National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Head of Engineering, Growth & Ecosystem (Relocate to Singapore)

airwallex
London
8 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

About Airwallex

Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 100,000 businesses worldwide – including Brex, Rippling, Navan, Qantas, SHEIN and many more – with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale.

If the following job requirements and experience match your skills, please ensure you apply promptly.Proudly founded in Melbourne, we have a team of over 1,500 of the brightest and most innovative people in tech located across more than 20 offices across the globe. Valued at US$5.6 billion and backed by world-leading investors including Sequoia, Lone Pine, Greenoaks, DST Global, Salesforce Ventures and Mastercard, Airwallex is leading the charge in building the global payments and financial platform of the future. If you're ready to do the most ambitious work of your career, join us.About the team:

The Engineering team at Airwallex is a diverse group of innovators, builders, and problem solvers driven by a mission to empower businesses to operate anywhere, anytime. We thrive in a collaborative and fast-paced environment where we constantly push the boundaries of what's possible in financial technology. As a team, we value technical craftsmanship, continuous learning, and a strong sense of ownership, working together to build scalable, reliable, and secure products that empower businesses of all sizes to grow without borders.Job Overview:

As the

Head of Engineering, Growth & Ecosystem , you will drive the technical strategy and execution for user acquisition, activation, retention, and revenue growth. You will lead a team of talented engineers, working closely with product, data, marketing, and design teams to identify and execute growth opportunities across the customer lifecycle. Your primary goal will be to build scalable growth platforms, develop data-driven experimentation processes, and optimize our product features to enhance user engagement and maximize business growth.This role is based in

Singapore .Key Responsibilities:

Strategic Leadership:

Develop and implement a comprehensive growth engineering strategy that aligns with the company’s business goals.

Team Management:

Lead, mentor, and grow a team of engineers focused on growth initiatives, including hiring and developing top talent.

Cross-Functional Collaboration:

Partner with product, marketing, data science, and design teams to prioritize and execute growth experiments and initiatives.

Data-Driven Optimization:

Utilize data analysis, A/B testing, and experimentation to identify growth opportunities, optimize conversion rates, and enhance the overall user experience.Increase user sign-ups or registrations

Enhance user engagement and retention

Optimize the user experience to reduce churn

Drive revenue through better conversion rates

Platform Development:

Oversee the development and maintenance of scalable systems, tools, and frameworks to support growth initiatives, including marketing automation, personalization, and customer segmentation.

Performance Monitoring:

Establish key performance indicators (KPIs) for growth, track progress against these metrics, and report on performance to senior leadership.

Market Insights:

Stay up-to-date with industry trends, competitor activities, and emerging technologies to ensure the company’s growth strategy remains innovative and competitive.

Qualifications:

Experience:

10+ years of experience in software engineering, with at least 3-5 years in a growth-focused role, preferably in a leadership position.

Leadership:

Proven track record of leading and growing high-performing engineering teams.

Technical Skills:

Strong proficiency in modern programming languages (e.g., Python, JavaScript, Go), data analysis tools (e.g., SQL, R, Python), and experience with growth-related technologies (e.g., analytics platforms, marketing automation).

Growth Expertise:

Deep understanding of growth tactics, A/B testing, experimentation frameworks, and data-driven decision-making processes.

Analytical Mindset:

Strong analytical and problem-solving skills, focusing on quantitative analysis and the ability to leverage data to drive decisions.

Collaboration:

Excellent communication and interpersonal skills, with the ability to work effectively with cross-functional teams and stakeholders.

Education:

Bachelor’s degree in Computer Science, Engineering, or a related field; a Master’s degree is a plus.

Preferred Qualifications:

Experience in a fast-paced, high-growth startup environment.

Knowledge of machine learning, AI, or advanced analytics techniques.

Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and microservices architecture.

Equal opportunity

Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don’t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary.

#J-18808-Ljbffr

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.