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Senior Customer Solution Architect
Turn raw network data into actionable intelligence to unlock new revenue, improve operations, and drive deeper user engagement for large-scale network operators.
Benefits:
Flexible Work
Team Gatherings
Career Growth
Performance Bonuses
Referral Rewards
Experience Requirements:
Strong technical background in networking, cloud services (AWS), and cybersecurity
10+ years of combined experience in senior technical roles within large ISPs / NSPs
Proven experience in customer-facing technical roles (Solutions Architecture, Pre-Sales)
Excellent communication, presentation, and documentation skills
Proven ability to lead complex technical discussions
Other Requirements:
Experience with API and Mobile SDK integrations
Ability to collaborate across EMEA and AMER teams
Fluency in English
Stakeholder management capabilities
Responsibilities:
Engage with customers to understand business and technical requirements
Design and integrate CUJO AI products into customer environments
Lead technical workshops and architecture discussions
Deliver tailored demos and architecture walkthroughs
Lead proof-of-concepts and technical evaluations
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Principal Machine Learning Engineer - Personalisation
Cleo is an AI money pro designed to simplify your finances. It offers budgeting, saving, credit building, and cash advance features, using AI to provide personalized advice and support.
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.
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