Jobs at Pinterest

238,301 open positions

Pinterest, launched in 2010, is a visual discovery engine that powers millions of daily planners and creators. Its algorithm curates a personalized feed called the “Pinboard,” making it a leader in recommendation systems and AI-driven content curation. The company’s growth has driven demand for engineers, data scientists, and product teams that build scalable, data‑centric features.

Pinterest hires across software engineering, data science, machine learning, product management, UX design, marketing, and operations. Candidates can expect rigorous technical interviews, a focus on impact metrics, and collaboration with cross‑functional teams that prioritize user experience and ethical AI practices.

Job Transparency’s listings give you full visibility into Pinterest’s salary ranges, benefits, and employee sentiment. By comparing base pay, bonus potential, and equity, you can benchmark offers and negotiate confidently while understanding the company culture through real employee reviews.

No open positions at Pinterest right now.

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Frequently Asked Questions

What is it like to work at Pinterest?
Pinterest fosters a collaborative environment where teams blend design and data to create personalized content feeds. Employees enjoy flexible work arrangements, a strong emphasis on professional development, and regular hackathons that encourage experimentation. The culture values diversity, inclusion, and ethical use of AI, reflected in transparent policies and employee resource groups.
What types of positions are available at Pinterest?
Pinterest offers roles in software engineering (frontend, backend, infrastructure), data science & machine learning, product & program management, UX/UI design, research, security, marketing, and operations. Openings span entry‑level, mid‑tier, and senior positions, with many roles supporting global scale and monetization features.
How can I stand out as an applicant?
Showcase projects that demonstrate scalable data pipelines, recommendation algorithms, or user‑centric design. Include metrics—such as lift in engagement or conversion—to quantify impact. Highlight experience with large‑scale distributed systems, Python/Java, or TensorFlow. Demonstrate cultural fit by sharing examples of collaboration, ethical data use, and participation in community initiatives.

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