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 GenAI Platform is Pleo's internal AI infrastructure team, the platform every customer-facing AI feature is built on. The team owns LLM serving (LiteLLM), the MCP gateway and tool registry, agentic runtime, evaluation tooling, and the observability layer that makes AI outputs trustworthy at scale.

This is a technical engineering management role for a builder-leader. You will lead a team of strong staff and senior engineers through a critical transition: evolving from a Kotlin-first SDK to a hybrid architecture that makes Python a first-class citizen for agentic development. You will own delivery of the platform roadmap, contribute to key technical decisions, and stay close enough to the work to shape architecture, unblock delivery, and set a high technical bar. This is a role for someone who can actively build the conditions, systems, and technical direction that help the team ship.

Who you’ll be working with and reporting to

You will report to the VP of Data and work closely with Product, broader Engineering leadership, Data, Security, Risk and Legal teams.

What you’ll be doing

As an Engineering Manager, you will:

Lead the GenAI Platform team day-to-day as a builder-leader: delivery, quality, team development, and ways of working.
Own the execution of the platform roadmap including but not limited to LLM gateway, agentic runtime, MCP layer, data retrieval, eval tooling, and the hybrid architecture transition.
Manage the stakeholders relationship with Data & AI Products as the primary internal customer and ensure the platform roadmap is shaped by product demand, not platform preference.
Drive active hiring for the team to build a team to deliver on the planned technical vision and roadmap.
Partner with SRE on reliability standards, incident management, and production readiness for platform services.
Represent the team in leadership and cross-functional discussions ensuring to translate platform progress and blockers into terms that drive decisions.
Own the team's cost and resourcing decisions: LLM spend, infrastructure costs, headcount.

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:

Significant engineering management experience in platform or infrastructure teams, with demonstrated experience balancing technical delivery, hands-on technical judgment, and people leadership.
Deep technical expertise in AI infrastructure enabling you to advocate for the users, make relevant technical decisions and actively take part in architectural discussion or hands-on work alongside team members.
Experience managing senior, highly autonomous engineers.
Demonstrated experience leading engineering teams through significant change. This team is in an architectural inflection point and you will need to maintain delivery velocity through this transition.
AI-assisted engineering experience and familiarity delivering and driving outputs leveraging tools such as Claude Code (it is our tool of choice), Codex or Cursor.

Why is this role a good fit for you

This role is a good fit for you if:

Your platform engineering understanding is as s

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Engineering Manager, GenAI Platform at Pleo