AI Product Manager
Location: New York City (Wall Street) – hybrid (on‑site Tuesday through Thursday, remote Monday and Friday). Position Type: AI Product Manager. Start Date: on or about October 1, 2026.
Overview
Automated Industries is seeking an AI Product Manager on behalf of a client to augment existing AI roadmaps and innovate new projects, crafting AI experiences that improve student outcomes, school operations, and enterprise efficiencies. The role leads translation of business problems into GenAI solutions.
Key Responsibilities
- Own the end‑to‑end product lifecycle—from discovery and prioritization to delivery and optimization—driving products and features on the AI roadmap.
- Apply a data‑driven, ROI‑first approach to prioritize roadmap decisions.
- Translate stakeholder needs into clear AI/ML feature requirements in partnership with AI engineers and data scientists.
- Design intuitive AI experiences by collaborating with UX/UI and engineering to integrate LLMs, RAG, and ML outputs.
- Define evaluation metrics and work with data scientists to experiment, validate, and iterate on models and AI features.
- Implement feedback loops to continuously improve models and features based on real‑world usage.
- Serve as the connective tissue between business partners and technical teams, balancing feasibility and impact.
- Contribute to shaping overall AI strategy and ensure product decisions align with long‑term organizational AI goals.
Minimum Qualifications
- 3+ years of product management experience (AI/ML or data‑driven platforms preferred but not required) 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.
- Knowledge of requirements gathering, project management, and process redesign.
- Proven ability to translate ambiguous business problems into concrete technical solutions.
- Demonstrated experience leading AI projects from start to finish.
- Strong communication and storytelling skills (executive‑level preferred but not required).
- Strong time‑management skills with 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, and vector databases (e.g., Pinecone, FAISS, Milvus, PostgreSQL).
- Exposure to developer frameworks for agentic AI development.
Work Environment
- Hybrid schedule: on‑site Tuesday through Thursday, remote Monday and Friday.
- Collaborative, fast‑paced technical environment with direct interaction with engineering leadership, vendors, and business stakeholders.
- Role combines team management, cloud operations oversight, vendor management, and cost governance.
Pay
Base compensation: $150,000–$160,000 annually, exact amount may vary based on skills and experience.
Schedule
Hybrid: three days on‑site (Tuesday‑Thursday) and two days remote (Monday and Friday).
Company Description
Automated Industries is an end‑to‑end AI advisory and implementation firm that embeds engineering talent directly into client organizations to rebuild how work gets done.