Manager, Data & AI

Back to jobsManager, Data & AIPragueApply ShipMonk isn't just a 3PL — we're the tech-powered growth partner for ecommerce brands, running 12+ owned fulfillment centers across the US, Canada, the UK, and Europe so our merchants can stress less and grow more. ShipMonk is hiring a Manager, Data & AI to shape and lead a new team inside Product Development. The team is roughly defined — senior data scientists and data engineers focused on transportation (Virtual Carrier Network optimization, predictive routing, claims) and IMS (Inventory Management System) data products, plus one AI Consultant who works horizontally across ShipMonk to identify and ship AI use cases — and we are actively hiring all of these roles now. Some hires may already be in the pipeline or signed by the time you start. Your job is to shape who actually lands in each seat, onboard them well, find the team's place in the org, and then make sure models reach production, savings show up in the P&L, and insights become product features merchants actually use.   You are an active, daily user of modern AI tools and you think about AI as a strategic lever, not a feature. You will set the AI agenda for the team and for ShipMonk's data function. The AI Consultant reports to you because you are the person who decides what's worth building, what's hype, and where AI changes the economics of how the company runs. Candidates who treat AI as someone else's job, or as a buzzword to put on a slide, are not the right fit for this role.   We hire Managers first and foremost for ownership, delivery, and the ability to turn a fresh team into a compounding one. Technical credibility is the floor — you must be sharp enough to interview senior data scientists and engineers, sit in design reviews, and earn respect from the people you hire — but we are not looking for the strongest IC in the room. We are looking for a builder who is fluent in AI, moves fast on hiring, onboards people into a clear mission, and turns a new team into a serious operating unit inside two or three quarters. About the Role You will report to the Director of Data Platform and partner directly with Product, Operations, CX, and Finance to shape the team's mandate and unblock delivery. The first version of the team is roughly five to seven people: a mix of senior data scientists and data engineers covering transportation and IMS, plus one AI Consultant. Hiring is happening in parallel with your own onboarding — depending on timing, you may join some hires already in the pipeline and others still to be opened. You will own the bar, the interview loop, and the final calls from the moment you start.   This role is a clear growth platform. With the right results, the natural growth path is Senior Manager or Director of Data, with broader scope across analytics, ML platform, and AI. The Technical Environment You don't need to be the deepest expert in our stack, but you will be expected to be conversant in it, run sharp technical interviews, and pair on hard problems when the team needs depth.   Languages & tooling: Python, SQL, dbt. Warehouse & infra: Snowflake (or comparable cloud warehouse), AWS, Kubernetes, Argo CD. ML & data: model training and serving in production, feature pipelines, monitoring. Workflow: GitLab CI, code review, observability via DataDog and Sentry. AI tooling: Claude Code, Cursor, Copilot, and our internal Claude skills are part of how the team will work from day one. Key Responsibilities Shape the Team and Make It Real The roles are defined and hiring is moving. Your job is to make sure the right people land in the right seats, onboard well, and become a team rather than five individual hires.   Step into the live hiring loop fast. Calibrate the bar, run final-round interviews personally, and own the close on every offer from your first week. Decide which open seat each strong candidate fits into. The roles are roughly scoped, not rigid — part of your job is matching the actual people you...