Benefits:

• Competitive salary and benefits package.

• Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications.

• Opportunity to work with cutting-edge technologies.

• Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards.

• Annual health check-ups.

Education Requirements:

• Bachelor’s degree in computer science, Statistics, Mathematics, or related field.

Experience Requirements:

• Minimum of 5 years of proven experience in delivering Data Science solutions in a professional environment.

Responsibilities:

• Responsible for cleansing, filtering, and refactoring complex data from different sources, further analyzing, and investigating it to identify how they can be used to generate a model with high accuracy.

• Experience is model development and in performing model validation to support the integrity and improve the accuracy of the model

Benefits:

• Health & Commuter Benefits

• Flexible PTO

Education Requirements:

• Degree within Computer Science, Data Engineering, or a related field.

Experience Requirements:

• 2-3 years of industry experience developing ETL (Data processing pipeline) to integrate large volumes of data from various sources with a variety of database technologies.

• Experience setting up and managing large data pipelines

Other Requirements:

• Are you ready to work (hybrid) out of our downtown Manhattan office 3 days a week (Tuesday-Thursday)? (no relocation benefits)

• Do you require any form of visa sponsorship or immigration support? (Includes new or transfer H1, O1, PERM, F1-OPT, STEM extensions, etc.)

Responsibilities:

• Work within the Data Science team to implement various data pipelines for our end-to-end solutions.

• Provide active input into the design of our data product offerings portfolio and our data dissemination framework.

• Integrate the right tools and methods for data enhancement, data quality, data obfuscation, privacy measurement and enhancement.

• Implement data security and access controls throughout the data pipeline.

• Develop actionable tools for monitoring the health of implemented pipelines and identify and fix issues in real-time.

Benefits:

• Health & Commuter Benefits

• Flexible PTO

Education Requirements:

• Degree within Computer Science, Data Engineering, or a related field.

Experience Requirements:

• 2-4+ years of industry experience in applying AI/ML, preferably on well-known consumer data products or services.

• Hands-on experience in delivering production-ready code (Python, Java, etc.)

• Hands-on experience using modern big data pipelines (AWS, Google Cloud, Snowflake)

• AI/ML models, Natural language process (NLP) and data mining experience

Other Requirements:

• Are you ready to work (hybrid) out of our downtown Manhattan office 3 days a week (Tuesday-Thursday)? (no relocation benefits)

• Do you require any form of visa sponsorship or immigration support? (Includes new or transfer H1, O1, PERM, F1-OPT, STEM extensions, etc.)

Responsibilities:

• Process, cleanse, and verify the integrity of data used for downstream analytics products

• Apply advanced machine learning, graph analytics, data mining, statistical methods, algorithms, and time series models to vast amounts of user data to derive insights based on the knowledge graph (ontology)

• Participate in strategic planning and be responsible for the team roadmap and its execution.

Education Requirements:

• bachelor’s degree

Experience Requirements:

• two to five years of inside sales / telemarketing experience delivering quality CXO (CEO, CFO, CIO, etc.) business leads to highly motivated enterprise sales executives, and managing existing CXO relationships.

• Some expertise in industrial value chain operations (supply chain, maintenance, military, manufacturing, field services) is expected.

Education Requirements:

• Minimum Doctoral degree or in the last year of the Doctoral degree in Mathematics/Statistics, Computer Science, Physics or Electrical Engineering.

Other Requirements:

• Demonstrable capacity to produce high quality peer reviewed research.

• Familiar with Linux infrastructure and python (C++ familiarity would be beneficial).

• Preferably some knowledge of financial market mechanics.

• Approachable attitude to joint work and peer review and ability to present complex ideas in a concise manner.

• No previous experience is required.

• mathematics hobbyists

Education Requirements:

• Demonstrable interest in mathematics/physics, engineering or computer science (minimum BSc equivalent).

Experience Requirements:

• Experience as a software engineer either via work experience, side-project, open source etc.

• Experience with C++ and one scripting language, preferably Python.

Other Requirements:

• Ability to develop and optimize high-performance C++ code for low latency computation.

• Low level deep understanding and ability to look under the hood (assembly, libraries, memory model) to develop concise understanding of the workings.

• Strong awareness of best practices, code standards, building processes, test driven programming and code reviews.

• Interest in data structures and algorithm designs.

• Strong familiarity with Linux infrastructure.

• Approachable attitude to joint work and peer review and ability to present complex ideas in a concise manner.

• Staying up to date with emerging trends and technologies in the field of trading and financial markets

Education Requirements:

• Demonstrable interest in technology/computer science.

Experience Requirements:

• Good knowledge of security best practices.

• Knowledge of scripting languages (python,bash).

• Good familiarity with Linux administration and command line utilities.

• Experience with continuous integration.

• Familiarity with AWS is a plus.

Other Requirements:

• Experience with FIX and knowledge of financial instruments is advantageous.

Responsibilities:

• Security best practices and write-up of technical documents.

• Monitoring event-based systems.

• Liaising with all counterparties to resolve trading issues promptly.

• Development of automation tools and scripts.

• Automate infrastructure testing into CI pipeline.

