AI Operational Excellence (SaaS startup) Engineer.

Mongoose Gray; Slough; Hybrid; GBP 125,000 - 140,000; Full time

Benefits offered by this job

Equity

Hybrid work model

Job summary

Mongoose Gray is seeking an AI Operational Excellence Engineer to accelerate internal systems with AI-powered automations. This hybrid builder/strategist role blends engineering, process ownership, and internal consulting to remove manual bottlenecks.

You will own key metrics, build scalable playbooks, and drive adoption of AI tools across ops, support, finance, and GTM. The position offers hybrid work and equity opportunities in a fast-growing SaaS environment.

Qualifications

• Hands-on experience building AI-powered automations.
• Experience designing and deploying agents and copilots.
• Strong data manipulation and scripting skills.

Responsibilities

• Audit workflows across ops, support, finance, GTM, and People for automation opportunities.
• Design, build, and deploy AI agents and automations to remove bottlenecks.
• Partner with leads to translate messy processes into scalable systems.
• Own operational metrics and drive measurable improvement.
• Evaluate AI/automation tooling with speed and pragmatism.
• Create dashboards and monitoring for real-time visibility.
• Develop playbooks and docs to sustain improvements during rapid growth.
• Act as internal AI enablement resource and train teams.

Skills

LLM APIs

Agentic frameworks

Workflow automation

SQL

Scripting

No-code tools

Tools

Python

Zapier

Make

Internal tooling

Job description

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.
• Start‑up 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.

£125,000+ and equity position