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Strategic Project Lead, Remote- Full Time

职能支持限定地区(需当地身份)
公司Xperteez Technology
薪资$300,000 - $500,000/年
工作地点United States
地域资格限定地区(需当地身份)
时区要求日间重叠约 9 小时,基本正常作息
用工类型Full Time
发布时间9 天前
数据来源Himalayas
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注意地域限制:该职位明确限定在 United States 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

Job Title: Strategic Project Lead
Job Type: Full-Time
Location: Remote
Required Skills:

  • Leadership & Team Management
  • Data Operations
  • Human Data

The Role
As a Strategic Projects Lead (SPL), you will own end-to-end execution for projects with our top AI Lab customers. You will translate customer needs into clear project specifications, design and launch data pipelines, and align Operations and domain experts to deliver quickly and at a high quality.
What You'll Do:

  • Own projects end to end, from pipeline framing and scoping through execution and delivery.
  • Translate customer needs into clear, actionable project specifications.
  • Design and continuously improve pipelines for usability, clarity, quality, and scalability.
  • Align Operations and domain experts for rapid deployment.
  • Set delivery milestones and drive a tight execution cadence.
  • Own client communication, keeping it clear, direct, and consistent.
  • Manage domain experts and project leads to ensure quality and delivery.
  • Provide daily internal updates with progress, blockers, and explicit next steps.

What We're Looking For:

  • Exceptional communication and project management skills.
  • Strong ownership, urgency, and attention to detail.
  • Startup and entrepreneurial mindset with a bias toward execution.
  • Background in data operations, engineering, computer science, or technical project management.
  • 2+ years of experience leading complex projects or operational workflows.
  • Ability to turn ambiguity into clear plans and execute rapidly.
  • Comfortable working in a fast-paced, high-intensity environment.

Preferred Qualifications:

  • Experience working with AI/ML companies, AI Labs, or data annotation/evaluation projects.
  • Experience managing technical or data-intensive projects in a fast-paced startup environment.
  • Familiarity with data pipelines, AI training workflows, and human-in-the-loop operations.
  • Technical background in Computer Science, Engineering, or a related field.

Compensation & Benefits Notice:
All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies.
Originally posted on Himalayas

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