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Algomarketing seeks a highly analytical AI-enabled developer to accelerate marketing transformation. You will use AI-assisted coding to rapidly build, test and deploy code-driven solutions, creating dashboards, internal tools and prototypes that translate business needs into actionable insights.
You will design data pipelines and analytics tools across Google EMEA product areas, collaborating with senior stakeholders to drive measurable impact and operational efficiency.
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.
We are a global marketing & sales operations and technology consultancy with a presence in 27 countries across 6 continents. Our diverse team of 100+ marketing and MarTech experts collaborates to deliver impactful, data-driven solutions.
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.
Use AI-assisted development tools to rapidly generate, test, iterate and deploy code-based solutions.
Construct dashboards, internal tools, prototypes and proof-of-concept solutions.
Achieve results with minimal reliance on traditional manual coding processes.
Develop minimum viable products, prototypes and demonstrations to validate ideas quickly and cost-effectively.
Continuously refine solutions based on stakeholder feedback, user needs and data insights.
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.
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.
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.
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.
Senior Level: 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.
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.
Business impact delivered through AI-enabled insights, tools and workflows.
At Algomarketing, we revolutionize industry standards by propelling world-leading brands to new heights with rapid insights, accelerated executions, and seamless operations. Our team leverages cutting-edge technologies like machine learning, natural language processing, and robotic process automation to transform marketing and sales landscapes. Our team collaborates to deliver impactful, data-driven solutions. We are a global marketing & sales operations and technology consultancy with a presence in 27 countries across 6 continents. Our diverse team of 100+ marketing and MarTech experts collaborates to deliver impactful, data-driven solutions. Join us to be part of an innovative, dynamic environment where your skills will help drive the future of marketing. Experience professional growth and make a global impact with Algomarketing. Learn more about our services through our customer success stories, where we've brought the concept of Algorithmic Marketing to life.