Product Management Intern

Job Description

Who We Are

Yieldmo is an advertising platform that helps brands invent creative experiences through tech and AI, using custom ad formats, proprietary attention signals, predictive format selection, and privacy-safe premium inventory curation. Yieldmo believes all ads should be human-centered, tailored, and provoke users’ emotions and actions. Yieldmo helps brands deliver the best ad for every impression opportunity, merging creative and media for proven results.

What We Need

We’re looking for a technically curious, highly proactive Product Management Intern to join Yieldmo’s Data Engineering (DCS) team for Summer 2026. 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. 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 won’t just support projects—you’ll help shape outcomes that directly impact how Yieldmo activates and scales data-driven advertising solutions.

What You Can Expect In This Role

• 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

• 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

Hiring Process

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

Nice to Haves

• Hands-on experience building side projects, prototypes, automations, or technical tools independently
• Familiarity with SQL, Python, Looker, or similar analytics and data visualization platforms
• Exposure to ETL pipelines, data infrastructure concepts, or large-scale data workflows
• Interest in or exposure to ad tech, programmatic advertising, digital media, or data-driven marketing environments

Our Values

INNOVATION: We encourage curiosity, embrace new ideas, and believe no idea is too bold.

AGILITY: We embrace change, act quickly, and adapt with a focus on getting things done.

INTELLIGENCE: We make decisions guided by data, always aiming to deliver maximum value to our customers.

AUTONOMY: We empower individuals to create their own paths with flexibility and independence.

TOGETHERNESS: We foster an environment where teamwork thrives, support is mutual, and every voice matters.

What We Offer

We believe that diverse people and perspectives lead to breakthrough ideas, therefore we provide comprehensive benefits and an inclusive culture to support our valued team members.

• Remote Work: Our team is fully distributed, though we love an opportunity to get together at our annual offsites, holiday parties, and more
• 100% Company Paid Health Coverage: Choose the medical, dental, and vision plan that’s best for you and your family – all with options for 100% company paid coverage
• 401(k) Plan: Invest in yourself by participating in our 401(k) plan with a company match
• Equity: Share in Yieldmo’s success through our employee stock option program
• Flexible Time Off, Company Slowdowns, and Summer Fridays: Take time off to relax and rejuvenate on your own terms with flexible time off, multiple company slowdowns, and Summer Fridays
• Home Office Setup and Stipend: Setup your home office for success with our premium technology packages and an additional stipend for any extra needs
• Professional Development: Grow your hard and soft skills with our annual professional development stipend

This is a paid internship at $35/hour for a 10-week, full-time program (40 hours/week) running Summer 2026. The position is fully remote and open to candidates based anywhere in the United States.