Product Operations Engineer Intern

Responsibilities

• Design, deploy, and monitor AI agents that automate recurring operational workflows end to end.
• Build and ship internal applications for deployment tracking, release and feature enablement, field feedback intake, and labeling operations management.
• Create cross-functional agentic workflows, data pipelines, and integrations for internal users.
• Partner with GTM on technical enablement, Product-Led Sales motions, and feature pricing structures.
• Coordinate with Product, Engineering, Deployments, Go-To-Market, and Operations stakeholders to improve processes.

Requirements

• Currently enrolled in or recently graduated from a bachelor's or master's program in Computer Science, Engineering, Data Science, or a related technical field.
• Strong analytical and technical aptitude, including understanding of APIs, data structures, and engineering constraints.
• Experience working in a multi-stakeholder environment between Engineering and Commercial or Field teams.
• Ability to balance strategic work such as pricing and analysis with hands-on execution such as data-labeling coordination for RLHF and deployment coordination.

Benefits

• Mentorship from a strong engineering team and direct collaboration with the CTO and Head of Product.
• Real ownership of production tools and AI agents with real users.
• Exposure to deployments, go-to-market, and operations.
• Project ownership, autonomy, and encouragement to ship.
• Opportunity to join a team backed by a16z, Y Combinator, Base10, Prysm Capital, and Eurazeo.