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Job Description
Product Management MBA Intern (Graduate Student) | Sigma Computing
The Tone:
This is an internship at Sigma Computing, located in San Francisco, CA. Sigma is an AI apps and analytics platform connected to the cloud data warehouse, revolutionizing the analytics landscape. It provides a unique spreadsheet-like interface, alongside SQL and Python editors, visual builders, and native AI, empowering all decision-makers to securely analyze and interact with billions of rows of live data. Leveraging the unlimited scale and speed of the cloud, Sigma enables users to quickly answer their own questions, making and visualizing accurate, data-driven decisions. The company recently secured $200M in Series D financing, accelerating its growth in AI infrastructure, data application development, and enterprise-wide collaboration. This Product Management MBA Intern role is crucial for defining, building, and launching new features, working on critical projects that impact Sigma’s customers and directly contribute to the mission of making data accessible to everyone.
The TL;DR
• Role: Internship
• Type: Temporary
• Location: San Francisco, CA (On-site)
• Pay: $50 hourly
• Mission: Define, build, and launch features that help businesses make the most of their data.
What You’ll Actually Do
• Collaboration: Define product requirements and user stories by collaborating with cross-functional teams including Engineering, Design, and Customer Success.
• Research: Conduct thorough market research and competitive analysis to inform strategic product decisions.
• Analysis: Analyze user behavior and feedback data to identify specific areas for product improvement and enhancement.
• Planning: Assist in defining future product roadmaps and prioritizing features based on their potential impact and development feasibility.
• Development Cycle: Work directly with engineers throughout the development cycle to ensure smooth execution and successful delivery of new features.
• Documentation: Help create essential product documentation, release notes, and internal training materials for new features.
The Must-Haves
• Background: Currently enrolled in a university graduate degree program in the U.S., pursuing an MBA or MS in Computer Science, Business, or a related field, with a graduation date of December 2026 or later.
• Experience: Past professional experience in Software Engineering or Product Management within software teams is strongly preferred.
• Skills: Strong analytical and problem-solving abilities with a focus on data-driven decision-making, alongside excellent communication and collaboration skills.
• Bonus: Prior experience in data analytics or software development.