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About Wist:
Wist is a stealth consumer AI startup on a mission to build our generations personal AI co-pilot.
An assistant that blurs the line between digital and real life we can book anything for you while helping you forge deeper connections IRL.
Were starting with dating because its the clearest highest-pain-point wedge to learn who you are and rapidly expand into every facet of your social relationships.
In 10 days our Stanford team raised a 7-figure pre-seed round not just for a better dating app but because this is a once-in-a-generation social data play built on understanding and trust.
We move at breakneck speed. If you arent shipping features faster than your coffee cools we might not be a fit.
About the Role:
Join Wist as a Founding Engineer and supercharge your career by 23 years in just months. Youll be one of the first founding technical hires working shoulder-to-shoulder with our CTO.
Career rocket fuel:
You will be a top 0.01% expert in AI
Youll architect everything from backend infrastructure secure data pipelines AI features/functionality to core app development. Few roles let you move from databases to front-end in a single sprint.
Master the art of building a startup from day one.
From fundraising to finding PMF preparing for hyper-growth and iterating on user feedback youll own the technical vision and learn every step that turns a prototype into magic.
Own equity drive architecture and build your dream team.
As an early engineer youll hold meaningful equity co-define Wists entire tech stack and recruit and mentor future engineers. If you want to lead a 10 person engineering org within months this is your fast lane.
If any of this sounds like where you want to take your career lets meet.
What Youll Do:
Own Python (FastAPI) APIs ML/LLM integrations React/TypeScript front-ends and secure data pipelines
Scale systems efficiently and reliably
Shape product & architecture alongside our CTO
Why Youre A Fit:
Passion for consumer-tech and/or social apps that truly delight users
Ship fast and fix things even faster
Have experience building full-stack systems spanning backend frontend and data infrastructure
Deployed ML models or integrated LLMs into real products
Comfortable scaling systems across performance reliability and infrastructure dimensions
You Must Have:
Education in Computer Science Engineering or related
Experience in full stack software engineering with AI/ML
Flexible opinions on tech stack and are eager to learn quickly
Company Perks:
Sick office in the heart of SF (trust us its jaw dropping)
Free lunches and bougie espresso machine in office
Team retreats happy hours and dinners
Compensation & Benefits:
Base salary: $90k $120k
Real Equity
If youre ready to roll up your sleeves and build something new at the intersection of AI and real human connection email
Full-Time