concepts into business and customer value propositions.
• Experience in Agile/Scrum product management practices, backlog grooming, and sprint planning.
• Excellent communication, stakeholder management, and presentation skills.
• Strong analytical and problem-solving skills with a data-driven approach to decision-making.
• Understanding of AI ethics, bias mitigation, and compliance frameworks is preferred.
• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Business Administration, or a related field.