Software Engineer II, Full Stack
Ort: Toronto, ON, CA · Bereich: Engineering & Softwareentwicklung · Level: Mid-Level · Veröffentlicht: 28. Juli 2026 · Geprüft: 3. Nov. 2026
Rollenübersicht & Beschreibung
Team-Wachstum & Marktbewegung von Pinterest beobachten
Polaris7 aggregiert offene Vakanzen, strategische Marktbewegungen und M&A-Signale in Echtzeit. Erhalte automatische Signal-Briefings zu Pinterest und vergleiche das Ökosystem mit direkten Wettbewerbern.
Visuelle Entdeckungsplattform mit einer Self-Serve-Werbeplattform für Unternehmen.
Vollständiges Unternehmensprofil, Wettbewerber & Marktsignale zu Pinterest freischalten
Ähnliche Positionen im DACH-Ökosystem
Verwandte Rollen und Profile aus dem AdTech-, Media- und Datenmarkt
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Weitere Positionen bei Pinterest
3 weitere offene Stellen
This Lead Digital Producer role owns end-to-end production for Pinterest's business-facing web ecosystem, including the Business Site, campaign experiences, and event platforms. The role involves translating strategy into production plans, evaluating platforms and vendors, and managing cross-functional teams across Design, Engineering, and Marketing. Requires strong technical fluency and operational discipline to lead complex digital launches.
This Brand Partnerships Manager role leads the rollout of Pinterest's Advertiser Co-Marketing Brand Toolkit across France, Germany, and the Netherlands, working with the Global Sales Organisation to qualify and deliver co-marketing opportunities. The role involves creating market-ready guidance, training internal teams and agency partners, and ensuring brand standards are upheld while driving commercial revenue. Requires fluency in French and English.
This Staff Machine Learning Engineer role focuses on advancing Pinterest's recommendation research through agentic AI, specifically the Reflex project. The engineer will build LLM agents that automate hypothesis generation, implementation, and experimentation, and contribute to generative retrieval with Semantic IDs. This is a hands-on technical leadership role requiring deep ML fundamentals and experience building production systems.