{"id":2682794,"url":"https://alion.io/job/storyteller-qa-engineer-ai-native-storyteller-3","title":"QA Engineer - AI Native - Storyteller","company":{"id":5140,"name":"Storyteller","domain":"getstoryteller.com","url":"https://alion.io/company/storyteller","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"JazzHR","truth_index":null},"role":"QA","role_family":"QA","seniority":null,"employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["TR"],"hiring_countries_total":1,"salary":{"min":null,"max":20000,"currency":"EUR","period":"year","gross":null,"usd_annual":22418},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Kotlin","optional":false},{"name":"Slack","optional":false},{"name":"Swift","optional":false}],"status":"live","first_seen_at":"2026-10-16T06:59:48Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-19T03:04:39Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Up to EUR 20,000 per year, on a full-time, contractor contract\nFully remote working from anywhere in Turkey!\nExciting high growth product, relied on by leading global brands, particularly within sports\nWorking with the latest hardware, AI tools, and product workflows.\nABOUT US\nStoryteller 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.\nOur 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.\nAbout the Role\nThis 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.\nYour work will span the quality of SDK behaviour and the integration between Storyteller SDKs, platform services and APIs.\nStoryteller 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.\nThis is a hands-on engineering role, but not a separate QA gatekeeping function:\nYou’ll use AI coding agents and related tools to explore the SDK codebases, understand behaviour and accelerate quality work. \nYou’ll care about tests that protect important behaviour and run in real development and release workflows. \nYou’ll use product, technical, integration and release risk to identify the highest-value quality improvements. \nYou 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.\nRESPONSIBILITIES\nUse AI coding agents and related tools to explore the SDK codebases, understand behaviour and accelerate quality work. \nUse product, technical, integration and release risk to identify the highest-value quality improvements. \nDesign, build and maintain useful unit and component tests for SDK behaviour. \nDesign, build and maintain integration tests covering SDK interaction with Storyteller services and APIs. \nPut automated tests into active CI and release workflows, with failures that are clear and actionable. \nProve that tests detect meaningful breakage rather than merely producing passing output. \nInvestigate bugs using code, logs, APIs, test results and product behaviour. \nWhere appropriate, follow a well-understood issue through to a bounded production fix. \nWork with builders to improve testability and prevent repeated classes of defects. \nTurn repeated investigation or testing work into reusable AI workflows, tools, checks or test assets. \nCommunicate clearly in Slack and other team systems: state the evidence, impact, current understanding, owner and next action. \nContribute useful AI-assisted engineering practices to the wider SDK team while remaining primarily accountable for quality outcomes. \nContribute to tvOS, Android TV, Fire TV, Web and Roku as the role's scope expands. \n What Good Looks Like\nYou will be succeeding when:\nImportant SDK behaviours have dependable automated protection; \nUseful quality improvements land incrementally and are easy for the team to adopt; \nSDK-to-platform integration failures are detected early and are easy to diagnose; \nTests run reliably in the workflows the team actually uses; \nTest failures give the team enough information to act; \nWell-understood defects are followed through to an appropriate fix or clear handover; \nRepeated quality problems become better tests, tooling or product changes; \nAutomation and risk-based exploration provide evidence proportionate to the change; \nYour communication makes quality risks and next actions easy to understand; \nAnd the Storyteller team becomes more capable with AI because of practical workflows you have demonstrated through the work. \nQUALIFICATIONS\nWhat we’re looking for\nAI-native execution - You use AI to do substantive technical work, not only to write or summarise. You can give an agent useful context, break down an ambiguous problem, inspect its work, redirect it when necessary and keep going when the first approach fails. \nQuality and validation judgment - You can decide what is worth testing, recognise superficial tests and demonstrate that an automated test provides real protection. You think about false confidence, false positives, brittle tests, maintainability and failure diagnosis. \nAgency and ownership - You can take an ambiguous quality risk, investigate it, gather evidence, choose a sensible next step and move the work towards a useful outcome. \nTechnical comfort - You are comfortable working with repositories, code, APIs, CI, logs, command-line tools and automated test frameworks. You can understand and challenge AI-generated code well enough to validate and land it safely. \nProblem solving and systems thinking - You distinguish symptoms from root causes. When a problem repeats, you look for a reusable test, tool, check or workflow instead of treating every occurrence as a new manual task. \nClear communication - You communicate concisely and directly. You make evidence, impact, uncertainty, ownership and next actions visible without requiring someone else to reconstruct the situation. \nLearning velocity - You are curious and can become effective in unfamiliar products, codebases and tools quickly. You change your approach when the evidence shows that it is not working. \nYou do not need to be able to write Swift or Kotlin expertly without AI assistance, have deep experience across every Storyteller SDK platform, have held a traditional QA, test-automation or SDET title, or have managed a separate QA team.\nNice to have\nExperience with mobile applications or SDKs. \nExperience with Swift or Kotlin. \nExperience with API integration. \nExperience with automated testing or test frameworks. \nThese may help you become effective faster, but demonstrated AI-native execution, quality judgment and validation discipline matter more than matching a conventional technology checklist.\nIs this You?\nThis role will likely suit you if:\nYou can take an ambiguous quality risk from signal to outcome with limited supervision. \nYou can frame the problem, direct AI and other tools effectively, and choose a practical testing or investigation approach. \nYou validate output rigorously, communicate what you found and land useful work. \nYou improve the system for the next occurrence rather than treating every problem as a one-off. \nYou are comfortable being accountable for quality outcomes while quality remains a shared responsibility across the team.\nIt probably isn’t right for you if:\nYou want AI to produce technical work that you do not need to understand, explain or validate. \nYou prefer to wait for fully defined instructions rather than investigate ambiguous risks and choose a sensible next step. \nYou are looking for a separate QA gatekeeping role rather than working directly with builders and product owners throughout the lifecycle. \nRECRUITMENT PROCESS\nWe keep the process straightforward and respectful of your time.\n1. Hiring Manager Conversation (20-30 mins)\nA short call to get to know you, share more about Storyteller and the QA Engineer role, and answer your questions.\nThere is no technical exercise at this stage. We’ll both aim to decide whether it makes sense to go deeper\n2. Paid Take-home Task (~60 mins)\nA small, focused quality-engineering task that you can complete in your own time. We compensate you for completing it, regardless of the outcome.\nYou’re welcome to use AI tools. We’re interested in how you investigate unfamiliar software, identify meaningful risks, validate your work and explain your decisions-not how much code you can write from memory.\n3. Review and CTO Interview (60-75 mins)\nWe’ll review your submission together and discuss how you approached the task, what you tested, how you verified the results and any risks or limitations you identified.\nYou’ll also meet Dave, our CTO, and talk about how you investigate quality issues, use tools such as AI, communicate your findings and work with engineers to improve software quality.\nAnd that’s it.\n----------------------\nPrivacy Notice\nWe process your personal data for recruitment purposes in line with UK data protection law. AI tools may assist in reviewing applications, but decisions are made by our team. We retain data only as necessary for recruitment and compliance. 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