Software Engineer, Fullstack​/Frontend Focus; Governance

Wand turns AI into labor. It enables humans and AI agents to operate together as a unified, hybrid workforce, with comprehensive management and oversight. And it's already operating at scale inside some of the world's largest organizations.

Wand turns AI into labor. It enables humans and AI agents to operate together as a unified, hybrid workforce, with comprehensive management and oversight. And it's already operating at scale inside some of the world's largest organizations.

Wand built the world's first Agentic Labor Infrastructure enabling governments and global enterprises to create, manage, and scale digital work forces.

Our mission is to integrate agent ecosystems into the core of work and business, unlocking a generational leap in the global economy. We're building the infrastructure that lets humans and AI agents operate together safely, transparently, and at scale.

Wand is building a high-performing global team who take full ownership of what they build. We lead by example, move fast, make data-aware decisions, and continuously push for more, always with a focus on delivering real value to customers.

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.

Governance is one of Wand's core products: the AI and agentic engines that reason over messy, non-deterministic organizational data to catch policy violations, flag risk, and surface what humans actually need to see. As AI agents take on real work inside an organization, someone has to set the rules, run the checks, and make sure everything stays safe and compliant, and governance is how Wand makes that possible  systems underneath are deep in AI, agents, and knowledge graphs, but governance has almost no dedicated front-end depth right now, and that is the single biggest gap we need to close.

All of that intelligence is only as valuable as the surfaces that let a human see it, trust it, and act on it.

We're hiring a frontend-focused full-stack engineer to own the governance product's front-end end to end: turning non-deterministic agent output, risk signals, and complex organizational relationships into interfaces people can actually understand and act on. A big part of this job is deciding what's good and what needs rethinking, then building it. Here you'll get real architectural ownership, not just execution, on a small, remote-first, high-trust, senior-heavy team.

• Own the front-end architecture end to end for the governance product: assess what's been built so far, decide what to keep and what to rethink, then build it.
• Design and build the interfaces where humans review and act on what the governance agents surface: policy violations, compliance risks, and governance findings, often derived from ambiguous, non-deterministic signals.
• Make complex organizational structure and knowledge-graph relationships legible and navigable, so a user can see how a finding connects across the org and why it matters.
• Bring real product and UX sense to inherently complex, high-stakes governance and compliance workflows, not just technical execution.
• Build and maintain the front-end (we lean Type Script, but we care far more about your track record than an exact stack match).
• Contribute to the backend as needed: understand data structures, APIs, and enough of the knowledge-graph and agent layer to build and reason about the surfaces on top of it. The backend is mainly Go, with Python also in the mix, and we're technology agnostic.
• 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.
• Partner closely with the AI and backend engineers building the governance engines to turn agent-driven insight into surfaces people rely on.

• Strong front-end fundamentals: you know the basics cold and can make real architectural calls, not just implement someone else's design.
• Real product and UX sense: good taste, ideally built for real end users on a genuine product, with the judgment to make complex, information-dense workflows feel clear and trustworthy.
• A track record of turning complex or ambiguous data into clear, usable…