Salary / Hourly Rate: $120,000 - $200,000 per year
Benefits: Offers Equity,Opportunity to shape core architecture and product strategy,Mercury credit card issued to everyone for work related expenses
Role Information
Role Overview: N/A
Responsibilities: Build and scale core product features for persona driven content AI, Design, develop, and deploy backend services and AI pipelines, Collaborate with product and leadership to refine product direction, Ensure high-performance and reliability in production systems, Iterate quickly based on customer feedback and internal research
Qualifications: Strong expertise in backend engineering (Node/Python/Go or similar), Comfortable with deploying scalable cloud infrastructure (AWS / GCP / Azure), Familiarity with LLMs and AI integration, Problem-solving focus with a bias toward execution, Experience building AI-SaaS products, Prior startup or YC experience, Familiarity with data pipelines or content automation, Junior: contributes to small or function-specific projects, Intermediate: owns small to medium sized projects, Senior: owns and drives large projects or a whole product, decides what needs to happen and does everything necessary to get that done, Learning: Starting to match expectations., Established: Matching expectations consistently., Thriving: Exceeding expectations consistently.
Minimum Requirements: You must love talking to customers and translating their feedback to product updates,You must have built full stack application from 0 to 1, owning the entire product,You must be proficient in our tech stack (Nextjs, TailwindCSS, Typescript, Vercel, Supabase, LangGraph, Python, Git) (bonus point for LangGraph),You must be familiar with GitFlow branching strategy,You must write clean and maintainable code,You must have taste and opinion on what a great UI looks like,0-5 years of experience
Screening Questions: This step is completely optional. If you’d like, record a short 2–3 minute video introducing yourself and your experience — or share a recording of your interview with the recruiter if that’s easier. You can upload the link via Loom or Google Drive. This just helps us get to know you better, but there’s no pressure if you’d prefer to skip it.,If available, please share links to your LinkedIn, GitHub, Twitter/X, portfolio, personal website, demos, writing, talks, or other proof (tweets, papers, etc.), or any recent projects you’ve worked on. This helps provide more context about your work.,Tell me about a time you owned a core feature from idea to production in an early-stage environment.,Why do you want to work at ImagineAI?
Company Information
About Company: N/A
Culture: N/A
Additional Information
Interview Process: We will invite you to Slack, Github, Vercel before you arrive, You will have to set up your code environment and adapt to the task as quickly as possible, ideally also before you arrive, You will spend most of the time to focus on the task, We will have food together and get to know each other on a personal level
Day to day: You will be one of our first few hires at Imagine AI, which means you will have a huge responsibility and impact in our business. We expect you to own the entire tech stack from end to end and start contributing immediately.You will join customer calls, talk to them directly, and build features into our product immediately. You will also live on slack and provide customer support directly to our customers. This means if you are excited about owning the entire product lifecycle, you should come work with us! You will see your effort being reflected in our revenue curve directly!
Team: The role reports directly to the founders.Sky Yang is the Co-founder & CEO of Imagine AI. Before Imagine AI, Sky was the youngest-ever elected Student Body President at UC San Diego, where he led 32,000 students and successfully raised $150M for university infrastructure improvement. He also founded the nonprofit Break the Outbreak, scaling it to a 400-person organization operating in 53 cities/18 States. His expertise lies in building communities and mobilizing resources to solve critical bottlenecks— now he help B2B companies scale.Neo Lee is the Co-founder & CTO of Imagine AI. He is a researcher in Mathematics and Artificial Intelligence from UC Berkeley, where his work focused on LLM interpretability and non-cooperative stochastic games.
Growth: Keep growing and keep being challengedEvery 6 months, we will try to give everyone a new role. It doesn’t mean going from say a salesperson to an engineer, but rather like owning a bigger scope of work, taking more challenging responsibilities that push you to learn and grow. We will try to ask you where you want to be in your career in the next 2-3 years, and we will work with you to put together a plan, helping you get the skills and experience you need, and guide you on a course to get there.OwnershipWe like people who have ownership over your domain, if the project is assigned to you, then you should be the owner of such project unless stated otherwise. Proactive ownership is extremely important, what it means is you should be actively working on projects you picked up and depends on the order of importance, making sure it goes through. If no one puts their hand up because it’s tricky/not obvious/everyone is super busy, the relevant people that touch the thing should decide between them.
Ideal Candidate Profile: Proven ability to build and ship products from 0→1 with real ownership., Strong backend engineering skills (Python, Node.js, Go, or similar)., Experience designing scalable systems in AWS, GCP, or similar cloud environments., Comfortable building APIs, data pipelines, and production-ready services., Familiarity with LLM integration, prompt engineering, or retrieval-based systems., Makes pragmatic architectural tradeoffs in fast-moving startup environments., Operates with urgency and a strong bias toward action., Comfortable working in ambiguity without heavy structure or detailed specs., Thinks beyond code — considers user value, product impact, and business outcomes., Motivated by ownership, autonomy, and long-term equity upside.
