Product Manager

iSoftStone•Plano, TX

23h•$120,000 - $130,000•Hybrid

About The Position

This Product Manager role blends product ownership, platform operations, and internal support responsibilities. You will serve as the primary U.S. interface for a globally distributed AI data platform, bridging Dallas-based leadership, offshore engineering teams, and internal stakeholders. The role requires a balance of technical fluency, operational execution, and strong communication to ensure platform reliability, compliance, and continuous improvement.

Requirements

Bachelor’s degree (required)
2+ years of experience with product management in the AI space.
Strong written and verbal communication skills.
Proven ability to work cross-functionally, especially with offshore and distributed teams.
Technical aptitude, including basic coding/scripting and platform understanding.
Ability to present technical concepts clearly to clients and internal stakeholders.
Comfortable working across time zones with global teams.
Strong understanding of AI data collection and annotation workflows, with the ability to manage and support the full project lifecycle from initial kickoff through execution and final delivery.
Willingness to provide the flexibility required for global coordination for: Early morning calls with China-based teams.
Willingness to provide the flexibility required for global coordination for: Evening or late-night meetings with offshore engineering teams.
Candidates must have permanent authorization to work in the United States now and/or in the future.
Applicants must be authorized to work for any employer in the U.S.

Nice To Haves

Mandarin language proficiency (strongly preferred due to offshore team collaboration).
Experience working with offshore teams, particularly in China.
Background in product management, platform management, or technical operations.
Familiarity with AI/ML data workflows, including annotation and QA processes.

Responsibilities

Act as the primary U.S. interface for the platform, coordinating with distributed development teams.
Lead requirement clarification, sprint planning, testing cycles, and release management.
Ensure alignment between business priorities and engineering execution.
Understand business workflows related to AI data collection, annotation, and QA.
Translate operational needs into clear, actionable technical requirements for engineering teams.
Serve as the bridge between Dallas leadership and offshore engineering teams.
Facilitate communication across time zones, ensuring clarity on priorities, deliverables, and timelines.
Manage and maintain the internal platform supporting data annotation workflows.
Oversee platform performance, usability, and enhancements.
Communicate platform capabilities, updates, and changes to stakeholders and clients.
Enforce platform governance, including repository oversight, access controls, and permission management.
Manage data flow processes and ensure strict compliance with U.S. data security standards.
Safeguard intellectual property and sensitive data assets.
Develop and maintain lightweight automation scripts (Python/SQL) for data processing and workflow optimization.
Provide light scripting support (Java preferred) for platform maintenance and improvements.
Identify and mitigate risks related to copyright, data security, and cross-border dependencies.
Establish escalation paths and safeguards for compliance and operational risks.
Act as the primary point of contact for internal users for platform-related issues and requests.
Triage and resolve support tickets, escalating to engineering when necessary.
Support onboarding, access provisioning, and user training.
Create and maintain comprehensive documentation, including SOPs, configuration records, and user guides.
Build and manage an internal knowledge base to ensure continuity and scalability.
Translate technical concepts into clear written materials for diverse audiences.