AI Vibe Coder

Algomarketing

About The Position

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. 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.

Requirements

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.
Proficiency or strong practical experience with: BigQuery for data querying, transformation and analysis.
Proficiency or strong practical experience with: Apps Script for building tools, automations and workflow solutions.
Proficiency or strong practical experience with: Looker Studio or comparable business intelligence and dashboard platforms.
Proficiency or strong practical experience with: Google Colab or similar cloud-based development environments.
Proficiency or strong practical experience with: SQL, including the ability to write, read, interpret and troubleshoot queries.
Proficiency or strong practical experience with: Programmatic data access, integrations and APIs.
Comfortable using AI-assisted development tools to accelerate coding and technical delivery.
Familiarity with artificial intelligence, machine learning and software development concepts is required.
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.
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.

Nice To Haves

A formal developer or engineering background is desirable but not essential.
Curiosity and enthusiasm for experimenting with new AI technologies, tools and development approaches.

Responsibilities

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.
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.
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.
Business impact delivered through AI-enabled insights, tools and workflows.