AdTechTalent
Product2 days agoRemote

Yieldmo

Product Management Intern

internshipproduct managementdata engineeringAIClaudeChatGPTSQLPythonLookerETLdata workflowsprogrammaticad techdata-driven marketing

Key details

Salary

From $35

Employment type

Full-time

Seniority

Entry

Years experience

0-2

Location

United States

Full job description

Yieldmo is seeking a Product Management Intern for Summer 2026 to join the Data Engineering team. This full-time, paid internship ($35/hour, 40 hours/week, 10 weeks) is fully remote and open to candidates in the United States. Responsibilities include managing multiple data engineering initiatives, building dashboards and reporting tools, owning projects end-to-end, supporting client data onboarding, writing product requirements and documentation, leveraging AI tools for prototyping and automation, collaborating with stakeholders to improve systems, analyzing workflows for scalability, maintaining research lists, and presenting project outcomes. Candidates should be pursuing a technical degree, have experience using AI tools meaningfully, have independently managed projects, communicate effectively across teams, possess technical curiosity and knowledge of APIs and data workflows, and be organized and adaptable. Preferred skills include experience with SQL, Python, Looker, ETL pipelines, and interest in ad tech or programmatic advertising. Benefits include remote work, fully paid health coverage, 401(k) with match, equity, flexible time off, home office stipend, and professional development support.

What you'll do

  • 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

Requirements

  • 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)
  • Actively use AI tools to build, prototype, automate, or solve problems in meaningful ways beyond casual experimentation
  • Independently owned projects from idea through execution, demonstrating initiative, accountability, and strong follow-through
  • Comfortable collaborating across technical and non-technical teams and can clearly communicate requirements, tradeoffs, and progress
  • Strong technical curiosity and foundational knowledge of APIs, systems, data workflows, or analytics concepts
  • Organized, adaptable, and able to manage multiple priorities in a fast-paced, high-growth environment

Tech stack

AI toolsClaudeChatGPTSQLPythonLookerETL pipelinesdata infrastructuredata workflows

Benefits

Remote work with fully distributed team and annual offsites100% company paid health coverage including medical, dental, and vision plans401(k) plan with company matchEmployee stock option program (equity)Flexible time off, company slowdowns, and Summer FridaysHome office setup with premium technology packages and additional stipendAnnual professional development stipend

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