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11 часов назад

Strategic Projects Lead (Technical) (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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TL;DR

Strategic Projects Lead (Technical) (AI) (Gen AI/LLM Data Delivery): Leading the end-to-end delivery of complex LLM and Gen AI data programs for high-value clients with an accent on operational discipline, data quality, and client relationship management. Focus on architecting data pipelines, managing technical tradeoffs with AI researchers, and scaling operational frameworks.

Location: Hybrid (San Francisco, USA)

Company

hirify.global is a platform specializing in high-quality data programs for the development and evaluation of LLMs and Generative AI.

What you will do

  • Own end-to-end delivery of Gen AI data engagements, from scoping and resource planning to final client sign-off.
  • Serve as the primary technical point of contact for high-value clients, managing relationships with AI researchers and executives.
  • Architect data pipelines, quality frameworks, and review infrastructure to enable execution at scale.
  • Manage timelines, staffing, and KPIs across multiple concurrent projects to ensure stability and quality.
  • Recruit, mentor, and performance-manage a team of operations and subject matter experts.
  • Collaborate with Go-to-Market teams to identify and propose scope expansion opportunities.

Requirements

  • Must be based in or able to work hybrid in San Francisco
  • 4+ years of experience managing complex technical projects in client-facing roles, preferably in a high-growth startup.
  • Proficiency in Python and SQL with a strong background in machine learning, statistics, or data science.
  • Experience communicating complex technical project statuses to C-level stakeholders (CTO, VP).
  • Bachelor's degree in a quantitative field (CS, Math, Statistics, ML, or Engineering).
  • Working knowledge of the Gen AI landscape, specifically LLM training and evaluation.

Nice to have

  • Experience managing large distributed contributor or expert workforces.
  • Background in management consulting, investment banking, or technical services.
  • MBA or equivalent advanced degree.

Culture & Benefits

  • High-impact role at the center of the AI industry, working with world-leading AI organizations.
  • Direct visibility to company leadership and significant ownership over critical projects.
  • Opportunity to build systems that define the next decade of AI data infrastructure.

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