ParleyX is a founder‑led talent consultancy that specializes in technical hiring for AI and SaaS scale‑ups, serving post‑seed to Series D companies across Europe and the US. The firm focuses on building high‑performing teams in Machine Learning, MLOps, Data Engineering, and Software Engineering, with a consultative, community‑driven approach that evaluates cultural fit and long‑term impact beyond technical skills. ParleyX differentiates itself through embedded recruitment, fractional talent partnerships, and project‑based hiring solutions that seamlessly integrate into a company’s ecosystem. Headquartered in Lisbon and London, ParleyX partners with founders to shape the next generation of AI, fintech, and deep‑tech organizations.
Open Positions
Technical Lead (React/Next.js)
15+ years of experience, deep hands-on experience with React and Next.js, and strong knowledge of RESTful APIs
Frontend Engineer (React)
5+ years of frontend experience, strong problem-solving skills, and fluent in English
Data Engineer
Proven experience writing and maintaining data pipelines, strong coding skills in Python and SQL, and experience deploying data-centric applications in cloud environments
Senior Growth Specialist (Paid Search)
Bachelor's degree in Marketing, Business, Communications, or related field, 5+ years of experience in paid search, performance marketing, or digital advertising, Proficiency in Google Ads, Bing Ads, and Google Analytics
AI Engineer
AI/LLM integration experience, prompt engineering, backend engineering, and strong problem-solving skills
Senior Frontend Engineer
7+ years of frontend development experience, 4+ years using React, and excellent collaboration and communication skills
Senior Backend Engineer
10+ years of backend development experience, 4+ years in senior roles, strong knowledge of Microservices and CQRS
Mobile Tech Lead
7+ years of professional experience in software development, 3+ years of hands-on experience with React Native, proven experience building and scaling native apps
Senior Data Scientist
PhD in a quantitative field or Master's with strong applied experience, programming proficiency in Python and ML frameworks, hands-on experience with ML model deployment, and ability to work with at least one of: object detection, causal inference, LLMs/NLP, reinforcement learning, or sensor fusion