About Pleo

Messy spend management is tricky business. And tedious processes are a lose-lose situation for all involved, not just finance. At Pleo, we're changing that. We build spend solutions that make managing money seamless, empowering, and surprisingly effective for finance teams and employees alike - with a vision to help all businesses ‘go beyond’.

The word ‘Pleo’ actually means ‘more than you’d expect’, and living by that mantra has been the secret to our success over the last 10 years.

Now, we’re at a pivotal moment in our journey; every move we make has a direct impact on our 40,000+ customers, our business, and our collective success. We need people who take pride in uncovering customer needs, who turn complex problems into simple solutions, challenge the way things are done (respectfully), and always aim high. With great ambitions driving us forward, we can’t say we’ve got this whole thing figured out. And frankly, that’s half the fun! What we can say is that we’re a driven, progressive, and, importantly, a kind bunch of 850+ people from over 100 nationalities, all committed to delivering the future of business spending, together.

About the role

The Data & AI Products and Data Serving teams are Pleo's two newest teams. Data & AI Products builds customer-facing features using data, AI or ML. Data Serving owns the production-grade data layer that every downstream consumer product teams, AI agents, and external customers depend on for clean, reliable data.

This Senior Manager role spans both teams. It is a data and engineering leadership role with a strong product backbone, designed for a builder-leader. You need to understand what good AI feature engineering looks like, what it takes to build end-to-end data products, data engineering best practice, and how to build and lead teams that do both well. You will stay close enough to the work to shape technical direction, unblock delivery, and raise the quality bar across both teams.

Who you’ll be working with and reporting to

You will report to the VP of Data and work closely with our Principal Data Engineer. You will partner closely with the Manager of GenAI Platform, Data Infra & ML Platform, Product Engineering leadership and Product Managers across Pleo.

What you’ll be doing

As a Senior Engineering Manager, you will:

Build, lead, and develop multidisciplinary teams as a hands-on builder of systems, standards, and team capability. In the Data & AI Products team you will find Applied AI Engineers, Data Scientists and ML Scientists while the Data Serving team is constituted of Backend Engineers, Data Platform Engineers and Data Engineers. We are looking for someone with a solid understanding of each of these roles.
Own the delivery for both teams: AI feature delivery for customers and the API and serving layer that underpins it.
Partner with product teams to define the AI feature roadmap. You are strategic partner to senior leaders across the business and can advocate for Pleo’s customers.
Drive quality and trust standards across AI feature development by implementing evaluation methodologies, production monitoring processes, responsible AI practices and more.
Ensure the serving layer meets the reliability and latency requirements of production AI features, product teams, and external customers directly accessing their data.
Manage resourcing and hiring across both teams through a period of growth.
Represent both teams in leadership and cross-functional discussions, translating technical progress and blockers into clear decisions needed.
Partner with the Manager of GenAI Platform to ensure product demand shapes the platform roadmap.

For more context, our tech stack currently includes AWS, Kotlin, Python, Kubernetes. LiteLLM, BrainTrust, Temporal, LLM APIs and more. You do not need to be an expert across all of these, but need enough familiarity to follow technical discussions and make good trade-off decisions.

What you bring

You’ll thrive in this role if you have:

Proven experience leading cross-functional teams building AI-powered or data-intensive customer-facing products.
Technical depth in at least one of: AI product engineering, real-time reporting/analytics data APIs, or ML systems - enough to hold credible technical conversations and make good hiring and architecture decisions.
Experience building or substantially growing teams enabling you to hire, develop, and retain senior technical talent in a competitive market.
Strong product and business acumen. You can work with PMs and designers to shape a roadmap, not just execute one handed to you.

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Senior Engineering Manager, Data & AI Products at Pleo