At Pleo, we’re on a mission to revolutionise the way businesses manage company spending. No more outdated processes, clunky spreadsheets, or frustrating delays - we believe spend management should be seamless, empowering, and surprisingly effective for finance teams and employees alike. We’re creating tools that promote autonomy, foster trust, and let businesses focus on what truly matters.
Our culture is built on transparency, collaboration, and a deep commitment to innovation – which is reflected in our spending solution. At Pleo, you’ll join a passionate team shaping the future of work, all while having some fun along the way.
The Role
You will be the founding engineer of a brand new AI product team at Pleo. This is an exciting opportunity to shape the technical direction to build an exciting new product, with the support of fellow engineers to collaborate with. Pleo has over 40,000 customers and a decade of unique spend data—an incredible foundation to build upon. Your mission will be to harness this data. If you are a pragmatic, product-minded builder who thrives on solving complex problems and building systems from first principles, then this role is for you.
While part of the Data team and reporting directly into our Director of Data & Analytics (Product), you’ll work directly embedded in the newly founded Spend Intelligence team alongside a Product Manager, Product Designer and as well as other engineers and data colleagues. Your primary focus will be on building and shipping a new AI product from 0 to 1, with your core responsibilities centered on product architecture and model deployment, with a strong collaborative element for infrastructure.
What You’ll Be Doing
Architecting and building products from scratch. You will own the end-to-end development of AI-powered features, from initial design and model development to production deployment
Discovering and defining opportunities. You will proactively engage with teams across Pleo to uncover their most critical challenges and find the highest-impact opportunities for AI to solve them
Designing the "local first" operational stack. You will make the key technical decisions and build the infrastructure needed to power our AI features, within the guardrails of our architectural guidelines
Developing and deploying a range of ML models. You will productionise models to solve key customer problems
Integrating a portfolio of LLMs and APIs. You will connect our product to a diverse set of models and external tools to create powerful, automated systems
Collaboration with Platform teams. You will collaborate with the data platform team to input into our MLOps infrastructure, and also work closely with Engineering counterparts
Partnering to prove value. You will work in a tight, collaborative loop with our Product Manager, Data Engineers, Data Scientists & Analysts to deliver results
Tech Stack
We’re working with both AWS and GCP as well as Kubernetes as we have a hybrid infrastructure.
Our data warehouse currently is in BigQuery, serving dbt and Looker, where we of course work with Python and SQL alongside airflow for orchestration and kafka for event-driven processing.
Our product is built in Kotlin, Java, Node.js while leveraging PostgreSQL & MySQL
What You Bring
We\'re looking for a doer who can translate complex business challenges and product visions into scalable AI solutions. You will thrive in this role if:
You are a true "0-to-1" AI builder. You have proven experience taking a product from a concept to a production system.
You are energized by greenfield projects and comfortable with the ambiguity that comes with them.
You have a proven track record of shipping production-grade AI systems, with a focus on GenAI. You\'ve successfully taken complex models to a live, scalable, and reliable production environment.
You are a product-minded engineer. You care deeply about the "why" behind what you\'re building.
You are pragmatic and results-oriented. You know how to make the right trade-offs to ship
You are a natural collaborator. You thrive in a cross-functional team environment
You are passionate about the fintech landscape. You are excited about solving complex financial problems for businesses
You have expertise in our technical environment. Your primary language will be Python alongside Kotlin and/or Java
Why is this role a good fit for you
You are an AI specialist first and a product engineer second - you have demonstrable examples of products you have built for customers
You are comfortable with rapid experimentation and evolving in ever-changing environments
You’ve taken both traditional AI and GenAI solutions to production and understand their unique DataOps, MLOps, LLMOps requirements
The package
United Kingdom: £82,450 - £123,675
European countries: €97,000 - €145,500
Please note we are unable to offer visa sponsorship for this role in any of the listed locations you find in the job info so you will need to have a valid right to work. We’re happy to share more about our approach to pay and this range during your first call with us!
Show me the benefits!
Your own Pleo card (no more out-of-pocket spending!)
Lunch is on us for your work days - catered meals or lunch allowance based on your local office
Comprehensive private healthcare - depending on your location, coverage options include Vitality, Alan or Médis
We offer 25 days of holiday + public holidays
Hybrid and fully remote working options
Option to purchase 5 additional days of holiday through a salary sacrifice
MyndUp access for free mental health and well-being support
Paid parental leave
The Interview Process
Intro call: 30-minute chat with our Talent Partner
Hiring Manager interview: 60-minute discussion on your experience and our product/data vision
A coding assessment: at-home or live session
A system design interview: 75-minute live session for AI product design, build and deployment
A leadership interview: 45-minute discussion focusing on behavioural skills and values
About Your Application
Please submit your application in English; this is our company language
All applications are reviewed by humans; ensure you read and answer questions carefully
We encourage diverse applicants from all backgrounds to apply
When you submit an application we process your personal data as a data processor