Engineering Manager, GenAI Platform

About the role

This role involves leading the GenAI Platform team, which builds the internal AI infrastructure powering all customer-facing AI features at Pleo. You will guide a team of experienced engineers through a significant architectural shift, moving towards a hybrid system that fully integrates Python for agentic development. This is a hands-on management position requiring strong technical judgment and leadership.

Key facts

What you'll do

• Oversee the GenAI Platform team's daily operations, focusing on delivery, quality, team growth, and work methodologies.
• Drive the execution of the platform roadmap, including the LLM gateway, agentic runtime, MCP layer, data retrieval, evaluation tools, and the hybrid architecture transition.
• Manage relationships with Data & AI Products, ensuring the platform roadmap aligns with product needs.
• Actively recruit to expand the team and achieve the technical vision and roadmap.
• Collaborate with Site Reliability Engineering on reliability standards, incident response, and production readiness for platform services.
• Represent the team in leadership and cross-functional discussions, translating progress and obstacles into actionable insights.
• Manage the team's budget, including LLM expenses, infrastructure costs, and headcount.

Requirements

• Substantial engineering management experience within platform or infrastructure teams.
• Demonstrated ability to balance technical delivery, hands-on technical decision-making, and people leadership.
• Deep technical knowledge in AI infrastructure to advocate for users, make technical choices, and participate in architectural discussions or direct work.
• Experience managing highly independent senior engineers.
• Proven track record of leading engineering teams through major changes while maintaining delivery speed.
• Familiarity with AI-assisted engineering tools like Claude Code, Codex, or Cursor.
• Strong understanding of both platform engineering and data space concepts.
• Eagerness to stay current with technology and engage in hands-on development, potentially with personal agentic solutions.

Skills & tools

• AWS
• Kotlin
• Python
• Kubernetes
• LiteLLM
• BrainTrust
• Temporal
• LLM APIs

Practical notes

• This role can be remote, hybrid, or in-person within the UK, provided you have the legal right to work in the country. Visa sponsorship is not available.
• Benefits include a Pleo card, catered lunches or allowance, private healthcare (Vitality, Alan, or Médis), 25-28 days of holiday plus public holidays, hybrid and remote work options, ability to purchase 5 extra holiday days, free mental health support via MyndUp, and paid parental leave.
• The interview process includes an intro call, a hiring manager interview, a technical interview, and a final interview with the Chief Product & Technology Officer.
• Applications should be in English and demonstrate specific impact using the "Achieved X, as measured by Y, by doing Z" format. Generic or AI-generated CVs without human intervention are less likely to be selected.
• This role is not suitable for pure people managers or coordination-only leaders; deep technical engagement with AI infrastructure is required.
• Candidates should have extensive experience building AI/data products and managing multiple teams in mature data and product engineering environments.