Jobs at Quantum (quantum.media)

Own paid search and display performance for iGaming and Rewards brands across Google Ads and Microsoft Ads. Responsibilities include developing PPC strategy, managing an external agency, auditing and restructuring accounts, optimizing budgets against ROAS and CPA targets, running tests, monitoring competitors, and translating performance data into commercial insights. The role requires hands-on expertise in campaign architecture, bidding, keywords, ad copy, tracking, attribution, reporting, and analytics.

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.

Build and maintain batch and streaming data pipelines for the QiCore warehouse. Migrate acquired-business data, model datasets for analytics and reporting, monitor pipeline health and data quality, and support repeatable platform migrations. The role requires production SQL and Python, cloud warehouse or big data platform experience, governance and testing knowledge, orchestration, version control, and collaborative engineering practices.

Leads and develops the data engineering team, owns technical strategy and infrastructure delivery, and ensures data platforms scale with business growth. Partners with product, marketing, commercial, and executive stakeholders to prioritize impactful data initiatives. Establishes engineering standards, supports AI-led development, remains technically hands-on, and translates complex technical topics into commercially relevant outcomes.

Own the architecture and design standards for QiCore, the company’s data warehouse. Lead customer identity, PII, consent, governance, retention, access control, data quality, and modelling practices. Migrate acquired businesses into a unified data model, prototype and debug pipelines using SQL and Python, guide engineers, and translate business needs into a scalable platform supporting future AI initiatives.

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.

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.

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.

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.