ph3About The Role /h3 pThe 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. /p h3What You’ll Be Doing /h3 ul liLead the GenAI Platform team day‑to‑day as a builder‑leader: delivery, quality, team development, and ways of working. /li liOwn 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. /li liManage 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. /li liDrive active hiring for the team to build a team to deliver on the planned technical vision and roadmap. /li liPartner with SRE on reliability standards, incident management, and production readiness for platform services. /li liRepresent the team in leadership and cross‑functional discussions ensuring to translate platform progress and blockers into terms that drive decisions. /li liOwn the team's cost and resourcing decisions: LLM spend, infrastructure costs, headcount. /li /ul pFor 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. /p h3What You Bring /h3 ul liSignificant engineering management experience in platform or infrastructure teams, with demonstrated experience balancing technical delivery, hands‑on technical judgment, and people leadership. /li liDeep 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. /li liExperience managing senior, highly autonomous engineers. /li liDemonstrated 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. /li liAI‑assisted engineering experience and familiarity delivering and driving outputs leveraging tools such as Claude Code (it is our tool of choice), Codex or Cursor. /li /ul h3Why This Role is a Good Fit for You /h3 ul liYour 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. /li liYou 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. /li /ul h3This Role is Not a Good Fit for You /h3 ul liYou 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. /li liYou do not have a deep knowledge of data/ML‑heavy ecosystems. /li /ul h3How You’ll Develop In This Role /h3 ul liDevelop 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. /li liEstablish a strong working relationship with the team; understand how they work, what they need, and where the management gaps are. /li liOwn the platform roadmap and establish a clear delivery cadence. /li liProgress the hiring plan. /li liDefine 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. /li /ul h3Location /h3 pWe 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. /p h3Benefits /h3 ul liYour own Pleo card. /li liLunch is on us for your work days – enjoy catered meals or receive a lunch allowance based on your local office. /li liComprehensive private healthcare – depending on your location coverage options include Vitality, Alan or Médis. /li liWe offer 25-28 days of holiday (depending on your location) + public holidays. /li liBoth hybrid and fully remote working options. /li liOption to purchase 5 additional days of holiday through a salary sacrifice. /li liWe use MyndUp to give our employees access to free mental health and well‑being support. /li liPaid parental leave. /li /ul /p #J-18808-Ljbffr

📌 Engineering Manager, GenAI Platform (Madrid)
🏢 Pleo
📍 Madrid