Description
We are seeking a highly analytical and forward-thinking Marketing Tech, Ops & AI Manager to architect, scale, and optimise Thunes' global marketing engine.
Reporting to the Director of Demand Generation, you will have end-to-end strategic ownership of our global MarTech stack, customer data platform and revenue attribution.
Key Responsibilities:
- AI Orchestration & Workflow Automation: Design, test, and implement advanced AI prompts and multi-step automated workflows to automate manual research, scale lead generation, and continuously find time-saving efficiencies for the broader marketing team.
- AI-Powered Data Enrichment & Mining: Lead advanced data mining and account matching strategies, leveraging predictive AI and lookalike data models to discover, enrich, and segment target segments and Ideal Customer Profiles globally.
- Global SDR Tactical Support: Partner with the SDR Manager to supercharge the outbound engine, delivering hyper-targeted, AI-enriched account lists and custom personalisation hooks to maximise SDR outreach efficiency.
- Inbound Engine Optimisation: Monitor and optimise inbound lead flows and internal tech stack integrations, instantly diagnosing errors or data friction to ensure strict SLA compliance for sales hands-offs.
- Data Analytics & Full-Funnel Revenue Attribution: Own the data connection between marketing activities and revenue, utilising tools like Dreamdata and Salesforce Sales Cloud to track multi-channel ROI.
- Lifecycle & Campaign Automation: Own and optimise global email nurture and lifecycle tracks within Salesforce/Pardot, Apollo and Gong, ensuring data quality, progressive scoring, and rigorous compliance routing across our international customer database.
- Cross-Functional & Event Support: Provide technical and data support to the Events team by building targeted list segments, structuring multi-channel pre/post-event email nurtures, and maximising database conversion metrics.
- Internal Comms Architecture: Streamline internal marketing performance reporting, building automated summaries and dashboards to keep global, cross-functional stakeholders updated on key marketing wins and pipeline velocity.
Professional Experience and Qualifications:
- Professional Experience: ~5-8 years of dedicated experience in Marketing Technology & Operations, Marketing Analytics or Revenue Operations role, strictly within B2B technology or fast-scaling Fintech organisations.
- AI & Advanced MarTech Stack Mastery (Essential): Proven hands-on experience building complex logic, API webhooks, and AI prompt workflows, using Clay, Zapier, 6sense, Apollo, Sales Force, Pardot, Gong, Tableau, Gemini, Claude and Google Apps Script.
- Salesforce Ecosystem Expertise: Demonstrated mastery of Salesforce Sales Cloud and Salesforce Account Engagement (Pardot), including an in-depth understanding of database synchronisation, custom object mapping, system integration and reporting capabilities.
- Data & Attribution Literacy: Exceptional data analysis skills; comfortable handling raw data exports and working with multi-touch attribution platforms like Dreamdata to measure the effectiveness of marketing campaigns and support data-driven decisions.
- Communication: Fluent spoken and written English. Strong communication skills with the ability to clearly translate technical data/AI workflows into actionable business recommendations for non-technical team members.