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技术招聘专员 - 全球电商 - 圣何塞

雇主

TikTok

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

Technical Sourcer role owning top-of-funnel sourcing for niche technical roles in TikTok's US e-comm

岗位职责

About the Team
The Global E-Commerce (GEC) US Talent Acquisition hires the engineering, product, and technical leadership talent that builds TikTok's US e-commerce business.
We are a small team with direct exposure to the business leaders we hire for.
Our sourcers do not sit behind recruiters processing a queue.
They own the top of the funnel, carry their own reqs, and talk to hiring managers directly.
This is an outbound-first environment.
The roles we fill — backend engineering, infrastructure, product management, solution architecture — do not fill themselves through inbound applications.
If you are looking for a seat where inbound flow does most of the work, this is not it.
What You Will Own:
- Top of funnel outcomes. Response rate, resume evaluation pass rate, and pipeline volume are yours. You will be measured on them and you will be expected to diagnose them without being asked.
- Sourcing strategy for niche technical roles. Backend, infra, PM, solution architect. Roles where the qualified population is small and every one of them already has a job.
- Direct partnership with hiring managers. You will sit in calibration, push back on unrealistic profiles, and bring market reality to the business.
- Your own methods. When an approach stops working, you change it. You are not waiting for a recruiter to tell you the outreach is not landing.
- Reusable assets. Market maps, search string libraries, trackers, SOPs. Work that outlasts the req.

申请条件

This is an outbound-first environment.
The roles we fill — backend engineering, infrastructure, product management, solution architecture — do not fill themselves through inbound applications.
If you are looking for a seat where inbound flow does most of the work, this is not it.

雇主简介

TikTok is a leading short-form video platform that develops core training and serving infrastructure for large-scale recommendation systems and AI infrastructure for foundation models and LLMs.

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数据来源:TikTok

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