Operations Tooling Engineer

Handle the run with rigor: triage and resolve day-to-day requests from the run backlog — operational tooling access/config issues, dashboard requests, and ad hoc data queries — with speed and quality, helping Operations Engineers, and Operations Enablement more broadly, scale.

Spot the patterns: identify recurring request types within the backlog and quantify their volume, time cost, and risk to prioritize what's worth automating.

Design and ship automations: turn repeatable manual tasks into supervised automations via low-code, scripts, and AI tools, documenting how each one is designed, used, and maintained so the team can rely on them without you — reducing lead time and manual effort on the run.

Run a continuous improvement loop: for each automation, scope the solution, estimate the expected gain, deploy it, measure the actual impact, keep the documentation up to date, and move to the next candidate; following a "treat → detect pattern → automate → measure → repeat" cycle.

Grow into department-wide improvement projects: as you build expertise in AI and operations automation, take on small improvement initiatives, complete with guides and how-tos, that extend the tools and automations built for our team to other Operations factories.

Experience: You have 1-2 years of experience, with a background in engineering or a business school, and you're comfortable being hands-on with tools and data from day one.

Technical curiosity & tooling: You're comfortable navigating and troubleshooting operational tools (back-office platforms, Zendesk, Aircall, or equivalent CRM/ticketing/telephony platforms) and are excited to script and automate rather than repeat manual steps.

Data & querying: You can run data analysis to investigate issues, build dashboards, and size the impact of a problem before deciding whether it's worth solving.

Automation mindset: You have some exposure to low-code, iPaaS, Python, or similar tools, and you naturally ask "how do I make this happen without me?" when faced with a repetitive task.

Structured problem-solving: You can scope a small project end-to-end — from noticing a recurring pain point to shipping and measuring a fix — with autonomy and follow-through.

Languages: Fluent English is required; French and/or another European language is a huge plus.

Team & market context: You'll join the Operations Engineers team within Central Operations Enablement, the technical backbone that keeps tooling and processes running smoothly, connected and scaling for teams across the Operations department.

Methodologies: We work in a continuous improvement loop; treat, detect patterns, automate, measure, repeat. And we act as a proactive partner to Operations factories, one step ahead rather than waiting to be tasked.

Growth path: Grow from day-to-day operations into AI-driven automation and cross-factory projects, mentored by Lucas and experienced colleagues who have scaled operational processes.

Tools: back-office platforms, Zendesk, Aircall, dashboarding tools, iPaaS (Zapier, Make), SQL, and full access to AI tools to build faster.