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 apply deep expertise in teaching to build products that result in learners actually developing new skills — not just consuming content. You sit at the intersection of pedagogy and engineering: close enough to the craft of teaching to know what makes an explanation land, and close enough to the technology to ship it.
Great teaching is full of judgment calls: when to show a worked example, when to make the learner produce, when to let them struggle, when to step in. Your job is to encode that judgment into products and into the systems that generate learning experiences at scale, so the quality of the best human teaching survives being automated.
What you will do
- Design learning experiences — practice tasks, explanations, feedback, assessments — grounded in how people actually acquire skills, and build them into the product
- Translate pedagogy into specifications AI systems can execute: what a good lesson does, what a good feedback message contains, what a learner should produce and how it's judged
- Set and hold the quality bar for AI-generated teaching content: review it, define what "good" means mechanically, and build the checks that enforce it without a human in every loop
- Prototype quickly with AI tools — you'll build working learning experiences yourself, not hand off requirement docs
- Work with learners directly: watch sessions, run pilots, and turn what you observe into the next iteration
- Work directly with the founding team, including Andrew, on what good teaching looks like in this product
What you bring
- Real teaching experience — you have taught people a skill (classroom, corporate training, coaching, course creation) and can articulate what worked and why
- In-depth knowledge of instructional design and learning-science fundamentals (retrieval practice, worked examples, feedback, cognitive load) and a record of applying them, not just citing them
- Hands-on builder: comfortable with modern AI tools and light engineering (Python or JavaScript, prompt design, quick prototypes); you ship things learners touch
- Demonstrated ability to create interactive, applied learning experiences — evidence over credentials
- Excellent writing; you can author and edit high-quality learning content in English
Nice to haves
- Experience designing for adult professional learners or workplace upskilling
- Experience building with LLMs: prompt pipelines, generated content with quality gates, AI feedback on learner work
- Background in assessment design — rubrics, performance tasks, mastery measurement
- Experience in marketing, business, or another applied professional domain we may teach
What success looks like
In your first 30 days, you will have shipped a learning experience to real learners and instrumented it well enough to know whether it taught anything.
In your first 6 months, the product's core learning experiences will carry your fingerprints — and the standards you've encoded will be enforced by systems, so quality holds as content scales beyond what any one person can review.
Equal opportunity
LearnVector is committed to a workplace of mutual respect and equal opportunity. We hire based on qualifications, merit, and business needs, and do not discriminate on the basis of any characteristic protected by applicable law.
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
- Real teaching experience, including classroom teaching, corporate training, coaching, or course creation
- In-depth knowledge of instructional design and learning-science fundamentals, including retrieval practice, worked examples, feedback, and cognitive load
- Hands-on experience with modern AI tools and light engineering using Python or JavaScript, prompt design, and rapid prototyping
- Demonstrated ability to create interactive, applied learning experiences
- Excellent English writing skills and ability to author and edit high-quality learning content
- Experience designing for adult professional learners or workplace upskilling
- Experience building with LLMs, including prompt pipelines, generated-content quality gates, or AI feedback on learner work
- Background in assessment design, including rubrics, performance tasks, or mastery measurement
- Experience in marketing, business, or another applied professional domain
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.
