AI Systems Product Manager

NYC Alliance Company LLC•New York, NY

About The Position

NYC Alliance is building a next-generation AI-enabled operating system to fundamentally improve how products are conceived, designed, approved, and delivered—without compromising margin discipline, operational integrity, or accountability. We are looking for an AI Systems Product Manager to design and own this system from a product perspective. This role is about designing AI-powered workflows, decision systems, and guardrails that allow humans to move faster while staying within business and operational boundaries. You will work at the intersection of: Business architecture AI agents and skills Product workflows Governance and rules This role sits within the CEO Office and operates across all business units.

Requirements

8+ years as a Product Manager, preferably in:
Internal platform
Enterprise SaaS
Workflow or decision systems
AI, data, or platform products
Experience designing products with:
Complex rules
Multi-step workflows
Real-world constraints (finance, compliance, operations)
Product Mindset
Thinks in systems, not features
Comfortable saying “no” when speed compromises integrity
Designs for scale, governance, and accountability
Values clarity over cleverness
AI & Technical Fluency
Familiar with LLM-based systems and AI agents (without needing to build models)
Understands concepts such as:
Agent orchestration
Retrieval-augmented generation (RAG)
Guardrails and policy enforcement
Able to work effectively with engineers and data teams
Business Acumen
Strong intuition for margin, trade-offs, and operational risk
Able to translate abstract business goals into concrete product behaviors
Comfortable operating in ambiguous, evolving environments

Nice To Haves

Experience with enterprise AI platforms or internal tools
Background in supply chain, finance, or operations-adjacent domains
Experience working with executive leadership or CEO Office–level initiatives

Responsibilities

System-Level Product Design
Design end-to-end AI-enabled workflows (e.g., Sales → Product → Cost → Sample → Order)
Translate business rules (EPS, margin targets, feasibility constraints) into product logic and system guardrails
Define how AI agents, human decision-makers (e.g., Product Business Owners), and rules interact
AI Agent & Workflow Ownership
Design and iterate AI agent behaviors, responsibilities, and boundaries
Define agent orchestration: what AI does, what humans decide, what rules enforce
Ensure AI systems are explainable, auditable, and usable by non-technical users
Product Experience for Internal Users
Own the product experience for internal users (Sales, PBOs, Supply Chain, Finance)
Design decision interfaces that surface trade-offs, risks, and constraints clearly
Optimize for clarity, accountability, and adoption—not novelty
Cross-Functional Leadership
Work closely with Business, IT, Data, and Governance teams
Partner with AI engineers to translate product intent into working systems
Act as the single point of product truth across multiple AI initiatives
Outcome-Driven Delivery
Define success metrics tied to business outcomes (cycle time, margin accuracy, decision quality)
Drive MVPs and pilots into real operational usage
Continuously refine systems based on real-world feedback and performance