National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Chief Financial Officer

Rainbird Technologies
Norwich
6 months ago
Applications closed

Related Jobs

View all jobs

Personal Assistant to CTO and Team Assistant

Data Analyst, Leading Global Family Office - Middle East based role

Business Data Analyst

Data Engineer

Chief Data Scientist

Chief Data Scientist

Company Overview Rainbird Technologies is a pioneering leader in Decision Intelligence, delivering "AI the world can trust." Founded in 2013, we are revolutionising how organisations make complex decisions through our no-code platform that combines extended knowledge graphs, symbolic reasoning, and machine learning. Our technology enables precise, explainable, and explainable AI solutions across banking, financial services, insurance, tax, healthcare, and legal sectors. As we prepare for significant expansion and Series A funding, we're seeking a strategic CFO to help drive our next phase of growth.

Remember to check your CV before applying Also, ensure you read through all the requirements related to this role.Position Overview We are transitioning from a fractional CFO structure to a full-time CFO role to support our ambitious growth plans. The successful candidate will be a key member of the executive team, driving financial strategy and steering the company through Series A and subsequent Series B funding rounds. This role offers the opportunity to shape the financial future of a cutting-edge AI technology company at a pivotal moment in its growth journey.Key ResponsibilitiesStrategic Financial Leadership

Partner with the CEO to develop and execute financial strategies that support rapid scale-upProvide strategic financial insights and recommendations to the board and executive teamLead long-term financial planning aligned with company objectivesStructure and optimise the company's financial operations for scaleFundraising and Investor Relations

Preparation of financial models for a Series A funding roundBuild and maintain relationships with venture capital investorsContribute to the creation of compelling investment materialsLead investor communications and reportingDevelop and maintain the company's equity storyFinancial Planning and Analysis

Extend existing financial planning and analysis capabilitiesImplement advanced forecasting and scenario planning modelsDevelop and track KPIs that align with SaaS/AI industry standardsCreate detailed board reports and strategic analysesMonitor and analyse market trends and competitive landscapeFinancial Operations, Risk Management, and Compliance

Modernise and scale financial systems and processesEnsure robust financial controls and compliance frameworksOptimise cash management and treasury operationsManage existing banking relationships and negotiate terms for future banking arrangementsEnsure accurate and timely maintenance of the company’s books and records in compliance with regulatory standardsDevelop and execute comprehensive risk management strategyManage tax strategy and planning, including R&D tax creditsLead procurement strategy and vendor cost optimisationOversee audit processes and relationshipsLead ISO27001 compliance and certification maintenanceManage G-Cloud framework participation and complianceOversee legal affairs and external counsel relationships to optimise costsMaintain and update compliance documentation and proceduresDrive cost efficiencies across the organisation through process improvementImplement and monitor risk management frameworks across financial, operational, and compliance areasTeam Development

Lead and mentor the Finance Manager and future finance team membersEstablish clear roles, responsibilities, and career development pathsFoster a culture of excellence and continuous improvementRequired QualificationsEducation and Professional Qualifications

Bachelor's degree in Finance, Accounting, Economics, or related fieldA suitable professional qualification (ACA, ACCA, or equivalent)Professional risk management certification (e.g., FRM, IRM) desirableMBA advantageousExperience

10+ years of progressive financial leadership experienceDemonstrable experience in tech/SaaS/AI industry very strongly preferredTrack record in successful fundraisingExperience scaling finance functions in high-growth environmentsStrong understanding of UK financial regulations and compliance requirements with US experience an advantageExperience with managing regulatory compliance frameworksTrack record of managing legal affairs and external counsel relationshipsTechnical Skills

Expert in financial modeling and analysisProficient in modern financial software and systems (especially Xero)Experience implementing and integrating financial technology solutionsUnderstanding of SaaS metrics and AI industry dynamicsLeadership Capabilities

Strategic mindset with excellent problem-solving abilitiesOutstanding communication and presentation skillsProven ability to influence and collaborate at board levelExperience building and leading high-performing teamsCompensation Package

Competitive base salary commensurate with experienceParticipation in employee stock option plan (ESOP)Private healthcare and other benefitsProfessional development supportFlexible working arrangements between London and Norwich officesHow to Apply Please submit your CV and a cover letter explaining your interest in Rainbird Technologies and how your experience aligns with our requirements to . Please include "CFO Application - [Your Name]" in the subject line.Rainbird Technologies is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

#J-18808-Ljbffr

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.