# Staff Product Manager, Applied Science

**Company:** [Pinterest](https://hotfix.jobs/companies/pinterest)
**Location:** Remote
**Role:** Product Management
**Salary:** $165k – $339k/yr
**Experience:** 7+ years
**Skills:** Product Management, Machine Learning, Artificial Intelligence, Feature Stores, Embedding Platforms, Representation Learning, Recommender Systems, Retrieval Systems, Ranking Systems, Experiment Design, Model Architecture, Infrastructure, Product Roadmapping, Technical Debt, Executive Communication
**Posted:** 2026-08-19

> Leads product strategy and roadmap for Pinterest’s shared Applied Sciences platforms, spanning representation learning, signals, and recommender systems. The role requires 7+ years of product management experience, production AI/ML expertise, strong platform judgment, and technical credibility with science and engineering teams.

## Job Description

## Responsibilities
- Shape the product vision and roadmap for Pinterest’s Applied Sciences portfolio, including representation learning, signals, and recommender systems.
- Partner across Pinterest to drive adoption of shared capabilities and prevent siloed development.
- Translate science and engineering roadmaps into product bets with clear success criteria.
- Define platform value metrics, including adoption, quality, time to production, and infrastructure cost.
- Evaluate modeling tradeoffs, support experimentation, and ensure innovation scales sustainably across major surfaces.

## Requirements
- 7+ years of Product Management experience or equivalent.
- Experience owning a shared ML or AI platform, such as feature stores, embedding platforms, representation learning infrastructure, or recommender systems, serving internal engineering and product teams.
- Success shipping AI/ML products into production on high-traffic consumer surfaces, with involvement in retrieval, ranking, recommendation systems, or related areas.
- Strong platform product judgment and ecosystem thinking across producers, consumers, and peer programs.
- Technical credibility with ML/AI teams, including representation learning, experiment design, model architecture tradeoffs, production readiness, and infrastructure tradeoffs.
- Cross-functional collaboration and alignment in technically demanding, ambiguous environments.
- Governance and lifecycle experience, including deprecation, technical debt, signal or infrastructure cost tradeoffs, and scaling capabilities over time.
- Strategic judgment and executive communication skills.
- Bachelor’s degree in a relevant field such as Computer Science, or equivalent experience.

## Compensation and Benefits
- Base salary range: **$164,695–$339,078 USD**.
- Eligible for equity.
- Benefits information is available through Pinterest.
- US-based applicants only.
- Requires in-office collaboration 1–2 times per quarter and can be situated anywhere in the country.
- Not eligible for relocation assistance.

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