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- Tasks: Lead AI project delivery, ensuring solutions meet technical and operational goals.
- Company: Join Rainbird, a pioneering company in explainable AI.
- Benefits: Competitive salary, generous holiday allowance, and flexible remote work options.
- Other info: Dynamic, mission-driven team with opportunities for career growth.
- Why this job: Make a real impact by solving complex business problems with cutting-edge technology.
- Qualifications: Experience in project management, particularly in AI or automation.
The predicted salary is between 60000 - 75000 £ per year.
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 auditability. Drive 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.
Implementation Project Manager in London employer: Rainbird Technologies
Contact Detail:
Rainbird Technologies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Implementation Project Manager in London
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by researching the company and its projects. Show them you’re not just another candidate; you’re genuinely interested in how you can contribute to their mission.
✨Tip Number 3
Practice your pitch! Be ready to explain how your skills align with the role of Implementation Project Manager. Highlight your experience with AI projects and stakeholder management.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about joining our team.
We think you need these skills to ace Implementation Project Manager in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Implementation Project Manager. Highlight your experience with AI projects, project management tools, and any relevant certifications. We want to see how your skills align with our mission at Rainbird!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a perfect fit for leading complex implementations. Let us know how you can help organisations put trusted AI into practice.
Showcase Your Communication Skills: As a Project Manager, you'll need to translate technical jargon into business language. In your application, give examples of how you've successfully communicated with both technical and non-technical stakeholders in the past. We love clear communicators!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team at Rainbird!
How to prepare for a job interview at Rainbird Technologies
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI concepts, especially those related to decision automation and explainable AI. Being able to discuss how these technologies can impact business outcomes will show that you're not just familiar with the tech, but you understand its real-world applications.
✨Master the Project Management Tools
Familiarise yourself with project management tools like Jira or Monday.com. Be ready to discuss how you've used these tools in past projects to manage timelines, resources, and deliverables. This will demonstrate your organisational skills and ability to keep projects on track.
✨Communicate Like a Pro
Practice translating complex technical jargon into clear, business-friendly language. You’ll need to engage with both technical and non-technical stakeholders, so being able to bridge that gap is crucial. Prepare examples of how you've successfully communicated in previous roles.
✨Showcase Your Agile Experience
Since this role involves working in Agile environments, be prepared to share specific examples of how you've managed projects using Agile methodologies. Highlight your experience with sprints, team coordination, and how you've tackled challenges in fast-paced settings.