Tech Lead - Marketing Technology

Tencent
London
1 year ago
Applications closed

Related Jobs

View all jobs

Data Engineer (SC Cleared)

Data Engineer (SC Cleared)

Data Analyst

SAS Data Engineer

Data Analyst

Lead Data Engineer

Level Infinite is a global game publisher offering a comprehensive network of bespoke services for games, development teams and studios around the world.


We are dedicated to delivering engaging and original gaming experiences to a worldwide audience, whenever and wherever they choose to play, while building a community that fosters inclusivity, connection, and accessibility. The brand also provides a wide range of services and resources to our network of developers and partner studios around the world to help them unlock the true potential of their games. Level Infinite is both publisher of breakout hit games like PUBG MOBILE and Goddess of Victory: NIKKE, and a collaborative partner in games such as Stunlock V Rising, Fatshark’s Warhammer 40,000: Darktide, Dune: Awakening from Funcom, Nightingale from Inflexion Studios and many more.


Role Overview:

We are looking for a highly skilled and motivated Tech Lead for Marketing Technology to join our team in the gaming industry. This role demands a strong technical background, problem-solving skills, and leadership abilities to guide technical teams towards delivering robust and innovative solutions. As a Tech Lead, you will drive technical excellence, provide hands-on support to overcome challenges, and contribute to the evolution of marketing technology in gaming.


Key Responsibilities:

1. Technical Leadership:

a. Lead technical teams to successfully deliver marketing technology projects.

b. Provide hands-on guidance and support to solve complex technical challenges.

2. Technical Strategy and Development:

a. Architect, design, and develop scalable and efficient marketing technology solutions.

b. Evaluate and recommend appropriate technologies, frameworks, and tools to meet business and technical requirements.

c. Collaborate with product teams to align technical strategy with product roadmaps.

3. Project Execution:

a. Lead the technical implementation of projects, ensuring quality, timeliness, and adherence to requirements.

b. Identify potential risks and proactively implement solutions to mitigate them.


Required Qualifications:

1. Master’s degree or higher in Computer Science, Engineering, or related fields.

2. Deep technical knowledge of UA algorithms and audience targeting.

3. Proven experience leading technical teams and delivering successful projects.

4. Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders.

5. Experience working in cross-functional teams with product managers, data scientists, and engineers.

6. Passion for the gaming industry and understanding of marketing technology.


Preferred Qualifications:

1. Experience in the gaming industry or a strong interest in its technologies and challenges.

2. Familiarity with AI and machine learning applications in marketing or gaming.

3. B2B experience working with enterprise clients and delivering technical solutions.

4. A track record of driving innovation and out-of-the-box thinking within technical teams.


Equal Employment Opportunity at Tencent

As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.

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 Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.