Top Tech Jobs & Startup Jobs

As a Senior Data Analyst, you will develop data models and pipelines, produce actionable insights, mentor peers, and drive decision-making for Kick's growth.

As a Senior MLOps Engineer, you will enhance ML operations by designing and maintaining infrastructure, implementing CI/CD pipelines, and collaborating with data scientists to streamline workflows.

Lead and structure the Portuguese-speaking affiliate team in Brazil, owning affiliate strategy, partner engagement, campaign optimisation, reporting, and cross-functional processes. Hire, mentor and manage team performance while driving pipeline growth and data-driven improvements to meet KPIs.

Manage and grow Easygo's sponsorship portfolio across regulated markets, ensuring alignment with local regulations and business objectives while delivering effective sponsorship strategies and maintaining partner relationships.

Lead and scale the global onboarding/induction program: design, deliver and continuously improve in-person and virtual experiences, run train-the-trainer, analyze survey/program data to drive fixes, report quarterly to leadership, and partner with People Ops, Talent Acquisition and Workplace Experience.

Lead cross-functional marketing campaign planning and execution: translate briefs into go-to-market plans, manage timelines, budgets and risks, coordinate stakeholders, ensure consistent customer touch points, track and optimise performance, and deliver final reporting and insights.

As a Staff Software Engineer, you'll lead frontend architecture, improve system scalability, mentor engineers, and deliver high-quality software solutions.

Develop and architect scalable software solutions for payments, leading technical discussions and mentoring teams while ensuring code quality and performance.

Manage accounts receivable and payable, maintain financial records, oversee month-end processes, and ensure compliance while supporting audits and reporting.

Partner with stakeholders to analyse and redesign finance processes, build and deploy automation and AI-driven solutions, guide system enhancements and integrations, maintain documentation and data governance, and lead training and change activities to embed scalable, secure finance solutions into business-as-usual.