Staff iOS Engineer, Neighborhoods

Block•Bay Area, CA, United States of America, CA

21h•$263,600 - $395,400•Remote

About The Position

Launched in October 2025, Neighborhoods is a new network between Cash App and Square that gives local businesses the ability to offer online ordering with the power of a mobile app. Sellers get their own branded storefront, accessible on both web and inside Cash App. Customers can seamlessly order ahead, reorder, earn rewards and stay connected to support the businesses they love. With 4 million sellers using Square and 57 million monthly active accounts on Cash App, we have a unique opportunity to connect local sellers and local customers in their area. Learn more about Neighborhoods in the 2025 Fall Square Release announcement. As a staff iOS engineer on the Neighborhoods team, you will help bring the vision of the neighborhood network to life. You will guide the technical direction for Neighborhoods mobile experiences across Cash App and Square Point of Sale, connecting product strategy to durable mobile architecture while staying hands-on with the systems and features that help customers discover and support local businesses. You will lead complex cross-organizational technical decisions with teams across Square and Cash App, build alignment with senior engineering and product partners, and help engineers across partner teams deliver reliable, high-quality product experiences. We are a small, collaborative and remote-friendly team. We believe in people over process, value authenticity and openness, and have a bias for action. Come join us!

Requirements

12+ years of relevant experience with iOS engineering design and implementation, including deep Swift and Objective-C experience
Experience guiding iOS architecture with organizational impact, including unidirectional data flow, declarative UI frameworks, and scalable mobile patterns
Experience leading strategic, complex mobile product or platform initiatives with organizational impact, from ambiguous problem framing through delivery, including applying AI tools thoughtfully to improve engineering speed, quality, and learning
Proven ability to drive collaboration across team, organizational, and discipline boundaries to deliver remarkable solutions to customers
Track record shaping organizational technical direction, rallying teams around long-term architecture and product strategy, and mentoring engineers to expand their scope and impact

Responsibilities

Guide Neighborhoods mobile technical direction across Cash App and Square
Lead strategic, cross-organizational mobile workstreams within a company-level initiative to redefine local commerce and connect the Square and Cash App ecosystems
Drive cross-organizational architecture and execution with teams across Square and Cash App to deliver seamless integration of Neighborhoods loyalty, marketing, and ordering features in Cash App running on Square’s platform
Guide the architecture of mobile systems that connect customer discovery in Cash App with seller ordering and fulfillment workflows in Square Point of Sale
Stay hands-on in iOS development using SwiftUI, Workflow, and related technologies across the Square Point of Sale and Cash App codebases, making architectural tradeoffs that keep mobile experiences reliable, scalable, and polished
Partner with backend, web, and Android engineers to ship features with a focus on quality and craft, while mentoring engineers and raising technical standards across the team and partner teams
Work cross-functionally with product managers, designers, and engineering leaders to define product scope, sequence ambiguous cross-team work, and make clear technical and product tradeoffs
Lead as an AI-native product engineer
Use AI tools as a native part of feature development: exploring unfamiliar codebases, prototyping product ideas, accelerating implementation, generating tests, improving observability, and tightening documentation
Identify, teach, and scale practical AI-assisted workflows for product engineering, especially in cross-codebase feature work, migration, debugging, QA, experimentation, and rapid iteration
Apply strong judgment around AI-generated work: verify behavior, protect customer trust, preserve maintainability, and use AI to raise the team’s technical bar
Model how a staff engineer uses AI to multiply impact without losing product taste, architectural ownership, or accountability for the systems we ship