Overview
In this role you will be a Platforms Expert within Marketing Technology & Operations, partnering with engineering to shape solution design and drive implementations. You’ll roll out platform features, promote self-service adoption, and leverage agentic AI to streamline delivery. You’ll build scalable, low-code data pipelines linking marketing tools, data sources, and reporting. You’ll monitor platform health, document processes, and ensure data reliability to support marketing objectives and commercial impact.
Pay / Benefits
- flexible-first benefits allowance
- private medical and dental
- life assurance and financial coaching
- annual learning allowance
- electric car and cycle-to-work schemes
- parental leave policies
Responsibilities
- Act as an independent platforms expert for the Marketing domain and collaborate with engineering on solution design and implementations
- Roll out new platform features and drive adoption by self-service users in campaigns and processes
- Utilise agentic AI tooling to automate routine tasks and remove delivery bottlenecks
- Build and maintain scalable, low-code data pipelines between marketing platforms, data sources, and reporting tools
- Monitor platform health, identify risks or control weaknesses, create accessible documentation, and support data/system reliability views
Key requirements
- 4+ years as an administrator/superuser of enterprise marketing systems (e.g., Braze, Iterable, Adobe Campaign) or CDP (e.g., Twilio Segment, Hightouch)
- Experience with data integrations in frontend and backend contexts
- Experience with AI/agentic workflows in marketing operations
- Comfort with complex spreadsheets or Smartsheets (Excel/GS)
- Excellent stakeholder communication and collaboration with technical and non-technical colleagues
- Familiarity with real-time data flows and event-driven marketing decisions
- Experience with platform integration methods (tag managers, API auth, retry/error handling, JSON, webhooks)
- Ability to read/edit JavaScript/Python and discuss technical requests with engineers
- Experience with big data tools (AWS Athena, SQL/dbt) and financial/regulatory contexts
- collaboration
- problem-solving mindset
- commercially driven
- Braze
- Iterable
- Adobe Campaign
…
