Sr. Staff Software Engineer, Notifications & Growth Platform
Ort: San Francisco, CA, US; Remote, US · Bereich: Engineering & Development · Level: Senior · Veröffentlicht: 7. Oktober 2026 · Geprüft: 7. Okt. 2026
Rollenübersicht & Beschreibung
Über das Unternehmen
Visual discovery platform with a self-serve advertising business.
Ähnliche Positionen im DACH-Ökosystem
Verwandte Rollen und Profile aus dem AdTech-, Media- und Datenmarkt
This Solution Architect role is responsible for the technical ownership of the PIX platform, translating business requirements into concrete technical solutions, and acting as the primary liaison between business stakeholders and the engineering team. Requires deep technical expertise and strong communication skills to bridge the gap between business needs and technical implementation.
This full-stack web engineer role involves developing modern web applications for the PIX data platform from scratch, creating intuitive user interfaces, and integrating data, technology, and user needs into smart solutions. Requires proficiency in both frontend and backend development, with a focus on delivering a seamless user experience.
This role serves as the primary IT helpdesk contact, independently resolving technical disruptions and service requests for end users. The specialist provides quick, effective solutions and acts as the face of IT for the organization.
Lead engineering teams across Germany and Switzerland, driving technical strategy and delivery for DEPT®'s digital projects. Focus on scaling engineering practices, fostering innovation, and ensuring high-quality outcomes for clients.
Weitere Positionen bei Pinterest
3 weitere offene Stellen
This is a machine learning internship in Dublin for 2027, focusing on contributing to model development and research projects. Interns will work with senior engineers to solve real-world problems in a Dublin-based team.
Leads data science initiatives for Pinterest's Trust and Safety domain, developing models and analytics to detect and mitigate harmful content and abuse. Requires deep expertise in machine learning and large-scale data analysis to protect users and platform integrity.
Develops and maintains data pipelines and analytics solutions to support business insights. Focuses on data modeling, ETL processes, and performance optimization to enable data-driven decision-making.
