AI Product Manager

About the Role

As an AI Product Manager at Success Academy, you will sit at the intersection of business strategy, school operations, and emerging technology to drive AI-powered innovation across a growing network of 57+ schools. Sitting alongside engineers, data scientists, UX designers, and organizational leadership, you will own the end-to-end lifecycle of generative AI tools that empower educators and streamline enterprise workflows. This role is central to Success Academy’s mission to scale educational excellence, ensuring that cutting-edge AI features translate directly into measurable efficiency gains and improved student outcomes.

Key Responsibilities

• Own the end-to-end AI product lifecycle, guiding features from initial discovery and ROI-focused prioritization through to delivery and continuous optimization.
• Translate complex stakeholder needs and high-level business goals into precise AI/ML feature requirements for engineering and data science teams.
• Design intuitive and seamless AI experiences by collaborating with UX/UI and technical teams to integrate LLMs, RAG pipelines, and ML outputs into daily workflows.
• Establish evaluation metrics and design experimentation frameworks alongside data scientists to validate model performance and feature effectiveness.
• Drive continuous product refinement by building user feedback loops that evolve models and AI capabilities based on real-world adoption.
• Act as the connective tissue across the organization, balancing technical feasibility with business impact to deliver high-value AI solutions on schedule.
• Contribute to shaping the broader organizational AI strategy, aligning product roadmaps with long-term enterprise goals.

Qualifications

• 3+ years of product management experience (AI/ML or data-driven platforms preferred) with a track record of launching enterprise or customer-facing tools.
• Hands-on experience building custom GPTs or basic AI applications, with familiarity in LLM ecosystems (OpenAI, Anthropic, Gemini) and GenAI concepts (RAG, prompt engineering, vector databases).
• Demonstrated expertise in Agile environments using tools like Jira and Confluence to manage backlogs, gather requirements, and run sprints.
• Proven capability to translate ambiguous business challenges into concrete technical solutions and manage AI projects from conception to launch.
• Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, Economics, Applied Mathematics, Machine Learning, or a related field (or equivalent practical experience).

Competencies

• Strategic Prioritization: Consistently applies an ROI-first, data-driven approach to balance business impact, technical feasibility, and roadmap decisions.
• Cross-Functional Leadership: Serves as the central bridge between business partners, educators, and technical execution teams to rally stakeholders around common goals.
• Growth Mindset & Intellectual Curiosity: Demonstrates a deep drive to break down complex problems, continuously iterate based on user feedback, and stay at the forefront of AI innovation.
• Ownership & Execution: Holds a high standard of excellence and takes full accountability for managing products hands-on in a fast-paced, dynamic environment.

Compensation, Benefits & Perks

At Success Academy, we invest boldly in our Network team with a comprehensive package designed to support your health, financial future, and overall well-being:

• Day-One Health & Wellness: Medical, dental, and vision coverage starting your first day (SA covers 82% of our core medical plan), plus a free One Medical membership and confidential mental health support via EAP/Talkspace.
• Financial Security: 403(b) retirement plan with a 3% employer match, up to $2,400/year in employer HSA contributions, employer-paid life/disability insurance, and Public Service Loan Forgiveness (PSLF) eligibility.
• Time to Recharge: Generous paid time off, paid holidays, and paid parental leave.
• Perks & Stipends: A 50/month cell phone stipend (600/year), pre-tax commuter benefits, backup family care, and performance-based earning incentives.

This is a hybrid position based in our NYC Financial District office, requiring on-site work Tuesday through Thursday and remote work on Monday and Friday.