Senior Engineering Manager, Data & AI Products

requirements of production AI features, product teams, and external customers directly accessing their data. Manage resourcing and hiring across both teams through a period of growth. Represent both teams in leadership and cross-functional discussions, translating technical progress and blockers into clear decisions needed. Partner with the Manager of GenAI Platform to ensure product demand shapes the platform roadmap. 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 technical discussions and make good trade-off decisions. What you bring You’ll thrive in this role if you have: Proven experience leading cross-functional teams building AI-powered or data-intensive customer-facing products. Technical 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. Experience building or substantially growing teams enabling you to hire, develop, and retain senior technical talent in a competitive market. Strong product and business acumen. You can work with PMs and designers to shape a roadmap, not just execute one handed to you. Track record shipping with quality under velocity pressure (AI features and production APIs both carry high trust

requirements from customers). Comfortable managing across distinct team mandates having different profiles, stakeholders and rhythms. Experience 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. Why is this role a good fit for you This role is a good fit for you if: You 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. Your 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. 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 if: You 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. You want to manage a stable, well-defined function. Both teams are being built and

the role requires significant judgment about what good looks like. You are not comfortable with the cross-functional complexity of spanning two distinct teams with different engineering profiles and stakeholder groups. How you’ll develop in this role In your first 6 months at Pleo, you’ll: Develop a clear picture of where both teams are, the gaps in capability and structure, and the most important priorities to unblock first. Progress hiring across both teams and set team up for success. Partner with Product, Principal Data Engineer and technical leads to establish a clear delivery rhythm, quality bar, and roadmap for each team. Ship the AI features through Data & AI Products and establish an evaluation and monitoring baseline. We’re committed to helping you develop your career, whether that means taking on bigger projects, stepping into leadership, or acquiring new skills. The location Please 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. Show me the

benefits! 💳 Your own Pleo card (no more out-of-pocket spending!) 🍜 Lunch is on us for your work days - enjoy catered meals or receive a lunch allowance based on your local office 🏥 Comprehensive private healthcare - depending on your location, coverage options include Vitality, Alan or Médis 🌴 We offer 25-28 days of holiday (depending on your location) + public holidays 🏠 For our Team, we offer both hybrid and fully remote working options 🏖️ Option to purchase 5 additional days of holiday through a salary sacrifice ❤️‍🩹 We use MyndUp to give our employees access to free mental health and well-being support with great success so far 👶 Paid 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 The interview process We want to ensure you are set-up for success and understand what will be expected of you. If your application is successful, our interview process is as follows: Intro call: A 30-minute chat with our Talent Partner to discuss

the role and your background. Hiring Manager interview: A 60-minute conversation with our VP of Data, deep diving into your management experience, data & AI literacy, and product acumen. Technical interview: A 75 to 90-minute practical interview where we'll assess your knowledge of AI and product engineering on a real-life like scenario. Final interview: A 30-minute conversation with our Chief Product & Technology Officer to discuss strategic vision, values and business acumen. Transparency is important to us so we also wanted to share some insights about what we’re looking for in applications to ensure you can set yourself up for success! We tend to receive really high volumes of applications for AI-related roles but less than 1% tend to be selected for an intro call. Some of the key reasons why previous candidates didn’t make it past the application screening stage include: CV writing and content: we receive a lot of CVs, and many of them are AI-generated. We love seeing people leverage AI—it’s a big focus for us internally too—but without human intervention, these CVs can sometimes become generic and fail to show a candidate in the best light. What we're really looking for is the specific details of real impact that only you know from your previous experience. A top tip from us is to use the “Achieved X, as measured by Y, by doing Z” formula (credit: Laszlo Bock, ~2014) to give a really clear picture of what you’ve worked on. A final note: including links to your previous companies' websites is a huge help and allows us to truly understand your background! Application care: every single application we receive is reviewed by a human (yes, hundreds of them) because we believe that candidates' efforts should be matched by an equal level of human care. This means that we expect a similar level of attention put into your application. Read and answer the application questions carefully, they make a huge difference in our decision-making process. Profile to role fit: we are looking for extensive experience of building AI/data related products and concurrently managing multiple teams. If you have not worked in mature data and product engineering environments with a very deep understanding of both worlds, this role is not right for you. About your application English first. Since it's our company language, please submit your application in English. You’ll be using it a lot if you join us. A fair look for everyone. Our talent team reads every single application to ensure the process is fair. To keep things running smoothly, we only accept applications through our system—our support team can’t pass on calls or emails. Diversity drives us. We can only reach our goals if our team reflects the world around us. That starts with you hitting apply, even if you don't tick every single box. We encourage people from all backgrounds and experiences to join us. Interview at your best. We want you to feel comfortable throughout the process. If you have any accessibility

requirements or need a specific format, email [email protected]. We’ll design a process that works for you. Your data is safe. When you apply, we process your personal data as a data processor. For more information on how Pleo processes personal data, read our Privacy Policy here . Applying for multiple roles? Nothing is stopping you, and we assess every role independently. However, we do look for alignment, so make sure you can explain why your interest and experience are right for each specific role. Reapplying. If you’re applying for the same role again, please wait six months from your last decision before hitting submit.

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