About LearnVector
For most of history, great teaching has been scarce. A brilliant teacher who knows you well, adapts to how you learn, and patiently stays with you until you get there — almost no one has had that. AI changes what's possible. LearnVector, founded by Andrew Ng, is building a trustworthy AI guide for learning, with a mission to accelerate human development. We're a small, fast-moving team working on-site in Mountain View, California and backed by a $100 million investment from Coursera.
About the role
You will design and build the front-end experiences learners use every day: the one-to-one learning experience itself, from a learner's first session to mastery. You sit at the intersection of product design and front-end engineering: close enough to design to know what makes an interface feel right, and close enough to the code to ship it.
Every learner's experience is generated and adapted for them. Your job is to make that feel like one considered product: a design language, the components that implement it, and the interaction details that make a personalized experience feel intentional. You'll own experiences end to end — design, implementation, and iteration against how real learners use them.
What you will do
- Design and build front-end experiences that learners use to learn, practice, get feedback, and see their progress, implemented to production quality
- Create the product's design language and its implementation: typography, layout, color, motion, and the component system the rest of the team builds on
- Design in the medium: sketch in code and put production work in front of learners and the team within days, then iterate from what you see
- Set and hold the quality bar for the front end: performance, accessibility, responsiveness across devices, and the interaction details that make the product feel finished
- Work with learners directly: watch sessions, run pilots, and turn what you observe into the next iteration
- Work daily with the founding team, including Andrew, on what a one-to-one learning experience should look and feel like
What you bring
- AI-native: you default to AI-assisted design and coding and building automations in everything you do, you have an appetite for and record of experimenting with the newest AI tools for design and engineering
- A portfolio of shipped products where you designed the interface and built it yourself, and can walk us through the decisions on both sides
- Strong product design craft: typography, layout, color, motion, and the interaction judgment to make a complex product feel simple
- Strong front-end engineering: TypeScript, React or similar, CSS at a systems level, animation, accessibility, and performance; comfort owning front-end systems end to end in production
- Consumer product sensibility: you understand what makes a product something people come back to, and you sweat the details users can't name but always feel
Nice to haves
- Early-stage startup experience — you've been one of the first designers or engineers somewhere and know what that demands
- Understanding of brand: how a visual identity, tone, and product design language hold together across a website, a product, and marketing
- Experience building or maintaining a design system that other people ship on
- Experience designing conversational or voice interfaces
- Motion or generative work: real-time graphics, video, or generated visuals in a product
- Marketing experience, such as designing and building landing pages, campaigns, or brand assets that had to perform
What success looks like
In your first 30 days, you will have shipped visible improvements to the product's front end and put the component and motion foundations in place that the team builds on.
In your first 6 months, the product will look and feel like one product, with a design system the whole team ships on and learners describing the experience as personal.
Equal opportunity
Accommodations
If you need a reasonable accommodation at any point in the application or interview process, we'll work with you. Requests are kept confidential and separate from hiring decisions.
Skills Required
- Portfolio of shipped products where you designed the interface and built it yourself
- Strong product design skills in typography, layout, color, motion, and interaction design
- Strong front-end engineering skills with TypeScript, React or similar, CSS, animation, accessibility, and performance
- Comfort owning front-end systems end to end in production
- Experience with AI-assisted design and coding, automation, and experimentation with AI tools
- Consumer product sensibility and attention to user experience details
- Early-stage startup experience
- Understanding of brand and visual identity across websites, products, and marketing
- Experience building or maintaining a design system
- Experience designing conversational or voice interfaces
- Motion or generative work involving real-time graphics, video, or generated visuals
- Marketing experience with landing pages, campaigns, or brand assets
AI Fund Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about AI Fund and has not been reviewed or approved by AI Fund.
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Healthcare Strength — Health coverage is portrayed as strong with great healthcare and dental coverage, plus vision insurance, long-term disability, and life insurance. Feedback suggests this aligns with tech-standard benefits for US roles at a small venture studio.
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Retirement Support — Retirement benefits include a 401(k) plan with employer match for US employees. Feedback suggests this forms part of a competitive total package for fund roles.
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Parental & Family Support — Family support includes fully paid parental leave for applicable roles. Feedback suggests this is a standout benefit for an organization of this size.
AI Fund Insights
What We Do
Who is AI Fund? We are a team of AI pioneers, proven entrepreneurs, seasoned operators, and venture capitalists that collaborates with leading entrepreneurs to solve big challenges using artificial intelligence. Founded in 2017 by Dr. Andrew Ng, AI Fund is backed with $176 million in capital by some of the leading VC firms and investors, including NEA, Sequoia, and Greylock. How Are We Different? We work with entrepreneurs during their startup’s most critical and risky phase, from 0 to 1. At the earliest stages, your company strategy is still being formed, and you’re still on the path to demonstrating your idea’s full potential – this is a reality we understand. This is the period when decisions on product strategy, market fit, and team are most critical, moving fast and fixing parts of your business when you have limited resources is a challenge. We believe the best way to help entrepreneurs is by providing our time, expertise, and resources to help flesh out these key strategic decisions. Making the right decisions at the right time can often make the difference. We are here to improve these dynamics, at a time when the help matters the most. Why Work With AI Fund? Getting a startup from idea to Series A funding is not easy. We’ve been there and understand the challenges you must overcome. Whether you desire limited help and just want access to our unique ecosystems of AI experts and entrepreneurs or you would like our full support, we are interested in the opportunity to help in your success. We are flexible in how we work with companies, but ultimately, we are here to maximize your chance of success and accelerate getting your company to market. We provide the capital, expertise, and resources to accelerate the work required to minimize risks in your startup, help you rise above the noise, and make your company more attractive to new investors.
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