QA Engineer - AI-Native

Storyteller; Turkey; Remote; TRY 1,001,000 - 1,223,000; Full time

Job summary

Storyteller is a remote-friendly, fast-growing B2B SaaS platform enabling Stories experiences within apps and websites. This AI-native quality engineering role focuses on diagnosing failures, building automated tests, and ensuring robust SDK behavior across iOS, Android, and other platforms.

You will work as part of a team delivering high-quality software in a fully remote setup from Turkey, with a full-time, contractor contract and compensation up to EUR 20,000 per year.

Qualifications

• AI-driven testing experience or familiarity.
• Ability to design and maintain unit and integration tests.
• Comfort using AI tools to explore codebases and diagnose failures.

Responsibilities

• Use AI coding agents and related tools to explore the SDK codebases, understand behaviour and accelerate quality work.
• Use product, technical, integration and release risk to identify the highest‑value quality improvements.
• Design, build and maintain useful unit and component tests for SDK behaviour.
• Design, build and maintain integration tests covering SDK interaction with Storyteller services and APIs.
• Put automated tests into active CI and release workflows, with failures that are clear and actionable.
• Prove that tests detect meaningful breakage rather than merely producing passing output.
• Investigate bugs using code, logs, APIs, test results and product behaviour.

Skills

AI coding agents

Unit and component testing

CI/CD

SDK testing

Tools

iOS SDK

Android SDK

Job description

Up to EUR 20,000 per year, on a full-time, contractor contract

Fully remote working from anywhere in Turkey!

Exciting high growth product, relied on by leading global brands, particularly within sports

Working with the latest hardware, AI tools, and product workflows.

ABOUT US

Storyteller is a high-growth B2B SaaS platform that enables companies to add Stories experiences to their own apps and websites. Stories help our clients increase engagement, retention and revenue.

Our platform combines SDKs, publishing tools, analytics and advertising support so enterprise customers can launch a complete Stories experience quickly. We work with major sports and media brands, and the experiences we power are used by large audiences around the world.

About the Role

This is an AI-native quality engineering role. You will use AI as a core part of how you investigate software, build automated tests, understand unfamiliar code, diagnose failures and make changes.

Your work will span the quality of SDK behaviour and the integration between Storyteller SDKs, platform services and APIs.

Storyteller has SDKs across iOS, Android, Web, tvOS, Fire TV, Android TV and Roku. The role will initially focus on iOS and Android, with opportunities to contribute across the wider SDK portfolio over time.

This is a hands‑on engineering role, but not a separate QA gatekeeping function:

• You’ll use AI coding agents and related tools to explore the SDK codebases, understand behaviour and accelerate quality work.
• You’ll care about tests that protect important behaviour and run in real development and release workflows.
• You’ll use product, technical, integration and release risk to identify the highest‑value quality improvements.

You will work as an individual contributor inside the Storyteller team. Quality belongs to the whole team, and you will work directly with builders and product owners throughout the product and engineering lifecycle. Success is measured by the confidence and useful evidence the work gives the team.

RESPONSIBILITIES

• Use AI coding agents and related tools to explore the SDK codebases, understand behaviour and accelerate quality work.
• Use product, technical, integration and release risk to identify the highest‑value quality improvements.
• Design, build and maintain useful unit and component tests for SDK behaviour.
• Design, build and maintain integration tests covering SDK interaction with Storyteller services and APIs.
• Put automated tests into active CI and release workflows, with failures that are clear and actionable.
• Prove that tests detect meaningful breakage rather than merely producing passing output.
• Investigate bugs using code, logs, APIs, test results and product behaviour.