Product Management Intern, Yieldmo

• We’re looking for a technically curious, highly proactive Product Management Intern to join Yieldmo’s Data Engineering (DCS) team for Summer 2026
• This role is ideal for someone who thrives in fast-moving environments, enjoys solving ambiguous problems, and actively uses AI tools to accelerate how they think and build
• You are currently pursuing a Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Systems, Data Science, or a related technical field (Rising Senior or Graduate Student preferred)
• You actively use AI tools to build, prototype, automate, or solve problems in meaningful ways beyond casual experimentation
• You have independently owned projects from idea through execution, demonstrating initiative, accountability, and strong follow-through
• You are comfortable collaborating across technical and non-technical teams and can clearly communicate requirements, tradeoffs, and progress
• You bring strong technical curiosity and foundational knowledge of APIs, systems, data workflows, or analytics concepts
• You are organized, adaptable, and able to manage multiple priorities in a fast-paced, high-growth environment

Desirable

• In this role, you’ll help drive critical data initiatives forward while independently identifying opportunities to improve systems, workflows, and user experiences
• You’ll partner closely with engineering and business stakeholders to manage active projects, prototype solutions, and bring structure to complex data operations
• You won’t just support projects—you’ll help shape outcomes that directly impact how Yieldmo activates and scales data-driven advertising solutions
• Drive progress across 10–12 active Data Engineering initiatives by coordinating with cross-functional teams, identifying blockers, and helping keep execution on track
• Build dashboards and reporting tools that improve visibility into pixel performance, onboarding workflows, and operational health
• Own independent projects end-to-end, including user discovery, requirement gathering, prototyping, and presenting recommendations
• Support the automated onboarding of client first-party data, including ingestion workflows, vendor coordination, re-ingestion processes, and campaign readiness
• Write clear product requirements, technical documentation, and process guides that support scalable engineering execution
• Leverage AI tools such as Claude and ChatGPT to prototype ideas, automate workflows, and improve operational efficiency
• Collaborate closely with Data Engineering stakeholders to improve systems, tooling, and internal processes across the DCS organization
• Analyze workflows and identify opportunities to reduce friction, improve reliability, and create more scalable solutions
• Build and maintain curated prospect and research lists that support strategic business and partnership opportunities
• Present an end-of-summer recap highlighting key project outcomes, insights, learnings, and product contributions to stakeholders and leadership

• Select candidates will be invited to schedule a 30 minute screening call with a member of our Talent Acquisition team. We will discuss the Hiring Process details at that time. The hiring process typically includes, but is not limited to:
• A 60 minute video interview with the Hiring Manager
• Candidates will be invited to join a remote on-site interview round, consisting of video interviews with various team members and leadership
• Successful candidates will subsequently be made an offer