We're looking for an AI & Automations Analyst to build the automation infrastructure that makes Bolt Food's Central Operations meaningfully more efficient across all 16+ markets in Europe and Africa.
You'll diagnose where the highest-effort manual work lives, build the automations to eliminate it, and use AI tooling to run analyses that would otherwise take days or not happen at all.
About us
With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people.
We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, age, or disability.
Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission!
About the role
You'll work across all four Central Ops sub-teams - Courier Lifecycle, Courier Performance, Marketplace Operations, and Operational Excellence - as well as with local market teams, Product, and Data.
This is a builder + strategist + analyst + educator seat. The right person ships fast, thinks analytically, and is genuinely excited about using AI to change how an operations team works.
Main tasks and responsibilities:
-
Build and ship automations at scale. Design, build, and maintain production-grade automation workflows using tools like Make, n8n, or similar — covering courier onboarding, compliance, performance monitoring, and reporting pipelines across all 16+ markets. Convert high-volume manual work into scalable, repeatable systems.
-
Use AI tooling to accelerate and deepen analysis. Apply LLM-based tools and structured frameworks to operational questions that are too complex for manual approaches — bad order classification, multi-market variance analysis and insight extraction from unstructured data. You won't just build the pipe; you'll generate the insight.
- *Define the AI & automation roadmap. *You'll set the direction for how Central Ops adopts AI and automation, what we build, what we buy, what we train on and what we deprecate. This function doesn't exist today; you'll shape it. It involves auditing existing workflows, quantifying where manual effort is highest, and maintaining a structured pipeline of opportunities ranked by hours saved and business impact. Track realised savings and continuously identify new opportunities.
-
Automate operational reporting. Replace manual data pulls with automated pipelines — weekly market performance packs, daily KPI scorecards with threshold-based alerting, and cross-market variance reports that surface outliers before leadership reviews.
-
Build compliance and quality systems. Design rules-based automation for courier compliance (document expiry, automated reminders, threshold-based blocking) and performance management (rolling score engines, structured warning and suspension pipelines).
-
Enable the team. Document all workflows clearly, deliver regular AI tooling training for central and local teams, and build with sustainability in mind. Your automations need to work when you're not watching them.