Top Tech Jobs & Startup Jobs

Lead product development for Sphere, defining vision and roadmap, prioritizing features, working with engineering, research, and design, applying agile practices, and ensuring strong user experiences and stakeholder communication for an AI-driven investment platform.

The Backend Engineer develops and optimizes a Spring Boot application, implements best practices, troubleshoots performance, and collaborates with DevOps teams.

Lead design, development, and optimization of scalable Spring Boot microservices. Drive architectural decisions (Layered Architecture, DDD, Event-Driven), mentor engineers, collaborate with Product and DevOps, troubleshoot performance and security, and improve CI/CD and deployment automation. Work with relational and NoSQL databases and messaging systems.

Invitation to join a talent network for future roles across Milan, London, and New York. Candidates should be curious, analytical, strong communicators, proactive, and interested in financial markets, technology, and business innovation. Particularly welcomes backgrounds in Financial Services, SaaS, and Fintech. Benefits include competitive salary, flexible work, AI learning budget, international team, company retreats, and fast career progression.

As a Product Designer at MDOTM, you'll create user-friendly digital experiences, lead design from ideation to production, and advocate for users' needs while collaborating with cross-functional teams.

Join MDOTM as a Quantitative Data Scientist to translate business needs into technical solutions, evaluate ML model outputs, and design quantitative models integrated with investment strategies.

Join a small company where you'll have a significant impact, receive mentorship, and work with a cutting-edge tech stack in a fun, young environment.

This position offers impactful roles where choices matter, mentorship from skilled professionals, and a fun, collaborative work environment at a small company.

As a Data Engineer, you will design and maintain data pipelines, ensure data quality, optimize database performance, and collaborate with data teams to enhance data accessibility and processing.

As a Data Scientist, you'll develop AI models for financial market analytics, oversee the model lifecycle, and collaborate across teams for seamless integration.