Pleo

3 weeks ago

Engineering Manager, GenAI Platform

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Lead Pleo’s GenAI Platform team, the internal AI infrastructure powering customer-facing AI features. Own delivery of the platform roadmap across LLM serving (LiteLLM), MCP gateway/tool registry, agentic runtime, evaluation tooling, and observability—while transitioning from a Kotlin-first SDK to a hybrid architecture with Python as a first-class citizen. Serve as a builder-leader, shape technical decisions, drive reliability with SRE, and manage hiring, costs, and resourcing.

Location: London, Lisbon, Copenhagen, Madrid

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Lead the GenAI Platform team day-to-day as a builder-leader, owning delivery, quality, team development, and ways of working.
•Own execution of the platform roadmap, including LLM gateway, agentic runtime, MCP layer, data retrieval, eval tooling, and the hybrid architecture transition.
•Manage internal stakeholder relationships with Data & AI Products to shape the roadmap based on product demand.
•Drive hiring for the team to deliver the technical vision and roadmap.
•Partner with SRE on reliability standards, incident management, and production readiness; represent the team in cross-functional leadership discussions; own cost and resourcing decisions.

Pay and Benefits

Perks:Health InsuranceMeal AllowancePaid HolidaysRemote WorkParental Leave

Key Requirements

•Significant engineering management experience in platform or infrastructure teams, balancing technical delivery, hands-on judgment, and people leadership.
•Deep technical expertise in AI infrastructure to make relevant technical decisions and contribute to architecture and delivery discussions.
•Experience managing senior, highly autonomous engineers.
•Experience leading engineering teams through major change while maintaining delivery velocity.
•AI-assisted engineering experience with familiarity using tools such as Claude Code, Codex, or Cursor.

Experience:AI infrastructurePlatform engineeringData/ML-heavy environmentsAgentic developmentEngineering management

Skills:Technical leadershipPeople leadershipStakeholder managementHands-on judgmentDecision-making

Languages:English

Tech Stack:AWSKotlinPythonKubernetesLiteLLMMCPBrainTrustTemporalLLM APIsClaude CodeCodexCursorLLM servingAgentic runtimeObservabilityLLM gatewayTool registryEvaluation tooling

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Pleo

Provides spend management software that helps businesses issue company cards, control expenses, automate reimbursements, and track team spending in one platform. Aims to simplify financial workflows for modern companies.

Industry: Fintech Infrastructure

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Headquarters: Copenhagen, Denmark

Founded: 2015

Website LinkedIn

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Pleo

3 weeks ago

Engineering Manager, GenAI Platform

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Location: London, Lisbon, Copenhagen, Madrid

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Lead the GenAI Platform team day-to-day as a builder-leader, owning delivery, quality, team development, and ways of working.
•Own execution of the platform roadmap, including LLM gateway, agentic runtime, MCP layer, data retrieval, eval tooling, and the hybrid architecture transition.
•Manage internal stakeholder relationships with Data & AI Products to shape the roadmap based on product demand.
•Drive hiring for the team to deliver the technical vision and roadmap.
•Partner with SRE on reliability standards, incident management, and production readiness; represent the team in cross-functional leadership discussions; own cost and resourcing decisions.

Pay and Benefits

Perks:Health InsuranceMeal AllowancePaid HolidaysRemote WorkParental Leave

Key Requirements

•Significant engineering management experience in platform or infrastructure teams, balancing technical delivery, hands-on judgment, and people leadership.
•Deep technical expertise in AI infrastructure to make relevant technical decisions and contribute to architecture and delivery discussions.
•Experience managing senior, highly autonomous engineers.
•Experience leading engineering teams through major change while maintaining delivery velocity.
•AI-assisted engineering experience with familiarity using tools such as Claude Code, Codex, or Cursor.

Experience:AI infrastructurePlatform engineeringData/ML-heavy environmentsAgentic developmentEngineering management

Skills:Technical leadershipPeople leadershipStakeholder managementHands-on judgmentDecision-making

Languages:English

Tech Stack:AWSKotlinPythonKubernetesLiteLLMMCPBrainTrustTemporalLLM APIsClaude CodeCodexCursorLLM servingAgentic runtimeObservabilityLLM gatewayTool registryEvaluation tooling

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Pleo

Industry: Fintech Infrastructure

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Headquarters: Copenhagen, Denmark

Founded: 2015

Website LinkedIn