Afresh is on a mission to eliminate food waste and make fresh food accessible to all. Our first A.I.-powered solution optimizes ordering, forecasting, and store operations for fresh food departments in brick-and-mortar grocers. With our Fresh Operating System, regional and national grocery retailers have placed $1.6 billion in produce orders across the US and we've helped our partners prevent 34 million pounds of food from going to waste. Working at Afresh represents a one-of-a-kind opportunity to have massive social impact at scale by leveraging uncommonly impactful software – we hope you'll join us!

About the Role

The Product Engineering team at Afresh is responsible for building and maintaining the suite of products that our customers use every day. This includes solutions for individual store managers ordering groceries, corporate supervisors viewing store performance, and everything in between. Grocers rely on these solutions within Afresh’s Fresh Operating System to improve the accuracy and efficiency of their workflows, all contributing to our goal of reducing food waste. You will play a crucial role in building and optimizing the data infrastructure, data products and APIs that power these solutions. Our team and products are growing rapidly, providing excellent opportunities to learn and contribute to impactful projects. Some of your responsibilities will include:

Contributing to complex cross-functional projects focused on data pipelines and application performance.
Collaborating with Mobile, Machine Learning, Data Engineering, Analytics, Product Management, and Customer Support to ensure a high-quality customer experience, particularly around data accuracy and availability.
Building and maintaining our data pipelines with a focus on data retrieval and efficiency.
Contributing to the optimization of our APIs, data architecture, and infrastructure to support our growing customer base.
Contributing to and utilizing our analytics and monitoring/observability tools to understand system behavior and identify areas for optimization.
Collaborating with other engineering teams to implement improvements in process, practice, and engineering culture centered around strong data foundations.

Skills and Experience

The following represents attributes our ideal candidate possesses. We encourage all highly qualified candidates to apply, even if they do not fulfill all the listed criteria.

BS in Computer Science or equivalent experience
2+ years experience with data and backend experience
Experience contributing to complex projects as part of a team
Demonstrated experience in shipping high-quality code
Solid understanding of API development principles and good API design, with a focus on data efficiency.
Collaborative attitude and a willingness to learn and take direction.
Problem-solving skills with an interest in tackling challenging data-related issues.
Enjoys working in a fast-paced, startup environment.
Technologies: Familiarity with Python, SQL, GraphQL, PostgreSQL, and TypeScript preferred, with a strong interest in developing expertise in these areas, particularly around data manipulation and optimization. Experience with dbt is a plus.

Salary in CAD:

About Afresh

Founded in 2017, Afresh is working on the #1 solution to curb climate change: reducing food waste. By combining human insight and transformative technology, we're helping grocers provide fresher food to customers at more affordable prices.

Afresh sits at an incredible intersection of positive social impact, rocket ship financial growth, and cutting-edge technology. Our best-in-class AI research has been published in top journals including ICML, and we've raised over $148 million in funding from investors including former co-CEO of Whole Foods Market Walter Robb and Eric Schmidt's Innovation Endeavors.

Fresh is the past, present, and future of our food system – the waste we create today will impact our planet for years to come. Join us as we continue to build a vibrant, diverse, and inclusive team that embodies our company’s values of proactivity, kindness, candor, and humility.

Afresh provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity/expression, marital status, pregnancy or related condition, or any other basis protected by law.

Here at Afresh, many of our employees work remotely provided that they reside in one of the following states: AR, CA, CO, FL, GA, IL, KY, MA, MI, MT, MO, NV, NJ, NY, NC, OR, PA, TX, WA, WI. However, there may be key roles that will require a candidate/employee to be local to our San Francisco, CA office. In which case this requirement will be included in the job posting details under "Skills and experience" for reference.