Senior Product Engineer - Insider - Backend or Fullstack

About this Role:

Independent retailers compete with big-box chains on price every day, and losing on landed cost is how they lose a customer for good. Faire's Insider pod owns the membership program that keeps that from happening — free shipping, exclusive discounts, and benefits that make Faire the obvious place for our best retailers to keep buying.

As a Senior Engineer, you'll own the systems that make that promise real: free-shipping coverage, discount targeting, enrollment and activation, and the lifecycle logic that keeps reminding retailers why they joined. When a retailer sees a discount at checkout or gets nudged to renew, that's your code deciding what they see and when.

You're excited about this role because…

• You want to see your code show up directly in what a retailer pays and how they shop, not buried three systems deep
• You're energized by experimentation — you'd rather ship a test and read the data than debate in a room
• You like owning a domain end to end: backend services, the metrics that measure them, and the roadmap that improves them
• You want your work to matter to small business owners, not just to a dashboard

What You'll Do:

• Own core services in our Kotlin backend that power free-shipping coverage, discount delivery, and the Insider lifecycle
• Partner with Data Science, Product, and Design to prototype and ship improvements to the membership experience
• Run experiments that move active Insiders, GMV per Insider, and enrollment rate — and use the results to decide what to build next
• Make sure Insider value shows up everywhere it should: cart, checkout, discovery, and after the order ships
• Mentor engineers and raise the bar on design reviews, performance, and architecture

We’re Excited About You Because You Have:

• Experience: 5+ years in backend systems, with marketplace a nice to have
• Technical Depth: Proficiency in Kotlin, Java, or similar object-oriented languages; comfort with distributed systems, service design, and performance optimization.
• Data Fluency: Experience integrating with ML-driven decision systems, experimentation frameworks, or real-time data pipelines
• Collaboration: Strong communication skills and a track record of partnering with cross-functional stakeholders, from DS to PM, to deliver complex systems.
• Mindset: Curiosity and a drive to understand complex market dynamics; passion for applying data and algorithms to real-world business problems.
• Education: Bachelor’s degree in Computer Science/Engineering or equivalent industry experience.

Technologies We Use and Teach:

• Kotlin, Java, Python
• JUnit, Hibernate, Guice, Jersey
• HTTP, JSON, Protocol Buffers
• MySQL, CockroachDB, Elasticsearch
• AWS

Salary range:

Canada: the pay range for this role is $156,000 - $214,500 per year.

This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.