Investor – AI Tools

About Samsung Next 

Samsung Next is an investment and corporate development group that champions bold and ambitious founders, focusing on transformative innovations in AI, intelligent machines, healthtech, consumer services, and frontier technologies. We provide early-stage capital, expertise and access to Samsung to accelerate founder success and bring strategic value to Samsung in the form of insights and collaborations. We deploy a unique strategy, making a large number of investments with rapid and independent decision-making. We are a global organization with offices in Silicon Valley, New York, and Suwon (Korea).

About the Role

Samsung Next is looking for a technical builder who wants to break into venture capital. You’ll build AI tools that make us smarter about our portfolio and the markets we invest in, while learning the craft of venture investing from the inside. You’ll be our builder-in-chief for AI-driven venture tooling: prototyping systems that help us source founders earlier, synthesize markets faster, map startups to Samsung’s strategic priorities, and operate more intelligently. At the same time, you’ll sit alongside our investors, seeing how decisions get made, how we evaluate startups, and how we support our portfolio. This is your gateway into venture capital: you’ll get exposure to deals, founders, and strategy conversations that shape the future of Samsung’s innovation bets. 

This position is based in Mountain View, CA requiring in-office days typically two days per week. Additionally, due to the global nature of our work  evening, early morning, and weekend work may be required. 

Key Responsibilities:
The Investor (AI Tools)  is responsible for building the foundation to get our data into shape, developing the tools that establish effective pattern recognition and trend spotting, and creating strategic analysis tools that lead to better decision making. Likely projects are detailed below:

1. Foundation: Get the Data into Shape: 

• Investor Update Ingestion Pipeline – Build systems to collect investor updates (emails, PDFs, Notion docs, Google Drive folders), apply OCR + parsing, and tag each update with company name, sector, stage, date, funding, and geography.
• Portfolio Metadata Enrichment – Pull in public data from Crunchbase, PitchBook, LinkedIn, etc., to fill in missing details (founder background, funding history, employee count).
• Basic Search & Retrieval System – Set up a RAG tool so the team can query portfolio data in natural language.
• Early Insights Dashboard (MVP) – Provide basic metrics on distribution by sector, stage, geography, and funding rounds over time.

2. Pattern Recognition & Trend Spotting

• Trend Heatmap – Apply NLP to extract common themes, tech mentions, and challenges from investor updates, and visualize trends over time.
• Success/Failure Pattern Analysis – Identify shared characteristics among top-performing companies and those struggling or shutting down
• Samsung Collaboration Impact Tracker – Link internal engagement (introductions, pilots, technical help) with measurable outcomes for startups.
• Founder Playbook Extractor – Build tools to extract tactical lessons from founder updates (“here’s what worked in GTM for Series A AI SaaS companies”).

3, Mapping & Strategic Alignment

• Startup-to-Business-Unit Mapping Engine – Develop a tagging/matching system that aligns portfolio companies to Samsung’s core and adjacent businesses.
• Competitive Intelligence Layer – Flag when a portfolio startup’s moves overlap with competitor activity
• Startup Readiness Scores – Score each company on tech maturity, scalability potential, and fit for corporate partnership.
• Unified Portfolio CRM – Link startup data with Samsung’s internal BD/partnership CRM

Required Qualifications:

• Undergraduate degree in a technical discipline or experience in a technical role
• Highly successful 2+ years of technical experience
• Expertise in building AI-powered tools that amplify human decision-making with demonstrated track record
• Have strong coding skills (Python, JavaScript/TypeScript, or similar) and experience with LLM APIs, embeddings, and retrieval systems
• Adept at developing and leveraging strong professional relationships
• Love technology markets - both the underlying technology and the business strategies and outcomes
• Displays high EQ and is a team oriented contributor
• Demonstrates outstanding analytical and communication skills both written and verbal - able to simplify the complex and provide pointed insights

Compensation:

The base salary range for this role is 175k-195k