Назад
2 дня назад

Product Manager, AI Foundations

260 800 - 365 100$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Product Manager, AI Foundations (AI/ML Platform): Building shared machine learning and AI foundations for model development, deployment, content understanding, and consumer product experiences with an accent on platform strategy, embeddings, classification, and multimodal representations. Focus on aligning product and engineering leaders, improving the ML lifecycle, and balancing model quality, reliability, latency, cost, and adoption.

Location: Remote - United States; other location: San Francisco, CA, United States

Base salary: $260,800–$365,100 USD annually, plus potential equity and commission depending on the position offered.

Company

Reddit is a community platform with more than 100,000 active communities and approximately 130 million daily active unique visitors.

What you will do

  • Define a multiyear strategy and prioritized roadmap for shared ML platform capabilities, content understanding, and user understanding.
  • Translate needs from recommendations, search, discovery, and emerging AI experiences into product requirements and investment priorities.
  • Guide investments in classification, taxonomies, embeddings, multimodal understanding, and representations of user interests and intent.
  • Partner with engineering on data and feature access, training, inference, evaluation, deployment, and monitoring capabilities.
  • Drive adoption through clear interfaces, onboarding paths, feedback mechanisms, and measurable platform outcomes.
  • Align senior partners on sequencing and tradeoffs involving model quality, flexibility, reliability, latency, cost, development velocity, and consumer impact.

Requirements

  • Track record of leading complex ML or AI products, including shared platforms, recommendation systems, search, or related technical domains.
  • Strong technical fluency across the ML lifecycle and ability to work deeply with engineering and applied science partners on architecture and investment decisions.
  • Experience with content understanding, classification, embeddings, or user representations, including their impact on consumer product quality.
  • Product judgment connecting foundational capabilities to user needs, adoption, and measurable business impact.
  • Ability to establish direction across multiple teams, resolve competing priorities, and influence senior leaders without direct authority.
  • Ability to define strategy in ambiguous areas while maintaining priorities, execution plans, and accountability for outcomes.
  • Sound judgment regarding evaluation, data quality, privacy, and responsible use of content and user signals.

Culture & Benefits

  • Comprehensive healthcare benefits and income replacement programs.
  • 401(k) with employer match and global benefits supporting workspace, professional development, and caregiving.
  • Family planning support, gender-affirming care, and mental health and coaching benefits.
  • Flexible vacation, paid volunteer time off, and generous paid parental leave.
  • Interviews may be recorded, transcribed, and summarized by AI for select roles and locations; candidates may opt out before scheduled interviews.

Hiring process

  • Interview recordings, transcripts, and summaries may be used to evaluate the application where applicable, with an opt-out option before the interview.

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