Senior Full Stack Software Engineer, Standard AI
$174-200k
Automated checkout technology
Job no longer available
Automated checkout technology
101-200 employees
Job no longer available
$174-200k
101-200 employees
Company mission
Standard AI's mission is to revolutionize the way the world shops.
Role
Who you are
- Have 5+ years of experience as a full-stack engineer with a focus on front-end development of complex software, in a team environment
- Have built and published user-friendly enterprise web applications using React with Typescript
- Are familiar with different design libraries and enjoy the challenge of building your own components
- Are collaborative and enjoy working with and mentoring other developers through code review and design discussions
- Have some experience designing and writing service code for specific APIs your applications need (we use Python, but if your experience is something else, that’s ok!) with a good understanding of SQL and other database technologies
What the job involves
- As a Generalist in Applications Engineering, you'll be a Full-stack Engineer responsible for building apps, tools, and interfaces that enable seamless interactions between retailers, shoppers, and internal users
- Working closely with backend and data engineers, you'll design and develop Web apps and APIs, collaborating with the product team to create exceptional customer experiences
- Build and refine web and mobile applications for a wide range of internal and external user roles
- Be a part of ensuring our application code is flexible, maintainable, testable, and reliable
- Quickly iterate and test experimental tools to solve real user problems
- Work closely with machine learning, design, product, and other teams to make sure we’re building the right tools and experiences for our users
- Join a small team of full-stack developers, be part of architectural decisions, learn from and teach your peers
Our take
Automated checkouts allow brick-and-mortar retailers to cut down substantially on labor costs, and for the majority of consumers they reportedly represent an attractive kind of queue-free, contactless shopping experience. So it’s no surprise that the race is on to develop a market-cornering solution. Standard AI is one startup throwing its hat into the ring.
Standard AI’s technology uses cameras, computer vision, and AI to track shopper activity and automatically log and process their purchases. This means all that’s required for installation are carefully positioned cameras and some onsite servers - this makes it competitively fast and accessible, especially for smaller retailers. Plus, whilst it’s not the only company using this approach, it’s the only one making a firm commitment to not using facial recognition technology. This could prove important as the technology is more broadly adopted.
Standard’s tech has so far, however, only been deployed in a handful of convenience stores. With momentum for cashierless checkouts growing, Standard will need to roll out faster to avoid being left behind. Startup competitors like Zippin and Grabango, for example, are already making impressive headway, and of course major competitors like Amazon and Walmart are beginning to dominate too.
Freddie
Company Specialist at Welcome to the Jungle
Insights
-4% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Feb 2021
$150m
SERIES C
Apr 2020
$2.4m
LATE VC
Total funding: $233m
Company benefits
- Work From (Almost) Anywhere: Our team currently works from three continents, and every employee receives a $750 stipend to support their home office needs
- Take Care of Yourself: Standard covers 100% of your Medical, Vision, Dental, and Life insurance
- Compensation that Adds Up: We offer competitive salaries with meaningful equity opportunities
- Time Off for What Matters: We go beyond the norm when it comes to company-wide holidays, giving everyone time off for important dates like Juneteenth
Company HQ
SoMa, San Francisco, CA
Leadership
Jordan Fisher
(Co-founder & CEO)With a doctorate in applied mathematics, subsequently served as the president of Pwnee Studios, and then the development branch chief at the U.S. Securities and Exchange Commission.
Brandon Ogle
(Co-founder & ML Engineer)Previously worked in quantitative strategies with Carter Bain Wealth Management, before moving into data science at Columbia University. Then contracted with the quantitative analytics unit at the U.S. Securities and Exchange Commission.
Daniel Fischetti
(Co-founder & Architect)A materials science graduate who worked as a software engineer at QUANTUMKDB, before taking up a consultancy position at First Derivatives.
TJ Lutz
(Co-founder)Originally founded TJ's Fitness Training, and then worked as VP of Pwnee Studios.
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