[Hiring] QA Engineer - AI Native @Storyteller

Role Description

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 a senior 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.
• Where appropriate, follow a well-understood issue through to a bounded production fix.
• Work with builders to improve testability and prevent repeated classes of defects.
• Turn repeated investigation or testing work into reusable AI workflows, tools, checks or test assets.
• Communicate clearly in Slack and other team systems: state the evidence, impact, current understanding, owner and next action.
• Contribute useful AI-assisted engineering practices to the wider SDK team while remaining primarily accountable for quality outcomes.
• Contribute to tvOS, Android TV, Fire TV, Web and Roku as the role's scope expands.

Qualifications

• AI-native execution – You use AI to do substantive technical work, not only to write or summarise.
• Quality and validation judgment – You can decide what is worth testing and recognise superficial tests.
• Agency and ownership – You can take an ambiguous quality risk, investigate it, gather evidence, and choose a sensible next step.
• Technical comfort – You are comfortable working with repositories, code, APIs, CI, logs, command-line tools and automated test frameworks.
• Problem solving and systems thinking – You distinguish symptoms from root causes.
• Clear communication – You communicate concisely and directly.
• Learning velocity – You are curious and can become effective in unfamiliar products, codebases and tools quickly.

Nice to have

• Experience with mobile applications or SDKs.
• Experience with Swift or Kotlin.
• Experience with API integration.
• Experience with automated testing or test frameworks.

Recruitment Process

• Hiring Manager Conversation (20–30 mins) - A short call to get to know you, share more about Storyteller and the QA Engineer role, and answer your questions.
• Paid Take-home Task (~60 mins) - A small, focused quality-engineering task that you can complete in your own time.
• Review and CTO Interview (60–75 mins) - We’ll review your submission together and discuss how you approached the task and what you tested.

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