蚂蚁国际-Marketing AI Solutions Lead(forward deployed)-万里汇WorldFirst

Why WorldFirst

WorldFirst is the cross-border payments platform for global SMEs, individuals and Enterprises — founded in London, established for over 20 years, and part of Ant International, the FinTech power behind Alipay. We serve 1.5m+ customers across 11 regions from 30+ global offices, with in-person support in 20 languages.

We're building connected, agent-powered marketing systems — and we need a hands-on engineer embedded in the marketing team to build them.

Role Overview

The Marketing AI Solutions Lead is a hands-on AI transformation practitioner embedded inside the WorldFirst global marketing function. You won't be a remote "AI builder" on the sidelines — you'll sit with channel owners and domain leads, and own delivery from problem discovery to deployed, adopted solution.

Key Responsibilities

Business Discovery & Use Case Definition

• Embed within the WorldFirst marketing team to map end-to-end workflows across reach, acquisition, conversion, and lifecycle.
• Surface high-value AI opportunities tied to commercial KPIs (growth, efficiency, conversion, LTV).
• Translate messy, real-world marketing problems into scoped, executable agent use cases.

Agent System Build & Deployment

• Design and deliver AI solutions leveraging generative AI, agentic AI, RAG pipelines, and agent orchestration.
• Rapidly prototype within sprint cycles, then ship production-grade solutions integrated into our existing marketing, CRM, and analytics stack.
• Reuse and harden our core foundations: first-party data, connected systems, reusable workflows, human guardrails, and an evaluation framework that measures quality, risk, and commercial impact.

Adoption & Change Enablement

• Ensure solutions are adopted and embedded — not just built.
• Turn channel owners into workflow owners who run and improve their agent systems day to day.
• Capture feedback and continuously enhance what we've shipped.

Governance & Evaluation

• Align delivery with the Marketing AI roadmap, KPIs, and ROI targets.
• Own the evaluation framework: how we measure quality, risk, brand safety, and commercial impact of each agent.
• Feed regular updates into our monthly transformation rhythm.

Stakeholder Collaboration

• Act as the bridge between marketing teams, internal tech teams, data platforms, and our AI engineers.
• Communicate progress, risks, and trade-offs clearly to both technical and non-technical audiences across a global, multi-region organisation.

Qualifications

• 5+ years in software engineering, applied AI, solutions engineering, or marketing technology.
• Proven track record shipping AI / automation / agent solutions that delivered measurable business outcomes and got adopted.
• Strong working knowledge of LLMs, prompt engineering, RAG, and agent-based systems.
• Integration experience with enterprise and marketing platforms (CRM, marketing automation, analytics, APIs, CDPs).
• Exposure to Marketing, Sales, or Revenue Operations domains — ideally cross-border e-commerce or payments.
• Understanding of transformation governance, KPIs, and ROI-tracking frameworks.
• Comfortable operating in sprints and an ambiguous, fast-moving build environment.
• Clear communicator across business and technical stakeholders; second-nature as a builder who learns by shipping.

Nice to have:

• Experience with one or more of the major AI/marketing ecosystems relevant to our stack.
• Background in consulting, solutions architecture, or cross-functional delivery.
• Interest in (and opinions about) how autonomous marketing systems should be governed.

How We Work

We're a global, multi-market team. This role sits in the Marketing function and works in a sprint-based, execution-focused model. We value builders who bring real judgement about when to automate and where humans stay in the loop .

We're an equal opportunity employer. We hire on capability and fit — not background.