Benefits:

• Salary and company ownership through equity

• Health, dental, and vision insurance for employees and dependents

• Time Off Policy and Paid Parental/Family Leave

• Reimbursement program for Individual Learning

Experience Requirements:

• A minimum of 5 years of industry experience in sales engineering.

• Previous experience in selling software to Fortune 500 companies.

Benefits:

• A competitive compensation package (base + equity) with bi-annual reviews, aligned to our quarterly OKR planning cycles

• Work at one of the fastest-growing tech startups, backed by top VC firms, Balderton & EQT Ventures

• A clear progression plan.

• Flexibility

• Work where you work best.

Experience Requirements:

• 6+ years of proven experience executing and leading in fast-changing, high-growth organisations (ideally in tech).

Responsibilities:

• Work with leaders across Cleo globally to prioritise, align and deliver communications about our most important strategic initiatives to ensure Cleople are informed, engaged, and inspired.

• Collaborate closely with senior leadership with divergent perspectives to discuss key issues and work behind the scenes to resolve disagreements, influence outcomes, and enable leader success.

• Partner with teams developing and executing the company’s strategic vision, helping them translate it into comprehensive communications plans.

• Take major initiatives off the Founder’s plate and lead them cross-functionally end-to-end.

• Bring the leadership team together and run team meetings in lieu of the CEO (prepare the agenda, take notes, assign action items, follow up, and hold owners accountable for rolling out key initiatives and decisions).

Benefits:

• A competitive compensation package (base + equity) with bi-annual reviews, aligned to our quarterly OKR planning cycles

• Work at one of the fastest-growing tech startups, backed by top VC firms, Balderton & EQT Ventures

• A clear progression plan.

• Flexibility

• Work where you work best.

Experience Requirements:

• 2+ years in a top-tier investment bank (e.g., J.P. Morgan, Goldman Sachs, Morgan Stanley), leading consultancy (e.g., McKinsey, Bain, BCG), or a high-growth startup in a strategy or operations role.

Responsibilities:

• Identify and lead high-impact initiatives across Cleo, solving critical challenges and driving large-scale change.

• Dive into departments and processes that need improvement, quickly identifying pain points and executing solutions.

• Track, monitor, and improve department-level performance metrics to drive efficiency and accountability.

• Collaborate with product, business development, and operations teams to align priorities and execute complex initiatives.

• Build scalable frameworks and models to support Cleo’s rapid growth globally.

Benefits:

• A competitive compensation package (base + equity) with bi-annual reviews, aligned to our quarterly OKR planning cycles

• Work at one of the fastest-growing tech startups, backed by top VC firms, Balderton & EQT Ventures

• A clear progression plan.

• Flexibility

• Work where you work best.

Experience Requirements:

• Extensive experience building and deploying Machine Learning models to production

• Experience managing and developing high performing teams of data scientists and ML engineers

Responsibilities:

• Understanding core problems faced by our Payments & Lending team and leading the team to overcome them - this could include understanding user’s solvency, customer segmentation, retention, payment processing and more

• Finding opportunities for model and product improvements in Cleo's extensive datasets of transactions, bank balances, and customer behaviour.

• Impacting Cleo’s bottom line through improving our lending eligibility and decisioning systems

• You’ll be responsible for people management of the data scientists & ML engineers in your squads, coaching and developing them to deliver on the roadmap.

• You’ll build out the headcount plan and will be responsible for all hiring and team development within your area to support our growth.

Benefits:

• A competitive compensation package (base + equity) with bi-annual reviews, aligned to our quarterly OKR planning cycles

• Work at one of the fastest-growing tech startups, backed by top VC firms, Balderton & EQT Ventures

• A clear progression plan.

• Flexibility

• Work where you work best.

Experience Requirements:

• 3-5 years of experience in data science, machine learning engineering, or related roles

Responsibilities:

• Training and fine-tuning models to help customers get more value from our chatbot and app through deeper personalisation, creating a smarter & more engaging experience, recommending the right content and features to make users love Cleo

• Deploying these models into our production environments using our in-house ML platform, which you can read about on our blog: [Let's have an Espresso: MLOps at Cleo](https://web.meetcleo.com/blog/lets-have-an-espresso-mlops-at-cleo).

• Integrating LLMs hosted by OpenAI, Anthropic, GCP, AWS

• Working cross-functionally with backend engineers, data analysts, UX writers, product managers, and others to ship features that improve our users’ financial health

• Driving the adoption of appropriate state-of-the-art techniques for recommendation, message campaign optimisation, and contextual bandits.

Benefits:

• A competitive compensation package (base + equity) with bi-annual reviews, aligned to our quarterly OKR planning cycles

• Work at one of the fastest-growing tech startups, backed by top VC firms, Balderton & EQT Ventures

• A clear progression plan.

• Flexibility

• Work where you work best.

Experience Requirements:

• Experience in industry machine learning roles as a technical leader or principal/staff engineer.

