Product Lead - Marketing Technology

Tencent
London
3 months ago
Applications closed

Related Jobs

View all jobs

Head of Product Control

Senior Analytics Engineer

UX/UI Designer

Product Manager

Product Owner ( CRM )

NPD Lead

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 an experienced and enthusiastic Product Lead for Marketing Technology to join our team in the gaming industry. This role requires strategic vision, leadership, and the ability to manage cross-functional collaboration across multiple gaming studios. As a Product Lead, you will play a pivotal role in shaping and driving the development of innovative marketing technology solutions that meet the needs of our gaming studios and contribute to the company’s growth.


Key Responsibilities:

1.Studio Collaboration:

a. Communicate effectively with gaming studios and lead projects that leverage our marketing technology products.

b. Work closely with studio stakeholders to understand their unique pain points and requirements.

c. Demonstrate a deep understanding of UA (User Acquisition) algorithms and (or) creative production processes.

2.Strategic Planning:

a. Strategically design and build marketing technology product roadmaps aligned with business goals and studio needs.

b. Drive innovative product development by leading discussions and brainstorming sessions within the team.

3.Cross-Functional Collaboration:

a. Collaborate with other product teams, including AI teams, data scientists, and data engineers, to ensure successful project execution and support.

4.Project Management:

a. Define project scopes, set timelines, and ensure the delivery of high-quality features.

b. Provide constructive feedback to refine and enhance product features.


Required Qualifications:

1. 3+ years of experience in product management and a background in leading the development of marketing technology platforms.

2. Strong English communication skills, with the ability to effectively collaborate across teams.

3. Bachelor’s degree or above in statistics, computer science, data science, information management, product design, and marketing.

4. Demonstrated ability to think innovatively, solve problems creatively, and lead products to measurable impact.

5. Passion for the gaming industry, with strong resilience, self-drive, and entrepreneurial spirit.


Preferred Qualifications:

1. Prior working experience or in-depth knowledge of the gaming industry

2. Prior B2B experience in serving clients.

3. Knowledge or experience in applying AI technologies to games development and publishing.

4. Proven team leadership experience


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.

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Tips for Staying Inspired: How Data Science Pros Fuel Creativity and Innovation

Data science sits at the dynamic intersection of statistics, computer science, and domain expertise, driving powerful innovations in industries ranging from healthcare to finance, and from retail to robotics. Yet, the daily reality for many data scientists can be a far cry from starry-eyed talk of AI and machine learning transformations. Instead, it often involves endless data wrangling, model tuning, and scrutiny over metrics. Maintaining a sense of creativity in this environment can be an uphill battle. So, how do successful data scientists continue to dream big and innovate, even when dealing with the nitty-gritty of data pipelines, debugging code, or explaining results to stakeholders? Below, we outline ten practical strategies to help data analysts, machine learning engineers, and research scientists stay inspired and push their ideas further. Whether you’re just starting out or looking to reinvigorate a long-standing career, these pointers can help you find fresh sparks of motivation.

Top 10 Data Science Career Myths Debunked: Key Facts for Aspiring Professionals

Data science has become one of the most sought-after fields in the tech world, promising attractive salaries, cutting-edge projects, and the opportunity to shape decision-making in virtually every industry. From e-commerce recommendation engines to AI-powered medical diagnostics, data scientists are the force behind innovations that drive productivity and improve people’s lives. Yet, despite the demand and glamour often associated with this discipline, data science is also shrouded in misconceptions. Some believe you need a PhD in mathematics or statistics; others assume data science is exclusively about machine learning or coding. At DataScience-Jobs.co.uk, we’ve encountered a wide array of myths that can discourage talented individuals or mislead those exploring a data science career. This article aims to bust the top 10 data science career myths—providing clarity on what data scientists actually do and illuminating the true diversity and inclusiveness of this exciting field. Whether you’re a recent graduate, a professional looking to pivot, or simply curious about data science, read on to discover the reality behind the myths.

Global vs. Local: Comparing the UK Data Science Job Market to International Landscapes

How to evaluate salaries, opportunities, and work culture in data science across the UK, the US, Europe, and Asia Data science has proven to be more than a passing trend; it is now a foundational pillar of modern decision-making in virtually every industry—from healthcare and finance to retail and entertainment. As the volume of data grows exponentially, organisations urgently need professionals who can transform raw information into actionable insights. This high demand has sparked a wave of new opportunities for data scientists worldwide. In this article, we’ll compare the UK data science job market to those in the United States, Europe, and Asia. We’ll explore hiring trends, salary benchmarks, and cultural nuances to help you decide whether to focus your career locally or consider opportunities overseas or in fully remote roles. Whether you’re a fresh graduate looking for your first data science position, an experienced data professional pivoting from analytics, or a software engineer eager to break into machine learning, understanding the global data science landscape can be a game-changer. By the end of this overview, you’ll be better equipped to navigate the expanding world of data science—knowing which skills and certifications matter most, how salaries differ between regions, and what to expect from distinct work cultures. Let’s dive in.