AI Playable Ads Developer

About the role

The role converts existing games into HTML5 playable experiences within PeopleFun studio. It builds scalable tooling and processes to support studio wide production. The position uses AI to raise output quality and actively defines how playables are created. You will own the full lifecycle of playable ad production for every title handled by PeopleFun, ensuring a consistent and high quality user experience from concept to delivery. You will establish and refine the end to end workflows that turn game concepts into interactive marketing assets, focusing on reliability and scalability across teams. By integrating AI tools into the daily development cycle, you will accelerate production timelines and elevate the visual and functional quality of each playable advertisement. Your work will directly influence how these playables perform in market, balancing user engagement, technical execution, and compatibility across a wide range of devices and platforms. This position is embedded within the PeopleFun studio, collaborating closely with creative, marketing, and engineering partners to align technical implementation with campaign goals.

Key facts

What you'll do

Ownership of end to end playable ad creation for every PeopleFun title drives consistent user experiences from initial brief to final delivery.

Scalable processes and tooling are built to raise production volume and guarantee output consistency across multiple teams working in parallel.

AI tools are used to speed up development cycles and improve the quality of playable advertisements through intelligent automation and assisted content generation.

Playable performance is optimized for user engagement, technical performance, and compatibility across platforms, devices, and input methods.

Adaptive composition and JS/CSS animation techniques ensure content works seamlessly across different screen setups, aspect ratios, and behavioral rules.

Version control using Git is used to manage assets, track changes, and collaborate effectively with designers, artists, and engineers.

A portfolio of playable ads is required to demonstrate relevant experience, technical capability, and your approach to solving interactive production challenges.

Cross functional collaboration with creative, marketing, and engineering teams is central to the production flow and decision making throughout each project.

Performance profiling, debugging, and optimization are regular activities to maintain high frame rates, low load times, and reliable behavior in browser environments.

You will translate design mockups and marketing requirements into functional HTML5 experiences that meet strict timelines and quality standards.

Responsive implementation ensures that playables adapt gracefully to various devices, from mobile phones and tablets to desktop browsers.

Monitoring and iteration based on real world metrics help refine future playable ads and guide improvements in tooling and workflows.

Documentation of processes, tools, and component libraries supports knowledge sharing and long term maintainability of the ad catalog.

Continuous exploration of new AI capabilities allows the team to experiment with innovative content creation techniques while managing risk and quality.

Requirements

The posting states a bachelor's degree requirement. Two or more years of experience developing playable ads or HTML5 games is mandatory for this role and cannot be substituted.

Strong JavaScript knowledge is required, with hands on experience in CSS, HTML5, and cross platform composition techniques for interactive media.

Practical use of AI tools in daily development workflows is expected as part of the standard process, not as an experimental add on.

Adaptive composition and JS/CSS animation experience ensures content works across different screen setups, input methods, and behavioral configurations.

Comfort with version control using Git is necessary to manage assets, resolve conflicts, and support collaborative workflows.

A portfolio of playable ads is required to demonstrate relevant experience, technical proficiency, and your ability to deliver production ready interactive content.

Professional communication skills are needed to coordinate with stakeholders, explain technical constraints, and incorporate feedback effectively.

Self directed learning and attention to detail help you keep up with evolving tools, platform policies, and browser compatibility requirements.

Problem solving mindset is essential when diagnosing issues, iterating on performance bottlenecks, and adapting to changing project constraints.

Time management and the ability to juggle multiple priorities are important because deadlines are strict and misaligned dependencies can impact launch schedules.

Willingness to follow established workflows and contribute to process improvements ensures that the team can scale its operations over time.

Practical notes

The position is based in Tblisi under the guidance of PeopleFun studio.

Typical interview steps

Data interviews commonly include a SQL or coding exercise, a statistics question, and a case study. Candidates may be asked to design a metric, interpret an experiment, or build a small model. Some companies give a take-home analysis. Expect questions about past projects and the business impact of your work. Interviewers often evaluate how you communicate uncertainty and business impact, not only the math. Bringing a clean write-up of a past analysis to the interview is well received.

Good to know

Playable ads turn interactive game experiences into marketing assets for user acquisition.

HTML5 and JavaScript form the core technical stack for cross platform delivery.

AI tooling in development workflows is increasingly used to automate and enhance content creation.

Cross platform adaptation requires attention to performance, input methods, and screen variations.

Collaboration between creative, marketing, and engineering teams is central to production flow.

Questions to ask

Useful questions for the interview: what a typical week looks like, how work is assigned, what tools the team uses, and how feedback works. Asking how the role has changed recently and what the team wishes it had known when joining is also reasonable. Questions about the manager's priorities are especially valued.

Career growth

Data careers grow toward senior analyst, staff data scientist, or data engineering lead. Many professionals specialize in machine learning, analytics, or infrastructure. Cross functional work with product and engineering teams becomes more important at senior levels. The field changes quickly, so continuous learning is part of the job. Professionals who can translate numbers into decisions tend to advance fastest.