Cleo

About the Company

Cleo. Where AI meets money.

Cleo launched in 2016 by people who have been burned by banks. Fed up with the broken system, we decided it was time to make a change.

Since then, the cost of living has skyrocketed, the rich have continued getting richer, and our vision has only become clearer.

Our mission? To change the world's relationship with money.

Cleo is a platform for the 99% – an AI assistant defining a new category, one that goes beyond saving and budgets to actually changing how we feel about our finances.

Using simplicity and humor, she’s helped millions of people improve their relationship with money, because we believe that everyone has the potential to achieve financial well-being in just one generation.

Through a personalized chat, she provides you with deep insight about your money and tailored financial tools that increase your ability to save, all while making you laugh.

We’re a product for the next generation. That means that we are committed to inclusive and unbiased financial growth for all. It also means dropping the BS.

In the past year or so we’ve grown the Cleo team from 100 to 250+, and closed a $80m Series C led by Sofina (that’s a $500M valuation).

Want to get involved?

You know that awful feeling when you wake up wondering if what you’re about to do for the next 8 hours actually matters? That doesn’t happen here much.

Everything we do is grounded in purpose. And because we’re all showing up for the same reason, collaboration comes easy.

We have a culture of stepping up. We want, and expect you to grow and develop. You’ll have our support in everything you do. But more importantly, you’ll have our trust.

We treat our people as humans first, employees second, which means giving everyone a voice. All perspectives are embraced here.

Listed Jobs

Company Name

Cleo

Job Title

Tech Talent Sourcer

Job Description

**Job Title:** Tech Talent Sourcer **Role Summary** Proactively identify, engage, and build pipelines for high-caliber technical talent across engineering, product, data, and design functions. Partner with recruiters and hiring managers to align sourcing strategies with hiring needs and market trends. **Expectations** Proven experience sourcing technical talent (software engineering, product management, data science) in competitive markets. Proficiency in high-growth environments and fast-paced recruitment workflows. **Key Responsibilities** - Source candidates for technical roles via direct outreach, talent mapping, and networking. - Collaborate with recruiters to define hiring needs, market insights, and candidate expectations. - Build and maintain long-term talent pipelines for current and future hires. - Utilize LinkedIn Recruiter, AI tools (Greenhouse), and platforms (GitHub, Kaggle) for efficient sourcing. - Champion DEI by engaging underrepresented candidates and fostering inclusive hiring processes. - Experiment with Boolean search, x-ray techniques, and alternative platforms to improve sourcing efficacy. - Analyze hiring metrics and trends to refine strategies and drive results. **Required Skills** - Advanced sourcing techniques (Boolean logic, x-ray searching, social media). - Technical profile assessment (GitHub, coding portfolios, open-source contributions). - Data-driven decision-making using recruitment analytics. - Strong communication and relationship-building for proactive outreach. - Agile problem-solving and adaptability in dynamic, high-growth settings. **Required Education & Certifications** Not specified.

United kingdom

Remote

16-09-2025

Company Name

Cleo

Job Title

Director of AI

Job Description

**Job Title:** Director of AI **Role Summary:** Strategic leader responsible for defining and executing the AI/ML vision, driving applied research in large language models and AI agents, and delivering scalable, user‑focused AI products. Builds and leads high‑performance research and engineering teams, collaborates cross‑functionally with product and leadership, and ensures the organization stays at the forefront of generative AI, NLP, and reinforcement learning. **Expectations:** - Set and own a multi‑year AI roadmap aligned with business goals. - Translate cutting‑edge research into production‑ready features. - Lead a large, elite team of ML researchers and engineers. - Partner with product, engineering, and senior leadership to embed AI across the product suite. - Communicate complex AI concepts clearly to both technical and non‑technical stakeholders. - Deliver measurable impact on product performance and user experience. **Key Responsibilities:** - Define AI strategy and maintain an up‑to‑date ML/AI roadmap. - Lead applied research on LLMs, AI agents, generative AI, and reinforcement learning. - Recruit, mentor, and manage senior ML talent across product squads and a central research group. - Drive integration of AI capabilities into product features, ensuring scalability and reliability. - Stay current with state‑of‑the‑art AI developments and apply relevant advances. - Provide strategic insights and regular updates to senior leadership. - Ensure cross‑functional alignment and execution of AI initiatives from concept to launch. **Required Skills:** - Proven track record leading end‑to‑end AI product development and research. - Deep technical expertise in large language models, AI agents, generative AI, NLP, and reinforcement learning. - Strong strategic planning and roadmap development abilities. - Hands‑on experience building and deploying ML/AI systems at scale. - Excellent people management and team‑building capabilities. - Effective cross‑functional collaboration with product, engineering, and executive teams. - Outstanding communication skills; ability to simplify complex technical concepts. - Demonstrated execution mindset—delivering projects on time and with impact. **Required Education & Certifications:** - Ph.D. or Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a closely related field from a top‑tier institution. - Relevant publications or patents in advanced AI/ML research (preferred). - No specific certifications required; however, recognized AI/ML credentials (e.g., TensorFlow, PyTorch, AWS ML certifications) are a plus.

