Staff Fullstack Engineer, Backend Focus (Wandy)

About the role

Wandy is a brand new, greenfield product inside Wand. Small team, high technical bar, fully AI-driven SDLC, and nothing about it has been announced publicly yet. Every engineer on the team is full-stack and ships all parts of the product end to end. We're hiring a backend-leaning full-stack engineer to own the backend and data layer of a greenfield, customer-facing product. This is genuine zero-to-one work: you'll make the core system-design calls, decide what to build and what to rethink, and then build it, with real architectural ownership rather than execution against a pre-set plan.

Responsibilities

• Own backend architecture end to end for a greenfield product: design the services, data model, and APIs from scratch, decide what to keep and what to rethink, then build it.
• Design data structures and system architecture for a customer-facing product built to scale, thinking through performance, reliability, and how the system behaves as usage grows.
• Build and maintain backend services and APIs (we lean Go and Node.js, but we care far more about your track record than an exact stack match).
• Contribute to the front-end as needed: every engineer here ships across the stack, so you should be comfortable building and reasoning about the UI even if backend is your focus.
• Take true end-to-end ownership: propose the approach, defend it, then build it, without waiting for someone else to set the direction.
• Build inside a fully AI-driven workflow, using tools like Claude Code as a core part of how you ship, not an occasional assist.
• Operate comfortably in a small, fast-moving, ambiguous environment where priorities shift and you're often defining the "how," not just executing a pre-set plan.

Requirements

• Strong backend fundamentals: databases, data structures, async programming, and system design, with the ability to make real architectural calls rather than implement someone else's design.
• Comfortable across the stack: solid front-end ability, even with backend as your focus, so you can ship a feature end to end.
• Real product sense: ideally built for real end users on a genuine customer-facing (B2C) product, with an understanding of how internet products actually work, not internal or B2B tooling only.
• Technology agnostic: you've worked across multiple stacks before and can pick up whatever this team needs. We care about your track record more than your specific stack.
• Genuine ownership: a history of starting things from zero, not just delivering on initiatives someone else already scoped.
• Startup experience, ideally somewhere genuinely chaotic: comfortable with shifting priorities and ambiguous ownership. If you've only worked inside companies with clean roadmaps and clearly defined scope, this probably isn't the right fit.
• Heavy, real fluency with AI coding tools (e.g. Claude Code): you build with AI as a core part of your workflow, not an occasional assist.

Preferred Experience

• Experience at a startup where you had to build something from scratch with little existing structure to lean on.
• Deep backend build experience (e.g. Go, Node.js, or similar), designing and scaling services and data layers.
• Comfortable on a small, high-caliber team with little process, ready to make architectural calls without a lot of hand-holding.
• Front-end depth on a customer-facing product, so you can flex toward the UI when the team needs it.

You would be joining a world-class team that combines deep research expertise and real-world product execution, with experience spanning Deepmind, Google, Amazon, Miro, Elise AI, IBM and Accern.