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59 минут назад

Lead Technical Program Manager (Data)

259 200 - 312 400$
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Lead Technical Program Manager (Data): Building and leading the technical program management function for the data organization with an accent on data platforms, ingestion pipelines, and large-scale enrichment processes. Focus on driving flagship programs, coaching a high-impact team, and ensuring data quality and reliability for autonomous driving foundation models.

Location: Must be based in or able to work from Sunnyvale, CA (Hybrid)

Salary: $259,200–$312,400

Company

hirify.global is a leading developer of Embodied AI technology, creating mapless and hardware-agnostic AI products to accelerate the transition to automated driving.

What you will do

  • Build, coach, and grow a high-performing team of Technical Program Managers.
  • Partner with Data leadership to define and execute the roadmap for data platforms and pipelines.
  • Drive flagship programs including data ingestion, enrichment, curation, and labeling.
  • Establish scalable governance, planning cadences, and operational KPIs.
  • Align cross-functional efforts across data, ML, and engineering teams.
  • Represent the data organization in company-level reviews and strategic planning.

Requirements

  • 8+ years of experience delivering complex data programs as a Technical Program Manager.
  • Proven track record in people leadership and scaling program functions.
  • Deep technical understanding of distributed data platforms, pipelines, and large-scale infrastructure.
  • Experience with Machine Learning, GPUs, and training/inference of large-scale models.
  • Proficiency with tools such as Databricks, Flyte, Ray, Kubernetes, Azure, and Python.
  • Must be based in or able to work from Sunnyvale, CA.

Nice to have

  • Experience with large-scale distributed data platforms used by hundreds of engineers.
  • Background in autonomous vehicles, robotics, or similar ML-heavy domains.
  • Engineering or Computer Science degree.

Culture & Benefits

  • Competitive equity package included.
  • Inclusive and diverse work environment.
  • Opportunity to work on groundbreaking Embodied AI technology.
  • Fast-paced, collaborative culture focused on solving complex challenges.

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