AI Platform Product Manager - High-Impact Ownership

Aptiora; New York (NY); On-site; USD 150,000 - 230,000; Full time

Job summary

Aptiora is seeking a product leader to understand the needs of teams using our platforms and the customers who depend on them, translating insights into high-impact problems and practical solutions. You will manage an engineering team, drive high user impact and rapid iteration, and operate with strong ownership in a fast-moving environment.

This role bridges product ambition with research and infrastructure realities, shaping strategy and execution for core AI-enabled platforms and ensuring

Qualifications

• Experience owning product strategy and execution on technical platforms or shared systems used by multiple teams.
• Ability to reason about APIs, data flows, system dependencies, and failure modes, and to work with engineers on tradeoffs.
• Strong written and verbal communication with ability to align teams around priorities and make difficult decisions when needs conflict.
• High ownership and sound judgment in a fast-moving environment, balancing long-term strategy and hands-on execution.

Responsibilities

• Understand needs of teams using our platforms and customers relying on them, and translate data and feedback into high-impact problems and solutions.
• Manage engineering team, drive high user impact and rapid iteration.
• Bridge product ambition with research and infrastructure realities to deliver shipped products.

Skills

Product strategy

Technical fluency

Analytical skills

Communication

Ownership & judgment

Job description

Aptiora is seeking a product leader to understand the needs of teams using our platforms and the customers who depend on them, translating insights into high-impact problems and practical solutions. You will manage an engineering team, drive high user impact and rapid iteration, and operate with strong ownership in a fast-moving environment.

This role bridges product ambition with research and infrastructure realities, shaping strategy and execution for core AI-enabled platforms and ensuring