Afresh

Backend Engineer

Ontario, Canada

Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Food & Beverage, Retail Technology, Data InfrastructureIndustries

Position Overview

  • Location Type: Remote
  • Employment Type: Full-time
  • Salary: Not specified

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!

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.

Responsibilities

  • 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

  • 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.

Skills

Data pipelines
API optimization
Data architecture
Data retrieval
Performance optimization
Cross-functional collaboration

Afresh

AI solutions for fresh food inventory management

About Afresh

Afresh Technologies provides solutions for grocery retailers to improve their inventory management in the fresh food supply chain. Their platform uses machine learning algorithms to help retailers reduce food waste and increase profitability by optimizing how they manage their stock. Retailers subscribe to Afresh's service, gaining access to its features and potentially additional services like data analytics and consulting. What sets Afresh apart from competitors is its specific focus on the fresh food sector and its commitment to helping retailers meet consumer demand while minimizing waste. The company's goal is to enhance the efficiency of fresh food management in retail.

33 New Montgomery St, San Francisco, CA 94105, USAHeadquarters
2017Year Founded
$147.8MTotal Funding
SERIES_BCompany Stage
Food & Agriculture, Enterprise Software, AI & Machine LearningIndustries
51-200Employees

Benefits

Comprehensive health plans
Competitive compensation
Generous parental leave
Equity packages
401(k) matching
Flexible vacation policy
Monthly grocery stipend
Professional development program

Risks

Tech giants entering AI supply chain space threaten Afresh's market share.
AI advancements may render Afresh's platform obsolete if not updated.
Data privacy regulations could hinder Afresh's data collection and usage.

Differentiation

Afresh uses AI to optimize fresh produce inventory management for retailers.
The platform minimizes waste and maximizes freshness through advanced machine learning.
Afresh offers a subscription model, providing continuous access to its AI-driven solutions.

Upsides

Growing demand for AI in supply chain boosts Afresh's market potential.
Retailers seek sustainable solutions, aligning with Afresh's waste-reduction mission.
Omnichannel retailing increases need for sophisticated inventory systems like Afresh's.

Land your dream remote job 3x faster with AI