AI Vibe Coder

Job description

ABOUT ALGOMARKETING Algomarketing specialises in delivering programmes and providing talent for strategic roles within marketing teams. We are a global team of marketing experts operating across more than 30 countries throughout Asia Pacific, the Americas, Africa and Europe. We have extensive experience in enterprise B2B marketing, with particular expertise in the technology and SaaS sectors. We empower marketers through Algorithmic Marketing: a data-driven approach that enables deeper insights, faster execution and more streamlined operations. Visit our website to learn more about us. ROLE OVERVIEW We are seeking a highly skilled and analytically driven Analytical Vibe Coder to accelerate marketing transformation through AI-enabled development, rapid prototyping and data-driven solutions. This is not a traditional analytics or insights role. The successful candidate will use AI-assisted and conversational development tools to rapidly build, test, iterate and deploy code-driven solutions. You will create new ways to analyse data, optimise performance, automate processes and deliver measurable value to users and the business. Operating at the intersection of marketing, data science and AI engineering, you will support Google EMEA Marketing across key product areas, including Gemini and cross-product AI initiatives, Google Search, Chrome, Android, Pixel, Google Play, Reputation and Ads, as well as internal organisational health initiatives. SCOPE AND DELIVERABLES AI-Enabled Development and Vibe Coding • Use AI-assisted development tools to rapidly generate, test, iterate and deploy code-based solutions. • Build applications through conversational development, including dashboards, internal tools, prototypes and proof-of-concept solutions. • Translate business challenges into functional technical solutions with minimal reliance on traditional manual coding processes. Rapid Prototyping and Experimentation • Develop minimum viable products, prototypes and demonstrations to validate ideas quickly and cost-effectively. • Enable rapid idea validation through lightweight, scalable technical builds. • Continuously refine solutions based on stakeholder feedback, user needs and data insights. Data and Analytics Solutions • Design and build data pipelines, dashboards and analytical tools using platforms such as BigQuery, Apps Script and Looker Studio. • Aggregate, clean and transform complex datasets into clear, actionable insights. • Use data storytelling to support strategic decision-making and influence stakeholders. AI and Agentic Workflows • Develop AI-enabled processes that support and enhance human decision-making within marketing. • Build and operationalise agentic workflows that automate analysis, reporting and insight generation. • Integrate machine learning and generative AI capabilities into marketing operations and internal tools. Strategic and Operational Impact • Support strategic planning across multiple Google EMEA Marketing product areas. • Contribute to transformational programmes using data science, artificial intelligence and machine learning. • Improve marketing ecosystem performance through scalable, data-driven tools and solutions. Organisational Enablement • Build internal tools that simplify workflows, improve efficiency and reduce operational friction. • Support organisational health by improving processes, increasing agility and reducing unnecessary complexity. • Champion a culture of experimentation, speed and innovation within the Centre of Excellence. REQUIREMENTS Core Skills and Experience • Strong analytical, logical and problem-solving experience within a marketing or commercial environment. • Proven experience building data-driven tools, dashboards, applications or technical solutions. • Experience with vibe coding, conversational development or AI-assisted coding workflows. • Ability to translate ambiguous business challenges into structured, functional technical solutions. • Demonstrated ability to independently manage projects and deliver outcomes in a fast-paced environment. Technical Capabilities Proficiency or strong practical experience with: • BigQuery for data querying, transformation and analysis. • Apps Script for building tools, automations and workflow solutions. • Looker Studio or comparable business intelligence and dashboard platforms. • Google Colab or similar cloud-based development environments. • SQL, including the ability to write, read, interpret and troubleshoot queries. • Programmatic data access, integrations and APIs. You should be comfortable using AI-assisted development tools to accelerate coding and technical delivery. Familiarity with artificial intelligence, machine learning and software development concepts is required. A formal developer or engineering background is desirable but not essential. AI and Workflow Expertise • Experience using AI across end-to-end workflows, including analysis, automation, application development and insight generation. • Understanding of agentic workflows, automation frameworks and AI-enabled processes. • Ability to build and deploy lightweight AI-enabled tools and applications. • Curiosity and enthusiasm for experimenting with new AI technologies, tools and development approaches. Communication and Impact • Strong ability to communicate complex data and technical concepts through clear and compelling storytelling. • Confidence working with senior stakeholders across marketing, analytics, product and technical teams. • Ability to balance technical feasibility with user needs and business objectives. • Demonstrated success delivering measurable impact in fast-paced and ambiguous environments. INTERNAL CONSIDERATIONS AND VALIDATION Seniority This is expected to be a mid-to-senior-level position, although exact levelling may vary depending on the candidate’s experience. The successful candidate should be able to operate with a high degree of autonomy, accountability and ownership. The position combines elements of an analytics lead, AI prototyper, technical strategist and internal product builder. Operational Requirements The role will require programmatic access to data platforms and internal systems, including BigQuery and other relevant Google tools. The successful candidate will require onboarding and access to internal Google systems and platforms, potentially including LDAP, Plex, Google Pro and relevant beta environments. The role will operate within a high-performance, cross-functional Centre of Excellence environment. Candidate Profile This is a non-traditional position combining analytics, engineering, marketing and AI experimentation. The focus is on speed, prototyping, adoption and measurable impact rather than solely on production-grade software engineering. The ideal candidate is likely to sit between the following profiles: • Data Analyst • Analytics Engineer • AI Engineer • Product Prototyper • Marketing Technology Specialist • Technical Strategist Measures of Success Success in the role will be measured by: • Speed of solution development and iteration. • Quality and usefulness of tools, applications and prototypes. • Adoption of solutions by internal users and stakeholders. • Efficiency improvements generated through automation.