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# Engineering Manager, Genai Platform

- **Company:** Genai Platform
- **Location:** Spain
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Data Retrieval, Cursor (Graphical User Interface Elements), Python (Programming Language), AI Infrastructure, Large Language Models, Kotlin, Kubernetes
- **Published:** July 10, 2026
- **Apply:** https://es.trabajo.org/oferta-5354-d73bfb6e022eff818e33d6d11f793433

## About the Role

technical discussions and make good trade-off decisions. What You Bring - 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 This Role is a Good Fit for You - Your platform engineering
understanding is as strong as your understanding of the data space. You will need to operate at the intersection of both worlds to be successful in this role. - You keep up to date with technology changes and still get excited about doing hands-on work. You probably have been developing your own agentic solutions and are eager to make these available to a larger customer base. This Role is Not a Good Fit for You - You are a pure people manager or coordination-only leader. The team is building complex AI infrastructure and the manager needs to engage meaningfully with technical decisions, trade-offs, and delivery details. - You do not have a deep knowledge of data/ML-heavy ecosystems. How You'll Develop In This Role - Develop a thorough understanding of the platform's current architecture, the hybrid architecture transition in flight, and the most significant gaps, identify and make significant improvements with the team to achieve Pleo's agentic
goals. - Establish a strong working relationship with the team; understand how they work, what they need, and where the management gaps are. - Own the platform roadmap and establish a clear delivery cadence. - Progress the hiring plan. - Define and land the stakeholders model: supporting the team, how the platform roadmap is prioritised, how requests are handled, and what the support SLA looks like. Location We can hire on a remote, hybrid or in-person set-up in any of the locations listed on the advert but you will need to be physically based in the country of your choice with a valid right to work. We are unable to offer visa sponsorship for this role in any of the listed locations. Benefits - Your own Pleo card. - Lunch is on us for your work days - enjoy catered meals or receive a

## Description

limited to LLM gateway, agentic runtime, MCP layer, data retrieval, eval tooling, and the hybrid architecture transition. - Manage the stakeholder 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


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