pleo - Engineering Manager, GenAI Platform

United Kingdom - Hybrid4w ago

In Office Staff EMEA Cloud Computing Artificial Intelligence Engineering Manager VP of Data Team Leadership AWS Kubernetes Python Kotlin

Requirements

• 2. Hiring Manager interview: A 60-minute conversation with our VP of Data, deep diving into your management experience, data & AI literacy, and product acumen. • 3. 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. • 4. Final interview: A 30-minute conversation with our Chief Product & Technology Officer to discuss strategic vision, values and business acumen. • 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: • 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.

Responsibilities

• Lead the GenAI Platform team day-to-day as a builder-leader: delivery, quality, team development, and ways of working. • Own 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. • Manage the stakeholders 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 technical discussions and make good trade-off decisions. • 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. • 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. • We’re committed to helping you develop your career, whether that means taking on bigger projects, stepping into leadership, or acquiring new skills. • 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.

Benefits

• This role is a good fit for you if: • 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 if: • 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. • 💳 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 • 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: