Backend Engineer: Resale Intelligence

Join Archive in our mission to change consumer behavior for the better. If you think humans buy too much stuff and throw too much away, then this problem is for you.

We’re starting with fashion and expanding from there.

Is this your next job Read the full description below to find out, and do not hesitate to make an application.

Archive is building an operating system for resale’ that delivers a customized online secondhand marketplace site and the underlying infrastructure and operations to plug into all of the other facets of a brand’s global resale strategy.

This role offers the challenge of building highly scalable backend services that unlock deep insights for our customers about the full lifecycle of their goods.

Help us build out the resale intelligence layer of our platform to keep these goods in use for longer.

About The Role

• Design and implement services for our platform that include tools to identify and prepare items for resale, fulfill and support customer orders, handling everything from GraphQL action handlers to 3rd party integrations.
• Expand and grow our resale intelligence capability to turn rich data into actionable intelligence and optimize profitability of our clients.
• Work closely with our brand success teams and logistics partners to deliver core Archive product features that power resale operations.
• Provide data and analytical support for brand success initiatives.

About You

• You love working with data and solving complex problems with elegant solutions using code.
• You take a principled, but pragmatic, approach to code and quality assurance.
• You are self-directed and do not shy away from unique, under-defined problems.
• You have excellent communication skills and can collaborate effectively in teams of technical and non-technical individuals.
• You are mission-driven and love the fact that the better we do as a company, the less waste we’ll see in the world.

Skills / Experience

• Experience building and shipping performant, scalable services to real users.
• Ability to balance upfront data model & architectural complexity with moving to ship quickly.
• Proficient with programming languages such as Typescript, Python, Java, or equivalent.
• Hands-on experience with SQL.
• Bonus : Proficiency working with large datasets using modern data languages and libraries (e.g. SQL, Python, Pandas, iPython Notebook).
• Bonus : Experience in GraphQL from React-based client applications.
• Bonus : Prior experience in a technical, customer-facing role.

Our Stack

• Frontend : Next.js + React + Redux + Apollo Client (Typescript), Firebase Auth.
• Backend : NodeJS (Typescript), Hasura GraphQL Engine, Python.
• Database : PostgreSQL.
• Infrastructure : AWS, Terraform, Vercel.
• Collaboration : Github, Linear, Notion, Slack.

Archive is a Series A startup backed by top-tier investors including Lightspeed and Bain Capital. We’re a fast-growing team, working with over 30 brands including The North Face and Oscar De La Renta.

The founders, Emily and Ryan, bring a mix of business and technology experience including 2 startups and a successful exit.

We are honored to be named one of The Information's 50 Most Promising Startups of 2022. To build the list, The Information selected 50 companies that have the potential to be the most valuable businesses in their categories based on their current revenue, business model, and growth prospects.

The team is currently remote-first with a hub office in NY and optional in-person work for those located in the area. Occasional travel expected.

We consider applicants of all backgrounds. If you are excited about what we’re building but don't meet some of the criteria above, please don’t let that discourage you from applying.

Please note, we are unable to accept applications from candidates outside of the US at this time.

The expected annual base salary range for this position is $175,000 - $225,000. Compensation varies based on a variety of factors which include (but aren’t limited to) such as role level, skills and competencies, qualifications, knowledge, location, and experience.

In addition to base pay, certain roles are also eligible for equity.

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