Forward-Deployed Engineer

Growy exists to solve enterprise AI's real bottleneck: context. In every company, people and systems fail not for lack of intelligence but because the right context isn't available at the right moment — knowledge is dispersed across tools, inboxes, and heads. Growy is the context layer for both humans and agents: a living Company Brain that unifies dispersed knowledge, keeps itself current with every action, and lets people and agents act on it autonomously. We map the company into the Brain, agents run on top of it, and every change in the company updates the context — so agents never work from stale knowledge. Intuitive and built for non-technical users, Growy lets any employee achieve complex, multi-step operational tasks.

The role

You support clients through the initial phase — setting up their Company Brain, mapping their processes and structures, and implementing their first workflows. Then you teach them to do it themselves, so their own people build and extend workflows autonomously. From there, you stay on as their point of contact: the person they trust when they want to go further.

What you'll do

• Map the client's processes, structures, and systems — including the genuinely complex ones — into the Company Brain, and set up how that context stays current as the company changes
• Design, implement, and debug the first agentic workflows end-to-end: prompt design, tool configuration, error handling, human-in-the-loop approvals
• Integrate the client's stack — Microsoft 365 (Excel, SharePoint, Outlook), ERPs, APIs, webhooks — and harden workflows until they run in production without you
• Train the client's internal champions to build workflows on their own — non-technical users included
• Be the client's ongoing point of contact as they expand

Who you are

Half engineer, half consultant. The ideal profile has a tech and AI background and has worked client-side — you can map a business process in a workshop in the morning and debug the workflow that automates it in the afternoon.

• Engineer: 2+ years building software, integrations, or automation in production; hands-on LLM experience beyond chat — reliable prompts, tool calling, knowing where models break; comfortable reading logs and tracing failures
• Consultant: you've mapped processes, run workshops, managed stakeholders, and can turn a business case into something buildable
• A natural teacher: you enjoy making non-technical people capable, not dependent

What you get

• Real clients, real revenue, direct line to the founders
• Salary + equity
• Visa sponsorship available (UK Skilled Worker licence)