ph3About Pleo /h3 pMessy 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’. /p pThe 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. /p pNow, 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. /p h3About The Role /h3 pThe Data AI Products and Data Serving teams are Pleo's two newest teams. Data AI Products builds customer‑facing features using data, AI or ML. Data Serving owns the production‑grade data layer that every downstream consumer product team, AI agent, and external customer depend on for clean, reliable data. /p pThis Senior Manager role spans both teams. It is a data and engineering leadership role with a strong product backbone, designed for a builder‑leader. You need to understand what good AI feature engineering looks like, what it takes to build end‑to‑end data products, data engineering best practice, and how to build and lead teams that do both well. You will stay close enough to the work to shape technical direction, unblock delivery, and raise the quality bar across both teams. /p h3Who You’ll Be Working With And Reporting To /h3 pYou will report to the VP of Data and work closely with our Principal Data Engineer. You will partner closely with the Manager of GenAI Platform, Data Infra ML Platform, Product Engineering leadership and Product Managers across Pleo. /p h3What You’ll Be Doing /h3 ul liBuild, lead, and develop multidisciplinary teams as a hands‑on builder of systems, standards, and team capability. In the Data AI Products team you will find Applied AI Engineers, Data Scientists and ML Scientists while the Data Serving team is constituted of Backend Engineers, Data Platform Engineers and Data Engineers. We are looking for someone with a solid understanding of each of these roles. /li liOwn the delivery for both teams: AI feature delivery for customers and the API and serving layer that underpins it.



/li liPartner with product teams to define the AI feature roadmap. You are strategic partner to senior leaders across the business and can advocate for Pleo’s customers. /li liDrive quality and trust standards across AI feature development by implementing evaluation methodologies, production monitoring processes, responsible AI practices and more. /li liEnsure the serving layer meets the reliability and latency requirements of production AI features, product teams, and external customers directly accessing their data. /li liManage resourcing and hiring across both teams through a period of growth. /li liRepresent both teams in leadership and cross‑functional discussions, translating technical progress and blockers into clear decisions needed. /li liPartner with the Manager of GenAI Platform to ensure product demand shapes the platform roadmap. /li /ul pOur 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 liProven experience leading cross‑functional teams building AI‑powered or data‑intensive customer‑facing products. /li liTechnical depth in at least one of: AI product engineering, real‑time reporting/analytics data APIs, or ML systems – enough to hold credible technical conversations and make good hiring and architecture decisions. /li liExperience building or substantially growing teams enabling you to hire, develop, and retain senior technical talent in a competitive market. /li liStrong product and business acumen. You can work with PMs and designers to shape a roadmap, not just execute one handed to you. /li liTrack record shipping with quality under velocity pressure (AI features and production APIs both carry high trust requirements from customers). /li liComfortable managing across distinct team mandates having different profiles, stakeholders and rhythms. /li liExperience scaling teams from the ground up and operating through very ambiguous environments. Both teams are new at Pleo, the AI product space is fast‑moving but we expect you to drive delivery through clarity. /li /ul h3Why is this role a good fit for you /h3 ul liYou have experience building and growing highly specialised teams from 0 to 1.



You will need to play a key role in hiring the right talent and deploying them on relevant pieces of work. /li liYour product 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 people manager without technical conviction, or you prefer a coordination‑only leadership role. These teams are working in a technically complex space and need a leader with a credible point of view who can engage with the work, not sit above it. /li liYou want to manage a stable, well‑defined function. Both teams are being built and the role requires significant judgment about what good looks like. /li liYou are not comfortable with the cross‑functional complexity of spanning two distinct teams with different engineering profiles and stakeholder groups. /li /ul h3How You’ll Develop In This Role /h3 ul liDevelop a clear picture of where both teams are, the gaps in capability and structure, and the most important priorities to unblock first. /li liProgress hiring across both teams and set team up for success. /li liPartner with Product, Principal Data Engineer and technical leads to establish a clear delivery rhythm, quality bar, and roadmap for each team. /li liShip the AI features through Data AI Products and establish an evaluation and monitoring baseline. /li /ul h3The location /h3 pPlease note: 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. /p h3Show me the benefits! /h3 ul liYour own Pleo card (no more out‑of‑pocket spending!) /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 liFor our Team, we offer both 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 – we want to make sure that we’re supportive of families and help you feel that you don’t have to compromise your family due to work. /li /ul /p #J-18808-Ljbffr

📌 Senior Engineering Manager, Data & AI Products (Madrid)
🏢 Pleo
📍 Madrid