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.
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.
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?
Please share a CV and short covering letter. That's right you don't go fishing without a hook.
AI Operational Excellence (SaaS startup) Engineer. employer: Mongoose Gray
Mongoose Gray is an exceptional employer that fosters a collaborative and innovative work culture, where Forward-Deployed AI Engineers can thrive in a hybrid environment. With a strong emphasis on employee growth and development, the company offers unique opportunities to work closely with product and engineering teams, enabling you to make a meaningful impact through bespoke AI solutions. Located in the UK, Mongoose Gray provides a dynamic setting that encourages rapid prototyping and customer-centric approaches, making it an ideal place for those seeking rewarding and impactful employment.