• Excellent knowledge of both Data Science (python, SQL) and production tools

Responsibilities:

• Training and fine-tuning models to help customers get more value from our chatbot and app through deeper personalisation, creating a smarter & more engaging experience

• Deploying these models into our production environments using our in-house ML platform, which you can read about on our blog: [Let's have an Espresso: MLOps at Cleo](https://web.meetcleo.com/blog/lets-have-an-espresso-mlops-at-cleo).

• Integrating our models with LLMs hosted by OpenAI, Anthropic, GCP, AWS

• Working cross-functionally with backend engineers, data analysts, UX writers, product managers, and others to ship features that improve our users’ financial health

• Driving the adoption of appropriate state-of-the-art techniques for recommendation, message campaign optimisation, and contextual bandits.

Benefits:

• A competitive compensation package (base + equity) with bi-annual reviews, aligned to our quarterly OKR planning cycles

• Work at one of the fastest-growing tech startups, backed by top VC firms, Balderton & EQT Ventures

• A clear progression plan.

• Flexibility

• Work where you work best.

Experience Requirements:

• 4+ years experience doing quantitative analysis in a digital product environment

Responsibilities:

• Conduct deep-dive analysis of the product ecosystem to understand user behaviour and to identify the highest impact areas for growth

• Collaborate in a cross-functional squad to experiment with pricing tiers and feature bundles, optimising the mix to drive profitability and deliver value to Cleo's users

• Build frameworks for analysing LTV / unit economics, and the commercial viability of new product bets

• Project business KPIs and company profitability to measurable levels of accuracy

• Define how we quantitatively evaluate product success, setting KPIs, designing tracking to measure what really matters

Benefits:

• A competitive compensation package (base + equity) with bi-annual reviews, aligned to our quarterly OKR planning cycles

• Work at one of the fastest-growing tech startups, backed by top VC firms, Balderton & EQT Ventures

• A clear progression plan.

• Flexibility

• Work where you work best.

Experience Requirements:

• 7+ years experience in a data/analytics field.

Responsibilities:

• Work with Chat pillar leadership to build a discovery roadmap and ensure we make data-driven decisions to improve the quality of chat interactions, understand our users’ current financial reality, and leverage chat to coach users towards meeting their goals.

• Set best practices and support the team in OKR planning, linking Chat improvements to increased user engagement and retention and setting a standard for how to prioritise initiatives on the product roadmap.

• People-manage those in the team, promoting their performance and development.

• Oversee the workload and strategy of the analysts in your area, ensuring your team is motivated, fulfilled, and driving impact.

• Proactively deliver high-impact analysis that directs pillar-wide product roadmapping.

Benefits:

• A competitive compensation package (base + equity) with bi-annual reviews, aligned to our quarterly OKR planning cycles

• Work at one of the fastest-growing tech startups, backed by top VC firms, Balderton & EQT Ventures

• A clear progression plan.

• Flexibility

• Work where you work best.

Responsibilities:

• People management:

• Technical leadership:

• Delivery ownership:

• Team development:

• Hiring and growth:

Benefits:

• A competitive compensation package (£110,000 + equity) with bi-annual reviews, aligned to our quarterly OKR planning cycles

• Work at one of the fastest-growing tech startups, backed by top VC firms, Balderton & EQT Ventures

• A clear progression plan.

• Flexibility

• Work where you work best.

Benefits:

• A competitive compensation package (base + equity) with bi-annual reviews, aligned to our quarterly OKR planning cycles

• Work at one of the fastest-growing tech startups, backed by top VC firms, Balderton & EQT Ventures

• A clear progression plan.

• Flexibility

• Work where you work best.

Experience Requirements:

• industry experience of using React Native / React with TypeScript for a minimum of 2+ years.

Responsibilities:

• Joining a cross-functional product squad with a mix of frontend engineers, designers, UX writers, backend engineers, data analysts and others to develop features that improve our users’ financial health

• Working on our React Native application, building out amazing experiences for our users which bring financial health to life in the unique Cleo tone of voice.

• Writing automated tests alongside your code to give us the confidence to ship it

• Using AB-Tests, feature flags and other tools that let us iterate quickly

• Using data to dig into user journeys, detecting problems and helping to optimise the Cleo experience

Benefits:

• A competitive compensation package (base + equity) with bi-annual reviews, aligned to our quarterly OKR planning cycles

• Work at one of the fastest-growing tech startups, backed by top VC firms, Balderton & EQT Ventures

• A clear progression plan.

• Flexibility

• Work where you work best.

Experience Requirements:

• has at least 5 years industry experience of using Ruby on Rails.

Responsibilities:

• Leading (in an IC capacity) a cross-functional product squad and collaborating with a mix of engineers, designers, analysts and other disciplines to develop features that enhance our users' financial health.

• Collaborating with other senior peers in your pillar to provide technical insight into upcoming work, and leading the delivery by helping pull everyone together to get it shipped.

• Mentoring colleagues to help them grow as engineers and actively supporting their development.

• Working on our Ruby on Rails monolith, building data models, APIs, and business logic services.

• Delivering your work using agile methodologies and tools like tests, observability, AB-tests, and feature flags.

Responsibilities:

• Build and optimize AI-powered self-service solutions, enhancing customer experiences.

• Develop scalable front-end & back-end systems with modern tech.