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5 часов назад

Principal Technical Product Manager (AI/ML)

181 100 - 281 800$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
c1
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

Principal Technical Product Manager (AI/ML): Defining and driving product strategy for training software on AWS Trainium with an accent on distributed training libraries, post-training workflows, and performance optimization. Focus on enabling researchers and operators to train frontier models at scale, from single-node experimentation to distributed training across thousands of nodes.

Location: Must be based in Seattle, WA or Cupertino, CA

Salary: $181,100–$281,800 USD annually

Company

hirify.global Web Services (AWS) is a leading cloud platform provider, with Annapurna Labs at the forefront of silicon and software innovation for high-performance machine learning.

What you will do

  • Define and execute the product strategy and roadmap for training software on Trainium.
  • Drive technical alignment across training libraries, distributed infrastructure, and compiler/runtime teams.
  • Lead strategy for post-training workflows including RLHF, DPO, and fine-tuning at scale.
  • Engage with customers to translate distributed training challenges into product requirements.
  • Coordinate end-to-end launches for training capabilities, including documentation and field enablement.
  • Define success metrics for training adoption and performance optimization.

Requirements

  • 7+ years of experience as a Technical Product Manager.
  • Bachelor's degree in computer science, engineering, or a related quantitative field.
  • Solid understanding of large-scale model training and distributed training architectures.
  • Familiarity with major AI/ML training frameworks like PyTorch or JAX.
  • Proven track record of driving product strategy and cross-organizational alignment.
  • Excellent written and verbal communication skills, including executive-level interaction.

Nice to have

  • Experience with distributed training of large-scale models using model parallelism techniques.
  • Experience with RL research-to-production workflows.
  • Background in open-source developer products and ecosystem integration.
  • Experience operating in early-stage, ambiguous environments.

Culture & Benefits

  • Comprehensive health insurance including medical, dental, and vision.
  • 401(k) matching and competitive compensation packages including RSUs.
  • Strong focus on work-life harmony and flexible working culture.
  • Access to mentorship, career growth resources, and employee-led affinity groups.
  • Supportive environment that celebrates knowledge sharing and continuous learning.

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