Company Overview
F&F is a locally operated meal service providing fully-prepared meals across Rhode Island, Massachusetts, New York, New Jersey, Connecticut, New Hampshire, and Maine.
Established in 2016 by Maggie Pearson, a former personal chef, F&F was founded on the principle that everyone deserves nutritious, home-cooked meals made with fresh ingredients—without sacrificing quality for convenience.
What You’ll Do
At F&F, we’ve built our Tech backend from the ground up to provide a seamless, highly customized experience for our members while fully integrating with and supporting internal team operations. As part of our lean Tech team in a non-tech business, you’ll primarily focus on both internal and external projects, introducing new features and functionality.
Recent projects include:
- Developing a suite of tools to enhance order forecasting and support kitchen and logistics operations.
- Implementing layers of customization for a more personalized menu ordering experience.
What We’re Looking For
- 10+ years of experience with Object-Oriented Programming (OOP) languages and modern JavaScript frameworks like Vue.js, AngularJS, or React.
- Preferred experience with PHP/Laravel, MySQL, and Vue.js—knowledge of Inertia.js is a plus.
- Strong understanding of MVC architecture.
- Expertise in database design, with the ability to build efficient schemas and optimize queries.
- Experience developing consumer-facing products that create a delightful user experience.
- Intellectual curiosity and a strategic mindset for anticipating design implications.
- Hands-on, action-oriented approach—ready to contribute code from day one.
- Adaptability and resilience, with the ability to manage multiple inbound communication channels from internal teams.
- Familiarity with AI-driven technologies, such as machine learning APIs, natural language processing, or automation tools, with a willingness to explore their potential for enhancing user experience and operational efficiency.
- Ability to weigh trade-offs between speed and perfection when making technical decisions.
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