Standard AI · 1 day ago
Staff Backend Engineer (REMOTE)
Standard AI is a U.S.-based technology company that empowers retailers to decode shopper behavior and drive growth through their VISION Analytics Platform. They are seeking a Staff Backend Engineer to act as a technical anchor for their computer vision analytics platform, collaborating with various teams to design resilient microservices and build data models for real-time retail insights.
Artificial Intelligence (AI)RetailRetail TechnologyShoppingSoftware
Responsibilities
Act as a technical lead by making critical architectural decisions, setting engineering standards, and removing roadblocks to ensure the delivery of high-quality, scalable solutions
Design and implement the services, jobs, and APIs that support both our internal and external product suites
Build and deploy solutions for monitoring, tracing, and debugging services in production to ensure our code remains scalable and reliable
Iterate quickly on experimental systems to solve real user problems
Proactively identify and eliminate performance bottlenecks in our services
Elevate the entire engineering organization by mentoring junior engineers and establishing best practices for cloud-based microservices
Qualification
Required
8+ years of experience in backend focused engineering roles (or equivalent)
Experience in Python (or similar) with extensive experience building services, REST APIs, message queues
Designed schemas using a range of data stores (SQL, BigQuery, in-memory, etc), and can evaluate the tradeoffs between them effectively
Experience with cloud platforms and cloud based services (we use GCP)
Solve complex problems efficiently - sometimes by writing code, but also by knowing when not to write code
Take pride in 'elegant' architecture that is as maintainable as it is scalable, and ensure quality through automated testing and rigorous monitoring
Enjoy making others better through thoughtful code reviews and high-level design discussions
Company
Standard AI
Retailers today face some of the toughest challenges in physical stores — from tracking shopper behavior to optimizing promotions and in-store media.
Funding
Current Stage
Growth StageTotal Funding
$239.38MKey Investors
SoftBank Vision FundEQT VenturesInitialized Capital
2024-04-08Secondary Market
2021-08-10Series C· $0.9M
2021-02-17Series C· $150M
Recent News
2026-01-11
Retail Technology Innovation Hub
2025-12-04
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