Weekday AI
This role is for one of the Weekday's clients
Salary range: $150K - $210K & 0.50% - 1.00% equity
Experience: 1-4+ YoE
We are building
self-improving software — AI that continuously creates and tests new in-app experiences . Our mission is to automate the end-to-end process of generating and experimenting with product flows, starting with onboarding for consumer apps and expanding to experiences across the user journey. We work with some of the
largest and fastest-growing consumer apps , already serving millions of users daily. Backed by top investors including Y Combinator, Gradient, and leaders from Uber, OpenAI, Meta, and more, we’ve raised over
$5M
to bring this vision to life. About the Role — Founding Full-Stack Engineer
As a
Founding Full-Stack Engineer , you’ll be instrumental in designing, building, and scaling AI-driven products that reach millions of users. You’ll work directly with the founders, integrate cutting-edge AI models into real products, and own features end-to-end — from concept to deployment. This is a
full-time, in-person role based in San Francisco
(Mon-Sat). US work authorization is required, but O-1 visa sponsorship is possible for exceptional candidates. What You’ll Do
Build an
AI-powered paywall editor
used by millions of users daily — from the Next.js front-end to a high-performance Python backend. Integrate the latest
AI models, APIs, and tools
to enhance generation performance. Write and deploy
Python services
capable of handling thousands of global requests per second. Collaborate closely with founders and customers to design, implement, and deliver impactful features. Wear multiple hats in a
fast-paced, high-ownership startup environment . What We’re Looking For
1-4+ years of engineering experience
with a strong track record of shipping real products. Solid
full-stack skills
— comfortable working across backend (Python) and frontend (React/Next.js) codebases. Strong
problem-solving abilities
— able to break down ambiguous problems into clear solutions. Experience building
user-facing products
and working directly with customers. Ability to
own features end-to-end , from quick specs to testing and deployment. Excellent
cross-functional communication
skills. Bonus Points
Experience integrating
ML/AI/LLMs
into applications. Background with
design tools, chat experiences , or creative coding platforms. Prior
startup or founding team experience . Mobile engineering expertise (Swift, Flutter, Expo). ️ This Role May Not Be a Fit If
You need highly structured requirements and dislike ambiguity. You prefer to work on only one part of the stack. You have no experience with systems involving many moving parts. Our Tech Stack
Frontend : Next.js (React/Typescript), Zustand, Tailwind/Shadcn Backend : Python, Fly.io, Supabase Mobile : Swift, Flutter, Expo Some of the Challenges You’ll Tackle
Reinforcement learning for personalization
— dynamically optimizing prices, paywalls, and user experiences. Automated A/B testing
— systems that select and run new experiments based on analytics + AI code generation. AI-driven editor
— tools for rapidly creating and improving paywall experiences. Billion-scale content serving
— Python services handling thousands of QPS for millions of mobile devices. Mobile webview optimization
— creating native-like performance across multiple mobile stacks.
#J-18808-Ljbffr
We are building
self-improving software — AI that continuously creates and tests new in-app experiences . Our mission is to automate the end-to-end process of generating and experimenting with product flows, starting with onboarding for consumer apps and expanding to experiences across the user journey. We work with some of the
largest and fastest-growing consumer apps , already serving millions of users daily. Backed by top investors including Y Combinator, Gradient, and leaders from Uber, OpenAI, Meta, and more, we’ve raised over
$5M
to bring this vision to life. About the Role — Founding Full-Stack Engineer
As a
Founding Full-Stack Engineer , you’ll be instrumental in designing, building, and scaling AI-driven products that reach millions of users. You’ll work directly with the founders, integrate cutting-edge AI models into real products, and own features end-to-end — from concept to deployment. This is a
full-time, in-person role based in San Francisco
(Mon-Sat). US work authorization is required, but O-1 visa sponsorship is possible for exceptional candidates. What You’ll Do
Build an
AI-powered paywall editor
used by millions of users daily — from the Next.js front-end to a high-performance Python backend. Integrate the latest
AI models, APIs, and tools
to enhance generation performance. Write and deploy
Python services
capable of handling thousands of global requests per second. Collaborate closely with founders and customers to design, implement, and deliver impactful features. Wear multiple hats in a
fast-paced, high-ownership startup environment . What We’re Looking For
1-4+ years of engineering experience
with a strong track record of shipping real products. Solid
full-stack skills
— comfortable working across backend (Python) and frontend (React/Next.js) codebases. Strong
problem-solving abilities
— able to break down ambiguous problems into clear solutions. Experience building
user-facing products
and working directly with customers. Ability to
own features end-to-end , from quick specs to testing and deployment. Excellent
cross-functional communication
skills. Bonus Points
Experience integrating
ML/AI/LLMs
into applications. Background with
design tools, chat experiences , or creative coding platforms. Prior
startup or founding team experience . Mobile engineering expertise (Swift, Flutter, Expo). ️ This Role May Not Be a Fit If
You need highly structured requirements and dislike ambiguity. You prefer to work on only one part of the stack. You have no experience with systems involving many moving parts. Our Tech Stack
Frontend : Next.js (React/Typescript), Zustand, Tailwind/Shadcn Backend : Python, Fly.io, Supabase Mobile : Swift, Flutter, Expo Some of the Challenges You’ll Tackle
Reinforcement learning for personalization
— dynamically optimizing prices, paywalls, and user experiences. Automated A/B testing
— systems that select and run new experiments based on analytics + AI code generation. AI-driven editor
— tools for rapidly creating and improving paywall experiences. Billion-scale content serving
— Python services handling thousands of QPS for millions of mobile devices. Mobile webview optimization
— creating native-like performance across multiple mobile stacks.
#J-18808-Ljbffr