Product Intern (Summer 2025)

About Us

We are on a mission to bridge the gap between enterprise business knowledge and data, democratizing data discovery and curation to prepare organizations for the era of generative AI. Today's data tools are overly complex, poorly integrated, and siloed, forcing AI Practitioners and data scientists alike to spend more time wrestling with tools, relying on tribal knowledge, and navigating data lakes rather than doing meaningful data science work. The current landscape of data tools and processes is heavily manual and needs to catch up with the vast amount of data generated daily. With the advent of Gen AI and multi-modality, this challenge has only grown more complex and broken.

Backed by top VC funds, we are committed to making enterprise data AI-ready faster, more reliably, and with a stronger foundation of factual semantic knowledge. This leads to more accurate models, superior outcomes, and better business results. Our team of seasoned data infrastructure and machine learning experts (from LinkedIn, Visa, Truera, Hive, and Branch) has spent the past two decades building bespoke systems to solve these very challenges.

About the job 

We are looking for a Product intern to join us either part-time through the year or full-time for the summer. As a Product Intern, you'll be working to create AI systems that can deeply understand data and domain, enabling enterprises to prepare their data for AI.

As a Product Management Intern, you will support the development of products that meet our customers' needs. You will work directly with customers and cross-functional teams to ensure our product vision aligns with user requirements and business goals.

• Support product development to meet early design partners' and customers' needs.
• Collaborate with cross-functional teams to align product vision with user requirements and business goals.
• Work closely with founders, designers, and ML engineers to iterate on features from ideation to launch.
• Develop product features with direct customer impact.
• Present ideas and take ownership of outcomes.
• Collect necessary data to inform product decisions.
• Write specifications and collaborate with engineering teams to ensure project success.

• Pursuing an undergraduate/graduate degree in computer science, engineering, or a related field
• Passionate about building products and features that delight our users
• Curious about and can identify what drives users
• Eager to share and present your ideas across different audiences
• A basic understanding of the ML and LLM ecosystem 
• Enthusiastic about data and AI/ML ecosystems

• Exposure to cloud ecosystems 
• Prior product internship experience
• Exposure to search, ranking, or graph-based systems