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Overview
Join Paradigm as a Product Engineer in Applied AI to build innovative solutions that enhance investment and research processes in the crypto industry. Paradigm is a San Francisco-based investment firm focused on frontier technologies across the globe, with over $11 billion in assets under management. We make investments in companies and protocols at all stages, ranging from early-stage venture financing rounds to growth equity to liquid assets. Paradigm was co-founded in 2018 and is co-led by Matt Huang and Alana Palmedo. We’ve been hard at work investigating the world’s most beautiful technical problems since day one. Our research-driven approach helps us build relationships with founders and entrepreneurs, but it also reflects our broader goal of accelerating the progress of frontier technology.
What you'll do
- •Build for the people moving the firm: Embed with I&R, Events, and BizOps to find the work and decisions worth automating and ship agents to take it on. The features you build become how the firm sources, researches, and operates, which means your product sense directly shapes how effective Paradigm is.
- •Agent surfaces: Build the user-facing experience, primarily the Slack interface, so collaborating with agents feels fast, legible, and trustworthy.
- •Extensibility and developer experience: Own the systems teams use to extend Centaur without forking it including tools, workflows, skills, and overlays, and make building on top of it feel effortless.
- •Harness integration: Expand support across the different agent CLIs Centaur can run, keeping one clean execution model underneath.
- •Open-source stewardship: As an MIT-licensed project, you're the face of it to the community, triaging issues and PRs, writing the docs and examples, and shaping the guides that pull people in.
Qualifications and Experience
- •A track record of building world-class products
- •Experience applying modern AI and software systems to solve complex, ambiguous problems end-to-end
- •Comfortable navigating everything from foundational models to full-stack product delivery
- •Pragmatic, product-minded builder who cares about solving real problems rather than overfitting to academic ML goals
- •Ability to work autonomously and as a collaborator on the team
Attributes
- •Exceptional team player
- •Extreme open-mindedness
- •Clarity of thought
- •Clear and concise communication (both written and verbal)
- •Technical depth; analytical; rigorous
- •Highly curious; fast learner
- •Ability to bridge technical and investing mindsets
- •Interest in frontier technologies and crypto markets