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Overview
Senior

Senior Mobile Software Engineer | On-site | Seattle

Confirmed live in the last 24 hours

Grid

Grid

Compensation

$120k - $200k/per-year-salary

Seattle, Washington
On-site
Posted March 13, 2025

Job Description

About us
Today's financial system is built to favor those with money. Grid's mission is to level that playing field by building financial products that help users better manage their financial future. The Grid app lets users access cash, build credit, spend money, optimize their paychecks, pay their taxes, and lots, lots more.

Grid is a fast-growing team that's deeply passionate about making a difference in the lives of millions. We're solving huge problems and believe that every team member has a big role to play. Come join our growing team in our downtown Seattle office!

 
The role
We're adding a product engineer to our team to help us build and scale our mobile UX end-to-end. You'll work closely with product, engineering and business leaders to create magical experiences. With access to AI tools, modern CI infrastructure, multiple robust datasets, products, and clear objectives, you'll have a significant impact on Grid's progress as a business—as well as our users' happiness and success.
 
The team
We're focused on serving our users and building a robust business above all else. To this end, Grid's team members experience high levels of autonomy and ownership, and as a company we value curiosity, learning and growth.
 

Our product and engineering team takes an analytical approach, utilizing a variety of high fidelity data sources for rapid decision making and product iteration.
## The tech stack
Grid's is built with native mobile apps, a Golang backend and a modern data pipeline built on BigQuery and Chalk.ai. Our mobile stack is currently based on SwiftUI+UIKit, Kotlin+Jetpack, protobufs and type-safe Firestore.

Our platform has been built from the ground up to optimize for clean analytics and data-driven experiences. We have made numerous investments into data warehousing, streaming analytics infrastructure and observability.

We leverage AI aggressively throughout the stack — from development toolchains to data analytics to production feature development. We have immediate plans to 10x our agentic development workflows, enabling AI-native software development, planning to rollout.

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