Marketing Technology, Operations, and AI Manager

About Thunes

Thunes operates as a global smart network facilitating real-time payments across more than 130 countries and over 80 currencies. Their proprietary Direct Global Network links more than 7 billion mobile wallets and bank accounts, along with 15 billion cards, supporting over 320 payment methods including major platforms like GCash, M-Pesa, Airtel, AliPay, and WeChat Pay. The company's in-house SmartX Treasury System and Fortress Compliance Platform provide unmatched speed, control, and cost efficiencies to its members, which include industry leaders such as Uber, Deliveroo, Grab, and WeChat. Headquartered in Singapore, Thunes maintains offices in 14 locations worldwide.

Role Overview

We are looking for a Marketing Technology, Operations, and AI Manager to strategically build, expand, and optimize Thunes' global marketing technology framework. Reporting directly to the Director of Demand Generation, this role takes full ownership of managing the global MarTech stack, customer data platform, and revenue attribution processes. A key component is serving as the AI Champion within the marketing department, integrating AI-driven solutions to transform planning, research, data enrichment, and campaign execution. Collaboration with digital marketing, content, SDR, events, and sales leadership across regions is essential.

Key Responsibilities

• Develop and implement sophisticated AI-powered prompts and multi-stage automation workflows using tools like Clay, Zapier, and OpenAI APIs to minimize manual research efforts and enhance lead generation efficiency throughout marketing teams.
• Lead data enrichment and mining activities by applying predictive AI models, lookalike analysis within 6sense, and automated workflows via Clay to identify and segment global target audiences and ideal customer profiles.
• Work closely with the SDR Manager to enhance outbound sales efforts by delivering AI-informed account lists, personalized outreach hooks, and monitoring performance metrics with Gong AI analytics.
• Optimize inbound lead processing and integration within the marketing tech stack, quickly identifying and resolving data issues to maintain strict service levels for handoffs to sales. Support ongoing digital marketing campaigns to achieve set KPIs.
• Oversee full-funnel revenue attribution connecting marketing programs to income streams, utilizing platforms such as Dreamdata and Salesforce Sales Cloud to measure ROI across digital media, SEO, geo-targeting, content, email, and events. Employ AI and spreadsheet analysis for advanced insights.
• Manage and improve email nurture journeys and lifecycle campaigns globally via Salesforce/Pardot, Apollo, and Gong, ensuring data accuracy, scoring progression, and compliance across diverse international databases.
• Support event teams by designing targeted audience segments, orchestrating multi-channel email nurtures pre- and post-events, and maximizing database conversion effectiveness.
• Create streamlined internal marketing performance reporting structures, including automated dashboards and summaries to update global stakeholders on key marketing achievements and pipeline status.
• Partner with Marketing, Product, Engineering, Sales, and Revenue Operations teams to establish and evolve a MarTech infrastructure that integrates AI capabilities enhancing customer experience, campaign management, engagement, and retention.

Qualifications and Experience

• Possess 5 to 8 years of experience in Marketing Technology & Operations, Marketing Analytics, or Revenue Operations within B2B technology or fast-growing fintech sectors.
• Demonstrated expertise with AI and advanced MarTech tools including practical experience creating complex logic, API webhooks, and AI prompt flows using Clay, Zapier, 6sense, Apollo, Salesforce, Pardot, Gong, Tableau, Gemini, Claude, and Google Apps Script.
• Strong command of Salesforce Sales Cloud and Account Engagement (Pardot), including database synchronization, custom object mapping, systems integration, and reporting.
• Proficient data analysis skills with familiarity in multi-touch attribution tools such as Dreamdata to evaluate marketing campaign effectiveness and facilitate data-driven strategic decisions.
• Excellent communication skills in English, with ability to translate technical AI and data workflows into practical business recommendations for non-technical colleagues, and to collaborate effectively with diverse teams including sales, product, and engineering.
• Highly organized, meticulous, and curious; a proactive approach to automating repetitive tasks using AI technologies is essential.