Implementation Project Manager

Skip to content Skip to navigation Implementation Project Manager Apply Now Join Rainbird as an Implementation Project Manager and lead the delivery of AI projects where precision, accountability, and real business impact matter. You’ll work with customers, knowledge engineers, solution engineers, and partners to take complex implementations from discovery through to production, keeping delivery on track while making sure the solution meets both technical and operational goals. This role is ideal for someone who is comfortable running complex enterprise projects, can translate between technical and business stakeholders, and wants to help organisations put trusted AI into practice in regulated, high-stakes environments. Contract Type: PermanentLocation: Hybrid or Remote (UK) with flexibility to work with global clientsPackage: Competitive, based on experience About Rainbird Rainbird is redefining the future of explainable AI. Our platform enables organisations to build deterministic, transparent decision-automation systems for industries where accuracy, trust, and accountability matter most – including healthcare, banking, insurance, and professional services.At the heart of Rainbird’s decisioning platform is a symbolic reasoning engine that makes every automated decision fully transparent, auditable, and justifiable. We empower enterprises to scale their expertise, combining human insight with machine precision.We’re growing fast in the UK and US, and this is an opportunity to join a mission-driven team shaping the future of trusted AI. Change will be part of your everyday life, working closely with colleagues remotely both here and in the US – adaptability is the name of the game… Interested? Why Rainbird? Impactful work: Help some of the world’s biggest enterprises solve complex, high-stakes business problems. Cutting-edge technology: Work at the intersection of symbolic reasoning, large language models, and explainable AI. Growth & learning: Accelerate your career with hands-on experience in knowledge modelling, decision automation, and hybrid AI. Remote-first culture: Work flexibly from anywhere, supported by a collaborative, inclusive, and curious global team. Great benefits: Competitive pay, generous holiday allowance and opportunities to lead in a rapidly expanding company. Key Responsibilities Project Delivery & Governance Lead end-to-end delivery of Rainbird implementations (Requirements gathering to Production-ready)  Define and manage project scope, timelines, milestones, tasks, resources, and deliverables with customers and possible third parties Establish clear governance, reporting cadence, and stakeholder communication  Manage risks, dependencies, and issue resolution across possibly complex engagements  Ensure alignment to agreed success criteria, ROI, and business outcomes End-to-end  Delivery Oversight Oversee solution architecture alignment (knowledge graphs, integrations, workflows)  Coordinate delivery across:– Knowledge Engineering (decision models / knowledge maps) – Solutions Engineering (Integration, APIs, data ingestion, orchestration tools) – Client systems and infrastructure  Ensure solutions are scalable, performant, and production-ready  Translate technical concepts into clear business language for stakeholders Client Engagement & Stakeholder Management Act as the primary delivery contact for customer and third party stakeholders  Facilitate workshops (discovery, requirements, design, sprint reviews, retrospectives)  Manage expectations across business and technical teams  Support customers in adopting Rainbird and embedding decision automation into operations Agile Delivery & Team Coordination Run Agile ceremonies (planning, stand-ups, demos, retros)  Coordinate multidisciplinary teams (knowledge engineers, solution engineers, partners)  Track progress against sprint goals and overall roadmap  Remove...