# Staff Product Manager, Applied Science

**Company**: Pinterest
**Location**: San Francisco, CA
**Work arrangement**: remote
**Experience**: staff
**Job type**: full-time
**Salary**: $164,695-$339,078 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/pinterest/jobs/8082033?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_cdccc3d5-722

## Description

At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love. We're looking for Staff Product Managers to help shape the next chapter of Pinterest's applied AI/ML platform.

As a Staff Product Manager on Applied Sciences, you'll partner closely with science, engineering, research, and product teams across Pinterest to help define the roadmap, abstractions, and product strategy that make this work broadly useful across the company while strengthening the shared foundation.

Responsibilities:

- Help shape the product vision and roadmap across key areas of Pinterest's Applied Sciences portfolio, including representation learning, signals, and recommender systems.

- Partner with teams across Pinterest to ensure new capabilities are broadly adopted and not built or deployed in silos.

- Work closely with science, engineering, research, and surface teams to translate technical roadmaps into product bets with clear success criteria.

- Define and communicate how platform value is measured, including adoption, quality, time to production, and infrastructure cost.

- Partner across teams to evaluate modeling tradeoffs, support experimentation, and help ensure innovation scales sustainably across Pinterest's major surfaces.

Requirements:

- 7+ years of Product Management experience or equivalent

- Demonstrated experience owning a shared ML or AI platform

- Demonstrated success shipping AI/ML products into production on high-traffic consumer surfaces

- Strong platform product instincts and ecosystem thinking

- Technical credibility with ML/AI teams

- Strong cross-functional range and credibility

- Governance and lifecycle discipline

- Strong strategic judgment and executive communication

- A bias toward clarity and urgency

- Bachelor's degree in a relevant field such as Computer Science, or equivalent experience

## Skills

### Required
- Product Management
- AI/ML
- Platform Product
- Ecosystem Thinking
- Technical Credibility
- Cross-Functional Collaboration
- Governance
- Strategic Judgment

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/pinterest/jobs/8082033?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)