Product Management Intern (Agentic AI)

Location: Hybrid - San Mateo, California, United States

Company

hirify.global develops AI technology that digitizes and organizes product data for the construction materials supply chain, including a product catalogue used by designers, builders, distributors, manufacturers, and sales agents.

What you will do

• Interview distributor and rep agency users to map current quoting workflows, workarounds, judgment calls, and opportunities for AI assistance.
• Prioritize agent capabilities based on customer evidence and define where human judgment remains in the loop.
• Build and test agent workflow prototypes with real users before engineering commits to a full build.
• Translate customer needs into product requirements and engineering-ready specifications.
• Define accuracy, time-saved, trust, adoption, and reliability metrics and set release criteria for real-world quoting scenarios.
• Analyze customer value, usage behavior, serving costs, and competing AI pricing models; recommend a pricing approach to leadership.

Requirements

• Currently pursuing or recently completed an undergraduate or graduate degree in Business, Economics, Engineering, Computer Science, Data Analytics, or a related field.
• Strong analytical skills, including comfort with usage data, unit economics, and pricing trade-offs.
• Structured problem-solving skills for breaking ambiguous questions into answerable workplans.
• Excellent written and verbal communication skills, including the ability to conduct customer interviews and write specifications engineers can build from.
• Ownership experience taking an initiative from question to shipped result without being managed through it.
• Genuine interest in AI products, including serious use of AI tools and the ability to explain what works, what fails, and why users trust them.

Nice to have

• Professional experience in product management, consulting, software engineering, or a startup operating role.
• Hands-on experience building with or evaluating LLMs and AI agents, including personal projects.
• Exposure to B2B SaaS business models, pricing and packaging, or product discovery methods.
• Interest in construction, building materials, industrial distribution, or vertical SaaS.
• Experience in fast-paced or early-stage startup environments.

Culture & Benefits

• Full-time internship with direct, sustained exposure to product leadership.
• Ownership of a live AI product feature used by customers, including a specification and pricing recommendation acted on by the company.
• Hands-on experience addressing AI product reliability and commercial viability.
• Flexible hybrid work environment.
• Self-starter culture focused on ownership, high standards, diverse backgrounds, and a discrimination-free workplace.