Product Management Intern, Agentic AI

Parspec • San Mateo, CA

1d • Hybrid

About The Position

Parspec is seeking a Product Management Intern to work with product leadership on its AI quoting agent, which helps distributors and representative agencies build quotes. The intern will own a product area from customer discovery through an engineering-ready specification and contribute to the agent’s business model. The role involves speaking with customers, defining requirements, building prototypes, and helping ensure the agent is reliable and commercially viable.

The intern will investigate quoting workflows, identify where AI can provide value and where human judgment should remain involved, and use customer evidence to prioritize product development. They will prototype and validate agent workflows, define success metrics and release criteria, and prepare product specifications for engineering. They will also analyze customer value, usage, costs, and pricing approaches for AI products, then recommend a pricing model to Parspec leadership.

This is a hands-on internship working on a live product used by customers. Parspec offers a flexible hybrid work environment and exposure to product leadership and the practical challenges of AI product management.

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 working with usage data, unit economics, and pricing trade-offs.
• Structured problem-solving skills, including the ability to turn an ambiguous question into an answerable work plan.
• Excellent written and verbal communication skills, including the ability to conduct customer interviews and write specifications engineers can build from.
• Ownership mentality, demonstrated by taking something from an initial question to a shipped result without being managed through every step.
• Genuine interest in AI products, including serious use of AI products and the ability to articulate what works and what does not.

Nice To Haves

• Prior 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 businesses.
• Experience in fast-paced or early-stage startup environments.

Responsibilities

• Interview distributor and rep agency users to understand how quotes are built, including workarounds and judgment calls.
• Map the end-to-end quoting workflow and identify where an AI agent can provide value and where human judgment should remain involved.
• Prioritize what the agent should do next based on customer evidence.
• Build working prototypes to test agent workflows with real users before engineering commits to a full build.
• Translate customer needs into product requirements and an engineering-ready specification.
• Define success metrics for agent accuracy, time saved, customer trust, and adoption.
• Set release criteria and define how reliability will be evaluated on real-world quoting scenarios.
• Analyze customer value, product usage, and the cost of serving AI-powered work.
• Research pricing models for AI products, including seat-, usage-, and outcome-based approaches, and assess their implications for customers and margins.
• Recommend a pricing approach for Parspec’s AI-powered work and present the supporting analysis to leadership.

Benefits

• Direct, sustained working exposure to Parspec’s product leadership.
• Ownership of a live AI product feature used by real customers, including producing a specification and pricing recommendation the company acts on.
• Hands-on experience with making AI agents reliable and commercially viable.
• A foundation and experience relevant to future roles in AI product management, product leadership, or founding.
• Flexible hybrid work environment.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: No Education Listed