Top Tech Jobs & Startup Jobs

Support the CRM Technical Manager and team to deliver automated, data-driven email, SMS and messaging campaigns. Responsibilities include troubleshooting journeys and HTML rendering, managing automations and integrations, QA and data quality, IP warm-ups and deliverability, building HTML modules, monitoring campaigns, handling Jira tickets, and working cross-functionally with Analytics, Product and Tech.

Maintain accurate merchant records, onboard new merchants end-to-end, run regular quality checks on deals/pages, manage content and access, and coordinate with Commercial, BI, and Operations to improve processes and automation.

The Senior Data Operations Manager will optimize data operations, manage automation processes, ensure data quality, and support strategic planning in a financial operations team.

Own and maintain dashboards and commercial reports, run SQL queries against BigQuery, build models (channel performance, cohort analysis, GP forecasting), partner with marketing/product/commercial teams to turn data into recommendations, and use AI to accelerate analysis and automation.

The Paid Social Lead will develop and execute social media strategies, manage budgets, optimize campaigns, and lead a team to drive revenue and ROI.

Entry-level analytics role supporting commercial decisions: build and maintain Tableau dashboards, pull and clean data from BigQuery and GA4, run acquisition/conversion/retention analyses, and communicate clear findings to commercial, marketing, and product teams while learning the full data stack.

The Performance Marketing Specialist will manage and optimize paid acquisition campaigns across Paid Social and Native channels, focusing on driving traffic and improving conversion quality while collaborating with various teams.

Lead the product function at Quantum, overseeing strategy, execution, and team leadership. Ensure alignment with commercial goals and customer needs while driving a culture of continuous delivery and experimentation.

The Senior Data Engineer will design and build a scalable real-time data backbone, focusing on data pipelines, integration, and collaboration with teams to support analytics and business objectives.