This position is no longer available
Check more opportunities belowWe are a premier venture capital firm at the forefront of the artificial intelligence revolution. We invest in and incubate the next generation of transformative AI companies poised to redefine industries. Our current strategic focus is on Agentic AI—autonomous systems that can reason, plan, and execute complex tasks. We believe AI agents are the next major computing platform, and we are dedicated to building and backing the foundational companies in this space.
In this role, you will help conceptualize, define, and analyze novel applications for AI agents, contributing to projects that could become our next major investment or internal venture. Here, you will combine your technical knowledge with finance to oversee and execute investment choices in real time. You will gain solid understanding and executing of business strategy and yearly budget.
Key Responsibilities
• Market & Opportunity Analysis: Conduct deep-dive research to identify underserved problems and high-potential use cases for AI agents across various sectors (e.g., finance, Commercial Real Estate, Marketing, software development).
• Product Definition: Develop concise Product Requirements Documents (PRDs) or one-pagers for new agentic AI concepts. You will define the user, the problem, the core value proposition, and key success metrics.
• User-Centric Design: Create user stories, define agent workflows, and map out ideal user journeys. Think critically about user interaction with autonomous systems.
• Conceptual Prototyping: Work with technical mentors to outline the architecture of a potential AI agent, including the required models (LLMs), tools (APIs), and data sources. No coding required, but a technical understanding is key.
• Competitive Landscape: Analyze existing AI agent platforms and products (e.g., multi-agent frameworks, task-specific agents) to identify market gaps and areas for differentiation.
• Stakeholder Presentation: Prepare and present your findings, product concepts, and strategic recommendations to the investment team.
What You Will Gain
• Domain Expertise: A deep, practical understanding of Agentic AI, Large Language Models (LLMs), and system design for autonomous agents. You'll learn about concepts like planning, tool use, and Retrieval-Augmented Generation (RAG).
• Venture Capital Acumen: First-hand insight into how a VC firm evaluates AI startups, analyzes market trends, and performs technical due diligence.
• Product Management Toolkit: Hands-on experience in the core functions of product management, from ideation and market research to road mapping and requirements definition.
• Elite Mentorship: Direct access to and mentorship from experienced AI practitioners, product leaders, and venture capitalists.
• A Powerful Network: Unparalleled opportunities to network with founders and operators within our portfolio and the broader AI ecosystem.
• Capstone Project: A tangible product concept and a strategic analysis presentation to add to your professional portfolio, showcasing your ability to operate at the intersection of AI, product, and business.
Qualifications
• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Business, or a related technical field.
• A demonstrable, obsessive passion for artificial intelligence. You should be familiar with recent breakthroughs and key players in the AI space.
• Exceptional analytical, problem-solving, and communication skills. You can distill complex topics into simple, actionable insights.
• A self-starter attitude with a high degree of intellectual curiosity and the ability to work autonomously in a fast-paced environment.
• Strong strategic thinking and business acumen.
• Hands-on experience with AI/ML projects (personal, academic, or professional).
• Familiarity with using AI APIs (e.g., OpenAI, Google Gemini, Anthropic) or prompt engineering. • Experience creating wireframes or mockups with tools like Figma.
Includes 1 screening question.