Solutions Engineer Intern 2027
Location: San Francisco, CA, US; Remote, US · Category: Customer Success & Client Operations · Seniority: Intern · Posted: October 10, 2026 · Verified: Oct 10, 2026
Role Overview & Description
About the company
Visual discovery platform with a self-serve advertising business.
Similar Positions in DACH
Related roles across advertising, media, and data
This leadership role oversees the Customer Success Management team, driving strategy and execution for client success across BIScience's data and AI product portfolio. The position requires managing a team and ensuring high-impact customer outcomes.
Optimizes customer care staffing and scheduling in the Hyderabad office, focusing on workforce management planning. Requires experience in WFM, forecasting, and scheduling within a contact center environment.
Onboards and supports new restaurant partners in the Belgium market, requiring Dutch language proficiency. Focuses on ensuring a smooth partner experience and successful integration into Deliveroo's platform.
Manages key enterprise customer relationships for commercetools' commerce platform, focusing on driving value realization and ensuring retention. Works to understand customer goals, mitigate churn risk, and foster long-term partnerships.
More Positions at Pinterest
3 more open roles
Manages client accounts for Pinterest's advertising platform, ensuring advertiser satisfaction and retention. Focuses on day-to-day client relationship management and campaign performance.
This senior machine learning engineer role focuses on growth science at Pinterest. The engineer will develop models to drive user growth and engagement, leveraging large-scale data and machine learning techniques.
This staff machine learning engineer role focuses on developing and deploying visual AI models for content understanding at Pinterest. The engineer will work on image and video analysis to improve content recommendation and discovery, requiring expertise in machine learning, computer vision, and large-scale model deployment.
