Mongoose Gray
AI Operational Excellence Engineer.

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About the Role
We're scaling fast, and our internal systems need to scale faster. We're looking for an AI Operational Excellence Engineer to be the force multiplier behind our internal operations. Someone who identifies friction across the business and builds AI-powered systems, agents, and automations to eliminate it. This is a hybrid builder/strategist role: part engineer, part process owner, part internal consultant.
What You'll Do
- Audit internal workflows (ops, support, finance, GTM, People) to find high-leverage automation opportunities.
- Design, build, and deploy AI agents and automations (LLM-powered tools, workflow orchestration, internal copilots) that remove manual bottlenecks.
- Partner with functional leads to translate messy, ambiguous processes into reliable, scalable systems.
- Own key operational metrics (cycle time, error rate, cost-per-process) and drive measurable improvement.
- Evaluate and integrate AI/automation tooling (internal builds vs. vendor tools) with a bias toward speed and pragmatism.
- Build internal dashboards and monitoring so leadership has real-time visibility into operational health.
- Establish scalable playbooks and documentation so improvements survive hypergrowth headcount changes.
- Act as an internal "AI enablement" resource, training teams to use and trust new tools.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
What You Bring
- 3–6+ years in ops, automation engineering, data/analytics engineering, or a technical BizOps role.
- Hands-on experience with LLM APIs, agentic frameworks, or workflow automation tools (e.g., Python, Zapier/Make, internal tooling, RAG pipelines).
- Strong SQL and scripting skills; comfortable moving between spreadsheets, code, and no-code tools as the situation demands.
- A track record of shipping things that actually get adopted. Not just prototypes.
- Startup instincts: comfortable with ambiguity, fast iteration, and owning problems end-to-end.
- Sharp process thinking. You can spot the real bottleneck, not just the visible symptom.


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Nice to Have
- Experience in a hypergrowth SaaS environment.
- Exposure to RevOps, FinOps, or Support Ops specifically.
- Experience building internal tools used by non-technical teams.
Why This Role Matters
At this stage, every hour of manual work is an hour not spent on growth. You'll have direct executive visibility, real autonomy, and the mandate to rebuild how the company operates using AI as your primary lever.
Interested in this £125,000+ and equity position?
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