AI Product Manager

About the Role
Success Academy is seeking an AI Product Manager who will operate in both capacities – to augment existing AI roadmaps, as well as innovate new projects – crafting AI experiences that enable our educators to deliver even better student outcomes, improve school operations, as well as drive efficiencies throughout the enterprise. AI is a team sport, and in your role, you will be key in leading and influencing teams on the translation of business problems and questions into GenAI solutions.

Key Responsibilities
● Own the end-to-end product lifecycle: From discovery and prioritization to delivery and optimization, you will be responsible for driving various products and features on the AI roadmap.
● Data-driven prioritization: Apply a focused ROI-first approach to inform roadmap decisions.
● Translate business goals: You will translate the needs of various stakeholders into clear AI/ML feature requirements in partnership with AI engineers and data scientists.
● Design intuitive and usable AI experiences: You will collaborate with UX/UI and engineering to ensure seamless integration of LLMs, RAG, and ML outputs into an effective customer experience.
● Evaluate and experiment: You will define evaluation metrics and work with data scientists to experiment, validate, and iterate on models and AI features.
● Continuously improve: Implement feedback loops to ensure models and AI features evolve based on real-world usage and user feedback.
● Be the glue: By serving as the connective tissue between business partners and technical teams, you will balance technical feasibility and business impact to deliver the right solutions at the right time.
● Foster the strategy: Contribute to shaping the overall AI strategy and ensuring product decisions align with long-term organizational AI goals and support the enterprise priorities.

Minimum Qualifications
● 3+ years of product management experience (AI/ML or data-driven platforms preferred but not necessary) with proven experience launching enterprise tools or customer-facing products.

● Experience designing custom GPT or other basic AI tools.
● Experience working in Agile development environments, using tools like JIRA or Confluence to manage backlogs and sprints.
● Knowledge of requirements gathering, project management, and process redesign.
● Proven experience in translating ambiguous business problems into concrete technical solutions.
● Demonstrated experience in leading the development of AI projects from start to finish.
● Strong communication and storytelling skills (executive-level preferred but not necessary)
● Strong time management skills with the ability to collaborate across multiple teams.
● Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, Economics, Applied Mathematics, Machine Learning, or a related field.

Preferred Qualifications
● Knowledge of GenAI and RAG strategies, MCP, and prompt engineering best practices.
● Strong understanding of LLM ecosystems (OpenAI, Anthropic, Gemini, etc.), RAG pipelines, vector databases (e.g., Pinecone, FAISS, Milvus, PostgreSQL).
● Exposure to developer frameworks for agentic AI development.