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: Permanent
Location: Hybrid or Remote (UK) with flexibility to work with global clients
Package: 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…
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
- Manage expectations across business and technical teams
- Support customers in adopting Rainbird and embedding decision automation into operations
Agile Delivery & Team Coordination
- Coordinate multidisciplinary teams (knowledge engineers, solution engineers, partners)
- Track progress against sprint goals and overall roadmap
- Remove blockers and optimise team delivery performance
Quality Assurance & Value Realisation
- Ensure solutions meet functional and non‑functional requirements
- Validate decision logic accuracy, explainability, and auditabilityDrive measurable outcomes (e.g., efficiency gains, compliance improvements)
- Support transition to BAU, including handover, documentation, and training
Required Skills & Experience
Core Experience
- PMI‑ACP or AIPM certification
- Proven experience as a Project Manager in:
– AI / automation / data platforms
– Complex enterprise software delivery
- Strong experience delivering integration‑heavy solutions (APIs, data pipelines, workflows)
- Experience working in Agile / Scrum environments
- Demonstrated ability to manage multiple concurrent projects
- Proficiency with project management tools like Jira, MS Project, Monday.com or similar platforms
- Proficiency with collaboration tools (for hybrid teams)
- Experience in regulated industries (financial services, insurance, healthcare, legal)
Technical Understanding
- Familiarity with:
– APIs, JSON, system integrations
– Data modelling / knowledge representation concepts
– Cloud environments (AWS, Azure, GCP)
- Understanding of AI/ML concepts (bonus: knowledge graphs)
Client‑Facing Skills
- Strong stakeholder management and communication skills
- Ability to translate between technical and non‑technical audiences
- Experience running workshops and structured delivery sessions
- Exposure to decision automation, rules engines, or knowledge graph technologies
- Experience working with partners or subcontractors in delivery models
- Highly organised, delivery‑focused, and pragmatic
- Comfortable operating in fast‑paced, scaling environments
- Strong problem‑solving mindset with attention to detail
- Ability to manage ambiguity and evolving requirements
- Collaborative and proactive leadership style
Success Measures
- Projects delivered on time, on scope, and on budget
- High client satisfaction and adoption of Rainbird solutions
- Measurable business impact (efficiency, accuracy, compliance)
Rainbird is an equal opportunities employer.
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