AI Operator at saas.group - Fully Remote, Work Anywhere — Columbus

This role is part of our Central AI Team at saas.group.

What is saas.group?

Think of us as the driving catalyst behind your favorite software success stories. saas.group, established in 2017, is on a mission to turbocharge promising B2B SaaS ventures, unlocking their full potential. As a Software-as-a-Service portfolio powerhouse, we specialize in acquiring small software treasures and polishing them into industry stars. With a dynamic, fully remote team of nearly 400 colleagues spanning 50+ countries, we are truly global and rewriting the playbook on SaaS innovation and collaboration. We grow 25 exciting brands under our umbrella. Feel free to explore our Candidate's Hub to get an insider's view, dive into our culture, and gain valuable insights into our teams and how we work.

Also, don't forget to follow saas.group on LinkedIn to stay up-to-date on job openings, podcast episodes, and everything happening at our company.

Profile Overview

Our Central AI squad works along two paths: one builds production-ready AI systems into our brands' products; the other helps our teams work better — individually and together — with AI tools and workflows. This role lives on that second path. We don't just advise on AI; we build it and put it to work inside real teams.

As an AI Operator, you transform how teams actually work — inside a single function and across functions (between, say, support, product, and marketing) — with AI as the orchestration engine. You embed with a brand or central function, observe how work really gets done today, then redesign it with AI at the centre and make the change stick. Concretely, that can mean developing Claude or Codex skills, setting up n8n flows, and building smaller agents — whatever the redesigned process actually needs — then training the team and handing it over so they run it confidently without you. Each engagement is focused: you live and breathe one function for two to four weeks to reimagine it, then move on and the brand owns it.

You don't need to be an engineer to do well in this role. Some of the best candidates come from product, operations, customer support, sales, consulting, or project management — places where they've seen how work really gets done. An engineering background is a plus, not a requirement. What matters is the operator instinct: finding the leverage, building it with AI, and getting people to actually adopt it. You won't be writing production software here — your craft is changing how a team works.

Your immediate impact in the first 3–6 months will be:

• Your first transformation. Embed with one brand or central team, map and measure how the work runs today, redesign one real workflow with AI at the centre, and get the team actually using it — not piloted, adopted.
• A before/after worth showing. A measured change (time, cost, cycle time, or a new capability) that a brand lead is happy to put their name to.
• The first reusable assets. What you build becomes a playbook and a skill the next brand starts from, instead of from scratch.

Your responsibilities

• Discovery and baseline. Sit with a team, map how the work really gets done, find where it piles up and where quality breaks, and measure the starting point before you change anything.
• Build and implement. Write a tool-agnostic playbook for the redesigned process, then stand up the tooling it calls for: agents, automations, Claude/Codex skills, prompt libraries.
• Adoption — the make-or-break. Get the team to actually run the new way of working you built, including hands-on one-on-one coaching in their own setups. Most AI initiatives die here; making the change stick is the job, not the afterthought.
• Measurement. Measure success the way the team would — by adoption and measurable workflow impact: time saved, cost, cycle time, or a capability they didn't have before.
• Day-zero for incoming brands. For newly acquired brands, onboard the team into the tools and set up the core workflows and support from the start.

What you bring to the table

• Agency, grit, and drive. The trait screened for hardest. You see a gap, propose a fix, run a test, and report back — without being told. You navigate ambiguity in a complex, multi-brand org, scope the work, and remove blockers without waiting for permission, with the delivery and time-management discipline to land a focused engagement on a tight clock.
• Current, hands-on AI fluency and orchestration. A hard requirement. You use Claude and/or Codex every day in real work; can explain in plain words what an MCP, a skill, an agent, and a plugin are, and when to reach for each; already build things that make a workflow run (Claude/Codex skills, n8n flows, small agents); know how to verify output is actually correct; and aren't blocked by basics like Git, the terminal, or n8n — resourceful enough to use AI itself to work through them.
• An operator's instinct for systems. You decompose a messy workflow into steps AI can run, spot the structurally high-value thing (not just the easy one), and have the taste to know what not to build. You design where AI runs on its own, where a human reviews, and what happens when it gets something wrong.
• Change management. You win a skeptical team's trust and actually change how they work — through doing real work alongside them and clear storytelling to skeptics and leaders alike. Your credibility is grounded in the work, not in being "the AI person", and you measure success by what the team adopts, not by what you personally build.
• Real domain experience and clear communication. You've done real work in a real function (at least 4–5 years of professional experience overall) and can speak the language of the team you embed with. Fluent English is a must, and you can explain technical ideas in plain words anyone can follow.

Most candidates won't tick every box. If you're high-agency, fluent with AI day to day, and you've already started changing how your team works, we want to hear from you.

What's in it for you

• Grow next to people who've built AI for years. You won't be the lone "AI person" anywhere. You join Central AI alongside AI Product Engineers who've spent a decade building AI in the field — a different function from yours, but the best people in the building to learn from. A whole portfolio of 20+ brands to make a real impact on, and a brand-new function you help shape from day one.
• Impact you can see. Your work changes how real teams operate, every week, across the whole portfolio.
• High trust, real ownership. We hire experts and get out of their way. You own your engagements with minimal bureaucracy.
• Ultimate flexibility: We're 100% remote. You can work from wherever you like, whenever you like.
• Minimum bureaucracy: We don't like to get bogged down with meetings and red tape. We like to be efficient and keep momentum steady and sustainable.
• Small & friendly team: We help each other out, have fun, and joke around.
• Our network: We are a community of entrepreneurial SaaS professionals that regularly exchange ideas, knowledge, learning, and expertise with each other internally.

We don't just offer you to "take a job with us" but rather to "join us on this journey" to build the world's largest platform of independent SaaS companies.

Sounds like something you're up for? Feel free to apply even if you don't check all these boxes. We believe in the power of diversity and fresh perspectives to spice up our team. Your application might just be the missing ingredient!

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saas.group is committed to creating a diverse and inclusive workplace. We are proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you're passionate about working with a team that values innovation, excellence, and fairness, we encourage you to apply.

We believe in fair and transparent pay. Salary ranges at saas.group are location-adjusted, targeting local market medians for a remote-first environment, and will be shared with our potential future employees in writing before your first interview — so you have everything you need to evaluate the opportunity.