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From the employer's careers site First seen 13 Nov 2026

Product Manager, AI Foundations

Reddit Remote - United States Remote senior full-time

Salary

$260,800-$365,100 USD per year

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Description

Reddit is seeking a senior individual contributor to lead product strategy across ML Platform and ML Understanding as a Product Manager, AI Foundations. The successful candidate will shape the foundations that help teams build better products, from reliable, efficient model development and deployment to richer classifications and representations of content and users.

About the Role: The role combines technical depth, consumer product judgment, and organizational influence. The Product Manager will connect needs across applications, identify the investments with the greatest shared value, and align product and engineering leaders around a coherent strategy with measurable outcomes.

Responsibilities:

  • Set the strategy for shared AI foundations, defining a multiyear vision and prioritized roadmap spanning ML platform capabilities and content and user understanding.
  • Connect foundational investments to consumer outcomes, translating needs across recommendations, search, discovery, and emerging AI experiences into clear requirements and investment priorities.
  • Advance content and user understanding, guiding investments in classification, taxonomies, embeddings, multimodal understanding, and representations of user interests and intent.
  • Improve the ML development lifecycle, partnering with engineering on capabilities for data and feature access, training, inference, evaluation, deployment, and monitoring.
  • Make shared capabilities useful and widely adopted, establishing clear interfaces, onboarding paths, and feedback mechanisms that help application teams build on common foundations.
  • Lead investment and technical tradeoffs, aligning senior partners on sequencing, dependencies, and decisions involving model quality, flexibility, reliability, latency, and cost.
  • Define and demonstrate success, measuring platform adoption, development velocity, model and representation quality, operational efficiency, and downstream improvements in consumer experiences.

Requirements:

  • A track record of leading complex ML or AI products, with experience in shared platforms, recommendation systems, search, or related technical domains.
  • Strong technical fluency across the ML lifecycle and the ability to engage deeply with engineering and applied science partners on architecture and investment decisions.
  • Experience with content understanding, classification, embeddings, or user representations, and an understanding of how their quality affects consumer products.
  • Product judgment that connects foundational capabilities to concrete user needs, adoption, and measurable business impact.
  • Demonstrated ability to establish direction across multiple teams, resolve competing priorities, and influence senior leaders without direct authority.
  • Comfort defining strategy in ambiguous spaces while maintaining clear priorities, credible execution plans, and accountability for outcomes.
  • Sound judgment about evaluation, data quality, privacy, and the responsible use of content and user signals.

Benefits:

  • Comprehensive Healthcare Benefits and Income Replacement Programs
  • 401k with Employer Match
  • Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
  • Family Planning Support
  • Gender-Affirming Care
  • Mental Health & Coaching Benefits
  • Flexible Vacation & Paid Volunteer Time Off
  • Generous Paid Parental Leave

Pay Transparency: The base salary range for this position is: $260,800-$365,100 USD

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Skills

Required

  • ML
  • AI
  • product management
  • shared platforms
  • recommendation systems
  • search
  • content understanding
  • classification
  • embeddings
  • user representations

Ready to apply?

You apply with the employer directly. Their original posting is here: https://job-boards.greenhouse.io/reddit/jobs/8367400

Apply on Reddit