GWI - Marketing Engineer
Requirements
• Built agentic workflows that drove a real marketing outcome with before/after numbers to prove it. • Hands-on with the modern martech stack: AI enabled (e.g. LLMs, MCP, vibe-coding) and core platforms (e.g. marketing automation, web CMS). • Experience running channels and campaigns at scale. You know where automation helps versus where it hurts. • Comfortable with data: pulling from APIs, shaping it, and turning it into something a team can act on. • A portfolio of things you’ve built — we’d rather see what you’ve shipped than read about it.
Responsibilities
• Set the build roadmap. Work with VP Growth Marketing and other stakeholders to agree a quarterly roadmap of the highest-leverage builds. You’ll have a clear backlog and the air cover to say no to the rest. • Set the build roadmap. • Find and automate repetitive work. Find the repetitive tasks eating the team’s time and replace them with agents and automations. • Find and automate repetitive work. • Act as a force multiplier across the team. Build systems that increase the impact of high-leverage work. Examples include: multiply our ABX operations; use GWI’s MCP and API to generate personalised content at scale; Connect data sources and context to create a Growth Marketing OS that surfaces what’s working, what isn’t, and what we should do next.Find growth levers in the funnel and fix/scale. Run analysis and discovery to discover the biggest levers and run experiments to improve conversion or unlock new growth • Act as a force multiplier across the team. • What do I need to bring with me? • Experience managing campaigns, channels and funnels. You know how they work and know how to run a test. You could be a growth or performance marketer who has gone all-in on AI and wants it to be the main part of your job. • You are a problem-solver and builder by default. You welcome messy, open-ended problems and are relentlessly curious and resourceful. • You build with AI, not just chat with it: chaining prompts, wiring up agents, and automating work. • Data literacy and a systems thinker: you can think through problems end-to-end, document a clear scope and create a structured plan that links back to a measurable outcome. • You don’t need a computer science degree or a software engineering background, but you’re comfortable in low/no-code platforms, happy wiring up APIs and MCP, and you pick new tools up fast.
Benefits
• At GWI, you’ll find meaningful work, visible impact, and a culture that empowers you to do your best. Our package includes: • Time to recharge – 25 days’ annual leave, plus office closures over the holidays. • Health & wellbeing – Health cash plan, enhanced family benefits, carer days, and mental health support. • Financial benefits – Competitive salary, 4% pension matching, and recognition programs that celebrate success. • Flexibility & balance – Flexitime, early Friday finishes, hybrid and remote options, plus a “work from home” budget. • Career growth – Accredited learning, leadership development, and global career mobility. • Put all that together and GWI is the friendliest, most fulfilling place any of us has ever worked. • Diversity, Equity & Inclusion 🫶 • Diversity is fundamental to who we are—as a data company and as a workplace. Our data reflects global realities, and so must our teams. We strive to build a workforce as diverse and inclusive as the insights we deliver. • As a Disability Confident employer, we welcome applications from disabled candidates and are committed to making adjustments throughout the hiring process—whether that's extra time, materials in advance or a different format, breaks, an adjusted interview format, assistive tools, or flexible scheduling. We're happy to discuss whatever would work best for you. • We actively encourage applications from underrepresented and marginalised communities. • At GWI, you'll find a place to contribute meaningfully, grow professionally, and belong fully. • #li-hybrid#LI-VS1
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