Assistant Digital Marketing Manager

Job Overview

Digital Marketing and Commercial Performance

• Manage digital marketing budgets and support the digital marketing P&L.
• Plan digital acquisition across paid search, paid social, display, programmatic, property portals, websites, landing pages, and other channels.
• Measure CAC, LTV, LTV:CAC, conversions, revenue, profitability, and customer value.
• Track performance against budgets, targets, forecasts, and expected returns.
• Recommend where marketing investment should be increased, reduced, or moved.
• Work with Sales, Finance, and Data to improve revenue tracking and understand marketing value.

Customer Acquisition and Funnel

• Manage the customer journey from advertising and enquiry through qualification, sales follow-up, viewing, negotiation, transaction, and customer value.
• Monitor CAC, LTV, ROAS, conversion rates, cost per transaction, revenue per customer, efficiency, and channel profitability.
• Identify whether performance issues relate to marketing, lead quality, response time, routing, sales conversion, pricing, inventory, or customer experience.
• Improve lead capture, routing, follow-up, nurturing, qualification, conversion, retention, referrals, and speed-to-lead.

SEO, AEO, and GEO

• Manage organic search visibility through SEO, including technical SEO, on-page SEO, content structure, internal linking, metadata, keywords, performance, and authority building.
• Monitor organic traffic, rankings, conversions, CAC, and revenue contribution.
• Support AEO and GEO to improve visibility in search answers, featured results, voice search, generative AI platforms, and AI search engines.
• Coordinate structured data, schema markup, content structure, and other technical search improvements.

MarTech, CRM, and Platforms

• Manage the marketing side of MarTech platforms, systems, subscriptions, vendors, integrations, and related costs.
• Coordinate integrations among CRM, websites, applications, analytics, advertising, WhatsApp, lead management, and other business platforms.
• Support websites, landing pages, mobile applications, CRM solutions, dashboards, automation, lead routing, and customer engagement platforms.
• Gather requirements, define workflows, coordinate delivery, participate in UAT, track bugs, and monitor platform performance.

AI, Analytics, Projects, and Vendors

• Coordinate AI projects for marketing, customer engagement, lead management, sales support, content, analytics, search, and automation.
• Prepare AI business cases based on cost, benefits, revenue opportunities, efficiency, customer value, and ROI.
• Build reporting connecting marketing activities with acquisition, revenue, LTV, and business performance.
• Plan budgets and forecasts, manage cross-functional projects, identify risks and dependencies, and monitor vendor performance.
• Evaluate digital agencies, AI companies, technology providers, platforms, and MarTech vendors.
• Maintain documentation for platforms, integrations, subscriptions, workflows, investments, and projects.

Required Qualifications and Experience

• A bachelor's degree in marketing, business, digital marketing, economics, information systems, technology management, or a related field is required.
• At least 4 years of relevant experience in digital marketing, performance marketing, MarTech, digital products, CRM, automation, or related areas is required.
• Experience managing meaningful digital marketing budgets is required.
• Strong knowledge of digital marketing P&L, CAC, LTV, LTV:CAC, conversion, revenue, profitability, and ROI is required.
• Experience with digital acquisition channels, customer funnels, CRM, analytics, websites, marketing automation, or similar technologies is required.
• Good understanding of SEO, AEO, GEO, generative AI, AI-powered search, and AI applications in marketing is required.
• Strong analytical, problem-solving, communication, and stakeholder-management skills are required.
• The candidate must be able to translate business requirements into clear functional or technical requirements.

Preferred Knowledge and Experience

• Experience or knowledge in performance marketing, digital P&L, forecasting, CAC and LTV modeling, technical SEO, Search Console, AEO, GEO, generative AI, Google Analytics, Google Ads, Meta advertising, CRM, and marketing automation is preferred.
• Knowledge of CMS platforms, APIs, WhatsApp Business solutions, conversational AI, AI calling, BI dashboards, attribution, customer segmentation, digital product management, UI/UX, conversion optimization, or Agile project environments is preferred.
• Coding or software development experience is not required, but the candidate must understand how technology, data, APIs, CRM, AI, media, and marketing platforms work together.

Work Location

• The work location is in person.