London, United kingdom

Hybrid

19-09-2025

Company Name

Cleo

Job Title

Platform Engineer (SRE)

Job Description

**Job Title:** Platform Engineer (SRE) **Role Summary:** Oversees infrastructure, tooling, and platform scalability to ensure system reliability, performance, and operational efficiency for product teams. Focuses on optimizing processes and fostering resilience across engineering workflows. **Expectations:** Deliver scalable platform solutions, implement best practices for monitoring and alerting, and drive cross-team collaboration on incident response and resilience. **Key Responsibilities:** - Architect and enhance platform tooling (SLIs/SLOs, IaaC, deployment pipelines). - Conduct post-incident reviews and resilience testing. - Optimize Ruby monolith and infrastructure for scalability, cost, and performance. - Develop and manage infrastructure components (EKS/Kubernetes, RDS, Redis). - Support engineering teams with troubleshooting and tooling best practices. - Maintain and refine deployment pipelines (e.g., CircleCI). **Required Skills:** - 4+ years in SRE/DevOps/platform engineering. - Hands-on expertise in Kubernetes/EKS, RDS/Postgres, Redis. - Proficiency in monitoring tools (Prometheus, Grafana, Coralogix, Sentry, OpenTelemetry). - Experience defining SLIs/SLOs and error-budget reviews. - Strong leadership in incident management and post-mortems. - Knowledge of Ruby on Rails. **Required Education & Certifications:** - Bachelor’s or advanced degree in computer science or equivalent technical field. - Relevant certifications in cloud infrastructure or automation (e.g., AWS, Kubernetes) preferred.

London, United kingdom

Hybrid

03-10-2025

Company Name

Cleo

Job Title

Senior Machine Learning Engineer - Credit Risk

Job Description

Job title: Senior Machine Learning Engineer – Credit Risk Role Summary: Develop, deploy, and optimize production machine learning models for credit risk assessment within the Cash Advance product, driving policy improvements and decision efficiency. Expectations: - Deliver high‑quality, production‑ready ML solutions that directly influence lending decisions. - Own the end‑to‑end lifecycle of credit risk models, from data ingestion to deployment and monitoring. - Collaborate closely with credit analysts and cross‑functional teams to align models with business objectives. - Spearhead experimentation (A/B) and use results to iterate on models and policy. - Communicate complex findings to non‑technical stakeholders in clear, actionable terms. Key Responsibilities: - Improve and maintain existing risk classification models. - Experiment with causal and alternative modelling approaches. - Build models on transaction, balance, and behavioural data to predict user solvency and creditworthiness. - Design and implement scoring workflows that feed into product eligibility systems. - Lead data science initiatives, mentor teammates, and influence the ML roadmap. - Deploy models using CI/CD pipelines, container orchestration, and cloud services. - Conduct performance monitoring, bias audits, and continuous improvement cycles. Required Skills: - Advanced proficiency in Python and SQL for production‑grade code. - Experience deploying ML models at scale (Docker/Kubernetes, SageMaker, or equivalent). - Strong knowledge of classification techniques, especially for imbalanced data and risk scoring. - Proven ability to run A/B experiments and quantify impact. - Excellent written and verbal communication with non‑technical audiences. - Leadership capability and a proactive approach to shaping ML strategy. - Familiarity with AWS services (EC2, S3, SageMaker) and container lifecycles is a plus. Required Education & Certifications: - Bachelor’s or Master’s degree in Computer Science, Statistics, Data Science, applied mathematics, or a related technical field. - Industry certifications (e.g., AWS Certified Machine Learning, TensorFlow Developer) are advantageous but not mandatory.

London, United kingdom

Hybrid

Senior

05-10-2025