BetterBasket

What are you working on? BetterBasket is building the “Cursor for food & beverage” — AI systems that understand, explain, and run merchandising decisions for grocers, starting with pricing. Pricing in grocery is still driven by spreadsheets, gut feel, and fragmented data. We’re replacing that with systems that ingest competitive data, map products across retailers (including private label and fresh), model demand and substitution, and generate exact revenue and margin impacts for every decision — then execute. We’re already responsible for pricing billions of dollars of grocery items annually, working with leading retailers across North America and LatAm. From day one, you’ll work directly on production systems used by real operators making high-stakes decisions every week. BetterBasket is backed by Y Combinator, Aito Capital, and founders and executives from companies like YouTube, Uber, Amazon, Tesco, and Stubhub. Who should NOT apply You want to be fetching coffee or shadowing meetings all summer — you’ll ship real systems used in production by grocers making pricing decisions You want a scoped “intern project” with a final presentation — you’ll be working with real customers who have daily, urgent needs You want to spend your time reading and discussing research papers — you’ll be expected to turn the latest model releases into real-world value, quickly You want a structured intern program with events, career exploration, happy hours — we believe the best way to learn is to build and ship (but we do have Friday happy hours at the beer garden) What can I work on? You’ll work on core systems that power automated decision-making in grocery: How do we extract and normalize messy, unstructured data from hundreds of retailers into a unified product knowledge graph? How do we match products across retailers — including private label, fresh, and imperfect data — with high precision? How do we model demand, substitution, and elasticity to predict the impact of price and promotion changes? How do we turn recommendations into actions — automatically triggering and executing price changes? How do we build systems that explain why something happened in a store — and what to do next? What technologies do you use? Core Competencies Python (data systems, ML, concurrency) HTTP / REST APIs Javascript (Typescript, React, Node) SQL (query optimization, large-scale data handling) Cloud / DevOps (Azure, Kubernetes, Docker, Redis) Nice to Have Scraping (Scrapy, Selenium, Playwright) LLMs / agentic systems Data modeling / entity resolution Product design (Figma) Distributed systems / inference at scale

Why not BetterBasket? We don’t believe in wasting your time. Here are some reasons you should not apply: You are looking for a manager to be told what to do - how to fix a bug, the right approach for a problem, what’s next for your career. You will be accountable for your own work, but what is possible will be bound only by your ambition, ideas, and the $800bn grocery industry. You want a job with work-life balance. Recharging is essential, but we’re working on such exciting projects at the frontier of retail and AI (which our customers can’t wait to use!) that we can’t stop thinking about our next sprint. You question if things are “worth it” - if this job is worth the “opportunity cost” of a Big Tech salary, if grinding out a feature was worth a late night. You will be given everything needed to be comfortable and the upside of a founder, but we know exceptional things are only done with great sacrifice that compound over time. What are you working on? BetterBasket is developing the first fully integrated pricing solution for grocers, coming from our founders’ experience launching Uber Eats’ global grocery delivery platform. We’re working on everything from pricing algorithms to custom digital price tags in order to create a revolutionary product to transform the $800bn grocery industry. We’re already working with top 100 international grocers in North America and LatAm on dynamic pricing and market data, and from day one you’ll be working closely with leaders and subject matter experts at our customers on their top priorities. BetterBasket is backed by top investors like Y Combinator and Aito Capital as well as founders and C-suite executives at YouTube, Uber, Amazon, Tesco, and GoodRx. Our work environment is collaborative and inclusive, fostering growth and learning. If you’re eager to be part of a fast-moving, innovative team that values your development, we want you on our team. What technologies do you use? Core Competencies Python (ML libraries, concurrency) HTTP/REST API Javascript (Typescript, React, Node) SQL (Locks, Stored Procedures) Cloud / DevOps (Azure, Kubernetes, Docker, Redis) Nice to Have Product design (Figma) Inference at scale Scraping (Scrapy, Selenium) Wireless Communication Protocols What can I work on? BetterBasket is developing the first fully integrated pricing solution for grocers. Problems that you could work on as a hands-on founding engineer include but are not limited to: How can we extract and classify data at scale from online stores towards a centralized product knowledge graph? How can we maximize profits for a grocer by modeling competitive prices, historical sales data, elasticity estimates, and external variables? How can price changes be triggered and performed automatically? What’s the best way to summarize and present the results of our actions? What’s in it for me? Take ownership of products that will revolutionize the grocery industry Collaborate with a tight-knit team of talented builders Work closely with customers from day 1 and see the results of your work Launch products that directly impact people’s lives Work with the co-founders daily in-person in SF Competitive salary, equity, health insurance   If you’ve gotten this far and our culture and tech resonate with you, we want you to apply.