Sans
Full Stack Software Engineer
Culver City, California, United States · Full-time
Sponsorship not specified$130k-$160kDetected 8 days ago
TypeScriptReactNext.jsReact NativeFull-Stack DevelopmentVector DatabasesDockerMachine LearningProduct ManagementProduct StrategyShopifyLeadershipCommunicationTime Management
About the role
- This role spans our Shopify Hydrogen storefront, several Next.js applications, and a growing set of internal AI tools.
- This role will report to the Director of E-Commerce & work closely with them on product direction and will also work directly with the CEO on technical priorities.
- The work is hands-on, fast-moving, and highly visible.
Responsibilities
- The Full Stack Engineer will build the software that powers both the customer experience and the internal systems behind Sans.
- You'll spot a problem, build the fix, and see the impact quickly.
Skills
- They should be excited by a wide range of problems, from storefront UX and conversion to data flows, AI features, and internal tools.
Compensation
- $130k-$160k
Benefits
- Hours and Compensation The anticipated base compensation range for this role will be $130,000 - $160,000 annually, plus discretionary bonus and equity.
Company info
- Sans is on a mission to build the next great consumer hardware brand, with a laser focus on products that help people live healthier lives at home.
- We started with a category-leading air purifier before expanding to a best-in-class countertop water purifier that actually works to eliminate harmful contaminants - and our product roadmap is just getting started.
- We're a small, ambitious team that believes deeply in our ability to create a meaningful consumer brand.
- We move fast, learn quickly, and consistently outperform much larger competitors.
Visa & Work Authorization
- nd prioritization skills Excitement for startups and building a company from the ground up Applicants must be currently authorized to work in the United States on a full-time basis
This listing is sourced directly from Sans's careers page and normalized into a canonical job model.