The Work Operating System for the AI Era

Reejig gives Fortune 500 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 AI and 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 has already done that work and is ready to take more ownership of it.

As an AI Workflow Builder II, you'll own AI workflow builds with our enterprise customers. You'll get to know a customer's work in depth — the roles, the handoffs, the data, the constraints, the unwritten rules — and translate that understanding into AI workflows that change how they operate. You partner closely with our Customer Success team, who own the relationship and bring you the context, while you carry the build: from understanding where work breaks down and where AI creates the most leverage, to designing the solution, configuring the agents, and getting from blueprint to live deployment.

This is hands-on customer work that rewards the instincts of a good consultant — getting inside how a customer operates, earning their trust, and shipping something that holds up in the real world — except the deliverable isn't a slide deck. It's working AI deployed inside a live enterprise environment.

Alongside the customer work, you'll look across your builds to find the underlying patterns — the common problems, the repeatable solutions, the agent designs that transfer across more than one environment — and generalise them into reusable templates, 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.

What You'll Do

Own customer engagements end-to-end | Engage with enterprise customers to understand the real context of their work — the business problems, AI opportunities, data sources, permissions, constraints, and workflows that define their environment. Partner with Customer Success to navigate the relationship, then own the build: design AI workflows tailored to what customers actually need, using the agents across the tools they use — Microsoft Copilot, ChatGPT, Claude, and other enterprise AI platforms — and support them to deploy into their 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 engagements 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 and builders 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.

Make our product better as you build | You'll be building in Reejig's product every day, which puts you in the best position to improve it. Continuously feed what you learn back to our product and engineering teams — where the tooling gets in the way, what's missing, what would make the next build faster. Your feedback directly shapes the roadmap.

What We're Looking For

You've already built real things with AI inside real organizations — and you can prove it.

The signals that matter:

• A couple of years of hands-on experience designing and deploying AI workflows, automations, or agents — consulting, professional services, or other client-facing experience with enterprise-level business is a strong plus.
• A track record of getting inside how a business actually works, spotting where AI creates leverage, and shipping solutions that hold up in the real world — not just demos or pilots.
• Hands-on fluency across AI tools and platforms — Microsoft Copilot, Claude, PowerAutomate, n8n, ChatGPT, Make, Zapier, n8n, or others. Breadth signals genuine curiosity; we're tool-agnostic at hire.
• Strong customer-facing instincts: you can build trust with stakeholders, explain technical work to non-technical people, and navigate the messiness of a real enterprise environment.
• A bias toward documentation and reuse — you instinctively turn a one-off build into something the next person can adopt.
• Speed, resourcefulness, and ownership. You figure things out and drive the build forward 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
• You've designed AI workflows in theory but never deployed them in a live environment
• Documentation feels like overhead rather than part of the job

Why You Want This Role

Deploying AI agents in live enterprise environments is one of the most in-demand skills in the market right now — and very few roles let you do it across this variety of real enterprise customers, with this much ownership.

You'll work directly alongside founders and a senior team. You'll build a portfolio of real activations — not demos, not pilots, live production deployments — at large enterprise businesses, and contribute templates that scale your work across customers.

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