The Work Operating System for the AI Era

Reejig gives companies a complete, validated view of their work — mapping every role, task, skill, and workflow. With that intelligence, we redesign how work should flow, surface where automation creates the highest leverage, and enable our customers to deploy the right AI agents to make it real. Every change is measured and tied to operational impact.

We're hiring people who want to be at the frontier of the way the world works — not watching it, building it.

The Role

AI is changing how work gets done. Most people are talking about it. A smaller group is actually building it — configuring agents, deploying workflows, and making AI real inside the companies that have committed to it. This role is for someone who wants to be part of that second group.

As an Applied AI Workflow Builder, you'll work closely with our Customer team and enterprise customers to design and deploy agents into real working environments. CS owns the customer relationship and brings you the context: what the customer is trying to achieve, where their current work breaks down, the data sources, permissions, constraints, and workflows that define their environment. Your job is to take that context and build — configuring agents that work within it and getting from blueprint to live deployment. That starts with understanding the problem: what the customer is trying to achieve, where their current work breaks down, and where AI can create the most leverage.

Alongside the customer work, you'll look across builds to find the underlying patterns — the common problems, the repeatable solutions, the agent designs that work across more than one environment. You'll generalise those into reusable templates and contribute them to a growing library, with clear enough guidance that another builder can connect their own data and adopt them. The goal is never a bespoke one-off. It's a solution that ships fast and scales across customers.

This is an early-career role built for someone who wants genuine hands-on reps. Not just demos or pilots. You’ll design live AI deployments, inside real enterprise environments, at a company defining what it looks like to design work in the AI era.

What You'll Do

• Design & activate workflows with customers | Work with the Customer Success team to understand the real context of each customer engagement — the business problems, AI opportunities, data sources, permissions, constraints, and workflows that define their environment. Use that understanding to design AI workflows tailored to what customers actually need, build the agents across the tools customers use — Microsoft Copilot, ChatGPT, Claude, and other enterprise AI platforms, and support customers in deploying them into their own environment
• Turn every build into a reusable asset | After each activation, document what you built: the problem, the design, the agents, the build steps, the deployment guide, the metrics. Look across customer builds to identify the underlying patterns — the common problems, the repeatable solutions, the agent designs that transfer across environments. Abstract the specific into the general. Contribute to a library that other customers can adopt without starting from scratch.
• Create content that teaches others to build | Record short video walkthroughs. Write practical guides. Make the builds accessible to the next person — whether that's another Reejig customer, a CS team member, or someone finding it through our community.
• Help us build better from the inside | Participate in internal build sessions where we test workflows on ourselves before releasing them to customers. Identify friction points. Validate agents. Surface issues before they reach production.

What We're Looking For

You need to have actually built things with AI — and be able to prove it.

The signals that matter:

• Hands-on experience building AI workflows, automations, or agents. Doesn't matter which tools — ChatGPT, Claude, Microsoft Copilot, Make, Zapier, n8n, or anything else. Breadth signals genuine curiosity; we're tool-agnostic at hire.
• Evidence that you document and communicate what you build — guides, tutorials, walkthroughs, content of any kind.
• Comfort explaining technical work to people who aren't technical. Customer-facing experience of any kind is a plus.
• Speed, resourcefulness, and ownership. You figure things out rather than waiting to be told.

This role isn't right for you if:

• You need complete specifications before you start
• You prefer to work in isolation without customer interaction
• Documentation feels like overhead rather than part of the job
• You want to study AI rather than deploy it

Why You Want This Role

Deploying AI agents inside live enterprise environments is one of the most in-demand skills in the market right now. Very few early-career roles offer genuine hands-on reps at this level, across this variety of real enterprise customers.

You'll work directly alongside founders and a senior team. You'll contribute to a product that's reshaping how organizations operate. You'll build a portfolio of real activations — not demos, not pilots, live production deployments — at large enterprise businesses.

Reejig also practices what it sells. You won't just deploy AI for customers — you'll work inside a company where AI-enabled workflows are the operating norm. The learning curve is steep. The growth is real.