Product Manager, AI Foundations
New
R
Reddit, Inc.AI/ML platforms
Remote - United StatesFull-TimeSenior
SalaryThe base salary range for this position is: $260,800 — $365,100 USD. This job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission.
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Job Details
- Required Skills
- Artificial IntelligenceMachine Learning
Requirements
- Demonstrated experience leading complex ML or AI products.
- Experience with shared platforms, recommendation systems, search, or related technical domains.
- Technical fluency across the ML lifecycle and ability to engage deeply with engineering and applied science partners on architecture and investment decisions.
- Experience with content understanding, classification, embeddings, or user representations.
- Ability to connect 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 spaces while maintaining priorities, execution plans, and accountability for outcomes.
- Sound judgment about evaluation, data quality, privacy, and responsible use of content and user signals.
Responsibilities
- Set a multiyear vision and prioritized roadmap spanning ML platform capabilities and content and user understanding.
- Translate needs across recommendations, search, discovery, and emerging AI experiences into 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.
- Establish interfaces, onboarding paths, and feedback mechanisms to help application teams use shared capabilities.
- Align senior partners on sequencing, dependencies, and tradeoffs involving model quality, flexibility, reliability, latency, and cost.
- Measure platform adoption, development velocity, model and representation quality, operational efficiency, and downstream consumer experience improvements.
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