Company OverviewAt Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.
Position OverviewAs a Product Management Intern at Skild AI, you will play a key role in helping bring our cutting-edge robotics platform to market. You’ll collaborate with cross-functional teams including engineering, design, research, and customer operations to understand market dynamics, identify customer needs, and help shape the productization of intelligent robots.
This is a rare opportunity to work on frontier AI and robotics systems while building practical skills in product strategy and execution.
Responsibilities
- Market & Competitive Analysis. Conduct in-depth research to map out addressable markets, analyze competitor offerings, identify unmet customer needs, and spot emerging trends in robotics and automation.
- Customer Requirements & Insights. Gather feedback from pilot customers, synthesize insights, and help translate them into clear product requirements and user stories.
- Productization Support. Assist in shaping how our Skild Brain is integrated into real-world robotic platforms, from defining MVP features to operationalizing pilot deployments.
- Success Metrics & Feedback Loops. Help define and track KPIs that measure the success of deployments and product-market fit, and build mechanisms for continuous learning.
- Cross-functional Collaboration. Support coordination between engineering, research, and operations to define product decisions accounting for technical constraints and strategic goals.
Preferred Qualifications
- Currently pursuing a degree in Computer Science, Engineering, Business, or a related field (undergraduate or graduate level).
- Passion for robotics, AI, and the future of embodied intelligence.
Strong analytical skills and ability to derive insights from data and research.
- Excellent written and verbal communication skills; ability to clearly convey technical and business concepts.
- Curiosity, initiative, and a bias for action—you're excited by ambiguity and love solving real-world problems.
- Experience with technical products, startups, or emerging technologies is a plus.
