Forage builds payment technology to increase online access to government benefits.

Every year, the US government distributes over a $1 trillion worth of benefits through specialized payment networks. We want to move that spend online through a unified API.

Our first product offering helps low-income Americans buy online groceries. 42M Americans rely on their EBT cards (formerly known as ”food stamps”) to buy groceries, and our technology helps them purchase online groceries. Specifically, we sell software solutions to online grocery retailers that help them accept EBT cards at checkout. Our payments API and team of EBT experts provide the easiest path for them to access 42 million shoppers and $120B of food purchases.

About Us:

Forage is a mission-driven payments company that is helping merchants accept government benefits through a single, unified API. Today, over 42 million Americans receive government assistance (ex: Supplemental Nutrition Assistance Program, or SNAP) to buy groceries.

Starting with enabling EBT SNAP online, Forage builds the financial infrastructure empowering merchants of all shapes and sizes to serve these shoppers online.

We function as a hybrid organization, actively hiring across North America. While we embrace remote work, we prioritize candidates who can contribute from our San Francisco office.

What we are looking for:

We’re looking for our first data hire, someone who can think strategically, but also can grow into a hands-on executor. We want someone who will shape the data architecture at Forage and is able to arm all departments with data-driven decision making capabilities. 

Key Job Responsibilities:

• Support the design and implementation of the  company’s data pipeline and ETL processes, ensuring data flows efficiently and reliably from source systems to final storage.
• Collaborate with engineering, product, and business teams to empower them to make data-driven decisions.
• Evaluate and recommend data infrastructure and analytics tools to support ongoing analysis and reporting needs.
• Develop, test, and optimize SQL and other queries to generate reports and dashboards that drive actionable insights.

Basic Qualifications:

• 3-5 years experience in Business Intelligence Engineering, Data Engineering or Data Analysis, and analyzing large datasets to solve problems
• Experience running large independent data projects
• Strong experience with SQL
• Hands-on experience with data visualization tools (e.g. Looker, Tableau)
• Understanding of data pipeline design 
• Ability to work cross-functionally with operations, project management and engineering teams

Preferred Qualifications:

• Familiarity with Python
• Familiarity with AWS cloud data infrastructure tooling
• Building Data Pipelines
• Prior experience at a growth stage software company
• Fintech background

Our Offer:

• Your base salary would fall within the bands below. Please keep in mind that the equity portion of your offer is not included in these numbers and represents a significant part of your total compensation.
  • Compensation:$95k-$130k USD base + equity + benefits
  • Meaningful work that makes a positive impact on our society.
  • 100% of Medical, Dental and Vision premium coverage for yourself and dependents. 
  • A remote-first work environment with opportunity for onsite meetings.
  • A fun and caring environment that prioritizes transparency, growth, and ownership.
  • A talented, diverse, high-achieving, and humble team with diverse backgrounds and viewpoints.

Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries at our headquarters in San Francisco, California. Individual pay is determined by work location, job-related skills, experience, and relevant education or training.

Modern protocols built on top of old financial protocols.