Top Tech Jobs & Startup Jobs

The Product Management Internship involves advocating for customers, using data-informed decision-making, leading product initiatives, and collaborating cross-functionally while pursuing an MBA.

The Data & Analytics Intern will support the Decision Science team by analyzing data, developing dashboards in Looker, and collaborating on metrics and reporting.

The AI Intern will prototype LLM-based agents, explore multi-agent orchestration, and implement agent memory architectures while collaborating on high-impact projects.

The Senior Data Engineer will enhance data reliability and performance, develop data pipelines, optimize Snowflake performance, and explore AI integrations for improved data modeling.

The Enterprise Solutions Engineer will lead technical strategy and solutions for high-value nonprofit clients, shape deal strategy, and mentor team members. They will engage deeply with enterprise sales and partners to architect scalable solutions aligned with nonprofit needs, while contributing to product direction and market strategies.

As a Senior Frontend Software Engineer, you'll develop features, mentor team members, and enhance platform stability while collaborating with cross-functional teams.

The Senior Agentic AI Developer will build LLM-based autonomous agents and orchestration systems for fundraising, optimizing donor engagement through advanced reasoning and planning capabilities while ensuring enterprise-grade performance in a collaborative environment.

Lead the modernization of GoFundMe's data architecture, focusing on scalable cloud-native solutions, data governance, and cross-functional partnerships to enhance analytics and AI capabilities.

The Senior Agentic AI Developer will design and implement LLM-based autonomous agents and orchestration systems to enhance fundraising and donor engagement. Responsibilities include building frameworks, developing microservice architecture, enabling multi-agent collaboration, and ensuring the safety and performance of AI systems.

Design and implement scalable AI platforms, optimize ML pipelines, mentor engineers, collaborate cross-functionally, and oversee backend services.