Product Manager - Trust & Safety Platform (AI Solution) - Seattle
Seattle, Washington, United States
About The Team
Our team members are responsible for the Trust & Safety Platform Product - Risk and Response. We work closely with cross functional teams of engineers, data scientists, operations, and various relevant internal teams to build safety platforms and toolings, to empower internal operations and enforcements with LLM technologies during real world harm events or trends, to safeguard the platform across different product features.
Responsibilities
- Identify high-impact Trust & Safety problems and build product/automation solutions with LLM technologies that enhance risk handling efficiency and accuracy;
- Partner closely with cross-functional stakeholders such as operations, engineering, algorithm teams to understand pain points and translate them into product solutions;
- Define business and tooling metrics for risk handling, evaluate performance through both qualitative and quantitative methods, and drive strategy and product iterations to continuously improve handling effectiveness;
- Help define product roadmaps, write clear PRDs, manage timelines, and drive iterative launches in fast-paced environments;
- Deeply understand the workflows and challenges of risk handling and design solutions that actually work in practice.
Our team members are responsible for the Trust & Safety Platform Product - Risk and Response. We work closely with cross functional teams of engineers, data scientists, operations, and various relevant internal teams to build safety platforms and toolings, to empower internal operations and enforcements with LLM technologies during real world harm events or trends, to safeguard the platform across different product features.
Responsibilities
- Identify high-impact Trust & Safety problems and build product/automation solutions with LLM technologies that enhance risk handling efficiency and accuracy;
- Partner closely with cross-functional stakeholders such as operations, engineering, algorithm teams to understand pain points and translate them into product solutions;
- Define business and tooling metrics for risk handling, evaluate performance through both qualitative and quantitative methods, and drive strategy and product iterations to continuously improve handling effectiveness;
- Help define product roadmaps, write clear PRDs, manage timelines, and drive iterative launches in fast-paced environments;
- Deeply understand the workflows and challenges of risk handling and design solutions that actually work in practice.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Categories:
Deep Learning Jobs
Leadership Jobs
Product Jobs
Tags: Engineering LLMs
Perks/benefits: Team events
Region:
North America
Country:
United States
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