Jobs at Quantum (quantum.media)

Supports the management, activation, and optimization of affiliate publishers across Quantum’s network. Monitors performance metrics, identifies risks and growth opportunities, contributes to reporting, conducts publisher outreach, assists with partner onboarding and campaign launches, maintains accurate partner data, performs tracking and operational QA, and collaborates with marketing, creative, paid media, and data teams.

Lead the design and operation of Quantum’s Google Cloud platform, infrastructure as code, CI/CD pipelines, developer tooling, observability, security, and incident response. Migrate acquired sites to a common deployment path, improve resilience and edge protection, and establish production readiness standards. Manage and mentor an infrastructure engineer, shape the platform roadmap, and help grow the platform team.

Leads quality engineering across two product teams by defining test strategy, building Playwright and TypeScript automation frameworks, improving CI reliability, maintaining end-to-end tests, introducing performance testing, and coaching developers. The role also establishes realistic test environments and data, partners with product managers on testable acceptance criteria, and uses quality metrics to guide engineering investment.

Manage a portfolio of cashback and loyalty merchant partners from onboarding through quarterly reviews. Grow revenue through rate renegotiations, upselling, new offer types, and increased spending commitments. Monitor account health, identify churn risks, activate new partners, and maintain accurate account and pipeline plans. The role requires strong commercial judgment, performance-data analysis, organization, collaboration, and experience with affiliate, cashback, loyalty, or performance marketing partnerships.

Support business decision-making by querying and analyzing Rewards and Core data with SQL, building reliable dashboards and reports, and translating findings into clear business recommendations. The role also involves using AI tools to improve analysis, developing independent ownership of projects, and communicating effectively with non-analysts and cross-functional teams.

Support building and maintaining data pipelines, onboard and transform partner data, monitor reliability, validate data quality, automate processes, and document pipeline logic to ensure trustworthy datasets for the business.

Leads the data engineering function, including team development, technical strategy, data infrastructure scaling, and delivery roadmap ownership. Partners with product, marketing, commercial, and executive leaders to prioritize data initiatives that drive business performance. The role requires hands-on technical credibility, strong commercial judgment, stakeholder communication, and adoption of AI-led development practices.

Own production forecasting and strategy models end to end, including data infrastructure, statistical and machine learning model selection, experimentation, evaluation, and decision-ready reporting. The role requires Python and SQL expertise, strong experiment design, and the ability to communicate complex analyses to non-technical stakeholders while collaborating with the analytics team and responsibly using AI.

Build and maintain batch and streaming data pipelines for the QiCore warehouse. Migrate acquired-business data into a unified platform and single customer view, model data for analytics, and ensure pipeline reliability, governance, testing, and quality. Monitor and resolve data issues at their root, support future acquisitions and migrations, and collaborate through code reviews in a fast-paced team environment.

Own the architecture and design standards for the QiCore data warehouse, including governance, data quality, privacy, access controls, customer identity, and retention. Lead migration of acquired businesses into a unified data model, establish repeatable integration patterns, support AI initiatives, prototype and debug pipelines, and guide data engineers. Partner with technical, analytics, commercial, security, privacy, and governance stakeholders to translate business needs into scalable data solutions.

Partners with the CTO and Tech leadership on employee relations, performance, restructures, growth, career development, manager capability, and team culture. Handles complex cases under UK employment law, supports Tech Directors, uses people analytics to identify workforce issues, and coaches senior technical leaders. The role also develops and executes culture and development plans for a fast-growing technology organization.

Business Analyst responsible for querying and analyzing Rewards and Core data using SQL, building accurate dashboards and reports, translating findings into clear business insights, and using AI tools to improve analytical workflows. The role involves independent ownership of analysis, collaboration across teams, and communicating results to non-technical stakeholders in a fast-paced environment.

Own commercial reporting and analytics for Rewards and Core data, including gross profit reconciliation, semantic layers, P&L reporting, LTV cohorts, customer views, retention economics, and CRM uplift analysis. Partner with Commercial, CRM, Finance, and senior stakeholders to turn analysis into decisions, establish reporting standards, and mentor junior analysts. Use SQL, BigQuery, Tableau, and LLM tools in an AI-native analytics workflow.

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.

Analyze commercial, marketing, product, and technology data to identify opportunities and make recommendations. Build and maintain Tableau, Power BI, and Looker dashboards; develop models for channel performance, cohort analysis, and GP forecasting; optimize SQL queries in BigQuery; and partner with cross-functional teams to deliver actionable insights. The role also uses AI to accelerate analysis, automation, and problem solving.

Support CRM Technical Manager and CRM team to build, QA, and monitor automated email/SMS journeys. Troubleshoot automations, HTML rendering, integrations and data issues; manage IP warm-ups, campaign audiences, compliance, and cross-functional delivery with Analytics, Product, and Tech teams.