Customer Solutions Engineer

Build the Future Workforce

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.

We’re looking for a Field Solutions Engineer to sit at the intersection of engineering and go-to-market: pairing deep hands-on building with direct customer work to turn Wand’s platform into real agent-hours, workflows, and value in production.

You’ll work across the lifecycle from early technical validation and pilots through rollout and adoption translating messy business problems into concrete, testable workflows, building believable prototypes, and helping customers scale usage across many use cases.

If you love writing Python, wiring up APIs, and experimenting with LLMs as much as you enjoy talking to customers, this is a chance to shape how enterprises actually adopt the next generation of AI systems.

• Design and implement workflows, agents, and integrations on Wand for live customer scenarios (not just demo toys).
• Turn one-off builds into reusable patterns: templates, starter kits, and internal tools other CEs/SEs can reuse.
• Own technical quality: performance, reliability, and auditability of what you ship.

• Help customers frame clear technical hypotheses: what needs to be proven (accuracy, coverage, latency, safety) for them to buy.
• Design lightweight proofs, benchmarks, and evals that credibly answer, "Does this actually work for our data and process?"
• Set up simple measurement for before/after: time saved, error reduction, or volume handled.

• Partner with Sales to shape and deliver believable demos and pilots that showcase Wand’s differentiators (agentic workflows, governance, complex document workflows, etc.).
• Adapt and extend our demo environments rather than rebuilding from scratch each time.
• Join customer calls to explain how things work under the hood and handle deep technical questions.

• Help design and run onboarding plans: initial workflows, training sessions, office hours, and enablement for power users.
• Instrument your solutions for usage and value (DAU/WAU, agent-hours, workflow runs) and use this data to guide iteration.
• Partner with Customer Success to identify new use cases and turn proven workflows into broader rollouts.

• Debug and triage customer-facing issues, working closely with core Engineering when needed.
• Provide clear, customer-ready…