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首席产品经理 - IaaS AI 基础设施

雇主

ByteDance

地点

California · San Jose · 美国

待遇

$面议

工作模式

线下

截止日期

1月8日

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岗位摘要

Principal Product Manager to build next-generation compute services for large-scale AI infrastructur

岗位职责

About the team
We are the product management team for the Compute service of the volcano engine, which is the cloud service provided by ByteDance.
It includes all the different types of compute instances and the supporting services built around it, such as Autoscaling, Server Migration and Systems Manager.
Both the business and the team are growing rapidly as we are building the next generation AI infrastructure and innovate on behalf of our customers.
We are a team with diverse backgrounds and we strive to provide everyone in the team with great opportunities to learn and grow.
Responsibilities:We are currently hiring product managers to build our next generation compute services to power large-scale AI infrastructure.
The candidate will need to:
- Work closely with internal and external customers as well as sales and solution architects to collect customer needs and feedback.
- Work with the R&D team to clarify and prioritize product needs and design product features accordingly.
- Define product go to market strategy, including positioning, pricing, promotion as well as lifecycle management.
- Define product goals and core business metrics, and continuously track these metrics to improve our products.
- Manage and maintain product roadmaps and be able to articulate the value of each feature to customers.
- Perform competitive analysis, track industry technology trends to feed into the product planning.

申请条件

The ideal candidate will have:
Proven experience in product management, preferably in cloud computing or AI infrastructure.
Strong understanding of compute services, including instances, autoscaling, server migration, and systems manager.

雇主简介

ByteDance is a global technology company known for its content platforms, and its infrastructure team builds and manages hyper-scale data centers worldwide, focusing on power and energy management for data center operations.

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数据来源:ByteDance

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